[Maria-developers] bzr commit into MariaDB 5.1, with Maria 1.5:maria branch (igor:2744) WL#24

12 Oct 2009

#At lp:maria based on revid:knielsen@knielsen-hq.org-20091006183755-y08lid6fg8mnr8sk

 2744 Igor Babaev	2009-10-11
      The main patch for WL#24: 
      "index_merge: fair choice between index_merge union and range access"
added:
  mysql-test/include/world.inc
  mysql-test/include/world_schema.inc
  mysql-test/r/range_vs_index_merge.result
  mysql-test/r/range_vs_index_merge_innodb.result
  mysql-test/t/range_vs_index_merge.test
  mysql-test/t/range_vs_index_merge_innodb.test
modified:
  mysql-test/r/index_merge_myisam.result
  sql/opt_range.cc
  sql/sql_list.h

per-file messages:
  mysql-test/include/world.inc
    A new include file to upload the world database.
  mysql-test/include/world_schema.inc
    A new include file to create tables of the world database.
  mysql-test/r/index_merge_myisam.result
    The results for test cases testing the optimizations added in WL#24 for MyISAM.
  mysql-test/r/range_vs_index_merge.result
    The results for test cases testing the optimizations added in WL#24 for InnoDB.
  mysql-test/t/range_vs_index_merge.test
    Test cases to test the optimizations added in WL#24 for MyISAM.
  mysql-test/t/range_vs_index_merge_innodb.test
    Test cases to test the optimizations added in WL#24 for InnoDB.
  sql/sql_list.h
    Fixed a bug that did not allow adding a non-empty list to an empty list.
=== added file 'mysql-test/include/world.inc'

--- a/mysql-test/include/world.inc	1970-01-01 00:00:00 +0000
+++ b/mysql-test/include/world.inc	2009-10-12 04:59:34 +0000
@@ -0,0 +1,5343 @@
+#
+# Populate the world database 
+# 
+
+# Table Country
+
+INSERT INTO Country VALUES
+('AFG','Afghanistan',652090.00,22720000,1),
+('NLD','Netherlands',41526.00,15864000,5),
+('ANT','Netherlands Antilles',800.00,217000,33),
+('ALB','Albania',28748.00,3401200,34),
+('DZA','Algeria',2381741.00,31471000,35),
+('ASM','American Samoa',199.00,68000,54),
+('AND','Andorra',468.00,78000,55),
+('AGO','Angola',1246700.00,12878000,56),
+('AIA','Anguilla',96.00,8000,62),
+('ATG','Antigua and Barbuda',442.00,68000,63),
+('ARE','United Arab Emirates',83600.00,2441000,65),
+('ARG','Argentina',2780400.00,37032000,69),
+('ARM','Armenia',29800.00,3520000,126),
+('ABW','Aruba',193.00,103000,129),
+('AUS','Australia',7741220.00,18886000,135),
+('AZE','Azerbaijan',86600.00,7734000,144),
+('BHS','Bahamas',13878.00,307000,148),
+('BHR','Bahrain',694.00,617000,149),
+('BGD','Bangladesh',143998.00,129155000,150),
+('BRB','Barbados',430.00,270000,174),
+('BEL','Belgium',30518.00,10239000,179),
+('BLZ','Belize',22696.00,241000,185),
+('BEN','Benin',112622.00,6097000,187),
+('BMU','Bermuda',53.00,65000,191),
+('BTN','Bhutan',47000.00,2124000,192),
+('BOL','Bolivia',1098581.00,8329000,194),
+('BIH','Bosnia and Herzegovina',51197.00,3972000,201),
+('BWA','Botswana',581730.00,1622000,204),
+('BRA','Brazil',8547403.00,170115000,211),
+('GBR','United Kingdom',242900.00,59623400,456),
+('VGB','Virgin Islands, British',151.00,21000,537),
+('BRN','Brunei',5765.00,328000,538),
+('BGR','Bulgaria',110994.00,8190900,539),
+('BFA','Burkina Faso',274000.00,11937000,549),
+('BDI','Burundi',27834.00,6695000,552),
+('CYM','Cayman Islands',264.00,38000,553),
+('CHL','Chile',756626.00,15211000,554),
+('COK','Cook Islands',236.00,20000,583),
+('CRI','Costa Rica',51100.00,4023000,584),
+('DJI','Djibouti',23200.00,638000,585),
+('DMA','Dominica',751.00,71000,586),
+('DOM','Dominican Republic',48511.00,8495000,587),
+('ECU','Ecuador',283561.00,12646000,594),
+('EGY','Egypt',1001449.00,68470000,608),
+('SLV','El Salvador',21041.00,6276000,645),
+('ERI','Eritrea',117600.00,3850000,652),
+('ESP','Spain',505992.00,39441700,653),
+('ZAF','South Africa',1221037.00,40377000,716),
+('ETH','Ethiopia',1104300.00,62565000,756),
+('FLK','Falkland Islands',12173.00,2000,763),
+('FJI','Fiji Islands',18274.00,817000,764),
+('PHL','Philippines',300000.00,75967000,766),
+('FRO','Faroe Islands',1399.00,43000,901),
+('GAB','Gabon',267668.00,1226000,902),
+('GMB','Gambia',11295.00,1305000,904),
+('GEO','Georgia',69700.00,4968000,905),
+('GHA','Ghana',238533.00,20212000,910),
+('GIB','Gibraltar',6.00,25000,915),
+('GRD','Grenada',344.00,94000,916),
+('GRL','Greenland',2166090.00,56000,917),
+('GLP','Guadeloupe',1705.00,456000,919),
+('GUM','Guam',549.00,168000,921),
+('GTM','Guatemala',108889.00,11385000,922),
+('GIN','Guinea',245857.00,7430000,926),
+('GNB','Guinea-Bissau',36125.00,1213000,927),
+('GUY','Guyana',214969.00,861000,928),
+('HTI','Haiti',27750.00,8222000,929),
+('HND','Honduras',112088.00,6485000,933),
+('HKG','Hong Kong',1075.00,6782000,937),
+('SJM','Svalbard and Jan Mayen',62422.00,3200,938),
+('IDN','Indonesia',1904569.00,212107000,939),
+('IND','India',3287263.00,1013662000,1109),
+('IRQ','Iraq',438317.00,23115000,1365),
+('IRN','Iran',1648195.00,67702000,1380),
+('IRL','Ireland',70273.00,3775100,1447),
+('ISL','Iceland',103000.00,279000,1449),
+('ISR','Israel',21056.00,6217000,1450),
+('ITA','Italy',301316.00,57680000,1464),
+('TMP','East Timor',14874.00,885000,1522),
+('AUT','Austria',83859.00,8091800,1523),
+('JAM','Jamaica',10990.00,2583000,1530),
+('JPN','Japan',377829.00,126714000,1532),
+('YEM','Yemen',527968.00,18112000,1780),
+('JOR','Jordan',88946.00,5083000,1786),
+('CXR','Christmas Island',135.00,2500,1791),
+('YUG','Yugoslavia',102173.00,10640000,1792),
+('KHM','Cambodia',181035.00,11168000,1800),
+('CMR','Cameroon',475442.00,15085000,1804),
+('CAN','Canada',9970610.00,31147000,1822),
+('CPV','Cape Verde',4033.00,428000,1859),
+('KAZ','Kazakstan',2724900.00,16223000,1864),
+('KEN','Kenya',580367.00,30080000,1881),
+('CAF','Central African Republic',622984.00,3615000,1889),
+('CHN','China',9572900.00,1277558000,1891),
+('KGZ','Kyrgyzstan',199900.00,4699000,2253),
+('KIR','Kiribati',726.00,83000,2256),
+('COL','Colombia',1138914.00,42321000,2257),
+('COM','Comoros',1862.00,578000,2295),
+('COG','Congo',342000.00,2943000,2296),
+('COD','Congo, The Democratic Republic of the',2344858.00,51654000,2298),
+('CCK','Cocos (Keeling) Islands',14.00,600,2317),
+('PRK','North Korea',120538.00,24039000,2318),
+('KOR','South Korea',99434.00,46844000,2331),
+('GRC','Greece',131626.00,10545700,2401),
+('HRV','Croatia',56538.00,4473000,2409),
+('CUB','Cuba',110861.00,11201000,2413),
+('KWT','Kuwait',17818.00,1972000,2429),
+('CYP','Cyprus',9251.00,754700,2430),
+('LAO','Laos',236800.00,5433000,2432),
+('LVA','Latvia',64589.00,2424200,2434),
+('LSO','Lesotho',30355.00,2153000,2437),
+('LBN','Lebanon',10400.00,3282000,2438),
+('LBR','Liberia',111369.00,3154000,2440),
+('LBY','Libyan Arab Jamahiriya',1759540.00,5605000,2441),
+('LIE','Liechtenstein',160.00,32300,2446),
+('LTU','Lithuania',65301.00,3698500,2447),
+('LUX','Luxembourg',2586.00,435700,2452),
+('ESH','Western Sahara',266000.00,293000,2453),
+('MAC','Macao',18.00,473000,2454),
+('MDG','Madagascar',587041.00,15942000,2455),
+('MKD','Macedonia',25713.00,2024000,2460),
+('MWI','Malawi',118484.00,10925000,2462),
+('MDV','Maldives',298.00,286000,2463),
+('MYS','Malaysia',329758.00,22244000,2464),
+('MLI','Mali',1240192.00,11234000,2482),
+('MLT','Malta',316.00,380200,2484),
+('MAR','Morocco',446550.00,28351000,2486),
+('MHL','Marshall Islands',181.00,64000,2507),
+('MTQ','Martinique',1102.00,395000,2508),
+('MRT','Mauritania',1025520.00,2670000,2509),
+('MUS','Mauritius',2040.00,1158000,2511),
+('MYT','Mayotte',373.00,149000,2514),
+('MEX','Mexico',1958201.00,98881000,2515),
+('FSM','Micronesia, Federated States of',702.00,119000,2689),
+('MDA','Moldova',33851.00,4380000,2690),
+('MCO','Monaco',1.50,34000,2695),
+('MNG','Mongolia',1566500.00,2662000,2696),
+('MSR','Montserrat',102.00,11000,2697),
+('MOZ','Mozambique',801590.00,19680000,2698),
+('MMR','Myanmar',676578.00,45611000,2710),
+('NAM','Namibia',824292.00,1726000,2726),
+('NRU','Nauru',21.00,12000,2728),
+('NPL','Nepal',147181.00,23930000,2729),
+('NIC','Nicaragua',130000.00,5074000,2734),
+('NER','Niger',1267000.00,10730000,2738),
+('NGA','Nigeria',923768.00,111506000,2754),
+('NIU','Niue',260.00,2000,2805),
+('NFK','Norfolk Island',36.00,2000,2806),
+('NOR','Norway',323877.00,4478500,2807),
+('CIV','Côte dIvoire',322463.00,14786000,2814),
+('OMN','Oman',309500.00,2542000,2821),
+('PAK','Pakistan',796095.00,156483000,2831),
+('PLW','Palau',459.00,19000,2881),
+('PAN','Panama',75517.00,2856000,2882),
+('PNG','Papua New Guinea',462840.00,4807000,2884),
+('PRY','Paraguay',406752.00,5496000,2885),
+('PER','Peru',1285216.00,25662000,2890),
+('PCN','Pitcairn',49.00,50,2912),
+('MNP','Northern Mariana Islands',464.00,78000,2913),
+('PRT','Portugal',91982.00,9997600,2914),
+('PRI','Puerto Rico',8875.00,3869000,2919),
+('POL','Poland',323250.00,38653600,2928),
+('GNQ','Equatorial Guinea',28051.00,453000,2972),
+('QAT','Qatar',11000.00,599000,2973),
+('FRA','France',551500.00,59225700,2974),
+('GUF','French Guiana',90000.00,181000,3014),
+('PYF','French Polynesia',4000.00,235000,3016),
+('REU','Réunion',2510.00,699000,3017),
+('ROM','Romania',238391.00,22455500,3018),
+('RWA','Rwanda',26338.00,7733000,3047),
+('SWE','Sweden',449964.00,8861400,3048),
+('SHN','Saint Helena',314.00,6000,3063),
+('KNA','Saint Kitts and Nevis',261.00,38000,3064),
+('LCA','Saint Lucia',622.00,154000,3065),
+('VCT','Saint Vincent and the Grenadines',388.00,114000,3066),
+('SPM','Saint Pierre and Miquelon',242.00,7000,3067),
+('DEU','Germany',357022.00,82164700,3068),
+('SLB','Solomon Islands',28896.00,444000,3161),
+('ZMB','Zambia',752618.00,9169000,3162),
+('WSM','Samoa',2831.00,180000,3169),
+('SMR','San Marino',61.00,27000,3171),
+('STP','Sao Tome and Principe',964.00,147000,3172),
+('SAU','Saudi Arabia',2149690.00,21607000,3173),
+('SEN','Senegal',196722.00,9481000,3198),
+('SYC','Seychelles',455.00,77000,3206),
+('SLE','Sierra Leone',71740.00,4854000,3207),
+('SGP','Singapore',618.00,3567000,3208),
+('SVK','Slovakia',49012.00,5398700,3209),
+('SVN','Slovenia',20256.00,1987800,3212),
+('SOM','Somalia',637657.00,10097000,3214),
+('LKA','Sri Lanka',65610.00,18827000,3217),
+('SDN','Sudan',2505813.00,29490000,3225),
+('FIN','Finland',338145.00,5171300,3236),
+('SUR','Suriname',163265.00,417000,3243),
+('SWZ','Swaziland',17364.00,1008000,3244),
+('CHE','Switzerland',41284.00,7160400,3248),
+('SYR','Syria',185180.00,16125000,3250),
+('TJK','Tajikistan',143100.00,6188000,3261),
+('TWN','Taiwan',36188.00,22256000,3263),
+('TZA','Tanzania',883749.00,33517000,3306),
+('DNK','Denmark',43094.00,5330000,3315),
+('THA','Thailand',513115.00,61399000,3320),
+('TGO','Togo',56785.00,4629000,3332),
+('TKL','Tokelau',12.00,2000,3333),
+('TON','Tonga',650.00,99000,3334),
+('TTO','Trinidad and Tobago',5130.00,1295000,3336),
+('TCD','Chad',1284000.00,7651000,3337),
+('CZE','Czech Republic',78866.00,10278100,3339),
+('TUN','Tunisia',163610.00,9586000,3349),
+('TUR','Turkey',774815.00,66591000,3358),
+('TKM','Turkmenistan',488100.00,4459000,3419),
+('TCA','Turks and Caicos Islands',430.00,17000,3423),
+('TUV','Tuvalu',26.00,12000,3424),
+('UGA','Uganda',241038.00,21778000,3425),
+('UKR','Ukraine',603700.00,50456000,3426),
+('HUN','Hungary',93030.00,10043200,3483),
+('URY','Uruguay',175016.00,3337000,3492),
+('NCL','New Caledonia',18575.00,214000,3493),
+('NZL','New Zealand',270534.00,3862000,3499),
+('UZB','Uzbekistan',447400.00,24318000,3503),
+('BLR','Belarus',207600.00,10236000,3520),
+('WLF','Wallis and Futuna',200.00,15000,3536),
+('VUT','Vanuatu',12189.00,190000,3537),
+('VAT','Holy See (Vatican City State)',0.40,1000,3538),
+('VEN','Venezuela',912050.00,24170000,3539),
+('RUS','Russian Federation',17075400.00,146934000,3580),
+('VNM','Vietnam',331689.00,79832000,3770),
+('EST','Estonia',45227.00,1439200,3791),
+('USA','United States',9363520.00,278357000,3813),
+('VIR','Virgin Islands, U.S.',347.00,93000,4067),
+('ZWE','Zimbabwe',390757.00,11669000,4068),
+('PSE','Palestine',6257.00,3101000,4074),
+('ATA','Antarctica',13120000.00,0,NULL),
+('BVT','Bouvet Island',59.00,0,NULL),
+('IOT','British Indian Ocean Territory',78.00,0,NULL),
+('SGS','South Georgia and the South Sandwich Islands',3903.00,0,NULL),
+('HMD','Heard Island and McDonald Islands',359.00,0,NULL),
+('ATF','French Southern territories',7780.00,0,NULL),
+('UMI','United States Minor Outlying Islands',16.00,0,NULL);
+
+# Table City
+
+INSERT INTO City VALUES
+(1,'Kabul','AFG',1780000),
+(2,'Qandahar','AFG',237500),
+(3,'Herat','AFG',186800),
+(4,'Mazar-e-Sharif','AFG',127800),
+(5,'Amsterdam','NLD',731200),
+(6,'Rotterdam','NLD',593321),
+(7,'Haag','NLD',440900),
+(8,'Utrecht','NLD',234323),
+(9,'Eindhoven','NLD',201843),
+(10,'Tilburg','NLD',193238),
+(11,'Groningen','NLD',172701),
+(12,'Breda','NLD',160398),
+(13,'Apeldoorn','NLD',153491),
+(14,'Nijmegen','NLD',152463),
+(15,'Enschede','NLD',149544),
+(16,'Haarlem','NLD',148772),
+(17,'Almere','NLD',142465),
+(18,'Arnhem','NLD',138020),
+(19,'Zaanstad','NLD',135621),
+(20,'´s-Hertogenbosch','NLD',129170),
+(21,'Amersfoort','NLD',126270),
+(22,'Maastricht','NLD',122087),
+(23,'Dordrecht','NLD',119811),
+(24,'Leiden','NLD',117196),
+(25,'Haarlemmermeer','NLD',110722),
+(26,'Zoetermeer','NLD',110214),
+(27,'Emmen','NLD',105853),
+(28,'Zwolle','NLD',105819),
+(29,'Ede','NLD',101574),
+(30,'Delft','NLD',95268),
+(31,'Heerlen','NLD',95052),
+(32,'Alkmaar','NLD',92713),
+(33,'Willemstad','ANT',2345),
+(34,'Tirana','ALB',270000),
+(35,'Alger','DZA',2168000),
+(36,'Oran','DZA',609823),
+(37,'Constantine','DZA',443727),
+(38,'Annaba','DZA',222518),
+(39,'Batna','DZA',183377),
+(40,'Sétif','DZA',179055),
+(41,'Sidi Bel Abbès','DZA',153106),
+(42,'Skikda','DZA',128747),
+(43,'Biskra','DZA',128281),
+(44,'Blida (el-Boulaida)','DZA',127284),
+(45,'Béjaïa','DZA',117162),
+(46,'Mostaganem','DZA',115212),
+(47,'Tébessa','DZA',112007),
+(48,'Tlemcen (Tilimsen)','DZA',110242),
+(49,'Béchar','DZA',107311),
+(50,'Tiaret','DZA',100118),
+(51,'Ech-Chleff (el-Asnam)','DZA',96794),
+(52,'Ghardaïa','DZA',89415),
+(53,'Tafuna','ASM',5200),
+(54,'Fagatogo','ASM',2323),
+(55,'Andorra la Vella','AND',21189),
+(56,'Luanda','AGO',2022000),
+(57,'Huambo','AGO',163100),
+(58,'Lobito','AGO',130000),
+(59,'Benguela','AGO',128300),
+(60,'Namibe','AGO',118200),
+(61,'South Hill','AIA',961),
+(62,'The Valley','AIA',595),
+(63,'Saint John´s','ATG',24000),
+(64,'Dubai','ARE',669181),
+(65,'Abu Dhabi','ARE',398695),
+(66,'Sharja','ARE',320095),
+(67,'al-Ayn','ARE',225970),
+(68,'Ajman','ARE',114395),
+(69,'Buenos Aires','ARG',2982146),
+(70,'La Matanza','ARG',1266461),
+(71,'Córdoba','ARG',1157507),
+(72,'Rosario','ARG',907718),
+(73,'Lomas de Zamora','ARG',622013),
+(74,'Quilmes','ARG',559249),
+(75,'Almirante Brown','ARG',538918),
+(76,'La Plata','ARG',521936),
+(77,'Mar del Plata','ARG',512880),
+(78,'San Miguel de Tucumán','ARG',470809),
+(79,'Lanús','ARG',469735),
+(80,'Merlo','ARG',463846),
+(81,'General San Martín','ARG',422542),
+(82,'Salta','ARG',367550),
+(83,'Moreno','ARG',356993),
+(84,'Santa Fé','ARG',353063),
+(85,'Avellaneda','ARG',353046),
+(86,'Tres de Febrero','ARG',352311),
+(87,'Morón','ARG',349246),
+(88,'Florencio Varela','ARG',315432),
+(89,'San Isidro','ARG',306341),
+(90,'Tigre','ARG',296226),
+(91,'Malvinas Argentinas','ARG',290335),
+(92,'Vicente López','ARG',288341),
+(93,'Berazategui','ARG',276916),
+(94,'Corrientes','ARG',258103),
+(95,'San Miguel','ARG',248700),
+(96,'Bahía Blanca','ARG',239810),
+(97,'Esteban Echeverría','ARG',235760),
+(98,'Resistencia','ARG',229212),
+(99,'José C. Paz','ARG',221754),
+(100,'Paraná','ARG',207041),
+(101,'Godoy Cruz','ARG',206998),
+(102,'Posadas','ARG',201273),
+(103,'Guaymallén','ARG',200595),
+(104,'Santiago del Estero','ARG',189947),
+(105,'San Salvador de Jujuy','ARG',178748),
+(106,'Hurlingham','ARG',170028),
+(107,'Neuquén','ARG',167296),
+(108,'Ituzaingó','ARG',158197),
+(109,'San Fernando','ARG',153036),
+(110,'Formosa','ARG',147636),
+(111,'Las Heras','ARG',145823),
+(112,'La Rioja','ARG',138117),
+(113,'San Fernando del Valle de Cata','ARG',134935),
+(114,'Río Cuarto','ARG',134355),
+(115,'Comodoro Rivadavia','ARG',124104),
+(116,'Mendoza','ARG',123027),
+(117,'San Nicolás de los Arroyos','ARG',119302),
+(118,'San Juan','ARG',119152),
+(119,'Escobar','ARG',116675),
+(120,'Concordia','ARG',116485),
+(121,'Pilar','ARG',113428),
+(122,'San Luis','ARG',110136),
+(123,'Ezeiza','ARG',99578),
+(124,'San Rafael','ARG',94651),
+(125,'Tandil','ARG',91101),
+(126,'Yerevan','ARM',1248700),
+(127,'Gjumri','ARM',211700),
+(128,'Vanadzor','ARM',172700),
+(129,'Oranjestad','ABW',29034),
+(130,'Sydney','AUS',3276207),
+(131,'Melbourne','AUS',2865329),
+(132,'Brisbane','AUS',1291117),
+(133,'Perth','AUS',1096829),
+(134,'Adelaide','AUS',978100),
+(135,'Canberra','AUS',322723),
+(136,'Gold Coast','AUS',311932),
+(137,'Newcastle','AUS',270324),
+(138,'Central Coast','AUS',227657),
+(139,'Wollongong','AUS',219761),
+(140,'Hobart','AUS',126118),
+(141,'Geelong','AUS',125382),
+(142,'Townsville','AUS',109914),
+(143,'Cairns','AUS',92273),
+(144,'Baku','AZE',1787800),
+(145,'Gäncä','AZE',299300),
+(146,'Sumqayit','AZE',283000),
+(147,'Mingäçevir','AZE',93900),
+(148,'Nassau','BHS',172000),
+(149,'al-Manama','BHR',148000),
+(150,'Dhaka','BGD',3612850),
+(151,'Chittagong','BGD',1392860),
+(152,'Khulna','BGD',663340),
+(153,'Rajshahi','BGD',294056),
+(154,'Narayanganj','BGD',202134),
+(155,'Rangpur','BGD',191398),
+(156,'Mymensingh','BGD',188713),
+(157,'Barisal','BGD',170232),
+(158,'Tungi','BGD',168702),
+(159,'Jessore','BGD',139710),
+(160,'Comilla','BGD',135313),
+(161,'Nawabganj','BGD',130577),
+(162,'Dinajpur','BGD',127815),
+(163,'Bogra','BGD',120170),
+(164,'Sylhet','BGD',117396),
+(165,'Brahmanbaria','BGD',109032),
+(166,'Tangail','BGD',106004),
+(167,'Jamalpur','BGD',103556),
+(168,'Pabna','BGD',103277),
+(169,'Naogaon','BGD',101266),
+(170,'Sirajganj','BGD',99669),
+(171,'Narsinghdi','BGD',98342),
+(172,'Saidpur','BGD',96777),
+(173,'Gazipur','BGD',96717),
+(174,'Bridgetown','BRB',6070),
+(175,'Antwerpen','BEL',446525),
+(176,'Gent','BEL',224180),
+(177,'Charleroi','BEL',200827),
+(178,'Liège','BEL',185639),
+(179,'Bruxelles [Brussel]','BEL',133859),
+(180,'Brugge','BEL',116246),
+(181,'Schaerbeek','BEL',105692),
+(182,'Namur','BEL',105419),
+(183,'Mons','BEL',90935),
+(184,'Belize City','BLZ',55810),
+(185,'Belmopan','BLZ',7105),
+(186,'Cotonou','BEN',536827),
+(187,'Porto-Novo','BEN',194000),
+(188,'Djougou','BEN',134099),
+(189,'Parakou','BEN',103577),
+(190,'Saint George','BMU',1800),
+(191,'Hamilton','BMU',1200),
+(192,'Thimphu','BTN',22000),
+(193,'Santa Cruz de la Sierra','BOL',935361),
+(194,'La Paz','BOL',758141),
+(195,'El Alto','BOL',534466),
+(196,'Cochabamba','BOL',482800),
+(197,'Oruro','BOL',223553),
+(198,'Sucre','BOL',178426),
+(199,'Potosí','BOL',140642),
+(200,'Tarija','BOL',125255);
+INSERT INTO City VALUES
+(201,'Sarajevo','BIH',360000),
+(202,'Banja Luka','BIH',143079),
+(203,'Zenica','BIH',96027),
+(204,'Gaborone','BWA',213017),
+(205,'Francistown','BWA',101805),
+(206,'São Paulo','BRA',9968485),
+(207,'Rio de Janeiro','BRA',5598953),
+(208,'Salvador','BRA',2302832),
+(209,'Belo Horizonte','BRA',2139125),
+(210,'Fortaleza','BRA',2097757),
+(211,'Brasília','BRA',1969868),
+(212,'Curitiba','BRA',1584232),
+(213,'Recife','BRA',1378087),
+(214,'Porto Alegre','BRA',1314032),
+(215,'Manaus','BRA',1255049),
+(216,'Belém','BRA',1186926),
+(217,'Guarulhos','BRA',1095874),
+(218,'Goiânia','BRA',1056330),
+(219,'Campinas','BRA',950043),
+(220,'São Gonçalo','BRA',869254),
+(221,'Nova Iguaçu','BRA',862225),
+(222,'São Luís','BRA',837588),
+(223,'Maceió','BRA',786288),
+(224,'Duque de Caxias','BRA',746758),
+(225,'São Bernardo do Campo','BRA',723132),
+(226,'Teresina','BRA',691942),
+(227,'Natal','BRA',688955),
+(228,'Osasco','BRA',659604),
+(229,'Campo Grande','BRA',649593),
+(230,'Santo André','BRA',630073),
+(231,'João Pessoa','BRA',584029),
+(232,'Jaboatão dos Guararapes','BRA',558680),
+(233,'Contagem','BRA',520801),
+(234,'São José dos Campos','BRA',515553),
+(235,'Uberlândia','BRA',487222),
+(236,'Feira de Santana','BRA',479992),
+(237,'Ribeirão Preto','BRA',473276),
+(238,'Sorocaba','BRA',466823),
+(239,'Niterói','BRA',459884),
+(240,'Cuiabá','BRA',453813),
+(241,'Juiz de Fora','BRA',450288),
+(242,'Aracaju','BRA',445555),
+(243,'São João de Meriti','BRA',440052),
+(244,'Londrina','BRA',432257),
+(245,'Joinville','BRA',428011),
+(246,'Belford Roxo','BRA',425194),
+(247,'Santos','BRA',408748),
+(248,'Ananindeua','BRA',400940),
+(249,'Campos dos Goytacazes','BRA',398418),
+(250,'Mauá','BRA',375055),
+(251,'Carapicuíba','BRA',357552),
+(252,'Olinda','BRA',354732),
+(253,'Campina Grande','BRA',352497),
+(254,'São José do Rio Preto','BRA',351944),
+(255,'Caxias do Sul','BRA',349581),
+(256,'Moji das Cruzes','BRA',339194),
+(257,'Diadema','BRA',335078),
+(258,'Aparecida de Goiânia','BRA',324662),
+(259,'Piracicaba','BRA',319104),
+(260,'Cariacica','BRA',319033),
+(261,'Vila Velha','BRA',318758),
+(262,'Pelotas','BRA',315415),
+(263,'Bauru','BRA',313670),
+(264,'Porto Velho','BRA',309750),
+(265,'Serra','BRA',302666),
+(266,'Betim','BRA',302108),
+(267,'Jundíaí','BRA',296127),
+(268,'Canoas','BRA',294125),
+(269,'Franca','BRA',290139),
+(270,'São Vicente','BRA',286848),
+(271,'Maringá','BRA',286461),
+(272,'Montes Claros','BRA',286058),
+(273,'Anápolis','BRA',282197),
+(274,'Florianópolis','BRA',281928),
+(275,'Petrópolis','BRA',279183),
+(276,'Itaquaquecetuba','BRA',270874),
+(277,'Vitória','BRA',270626),
+(278,'Ponta Grossa','BRA',268013),
+(279,'Rio Branco','BRA',259537),
+(280,'Foz do Iguaçu','BRA',259425),
+(281,'Macapá','BRA',256033),
+(282,'Ilhéus','BRA',254970),
+(283,'Vitória da Conquista','BRA',253587),
+(284,'Uberaba','BRA',249225),
+(285,'Paulista','BRA',248473),
+(286,'Limeira','BRA',245497),
+(287,'Blumenau','BRA',244379),
+(288,'Caruaru','BRA',244247),
+(289,'Santarém','BRA',241771),
+(290,'Volta Redonda','BRA',240315),
+(291,'Novo Hamburgo','BRA',239940),
+(292,'Caucaia','BRA',238738),
+(293,'Santa Maria','BRA',238473),
+(294,'Cascavel','BRA',237510),
+(295,'Guarujá','BRA',237206),
+(296,'Ribeirão das Neves','BRA',232685),
+(297,'Governador Valadares','BRA',231724),
+(298,'Taubaté','BRA',229130),
+(299,'Imperatriz','BRA',224564),
+(300,'Gravataí','BRA',223011),
+(301,'Embu','BRA',222223),
+(302,'Mossoró','BRA',214901),
+(303,'Várzea Grande','BRA',214435),
+(304,'Petrolina','BRA',210540),
+(305,'Barueri','BRA',208426),
+(306,'Viamão','BRA',207557),
+(307,'Ipatinga','BRA',206338),
+(308,'Juazeiro','BRA',201073),
+(309,'Juazeiro do Norte','BRA',199636),
+(310,'Taboão da Serra','BRA',197550),
+(311,'São José dos Pinhais','BRA',196884),
+(312,'Magé','BRA',196147),
+(313,'Suzano','BRA',195434),
+(314,'São Leopoldo','BRA',189258),
+(315,'Marília','BRA',188691),
+(316,'São Carlos','BRA',187122),
+(317,'Sumaré','BRA',186205),
+(318,'Presidente Prudente','BRA',185340),
+(319,'Divinópolis','BRA',185047),
+(320,'Sete Lagoas','BRA',182984),
+(321,'Rio Grande','BRA',182222),
+(322,'Itabuna','BRA',182148),
+(323,'Jequié','BRA',179128),
+(324,'Arapiraca','BRA',178988),
+(325,'Colombo','BRA',177764),
+(326,'Americana','BRA',177409),
+(327,'Alvorada','BRA',175574),
+(328,'Araraquara','BRA',174381),
+(329,'Itaboraí','BRA',173977),
+(330,'Santa Bárbara d´Oeste','BRA',171657),
+(331,'Nova Friburgo','BRA',170697),
+(332,'Jacareí','BRA',170356),
+(333,'Araçatuba','BRA',169303),
+(334,'Barra Mansa','BRA',168953),
+(335,'Praia Grande','BRA',168434),
+(336,'Marabá','BRA',167795),
+(337,'Criciúma','BRA',167661),
+(338,'Boa Vista','BRA',167185),
+(339,'Passo Fundo','BRA',166343),
+(340,'Dourados','BRA',164716),
+(341,'Santa Luzia','BRA',164704),
+(342,'Rio Claro','BRA',163551),
+(343,'Maracanaú','BRA',162022),
+(344,'Guarapuava','BRA',160510),
+(345,'Rondonópolis','BRA',155115),
+(346,'São José','BRA',155105),
+(347,'Cachoeiro de Itapemirim','BRA',155024),
+(348,'Nilópolis','BRA',153383),
+(349,'Itapevi','BRA',150664),
+(350,'Cabo de Santo Agostinho','BRA',149964),
+(351,'Camaçari','BRA',149146),
+(352,'Sobral','BRA',146005),
+(353,'Itajaí','BRA',145197),
+(354,'Chapecó','BRA',144158),
+(355,'Cotia','BRA',140042),
+(356,'Lages','BRA',139570),
+(357,'Ferraz de Vasconcelos','BRA',139283),
+(358,'Indaiatuba','BRA',135968),
+(359,'Hortolândia','BRA',135755),
+(360,'Caxias','BRA',133980),
+(361,'São Caetano do Sul','BRA',133321),
+(362,'Itu','BRA',132736),
+(363,'Nossa Senhora do Socorro','BRA',131351),
+(364,'Parnaíba','BRA',129756),
+(365,'Poços de Caldas','BRA',129683),
+(366,'Teresópolis','BRA',128079),
+(367,'Barreiras','BRA',127801),
+(368,'Castanhal','BRA',127634),
+(369,'Alagoinhas','BRA',126820),
+(370,'Itapecerica da Serra','BRA',126672),
+(371,'Uruguaiana','BRA',126305),
+(372,'Paranaguá','BRA',126076),
+(373,'Ibirité','BRA',125982),
+(374,'Timon','BRA',125812),
+(375,'Luziânia','BRA',125597),
+(376,'Macaé','BRA',125597),
+(377,'Teófilo Otoni','BRA',124489),
+(378,'Moji-Guaçu','BRA',123782),
+(379,'Palmas','BRA',121919),
+(380,'Pindamonhangaba','BRA',121904),
+(381,'Francisco Morato','BRA',121197),
+(382,'Bagé','BRA',120793),
+(383,'Sapucaia do Sul','BRA',120217),
+(384,'Cabo Frio','BRA',119503),
+(385,'Itapetininga','BRA',119391),
+(386,'Patos de Minas','BRA',119262),
+(387,'Camaragibe','BRA',118968),
+(388,'Bragança Paulista','BRA',116929),
+(389,'Queimados','BRA',115020),
+(390,'Araguaína','BRA',114948),
+(391,'Garanhuns','BRA',114603),
+(392,'Vitória de Santo Antão','BRA',113595),
+(393,'Santa Rita','BRA',113135),
+(394,'Barbacena','BRA',113079),
+(395,'Abaetetuba','BRA',111258),
+(396,'Jaú','BRA',109965),
+(397,'Lauro de Freitas','BRA',109236),
+(398,'Franco da Rocha','BRA',108964),
+(399,'Teixeira de Freitas','BRA',108441),
+(400,'Varginha','BRA',108314);
+INSERT INTO City VALUES
+(401,'Ribeirão Pires','BRA',108121),
+(402,'Sabará','BRA',107781),
+(403,'Catanduva','BRA',107761),
+(404,'Rio Verde','BRA',107755),
+(405,'Botucatu','BRA',107663),
+(406,'Colatina','BRA',107354),
+(407,'Santa Cruz do Sul','BRA',106734),
+(408,'Linhares','BRA',106278),
+(409,'Apucarana','BRA',105114),
+(410,'Barretos','BRA',104156),
+(411,'Guaratinguetá','BRA',103433),
+(412,'Cachoeirinha','BRA',103240),
+(413,'Codó','BRA',103153),
+(414,'Jaraguá do Sul','BRA',102580),
+(415,'Cubatão','BRA',102372),
+(416,'Itabira','BRA',102217),
+(417,'Itaituba','BRA',101320),
+(418,'Araras','BRA',101046),
+(419,'Resende','BRA',100627),
+(420,'Atibaia','BRA',100356),
+(421,'Pouso Alegre','BRA',100028),
+(422,'Toledo','BRA',99387),
+(423,'Crato','BRA',98965),
+(424,'Passos','BRA',98570),
+(425,'Araguari','BRA',98399),
+(426,'São José de Ribamar','BRA',98318),
+(427,'Pinhais','BRA',98198),
+(428,'Sertãozinho','BRA',98140),
+(429,'Conselheiro Lafaiete','BRA',97507),
+(430,'Paulo Afonso','BRA',97291),
+(431,'Angra dos Reis','BRA',96864),
+(432,'Eunápolis','BRA',96610),
+(433,'Salto','BRA',96348),
+(434,'Ourinhos','BRA',96291),
+(435,'Parnamirim','BRA',96210),
+(436,'Jacobina','BRA',96131),
+(437,'Coronel Fabriciano','BRA',95933),
+(438,'Birigui','BRA',94685),
+(439,'Tatuí','BRA',93897),
+(440,'Ji-Paraná','BRA',93346),
+(441,'Bacabal','BRA',93121),
+(442,'Cametá','BRA',92779),
+(443,'Guaíba','BRA',92224),
+(444,'São Lourenço da Mata','BRA',91999),
+(445,'Santana do Livramento','BRA',91779),
+(446,'Votorantim','BRA',91777),
+(447,'Campo Largo','BRA',91203),
+(448,'Patos','BRA',90519),
+(449,'Ituiutaba','BRA',90507),
+(450,'Corumbá','BRA',90111),
+(451,'Palhoça','BRA',89465),
+(452,'Barra do Piraí','BRA',89388),
+(453,'Bento Gonçalves','BRA',89254),
+(454,'Poá','BRA',89236),
+(455,'Águas Lindas de Goiás','BRA',89200),
+(456,'London','GBR',7285000),
+(457,'Birmingham','GBR',1013000),
+(458,'Glasgow','GBR',619680),
+(459,'Liverpool','GBR',461000),
+(460,'Edinburgh','GBR',450180),
+(461,'Sheffield','GBR',431607),
+(462,'Manchester','GBR',430000),
+(463,'Leeds','GBR',424194),
+(464,'Bristol','GBR',402000),
+(465,'Cardiff','GBR',321000),
+(466,'Coventry','GBR',304000),
+(467,'Leicester','GBR',294000),
+(468,'Bradford','GBR',289376),
+(469,'Belfast','GBR',287500),
+(470,'Nottingham','GBR',287000),
+(471,'Kingston upon Hull','GBR',262000),
+(472,'Plymouth','GBR',253000),
+(473,'Stoke-on-Trent','GBR',252000),
+(474,'Wolverhampton','GBR',242000),
+(475,'Derby','GBR',236000),
+(476,'Swansea','GBR',230000),
+(477,'Southampton','GBR',216000),
+(478,'Aberdeen','GBR',213070),
+(479,'Northampton','GBR',196000),
+(480,'Dudley','GBR',192171),
+(481,'Portsmouth','GBR',190000),
+(482,'Newcastle upon Tyne','GBR',189150),
+(483,'Sunderland','GBR',183310),
+(484,'Luton','GBR',183000),
+(485,'Swindon','GBR',180000),
+(486,'Southend-on-Sea','GBR',176000),
+(487,'Walsall','GBR',174739),
+(488,'Bournemouth','GBR',162000),
+(489,'Peterborough','GBR',156000),
+(490,'Brighton','GBR',156124),
+(491,'Blackpool','GBR',151000),
+(492,'Dundee','GBR',146690),
+(493,'West Bromwich','GBR',146386),
+(494,'Reading','GBR',148000),
+(495,'Oldbury/Smethwick (Warley)','GBR',145542),
+(496,'Middlesbrough','GBR',145000),
+(497,'Huddersfield','GBR',143726),
+(498,'Oxford','GBR',144000),
+(499,'Poole','GBR',141000),
+(500,'Bolton','GBR',139020),
+(501,'Blackburn','GBR',140000),
+(502,'Newport','GBR',139000),
+(503,'Preston','GBR',135000),
+(504,'Stockport','GBR',132813),
+(505,'Norwich','GBR',124000),
+(506,'Rotherham','GBR',121380),
+(507,'Cambridge','GBR',121000),
+(508,'Watford','GBR',113080),
+(509,'Ipswich','GBR',114000),
+(510,'Slough','GBR',112000),
+(511,'Exeter','GBR',111000),
+(512,'Cheltenham','GBR',106000),
+(513,'Gloucester','GBR',107000),
+(514,'Saint Helens','GBR',106293),
+(515,'Sutton Coldfield','GBR',106001),
+(516,'York','GBR',104425),
+(517,'Oldham','GBR',103931),
+(518,'Basildon','GBR',100924),
+(519,'Worthing','GBR',100000),
+(520,'Chelmsford','GBR',97451),
+(521,'Colchester','GBR',96063),
+(522,'Crawley','GBR',97000),
+(523,'Gillingham','GBR',92000),
+(524,'Solihull','GBR',94531),
+(525,'Rochdale','GBR',94313),
+(526,'Birkenhead','GBR',93087),
+(527,'Worcester','GBR',95000),
+(528,'Hartlepool','GBR',92000),
+(529,'Halifax','GBR',91069),
+(530,'Woking/Byfleet','GBR',92000),
+(531,'Southport','GBR',90959),
+(532,'Maidstone','GBR',90878),
+(533,'Eastbourne','GBR',90000),
+(534,'Grimsby','GBR',89000),
+(535,'Saint Helier','GBR',27523),
+(536,'Douglas','GBR',23487),
+(537,'Road Town','VGB',8000),
+(538,'Bandar Seri Begawan','BRN',21484),
+(539,'Sofija','BGR',1122302),
+(540,'Plovdiv','BGR',342584),
+(541,'Varna','BGR',299801),
+(542,'Burgas','BGR',195255),
+(543,'Ruse','BGR',166467),
+(544,'Stara Zagora','BGR',147939),
+(545,'Pleven','BGR',121952),
+(546,'Sliven','BGR',105530),
+(547,'Dobric','BGR',100399),
+(548,'umen','BGR',94686),
+(549,'Ouagadougou','BFA',824000),
+(550,'Bobo-Dioulasso','BFA',300000),
+(551,'Koudougou','BFA',105000),
+(552,'Bujumbura','BDI',300000),
+(553,'George Town','CYM',19600),
+(554,'Santiago de Chile','CHL',4703954),
+(555,'Puente Alto','CHL',386236),
+(556,'Viña del Mar','CHL',312493),
+(557,'Valparaíso','CHL',293800),
+(558,'Talcahuano','CHL',277752),
+(559,'Antofagasta','CHL',251429),
+(560,'San Bernardo','CHL',241910),
+(561,'Temuco','CHL',233041),
+(562,'Concepción','CHL',217664),
+(563,'Rancagua','CHL',212977),
+(564,'Arica','CHL',189036),
+(565,'Talca','CHL',187557),
+(566,'Chillán','CHL',178182),
+(567,'Iquique','CHL',177892),
+(568,'Los Angeles','CHL',158215),
+(569,'Puerto Montt','CHL',152194),
+(570,'Coquimbo','CHL',143353),
+(571,'Osorno','CHL',141468),
+(572,'La Serena','CHL',137409),
+(573,'Calama','CHL',137265),
+(574,'Valdivia','CHL',133106),
+(575,'Punta Arenas','CHL',125631),
+(576,'Copiapó','CHL',120128),
+(577,'Quilpué','CHL',118857),
+(578,'Curicó','CHL',115766),
+(579,'Ovalle','CHL',94854),
+(580,'Coronel','CHL',93061),
+(581,'San Pedro de la Paz','CHL',91684),
+(582,'Melipilla','CHL',91056),
+(583,'Avarua','COK',11900),
+(584,'San José','CRI',339131),
+(585,'Djibouti','DJI',383000),
+(586,'Roseau','DMA',16243),
+(587,'Santo Domingo de Guzmán','DOM',1609966),
+(588,'Santiago de los Caballeros','DOM',365463),
+(589,'La Romana','DOM',140204),
+(590,'San Pedro de Macorís','DOM',124735),
+(591,'San Francisco de Macorís','DOM',108485),
+(592,'San Felipe de Puerto Plata','DOM',89423),
+(593,'Guayaquil','ECU',2070040),
+(594,'Quito','ECU',1573458),
+(595,'Cuenca','ECU',270353),
+(596,'Machala','ECU',210368),
+(597,'Santo Domingo de los Colorados','ECU',202111),
+(598,'Portoviejo','ECU',176413),
+(599,'Ambato','ECU',169612),
+(600,'Manta','ECU',164739);
+INSERT INTO City VALUES
+(601,'Duran [Eloy Alfaro]','ECU',152514),
+(602,'Ibarra','ECU',130643),
+(603,'Quevedo','ECU',129631),
+(604,'Milagro','ECU',124177),
+(605,'Loja','ECU',123875),
+(606,'Ríobamba','ECU',123163),
+(607,'Esmeraldas','ECU',123045),
+(608,'Cairo','EGY',6789479),
+(609,'Alexandria','EGY',3328196),
+(610,'Giza','EGY',2221868),
+(611,'Shubra al-Khayma','EGY',870716),
+(612,'Port Said','EGY',469533),
+(613,'Suez','EGY',417610),
+(614,'al-Mahallat al-Kubra','EGY',395402),
+(615,'Tanta','EGY',371010),
+(616,'al-Mansura','EGY',369621),
+(617,'Luxor','EGY',360503),
+(618,'Asyut','EGY',343498),
+(619,'Bahtim','EGY',275807),
+(620,'Zagazig','EGY',267351),
+(621,'al-Faiyum','EGY',260964),
+(622,'Ismailia','EGY',254477),
+(623,'Kafr al-Dawwar','EGY',231978),
+(624,'Assuan','EGY',219017),
+(625,'Damanhur','EGY',212203),
+(626,'al-Minya','EGY',201360),
+(627,'Bani Suwayf','EGY',172032),
+(628,'Qina','EGY',171275),
+(629,'Sawhaj','EGY',170125),
+(630,'Shibin al-Kawm','EGY',159909),
+(631,'Bulaq al-Dakrur','EGY',148787),
+(632,'Banha','EGY',145792),
+(633,'Warraq al-Arab','EGY',127108),
+(634,'Kafr al-Shaykh','EGY',124819),
+(635,'Mallawi','EGY',119283),
+(636,'Bilbays','EGY',113608),
+(637,'Mit Ghamr','EGY',101801),
+(638,'al-Arish','EGY',100447),
+(639,'Talkha','EGY',97700),
+(640,'Qalyub','EGY',97200),
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+(798,'Cainta','PHL',242511),
+(799,'San Pedro','PHL',231403),
+  (800,'Navotas','PHL',230403);
+INSERT INTO City VALUES
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+(802,'San Fernando','PHL',221857),
+(803,'Lipa','PHL',218447),
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+(998,'Ciparay','IDN',111500),
+(999,'Lhokseumawe','IDN',109600),
+(1000,'Taman','IDN',107000);
+INSERT INTO City VALUES
+(1001,'Depok','IDN',106800),
+(1002,'Citeureup','IDN',105100),
+(1003,'Pemalang','IDN',103500),
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+(1145,'Jammu','IND',214737),
+(1146,'Ramagundam','IND',214384),
+(1147,'Eluru','IND',212866),
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+(1152,'Bihar Sharif','IND',201323),
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+(1158,'Sangli','IND',193197),
+(1159,'Parbhani','IND',190255),
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+(1161,'Bijapur','IND',186939),
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+(1197,'Lalbahadur Nagar','IND',155500),
+(1198,'Aizawl','IND',155240),
+(1199,'Uluberia','IND',155172),
+(1200,'Katihar','IND',154367);
+INSERT INTO City VALUES
+(1201,'Cuddalore','IND',153086),
+(1202,'Hugli-Chinsurah','IND',151806),
+(1203,'Dhanbad','IND',151789),
+(1204,'Raiganj','IND',151045),
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+(1208,'Kanchipuram','IND',150100),
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+(1211,'Bharatpur','IND',148519),
+(1212,'Sikar','IND',148272),
+(1213,'Hardwar (Haridwar)','IND',147305),
+(1214,'Dabgram','IND',147217),
+(1215,'Morena','IND',147124),
+(1216,'Noida','IND',146514),
+(1217,'Hapur','IND',146262),
+(1218,'Bhusawal','IND',145143),
+(1219,'Khandwa','IND',145133),
+(1220,'Yamuna Nagar','IND',144346),
+(1221,'Sonipat (Sonepat)','IND',143922),
+(1222,'Tenali','IND',143726),
+(1223,'Raurkela Civil Township','IND',140408),
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+(1225,'Kumbakonam','IND',139483),
+(1226,'Ingraj Bazar (English Bazar)','IND',139204),
+(1227,'Timkur','IND',138903),
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+(1363,'Raigarh','IND',89166),
+(1364,'Vejalpur','IND',89053),
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+(1398,'Zanjan','IRN',286295),
+(1399,'Sanandaj','IRN',277808),
+(1400,'Bandar-e-Abbas','IRN',273578);
+INSERT INTO City VALUES
+(1401,'Khorramabad','IRN',272815),
+(1402,'Eslamshahr','IRN',265450),
+(1403,'Borujerd','IRN',217804),
+(1404,'Abadan','IRN',206073),
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+(1598,'Aomori','JPN',295969),
+(1599,'Hakodate','JPN',294788),
+(1600,'Akashi','JPN',292253);
+INSERT INTO City VALUES
+(1601,'Yokkaichi','JPN',288173),
+(1602,'Fukushima','JPN',287525),
+(1603,'Morioka','JPN',287353),
+(1604,'Maebashi','JPN',284473),
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+(1616,'Fukui','JPN',254818),
+(1617,'Hiratsuka','JPN',254207),
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+(1798,'Subotica','YUG',100386),
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+INSERT INTO City VALUES
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+INSERT INTO City VALUES
+(2001,'Tengzhou','CHN',315083),
+(2002,'Chaozhou','CHN',313469),
+(2003,'Yangzhou','CHN',312892),
+(2004,'Dongwan','CHN',308669),
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+INSERT INTO City VALUES
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+(2399,'Tonghae','KOR',95472),
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+INSERT INTO City VALUES
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+(2530,'Mérida','MEX',703324),
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+(2598,'San Juan del Río','MEX',179300),
+(2599,'San Felipe del Progreso','MEX',177330),
+(2600,'Córdoba','MEX',176952);
+INSERT INTO City VALUES
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+(2602,'Ocosingo','MEX',171495),
+(2603,'Carmen','MEX',171367),
+(2604,'Lázaro Cárdenas','MEX',170878),
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+INSERT INTO City VALUES
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+INSERT INTO City VALUES
+(3001,'Metz','FRA',123776),
+(3002,'Besançon','FRA',117733),
+(3003,'Caen','FRA',113987),
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+(3101,'Oberhausen','DEU',222349),
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+(3145,'Zwickau','DEU',104146),
+(3146,'Hildesheim','DEU',104013),
+(3147,'Witten','DEU',103384),
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+(3161,'Honiara','SLB',50100),
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+(3168,'Luanshya','ZMB',118100),
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+(3172,'São Tomé','STP',49541),
+(3173,'Riyadh','SAU',3324000),
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+(3193,'al-Qatif','SAU',98900),
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+(3196,'Najran','SAU',91000),
+(3197,'Pikine','SEN',855287),
+(3198,'Dakar','SEN',785071),
+(3199,'Thiès','SEN',248000),
+(3200,'Kaolack','SEN',199000);
+INSERT INTO City VALUES
+(3201,'Ziguinchor','SEN',192000),
+(3202,'Rufisque','SEN',150000),
+(3203,'Saint-Louis','SEN',132400),
+(3204,'Mbour','SEN',109300),
+(3205,'Diourbel','SEN',99400),
+(3206,'Victoria','SYC',41000),
+(3207,'Freetown','SLE',850000),
+(3208,'Singapore','SGP',4017733),
+(3209,'Bratislava','SVK',448292),
+(3210,'Koice','SVK',241874),
+(3211,'Preov','SVK',93977),
+(3212,'Ljubljana','SVN',270986),
+(3213,'Maribor','SVN',115532),
+(3214,'Mogadishu','SOM',997000),
+(3215,'Hargeysa','SOM',90000),
+(3216,'Kismaayo','SOM',90000),
+(3217,'Colombo','LKA',645000),
+(3218,'Dehiwala','LKA',203000),
+(3219,'Moratuwa','LKA',190000),
+(3220,'Jaffna','LKA',149000),
+(3221,'Kandy','LKA',140000),
+(3222,'Sri Jayawardenepura Kotte','LKA',118000),
+(3223,'Negombo','LKA',100000),
+(3224,'Omdurman','SDN',1271403),
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+(3226,'Sharq al-Nil','SDN',700887),
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+(3233,'Kusti','SDN',173599),
+(3234,'al-Fashir','SDN',141884),
+(3235,'Juba','SDN',114980),
+(3236,'Helsinki [Helsingfors]','FIN',555474),
+(3237,'Espoo','FIN',213271),
+(3238,'Tampere','FIN',195468),
+(3239,'Vantaa','FIN',178471),
+(3240,'Turku [Åbo]','FIN',172561),
+(3241,'Oulu','FIN',120753),
+(3242,'Lahti','FIN',96921),
+(3243,'Paramaribo','SUR',112000),
+(3244,'Mbabane','SWZ',61000),
+(3245,'Zürich','CHE',336800),
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+(3303,'Ilan','TWN',92000),
+(3304,'Miaoli','TWN',90000),
+(3305,'Dar es Salaam','TZA',1747000),
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+(3322,'Nakhon Ratchasima','THA',181400),
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+(3346,'Hradec Králové','CZE',98080),
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+(3348,'Pardubice','CZE',91309),
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+(3350,'Sfax','TUN',257800),
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+(3352,'Ettadhamen','TUN',178600),
+(3353,'Sousse','TUN',145900),
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+(3384,'Balikesir','TUR',196382),
+(3385,'Sakarya (Adapazari)','TUR',190641),
+(3386,'Iskenderun','TUR',153022),
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+(3388,'Çorum','TUR',145495),
+(3389,'Kütahya','TUR',144761),
+(3390,'Hatay (Antakya)','TUR',143982),
+(3391,'Kirikkale','TUR',142044),
+(3392,'Adiyaman','TUR',141529),
+(3393,'Trabzon','TUR',138234),
+(3394,'Ordu','TUR',133642),
+(3395,'Aydin','TUR',128651),
+(3396,'Usak','TUR',128162),
+(3397,'Edirne','TUR',123383),
+(3398,'Çorlu','TUR',123300),
+(3399,'Isparta','TUR',121911),
+(3400,'Karabük','TUR',118285);
+INSERT INTO City VALUES
+(3401,'Kilis','TUR',118245),
+(3402,'Alanya','TUR',117300),
+(3403,'Kiziltepe','TUR',112000),
+(3404,'Zonguldak','TUR',111542),
+(3405,'Siirt','TUR',107100),
+(3406,'Viransehir','TUR',106400),
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+(3410,'Aksaray','TUR',102681),
+(3411,'Ceyhan','TUR',102412),
+(3412,'Erzincan','TUR',102304),
+(3413,'Bismil','TUR',101400),
+(3414,'Nazilli','TUR',99900),
+(3415,'Tokat','TUR',99500),
+(3416,'Kars','TUR',93000),
+(3417,'Inegöl','TUR',90500),
+(3418,'Bandirma','TUR',90200),
+(3419,'Ashgabat','TKM',540600),
+(3420,'Chärjew','TKM',189200),
+(3421,'Dashhowuz','TKM',141800),
+(3422,'Mary','TKM',101000),
+(3423,'Cockburn Town','TCA',4800),
+(3424,'Funafuti','TUV',4600),
+(3425,'Kampala','UGA',890800),
+(3426,'Kyiv','UKR',2624000),
+(3427,'Harkova [Harkiv]','UKR',1500000),
+(3428,'Dnipropetrovsk','UKR',1103000),
+(3429,'Donetsk','UKR',1050000),
+(3430,'Odesa','UKR',1011000),
+(3431,'Zaporizzja','UKR',848000),
+(3432,'Lviv','UKR',788000),
+(3433,'Kryvyi Rig','UKR',703000),
+(3434,'Mykolajiv','UKR',508000),
+(3435,'Mariupol','UKR',490000),
+(3436,'Lugansk','UKR',469000),
+(3437,'Vinnytsja','UKR',391000),
+(3438,'Makijivka','UKR',384000),
+(3439,'Herson','UKR',353000),
+(3440,'Sevastopol','UKR',348000),
+(3441,'Simferopol','UKR',339000),
+(3442,'Pultava [Poltava]','UKR',313000),
+(3443,'Ternigiv','UKR',313000),
+(3444,'Terkasy','UKR',309000),
+(3445,'Gorlivka','UKR',299000),
+(3446,'Zytomyr','UKR',297000),
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+(3448,'Dniprodzerzynsk','UKR',270000),
+(3449,'Kirovograd','UKR',265000),
+(3450,'Hmelnytskyi','UKR',262000),
+(3451,'Ternivtsi','UKR',259000),
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+(3454,'Ivano-Frankivsk','UKR',237000),
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+(3458,'Kramatorsk','UKR',186000),
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+(3464,'Sjeverodonetsk','UKR',127000),
+(3465,'Slovjansk','UKR',127000),
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+(3535,'Molodetno','BLR',97000),
+(3536,'Mata-Utu','WLF',1137),
+(3537,'Port-Vila','VUT',33700),
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+(3552,'Cabimas','VEN',221329),
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+(3554,'Turmero','VEN',217499),
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+(3557,'Santa Ana de Coro','VEN',185766),
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+(3598,'Izevsk','RUS',652800),
+(3599,'Krasnodar','RUS',639000),
+(3600,'Jaroslavl','RUS',616700);
+INSERT INTO City VALUES
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+(3602,'Vladivostok','RUS',606200),
+(3603,'Irkutsk','RUS',593700),
+(3604,'Barnaul','RUS',580100),
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+(3798,'Phoenix','USA',1321045),
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+(3800,'Dallas','USA',1188580);
+INSERT INTO City VALUES
+(3801,'San Antonio','USA',1144646),
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+INSERT INTO City VALUES
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+(4060,'Santa Monica','USA',91084),
+(4061,'Fall River','USA',90555),
+(4062,'Kenosha','USA',89447),
+(4063,'Elgin','USA',89408),
+(4064,'Odessa','USA',89293),
+(4065,'Carson','USA',89089),
+(4066,'Charleston','USA',89063),
+(4067,'Charlotte Amalie','VIR',13000),
+(4068,'Harare','ZWE',1410000),
+(4069,'Bulawayo','ZWE',621742),
+(4070,'Chitungwiza','ZWE',274912),
+(4071,'Mount Darwin','ZWE',164362),
+(4072,'Mutare','ZWE',131367),
+(4073,'Gweru','ZWE',128037),
+(4074,'Gaza','PSE',353632),
+(4075,'Khan Yunis','PSE',123175),
+(4076,'Hebron','PSE',119401),
+(4077,'Jabaliya','PSE',113901),
+(4078,'Nablus','PSE',100231),
+(4079,'Rafah','PSE',92020);
+
+# Table CountryLanguage
+
+INSERT INTO CountryLanguage VALUES 
+('AFG','Pashto',52.4),
+('NLD','Dutch',95.6),
+('ANT','Papiamento',86.2),
+('ALB','Albaniana',97.9),
+('DZA','Arabic',86.0),
+('ASM','Samoan',90.6),
+('AND','Spanish',44.6),
+('AGO','Ovimbundu',37.2),
+('AIA','English',0.0),
+('ATG','Creole English',95.7),
+('ARE','Arabic',42.0),
+('ARG','Spanish',96.8),
+('ARM','Armenian',93.4),
+('ABW','Papiamento',76.7),
+('AUS','English',81.2),
+('AZE','Azerbaijani',89.0),
+('BHS','Creole English',89.7),
+('BHR','Arabic',67.7),
+('BGD','Bengali',97.7),
+('BRB','Bajan',95.1),
+('BEL','Dutch',59.2),
+('BLZ','English',50.8),
+('BEN','Fon',39.8),
+('BMU','English',100.0),
+('BTN','Dzongkha',50.0),
+('BOL','Spanish',87.7),
+('BIH','Serbo-Croatian',99.2),
+('BWA','Tswana',75.5),
+('BRA','Portuguese',97.5),
+('GBR','English',97.3),
+('VGB','English',0.0),
+('BRN','Malay',45.5),
+('BGR','Bulgariana',83.2),
+('BFA','Mossi',50.2),
+('BDI','Kirundi',98.1),
+('CYM','English',0.0),
+('CHL','Spanish',89.7),
+('COK','Maori',0.0),
+('CRI','Spanish',97.5),
+('DJI','Somali',43.9),
+('DMA','Creole English',100.0),
+('DOM','Spanish',98.0),
+('ECU','Spanish',93.0),
+('EGY','Arabic',98.8),
+('SLV','Spanish',100.0),
+('ERI','Tigrinja',49.1),
+('ESP','Spanish',74.4),
+('ZAF','Zulu',22.7),
+('ETH','Oromo',31.0),
+('FLK','English',0.0),
+('FJI','Fijian',50.8),
+('PHL','Pilipino',29.3),
+('FRO','Faroese',100.0),
+('GAB','Fang',35.8),
+('GMB','Malinke',34.1),
+('GEO','Georgiana',71.7),
+('GHA','Akan',52.4),
+('GIB','English',88.9),
+('GRD','Creole English',100.0),
+('GRL','Greenlandic',87.5),
+('GLP','Creole French',95.0),
+('GUM','English',37.5),
+('GTM','Spanish',64.7),
+('GIN','Ful',38.6),
+('GNB','Crioulo',36.4),
+('GUY','Creole English',96.4),
+('HTI','Haiti Creole',100.0),
+('HND','Spanish',97.2),
+('HKG','Canton Chinese',88.7),
+('SJM','Norwegian',0.0),
+('IDN','Javanese',39.4),
+('IND','Hindi',39.9),
+('IRQ','Arabic',77.2),
+('IRN','Persian',45.7),
+('IRL','English',98.4),
+('ISL','Icelandic',95.7),
+('ISR','Hebrew',63.1),
+('ITA','Italian',94.1),
+('TMP','Sunda',0.0),
+('AUT','German',92.0),
+('JAM','Creole English',94.2),
+('JPN','Japanese',99.1),
+('YEM','Arabic',99.6),
+('JOR','Arabic',97.9),
+('CXR','Chinese',0.0),
+('YUG','Serbo-Croatian',75.2),
+('KHM','Khmer',88.6),
+('CMR','Fang',19.7),
+('CAN','English',60.4),
+('CPV','Crioulo',100.0),
+('KAZ','Kazakh',46.0),
+('KEN','Kikuyu',20.9),
+('CAF','Gbaya',23.8),
+('CHN','Chinese',92.0),
+('KGZ','Kirgiz',59.7),
+('KIR','Kiribati',98.9),
+('COL','Spanish',99.0),
+('COM','Comorian',75.0),
+('COG','Kongo',51.5),
+('COD','Luba',18.0),
+('CCK','Malay',0.0),
+('PRK','Korean',99.9),
+('KOR','Korean',99.9),
+('GRC','Greek',98.5),
+('HRV','Serbo-Croatian',95.9),
+('CUB','Spanish',100.0),
+('KWT','Arabic',78.1),
+('CYP','Greek',74.1),
+('LAO','Lao',67.2),
+('LVA','Latvian',55.1),
+('LSO','Sotho',85.0),
+('LBN','Arabic',93.0),
+('LBR','Kpelle',19.5),
+('LBY','Arabic',96.0),
+('LIE','German',89.0),
+('LTU','Lithuanian',81.6),
+('LUX','Luxembourgish',64.4),
+('ESH','Arabic',100.0),
+('MAC','Canton Chinese',85.6),
+('MDG','Malagasy',98.9),
+('MKD','Macedonian',66.5),
+('MWI','Chichewa',58.3),
+('MDV','Dhivehi',100.0),
+('MYS','Malay',58.4),
+('MLI','Bambara',31.8),
+('MLT','Maltese',95.8),
+('MAR','Arabic',65.0),
+('MHL','Marshallese',96.8),
+('MTQ','Creole French',96.6),
+('MRT','Hassaniya',81.7),
+('MUS','Creole French',70.6),
+('MYT','Mahoré',41.9),
+('MEX','Spanish',92.1),
+('FSM','Trukese',41.6),
+('MDA','Romanian',61.9),
+('MCO','French',41.9),
+('MNG','Mongolian',78.8),
+('MSR','English',0.0),
+('MOZ','Makua',27.8),
+('MMR','Burmese',69.0),
+('NAM','Ovambo',50.7),
+('NRU','Nauru',57.5),
+('NPL','Nepali',50.4),
+('NIC','Spanish',97.6),
+('NER','Hausa',53.1),
+('NGA','Joruba',21.4),
+('NIU','Niue',0.0),
+('NFK','English',0.0),
+('NOR','Norwegian',96.6),
+('CIV','Akan',30.0),
+('OMN','Arabic',76.7),
+('PAK','Punjabi',48.2),
+('PLW','Palau',82.2),
+('PAN','Spanish',76.8),
+('PNG','Papuan Languages',78.1),
+('PRY','Spanish',55.1),
+('PER','Spanish',79.8),
+('PCN','Pitcairnese',0.0),
+('MNP','Philippene Languages',34.1),
+('PRT','Portuguese',99.0),
+('PRI','Spanish',51.3),
+('POL','Polish',97.6),
+('GNQ','Fang',84.8),
+('QAT','Arabic',40.7),
+('FRA','French',93.6),
+('GUF','Creole French',94.3),
+('PYF','Tahitian',46.4),
+('REU','Creole French',91.5),
+('ROM','Romanian',90.7),
+('RWA','Rwanda',100.0),
+('SWE','Swedish',89.5),
+('SHN','English',0.0),
+('KNA','Creole English',100.0),
+('LCA','Creole French',80.0),
+('VCT','Creole English',99.1),
+('SPM','French',0.0),
+('DEU','German',91.3),
+('SLB','Malenasian Languages',85.6),
+('ZMB','Bemba',29.7),
+('WSM','Samoan-English',52.0),
+('SMR','Italian',100.0),
+('STP','Crioulo',86.3),
+('SAU','Arabic',95.0),
+('SEN','Wolof',48.1),
+('SYC','Seselwa',91.3),
+('SLE','Mende',34.8),
+('SGP','Chinese',77.1),
+('SVK','Slovak',85.6),
+('SVN','Slovene',87.9),
+('SOM','Somali',98.3),
+('LKA','Singali',60.3),
+('SDN','Arabic',49.4),
+('FIN','Finnish',92.7),
+('SUR','Sranantonga',81.0),
+('SWZ','Swazi',89.9),
+('CHE','German',63.6),
+('SYR','Arabic',90.0),
+('TJK','Tadzhik',62.2),
+('TWN','Min',66.7),
+('TZA','Nyamwesi',21.1);
+INSERT INTO CountryLanguage VALUES 
+('DNK','Danish',93.5),
+('THA','Thai',52.6),
+('TGO','Ewe',23.2),
+('TKL','Tokelau',0.0),
+('TON','Tongan',98.3),
+('TTO','English',93.5),
+('TCD','Sara',27.7),
+('CZE','Czech',81.2),
+('TUN','Arabic',69.9),
+('TUR','Turkish',87.6),
+('TKM','Turkmenian',76.7),
+('TCA','English',0.0),
+('TUV','Tuvalu',92.5),
+('UGA','Ganda',18.1),
+('UKR','Ukrainian',64.7),
+('HUN','Hungarian',98.5),
+('URY','Spanish',95.7),
+('NCL','Malenasian Languages',45.4),
+('NZL','English',87.0),
+('UZB','Uzbek',72.6),
+('BLR','Belorussian',65.6),
+('WLF','Wallis',0.0),
+('VUT','Bislama',56.6),
+('VAT','Italian',0.0),
+('VEN','Spanish',96.9),
+('RUS','Russian',86.6),
+('VNM','Vietnamese',86.8),
+('EST','Estonian',65.3),
+('USA','English',86.2),
+('VIR','English',81.7),
+('UMI','English',0.0),
+('ZWE','Shona',72.1),
+('PSE','Arabic',95.9),
+('AFG','Dari',32.1),
+('NLD','Fries',3.7),
+('ANT','English',7.8),
+('ALB','Greek',1.8),
+('DZA','Berberi',14.0),
+('ASM','English',3.1),
+('AND','Catalan',32.3),
+('AGO','Mbundu',21.6),
+('ATG','English',0.0),
+('ARE','Hindi',0.0),
+('ARG','Italian',1.7),
+('ARM','Azerbaijani',2.6),
+('ABW','English',9.5),
+('AUS','Italian',2.2),
+('AZE','Russian',3.0),
+('BHS','Creole French',10.3),
+('BHR','English',0.0),
+('BGD','Chakma',0.4),
+('BRB','English',0.0),
+('BEL','French',32.6),
+('BLZ','Spanish',31.6),
+('BEN','Joruba',12.2),
+('BTN','Nepali',34.8),
+('BOL','Ketua',8.1),
+('BWA','Shona',12.3),
+('BRA','German',0.5),
+('GBR','Kymri',0.9),
+('BRN','Malay-English',28.8),
+('BGR','Turkish',9.4),
+('BFA','Ful',9.7),
+('BDI','French',0.0),
+('CHL','Araucan',9.6),
+('COK','English',0.0),
+('CRI','Creole English',2.0),
+('DJI','Afar',34.8),
+('DMA','Creole French',0.0),
+('DOM','Creole French',2.0),
+('ECU','Ketua',7.0),
+('EGY','Sinaberberi',0.0),
+('SLV','Nahua',0.0),
+('ERI','Tigre',31.7),
+('ESP','Catalan',16.9),
+('ZAF','Xhosa',17.7),
+('ETH','Amhara',30.0),
+('FJI','Hindi',43.7),
+('PHL','Cebuano',23.3),
+('FRO','Danish',0.0),
+('GAB','Punu-sira-nzebi',17.1),
+('GMB','Ful',16.2),
+('GEO','Russian',8.8),
+('GHA','Mossi',15.8),
+('GIB','Arabic',7.4),
+('GRL','Danish',12.5),
+('GLP','French',0.0),
+('GUM','Chamorro',29.6),
+('GTM','Quiché',10.1),
+('GIN','Malinke',23.2),
+('GNB','Ful',16.6),
+('GUY','Caribbean',2.2),
+('HTI','French',0.0),
+('HND','Garifuna',1.3),
+('HKG','English',2.2),
+('SJM','Russian',0.0),
+('IDN','Sunda',15.8),
+('IND','Bengali',8.2),
+('IRQ','Kurdish',19.0),
+('IRN','Azerbaijani',16.8),
+('IRL','Irish',1.6),
+('ISL','English',0.0),
+('ISR','Arabic',18.0),
+('ITA','Sardinian',2.7),
+('TMP','Portuguese',0.0),
+('AUT','Serbo-Croatian',2.2),
+('JAM','Hindi',1.9),
+('JPN','Korean',0.5),
+('YEM','Soqutri',0.0),
+('JOR','Circassian',1.0),
+('CXR','English',0.0),
+('YUG','Albaniana',16.5),
+('KHM','Vietnamese',5.5),
+('CMR','Bamileke-bamum',18.6),
+('CAN','French',23.4),
+('CPV','Portuguese',0.0),
+('KAZ','Russian',34.7),
+('KEN','Luhya',13.8),
+('CAF','Banda',23.5),
+('CHN','Zhuang',1.4),
+('KGZ','Russian',16.2),
+('KIR','Tuvalu',0.5),
+('COL','Chibcha',0.4),
+('COM','Comorian-French',12.9),
+('COG','Teke',17.3),
+('COD','Kongo',16.0),
+('CCK','English',0.0),
+('PRK','Chinese',0.1),
+('KOR','Chinese',0.1),
+('GRC','Turkish',0.9),
+('HRV','Slovene',0.0),
+('KWT','English',0.0),
+('CYP','Turkish',22.4),
+('LAO','Mon-khmer',16.5),
+('LVA','Russian',32.5),
+('LSO','Zulu',15.0),
+('LBN','Armenian',5.9),
+('LBR','Bassa',13.7),
+('LBY','Berberi',1.0),
+('LIE','Italian',2.5),
+('LTU','Russian',8.1),
+('LUX','Portuguese',13.0),
+('MAC','Portuguese',2.3),
+('MDG','French',0.0),
+('MKD','Albaniana',22.9),
+('MWI','Lomwe',18.4),
+('MDV','English',0.0),
+('MYS','Chinese',9.0),
+('MLI','Ful',13.9),
+('MLT','English',2.1),
+('MAR','Berberi',33.0),
+('MHL','English',0.0),
+('MTQ','French',0.0),
+('MRT','Wolof',6.6),
+('MUS','Bhojpuri',21.1),
+('MYT','French',20.3),
+('MEX','Náhuatl',1.8),
+('FSM','Pohnpei',23.8),
+('MDA','Russian',23.2),
+('MCO','Monegasque',16.1),
+('MNG','Kazakh',5.9),
+('MOZ','Tsonga',12.4),
+('MMR','Shan',8.5),
+('NAM','Nama',12.4),
+('NRU','Kiribati',17.9),
+('NPL','Maithili',11.9),
+('NIC','Miskito',1.6),
+('NER','Songhai-zerma',21.2),
+('NGA','Hausa',21.1),
+('NIU','English',0.0),
+('NOR','English',0.5),
+('CIV','Gur',11.7),
+('OMN','Balochi',0.0),
+('PAK','Pashto',13.1),
+('PLW','Philippene Languages',9.2),
+('PAN','Creole English',14.0),
+('PNG','Malenasian Languages',20.0),
+('PRY','Guaraní',40.1),
+('PER','Ketua',16.4),
+('MNP','Chamorro',30.0),
+('PRI','English',47.4),
+('POL','German',1.3),
+('GNQ','Bubi',8.7),
+('QAT','Urdu',0.0),
+('FRA','Arabic',2.5),
+('GUF','Indian Languages',1.9),
+('PYF','French',40.8),
+('REU','Chinese',2.8),
+('ROM','Hungarian',7.2),
+('RWA','French',0.0),
+('SWE','Finnish',2.4),
+('KNA','English',0.0),
+('LCA','English',20.0),
+('VCT','English',0.0),
+('DEU','Turkish',2.6),
+('SLB','Papuan Languages',8.6),
+('ZMB','Tongan',11.0),
+('WSM','Samoan',47.5),
+('STP','French',0.7),
+('SEN','Ful',21.7);
+INSERT INTO CountryLanguage VALUES 
+('SYC','English',3.8),
+('SLE','Temne',31.8),
+('SGP','Malay',14.1),
+('SVK','Hungarian',10.5),
+('SVN','Serbo-Croatian',7.9),
+('SOM','Arabic',0.0),
+('LKA','Tamil',19.6),
+('SDN','Dinka',11.5),
+('FIN','Swedish',5.7),
+('SUR','Hindi',0.0),
+('SWZ','Zulu',2.0),
+('CHE','French',19.2),
+('SYR','Kurdish',9.0),
+('TJK','Uzbek',23.2),
+('TWN','Mandarin Chinese',20.1),
+('TZA','Swahili',8.8),
+('DNK','Turkish',0.8),
+('THA','Lao',26.9),
+('TGO','Kabyé',13.8),
+('TKL','English',0.0),
+('TON','English',0.0),
+('TTO','Hindi',3.4),
+('TCD','Arabic',12.3),
+('CZE','Moravian',12.9),
+('TUN','Arabic-French',26.3),
+('TUR','Kurdish',10.6),
+('TKM','Uzbek',9.2),
+('TUV','Kiribati',7.5),
+('UGA','Nkole',10.7),
+('UKR','Russian',32.9),
+('HUN','Romani',0.5),
+('NCL','French',34.3),
+('NZL','Maori',4.3),
+('UZB','Russian',10.9),
+('BLR','Russian',32.0),
+('WLF','Futuna',0.0),
+('VUT','English',28.3),
+('VEN','Goajiro',0.4),
+('RUS','Tatar',3.2),
+('VNM','Tho',1.8),
+('EST','Russian',27.8),
+('USA','Spanish',7.5),
+('VIR','Spanish',13.3),
+('ZWE','Ndebele',16.2),
+('PSE','Hebrew',4.1),
+('AFG','Uzbek',8.8),
+('NLD','Arabic',0.9),
+('ANT','Dutch',0.0),
+('ALB','Macedonian',0.1),
+('ASM','Tongan',3.1),
+('AND','Portuguese',10.8),
+('AGO','Kongo',13.2),
+('ARG','Indian Languages',0.3),
+('ABW','Spanish',7.4),
+('AUS','Greek',1.6),
+('AZE','Lezgian',2.3),
+('BGD','Marma',0.2),
+('BEL','Italian',2.4),
+('BLZ','Maya Languages',9.6),
+('BEN','Adja',11.1),
+('BTN','Asami',15.2),
+('BOL','Aimará',3.2),
+('BWA','San',3.5),
+('BRA','Italian',0.4),
+('GBR','Gaeli',0.1),
+('BRN','Chinese',9.3),
+('BGR','Romani',3.7),
+('BFA','Gurma',5.7),
+('BDI','Swahili',0.0),
+('CHL','Aimará',0.5),
+('CRI','Chibcha',0.3),
+('DJI','Arabic',10.6),
+('ERI','Afar',4.3),
+('ESP','Galecian',6.4),
+('ZAF','Afrikaans',14.3),
+('ETH','Tigrinja',7.2),
+('PHL','Ilocano',9.3),
+('GAB','Mpongwe',14.6),
+('GMB','Wolof',12.6),
+('GEO','Armenian',6.8),
+('GHA','Ewe',11.9),
+('GUM','Philippene Languages',19.7),
+('GTM','Cakchiquel',8.9),
+('GIN','Susu',11.0),
+('GNB','Balante',14.6),
+('GUY','Arawakan',1.4),
+('HND','Creole English',0.2),
+('HKG','Fukien',1.9),
+('IDN','Malay',12.1),
+('IND','Telugu',7.8),
+('IRQ','Azerbaijani',1.7),
+('IRN','Kurdish',9.1),
+('ISR','Russian',8.9),
+('ITA','Friuli',1.2),
+('AUT','Turkish',1.5),
+('JPN','Chinese',0.2),
+('JOR','Armenian',1.0),
+('YUG','Hungarian',3.4),
+('KHM','Chinese',3.1),
+('CMR','Duala',10.9),
+('CAN','Chinese',2.5),
+('KAZ','Ukrainian',5.0),
+('KEN','Luo',12.8),
+('CAF','Mandjia',14.8),
+('CHN','Mantu',0.9),
+('KGZ','Uzbek',14.1),
+('COL','Creole English',0.1),
+('COM','Comorian-madagassi',5.5),
+('COG','Mboshi',11.4),
+('COD','Mongo',13.5),
+('LAO','Thai',7.8),
+('LVA','Belorussian',4.1),
+('LSO','English',0.0),
+('LBN','French',0.0),
+('LBR','Grebo',8.9),
+('LIE','Turkish',2.5),
+('LTU','Polish',7.0),
+('LUX','Italian',4.6),
+('MAC','Mandarin Chinese',1.2),
+('MKD','Turkish',4.0),
+('MWI','Yao',13.2),
+('MYS','Tamil',3.9),
+('MLI','Senufo and Minianka',12.0),
+('MRT','Tukulor',5.4),
+('MUS','French',3.4),
+('MYT','Malagasy',16.1),
+('MEX','Yucatec',1.1),
+('FSM','Mortlock',7.6),
+('MDA','Ukrainian',8.6),
+('MCO','Italian',16.1),
+('MNG','Dorbet',2.7),
+('MOZ','Sena',9.4),
+('MMR','Karen',6.2),
+('NAM','Kavango',9.7),
+('NRU','Chinese',8.5),
+('NPL','Bhojpuri',7.5),
+('NIC','Creole English',0.5),
+('NER','Tamashek',10.4),
+('NGA','Ibo',18.1),
+('NOR','Danish',0.4),
+('CIV','Malinke',11.4),
+('PAK','Sindhi',11.8),
+('PLW','English',3.2),
+('PAN','Guaymí',5.3),
+('PRY','Portuguese',3.2),
+('PER','Aimará',2.3),
+('MNP','Chinese',7.1),
+('POL','Ukrainian',0.6),
+('FRA','Portuguese',1.2),
+('PYF','Chinese',2.9),
+('REU','Comorian',2.8),
+('ROM','Romani',0.7),
+('SWE','Southern Slavic Languages',1.3),
+('DEU','Southern Slavic Languages',1.4),
+('SLB','Polynesian Languages',3.8),
+('ZMB','Nyanja',7.8),
+('WSM','English',0.6),
+('SEN','Serer',12.5),
+('SYC','French',1.3),
+('SLE','Limba',8.3),
+('SGP','Tamil',7.4),
+('SVK','Romani',1.7),
+('SVN','Hungarian',0.5),
+('LKA','Mixed Languages',19.6),
+('SDN','Nubian Languages',8.1),
+('FIN','Russian',0.4),
+('CHE','Italian',7.7),
+('TJK','Russian',9.7),
+('TWN','Hakka',11.0),
+('TZA','Hehet',6.9),
+('DNK','Arabic',0.7),
+('THA','Chinese',12.1),
+('TGO','Watyi',10.3),
+('TTO','Creole English',2.9),
+('TCD','Mayo-kebbi',11.5),
+('CZE','Slovak',3.1),
+('TUN','Arabic-French-English',3.2),
+('TUR','Arabic',1.4),
+('TKM','Russian',6.7),
+('TUV','English',0.0),
+('UGA','Kiga',8.3),
+('UKR','Romanian',0.7),
+('HUN','German',0.4),
+('NCL','Polynesian Languages',11.6),
+('UZB','Tadzhik',4.4),
+('BLR','Ukrainian',1.3),
+('VUT','French',14.2),
+('VEN','Warrau',0.1),
+('RUS','Ukrainian',1.3),
+('VNM','Thai',1.6),
+('EST','Ukrainian',2.8),
+('USA','French',0.7),
+('VIR','French',2.5),
+('ZWE','English',2.2),
+('AFG','Turkmenian',1.9),
+('NLD','Turkish',0.8),
+('AND','French',6.2),
+('AGO','Luimbe-nganguela',5.4),
+('ABW','Dutch',5.3),
+('AUS','Canton Chinese',1.1);
+INSERT INTO CountryLanguage VALUES 
+('AZE','Armenian',2.0),
+('BGD','Garo',0.1),
+('BEL','Arabic',1.6),
+('BLZ','Garifuna',6.8),
+('BEN','Aizo',8.7),
+('BOL','Guaraní',0.1),
+('BWA','Khoekhoe',2.5),
+('BRA','Japanese',0.4),
+('BRN','English',3.1),
+('BGR','Macedonian',2.6),
+('BFA','Busansi',3.5),
+('CHL','Rapa nui',0.2),
+('CRI','Chinese',0.2),
+('ERI','Hadareb',3.8),
+('ESP','Basque',1.6),
+('ZAF','Northsotho',9.1),
+('ETH','Gurage',4.7),
+('PHL','Hiligaynon',9.1),
+('GAB','Mbete',13.8),
+('GMB','Diola',9.2),
+('GEO','Azerbaijani',5.5),
+('GHA','Ga-adangme',7.8),
+('GUM','Korean',3.3),
+('GTM','Kekchí',4.9),
+('GIN','Kissi',6.0),
+('GNB','Portuguese',8.1),
+('HND','Miskito',0.2),
+('HKG','Hakka',1.6),
+('IDN','Madura',4.3),
+('IND','Marathi',7.4),
+('IRQ','Assyrian',0.8),
+('IRN','Gilaki',5.3),
+('ITA','French',0.5),
+('AUT','Hungarian',0.4),
+('JPN','English',0.1),
+('YUG','Romani',1.4),
+('KHM','Tam',2.4),
+('CMR','Ful',9.6),
+('CAN','Italian',1.7),
+('KAZ','German',3.1),
+('KEN','Kamba',11.2),
+('CAF','Ngbaka',7.5),
+('CHN','Hui',0.8),
+('KGZ','Ukrainian',1.7),
+('COL','Arawakan',0.1),
+('COM','Comorian-Arabic',1.6),
+('COG','Mbete',4.8),
+('COD','Rwanda',10.3),
+('LAO','Lao-Soung',5.2),
+('LVA','Ukrainian',2.9),
+('LBR','Gio',7.9),
+('LTU','Belorussian',1.4),
+('LUX','French',4.2),
+('MAC','English',0.5),
+('MKD','Romani',2.3),
+('MWI','Ngoni',6.7),
+('MYS','Iban',2.8),
+('MLI','Soninke',8.7),
+('MRT','Soninke',2.7),
+('MUS','Hindi',1.2),
+('MEX','Zapotec',0.6),
+('FSM','Kosrean',7.3),
+('MDA','Gagauzi',3.2),
+('MCO','English',6.5),
+('MNG','Bajad',1.9),
+('MOZ','Lomwe',7.8),
+('MMR','Rakhine',4.5),
+('NAM','Afrikaans',9.5),
+('NRU','Tuvalu',8.5),
+('NPL','Tharu',5.4),
+('NIC','Sumo',0.2),
+('NER','Ful',9.7),
+('NGA','Ful',11.3),
+('NOR','Swedish',0.3),
+('CIV','Kru',10.5),
+('PAK','Saraiki',9.8),
+('PLW','Chinese',1.6),
+('PAN','Cuna',2.0),
+('PRY','German',0.9),
+('MNP','Korean',6.5),
+('POL','Belorussian',0.5),
+('FRA','Italian',0.4),
+('REU','Malagasy',1.4),
+('ROM','German',0.4),
+('SWE','Arabic',0.8),
+('DEU','Italian',0.7),
+('ZMB','Lozi',6.4),
+('SEN','Diola',5.0),
+('SLE','Kono-vai',5.1),
+('SVK','Czech and Moravian',1.1),
+('SDN','Beja',6.4),
+('FIN','Estonian',0.2),
+('CHE','Romansh',0.6),
+('TWN','Ami',0.6),
+('TZA','Haya',5.9),
+('DNK','German',0.5),
+('THA','Malay',3.6),
+('TGO','Kotokoli',5.7),
+('TCD','Kanem-bornu',9.0),
+('CZE','Polish',0.6),
+('TKM','Kazakh',2.0),
+('UGA','Soga',8.2),
+('UKR','Bulgariana',0.3),
+('HUN','Serbo-Croatian',0.2),
+('UZB','Kazakh',3.8),
+('BLR','Polish',0.6),
+('RUS','Chuvash',0.9),
+('VNM','Muong',1.5),
+('EST','Belorussian',1.4),
+('USA','German',0.7),
+('ZWE','Nyanja',2.2),
+('AFG','Balochi',0.9),
+('AGO','Nyaneka-nkhumbi',5.4),
+('AUS','Arabic',1.0),
+('BGD','Khasi',0.1),
+('BEL','German',1.0),
+('BEN','Bariba',8.7),
+('BWA','Ndebele',1.3),
+('BRA','Indian Languages',0.2),
+('BFA','Dagara',3.1),
+('ERI','Bilin',3.0),
+('ZAF','English',8.5),
+('ETH','Somali',4.1),
+('PHL','Bicol',5.7),
+('GMB','Soninke',7.6),
+('GEO','Osseetti',2.4),
+('GHA','Gurma',3.3),
+('GUM','Japanese',2.0),
+('GTM','Mam',2.7),
+('GIN','Kpelle',4.6),
+('GNB','Malinke',6.9),
+('HKG','Chiu chau',1.4),
+('IDN','Minangkabau',2.4),
+('IND','Tamil',6.3),
+('IRQ','Persian',0.8),
+('IRN','Luri',4.3),
+('ITA','German',0.5),
+('AUT','Slovene',0.4),
+('JPN','Philippene Languages',0.1),
+('YUG','Slovak',0.7),
+('CMR','Tikar',7.4),
+('CAN','German',1.6),
+('KAZ','Uzbek',2.3),
+('KEN','Kalenjin',10.8),
+('CAF','Sara',6.4),
+('CHN','Miao',0.7),
+('KGZ','Tatar',1.3),
+('COL','Caribbean',0.1),
+('COM','Comorian-Swahili',0.5),
+('COG','Punu',2.9),
+('COD','Zande',6.1),
+('LVA','Polish',2.1),
+('LBR','Kru',7.2),
+('LTU','Ukrainian',1.1),
+('LUX','German',2.3),
+('MKD','Serbo-Croatian',2.0),
+('MYS','English',1.6),
+('MLI','Tamashek',7.3),
+('MRT','Ful',1.2),
+('MUS','Tamil',0.8),
+('MEX','Mixtec',0.6),
+('FSM','Yap',5.8),
+('MDA','Bulgariana',1.6),
+('MNG','Buryat',1.7),
+('MOZ','Shona',6.5),
+('MMR','Mon',2.4),
+('NAM','Herero',8.0),
+('NRU','English',7.5),
+('NPL','Tamang',4.9),
+('NER','Kanuri',4.4),
+('NGA','Ibibio',5.6),
+('NOR','Saame',0.0),
+('CIV','[South]Mande',7.7),
+('PAK','Urdu',7.6),
+('PAN','Embera',0.6),
+('MNP','English',4.8),
+('FRA','Spanish',0.4),
+('REU','Tamil',0.0),
+('ROM','Ukrainian',0.3),
+('SWE','Spanish',0.6),
+('DEU','Greek',0.4),
+('ZMB','Chewa',5.7),
+('SEN','Malinke',3.8),
+('SLE','Bullom-sherbro',3.8),
+('SVK','Ukrainian and Russian',0.6),
+('SDN','Nuer',4.9),
+('FIN','Saame',0.0),
+('TWN','Atayal',0.4),
+('TZA','Makonde',5.9),
+('DNK','English',0.3),
+('THA','Khmer',1.3),
+('TGO','Ane',5.7),
+('TCD','Ouaddai',8.7),
+('CZE','German',0.5),
+('UGA','Teso',6.0),
+('UKR','Hungarian',0.3),
+('HUN','Romanian',0.1),
+('UZB','Karakalpak',2.0),
+('RUS','Bashkir',0.7),
+('VNM','Chinese',1.4);
+INSERT INTO CountryLanguage VALUES 
+('EST','Finnish',0.7),
+('USA','Italian',0.6),
+('AGO','Chokwe',4.2),
+('AUS','Vietnamese',0.8),
+('BGD','Santhali',0.1),
+('BEL','Turkish',0.9),
+('BEN','Somba',6.7),
+('BFA','Dyula',2.6),
+('ERI','Saho',3.0),
+('ZAF','Tswana',8.1),
+('ETH','Sidamo',3.2),
+('PHL','Waray-waray',3.8),
+('GEO','Abhyasi',1.7),
+('GHA','Joruba',1.3),
+('GIN','Yalunka',2.9),
+('GNB','Mandyako',4.9),
+('IDN','Batakki',2.2),
+('IND','Urdu',5.1),
+('IRN','Mazandarani',3.6),
+('ITA','Albaniana',0.2),
+('AUT','Polish',0.2),
+('JPN','Ainu',0.0),
+('YUG','Macedonian',0.5),
+('CMR','Mandara',5.7),
+('CAN','Polish',0.7),
+('KAZ','Tatar',2.0),
+('KEN','Gusii',6.1),
+('CAF','Mbum',6.4),
+('CHN','Uighur',0.6),
+('KGZ','Kazakh',0.8),
+('COG','Sango',2.6),
+('COD','Ngala and Bangi',5.8),
+('LVA','Lithuanian',1.2),
+('LBR','Mano',7.2),
+('MYS','Dusun',1.1),
+('MLI','Songhai',6.9),
+('MRT','Zenaga',1.2),
+('MUS','Marathi',0.7),
+('MEX','Otomí',0.4),
+('FSM','Wolea',3.7),
+('MNG','Dariganga',1.4),
+('MOZ','Tswa',6.0),
+('MMR','Chin',2.2),
+('NAM','Caprivi',4.7),
+('NPL','Newari',3.7),
+('NGA','Kanuri',4.1),
+('PAK','Balochi',3.0),
+('PAN','Arabic',0.6),
+('MNP','Carolinian',4.8),
+('FRA','Turkish',0.4),
+('ROM','Serbo-Croatian',0.1),
+('SWE','Norwegian',0.5),
+('DEU','Polish',0.3),
+('ZMB','Nsenga',4.3),
+('SEN','Soninke',1.3),
+('SLE','Ful',3.8),
+('SDN','Zande',2.7),
+('TWN','Paiwan',0.3),
+('TZA','Nyakusa',5.4),
+('DNK','Swedish',0.3),
+('THA','Kuy',1.1),
+('TGO','Moba',5.4),
+('TCD','Hadjarai',6.7),
+('CZE','Silesiana',0.4),
+('UGA','Lango',5.9),
+('UKR','Belorussian',0.3),
+('HUN','Slovak',0.1),
+('UZB','Tatar',1.8),
+('RUS','Chechen',0.6),
+('VNM','Khmer',1.4),
+('USA','Chinese',0.6),
+('AGO','Luvale',3.6),
+('AUS','Serbo-Croatian',0.6),
+('BGD','Tripuri',0.1),
+('BEN','Ful',5.6),
+('ZAF','Southsotho',7.6),
+('ETH','Walaita',2.8),
+('PHL','Pampango',3.0),
+('GIN','Loma',2.3),
+('IDN','Bugi',2.2),
+('IND','Gujarati',4.8),
+('IRN','Balochi',2.3),
+('ITA','Slovene',0.2),
+('AUT','Czech',0.2),
+('CMR','Maka',4.9),
+('CAN','Spanish',0.7),
+('KEN','Meru',5.5),
+('CHN','Yi',0.6),
+('KGZ','Tadzhik',0.8),
+('COD','Rundi',3.8),
+('LBR','Loma',5.8),
+('MOZ','Chuabo',5.7),
+('MMR','Kachin',1.4),
+('NAM','San',1.9),
+('NPL','Hindi',3.0),
+('NGA','Edo',3.3),
+('PAK','Hindko',2.4),
+('SLE','Kuranko',3.4),
+('SDN','Bari',2.5),
+('TZA','Chaga and Pare',4.9),
+('DNK','Norwegian',0.3),
+('TGO','Naudemba',4.1),
+('TCD','Tandjile',6.5),
+('CZE','Romani',0.3),
+('UGA','Lugbara',4.7),
+('UKR','Polish',0.1),
+('RUS','Mordva',0.5),
+('VNM','Nung',1.1),
+('USA','Tagalog',0.4),
+('AGO','Ambo',2.4),
+('AUS','German',0.6),
+('ZAF','Tsonga',4.3),
+('PHL','Pangasinan',1.8),
+('IDN','Banja',1.8),
+('IND','Kannada',3.9),
+('IRN','Arabic',2.2),
+('ITA','Romani',0.2),
+('AUT','Romanian',0.2),
+('CMR','Masana',3.9),
+('CAN','Portuguese',0.7),
+('KEN','Nyika',4.8),
+('CHN','Tujia',0.5),
+('COD','Teke',2.7),
+('LBR','Malinke',5.1),
+('MOZ','Ronga',3.7),
+('MMR','Kayah',0.4),
+('NAM','German',0.9),
+('NGA','Tiv',2.3),
+('PAK','Brahui',1.2),
+('SLE','Yalunka',3.4),
+('SDN','Fur',2.1),
+('TZA','Luguru',4.9),
+('TGO','Gurma',3.4),
+('TCD','Gorane',6.2),
+('CZE','Hungarian',0.2),
+('UGA','Gisu',4.5),
+('RUS','Kazakh',0.4),
+('VNM','Miao',0.9),
+('USA','Polish',0.3),
+('AGO','Luchazi',2.4),
+('ZAF','Swazi',2.5),
+('PHL','Maguindanao',1.4),
+('IDN','Bali',1.7),
+('IND','Malajalam',3.6),
+('IRN','Bakhtyari',1.7),
+('CAN','Punjabi',0.7),
+('KEN','Masai',1.6),
+('CHN','Mongolian',0.4),
+('COD','Boa',2.3),
+('MOZ','Marendje',3.5),
+('NGA','Ijo',1.8),
+('SDN','Chilluk',1.7),
+('TZA','Shambala',4.3),
+('UGA','Acholi',4.4),
+('RUS','Avarian',0.4),
+('VNM','Man',0.7),
+('USA','Korean',0.3),
+('ZAF','Venda',2.2),
+('PHL','Maranao',1.3),
+('IND','Orija',3.3),
+('IRN','Turkmenian',1.6),
+('CAN','Ukrainian',0.6),
+('KEN','Turkana',1.4),
+('CHN','Tibetan',0.4),
+('COD','Chokwe',1.8),
+('MOZ','Nyanja',3.3),
+('NGA','Bura',1.6),
+('SDN','Lotuko',1.5),
+('TZA','Gogo',3.9),
+('UGA','Rwanda',3.2),
+('RUS','Mari',0.4),
+('USA','Vietnamese',0.2),
+('ZAF','Ndebele',1.5),
+('IND','Punjabi',2.8),
+('CAN','Dutch',0.5),
+('CHN','Puyi',0.2),
+('TZA','Ha',3.5),
+('RUS','Udmur',0.3),
+('USA','Japanese',0.2),
+('IND','Asami',1.5),
+('CAN','Eskimo Languages',0.1),
+('CHN','Dong',0.2),
+('RUS','Belorussian',0.3),
+('USA','Portuguese',0.2);
+
+ANALYZE TABLE Country, City, CountryLanguage;

=== added file 'mysql-test/include/world_schema.inc'
--- a/mysql-test/include/world_schema.inc	1970-01-01 00:00:00 +0000
+++ b/mysql-test/include/world_schema.inc	2009-10-12 04:59:34 +0000
@@ -0,0 +1,25 @@
+CREATE TABLE Country (
+  Code char(3) NOT NULL default '',
+  Name char(52) NOT NULL default '',
+  SurfaceArea float(10,2) NOT NULL default '0.00',
+  Population int(11) NOT NULL default '0',
+  Capital int(11) default NULL,
+  PRIMARY KEY  (Code),
+  UNIQUE INDEX (Name)
+);
+CREATE TABLE City (
+  ID int(11) NOT NULL auto_increment,
+  Name char(35) NOT NULL default '',
+  Country char(3) NOT NULL default '',
+  Population int(11) NOT NULL default '0',
+  PRIMARY KEY  (ID),
+  INDEX (Population),
+  INDEX (Country) 
+);
+CREATE TABLE CountryLanguage (
+  Country char(3) NOT NULL default '',
+  Language char(30) NOT NULL default '',
+  Percentage float(3,1) NOT NULL default '0.0',
+  PRIMARY KEY  (Country, Language),
+  INDEX (Percentage)
+);

=== modified file 'mysql-test/r/index_merge_myisam.result'
--- a/mysql-test/r/index_merge_myisam.result	2009-06-15 14:36:51 +0000
+++ b/mysql-test/r/index_merge_myisam.result	2009-10-12 04:59:34 +0000
@@ -115,11 +115,11 @@ id	select_type	table	type	possible_keys	
 explain select * from t0 where
 (key1 < 3 or key2 < 3) and (key3 < 100);
 id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
-1	SIMPLE	t0	range	i1,i2,i3	i3	4	NULL	95	Using where
+1	SIMPLE	t0	index_merge	i1,i2,i3	i1,i2	4,4	NULL	6	Using sort_union(i1,i2); Using where
 explain select * from t0 where
 (key1 < 3 or key2 < 3) and (key3 < 1000);
 id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
-1	SIMPLE	t0	ALL	i1,i2,i3	NULL	NULL	NULL	1024	Using where
+1	SIMPLE	t0	index_merge	i1,i2,i3	i1,i2	4,4	NULL	6	Using sort_union(i1,i2); Using where
 explain select * from t0 where
 ((key1 < 4 or key2 < 4) and (key2 <5 or key3 < 4))
 or
@@ -259,7 +259,7 @@ explain
 select * from t0,t1 where (t0.key1=t1.key1) and
 (t0.key1=3 or t0.key2=4) and t1.key1<200;
 id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
-1	SIMPLE	t0	ALL	i1,i2	NULL	NULL	NULL	1024	Using where
+1	SIMPLE	t0	index_merge	i1,i2	i1,i2	4,4	NULL	2	Using union(i1,i2); Using where
 1	SIMPLE	t1	ref	i1	i1	4	test.t0.key1	1	
 explain
 select * from t0,t1 where (t0.key1=t1.key1) and

=== added file 'mysql-test/r/range_vs_index_merge.result'
--- a/mysql-test/r/range_vs_index_merge.result	1970-01-01 00:00:00 +0000
+++ b/mysql-test/r/range_vs_index_merge.result	2009-10-12 04:59:34 +0000
@@ -0,0 +1,1328 @@
+DROP TABLE IF EXISTS t1,t2,t3,t4;
+DROP DATABASE IF EXISTS world;
+set names utf8;
+CREATE DATABASE world;
+use world;
+CREATE TABLE Country (
+Code char(3) NOT NULL default '',
+Name char(52) NOT NULL default '',
+SurfaceArea float(10,2) NOT NULL default '0.00',
+Population int(11) NOT NULL default '0',
+Capital int(11) default NULL,
+PRIMARY KEY  (Code),
+UNIQUE INDEX (Name)
+);
+CREATE TABLE City (
+ID int(11) NOT NULL auto_increment,
+Name char(35) NOT NULL default '',
+Country char(3) NOT NULL default '',
+Population int(11) NOT NULL default '0',
+PRIMARY KEY  (ID),
+INDEX (Population),
+INDEX (Country) 
+);
+CREATE TABLE CountryLanguage (
+Country char(3) NOT NULL default '',
+Language char(30) NOT NULL default '',
+Percentage float(3,1) NOT NULL default '0.0',
+PRIMARY KEY  (Country, Language),
+INDEX (Percentage)
+);
+SELECT COUNT(*) FROM Country;
+COUNT(*)
+239
+SELECT COUNT(*) FROM City;
+COUNT(*)
+4079
+SELECT COUNT(*) FROM CountryLanguage;
+COUNT(*)
+984
+CREATE INDEX Name ON City(Name);
+EXPLAIN
+SELECT * FROM City
+WHERE (Population >= 100000 OR Name LIKE 'P%' OR Population < 100000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ALL	Population,Name	NULL	NULL	NULL	4079	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE (Population >= 100000 OR Name LIKE 'P%') AND Country='CAN' OR
+(Population < 100000 OR Name Like 'T%') AND Country='ARG';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population,Country,Name	Country	3	NULL	104	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE Population < 200000 AND Name LIKE 'P%' AND
+(Population > 300000 OR Name LIKE 'T%') AND
+(Population < 100000 OR Name LIKE 'Pa%');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population,Name	Name	35	NULL	135	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE Population > 100000 AND Name LIKE 'Aba%' OR
+Country IN ('CAN', 'ARG') AND ID < 3800 OR
+Country < 'U' AND Name LIKE 'Zhu%' OR
+ID BETWEEN 3800 AND 3810;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name	Name,Country,PRIMARY	35,3,4	NULL	132	Using sort_union(Name,Country,PRIMARY); Using where
+EXPLAIN 
+SELECT * FROM City
+WHERE (Population > 101000 AND Population < 115000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	459	Using where
+EXPLAIN 
+SELECT * FROM City
+WHERE (Population > 101000 AND Population < 103000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	81	Using where
+EXPLAIN 
+SELECT * FROM City
+WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	Country,Name	Name,Country	35,3	NULL	172	Using sort_union(Name,Country); Using where
+EXPLAIN 
+SELECT * FROM City
+WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+AND (Population > 101000 AND Population < 115000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	Population,Country,Name	Name,Country	35,3	NULL	172	Using sort_union(Name,Country); Using where
+EXPLAIN 
+SELECT * FROM City
+WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+AND (Population > 101000 AND Population < 103000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population,Country,Name	Population	4	NULL	81	Using where
+SELECT * FROM City USE INDEX ()
+WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+AND (Population > 101000 AND Population < 115000);
+ID	Name	Country	Population
+403	Catanduva	BRA	107761
+412	Cachoeirinha	BRA	103240
+636	Bilbays	EGY	113608
+637	Mit Ghamr	EGY	101801
+701	Tarragona	ESP	113016
+702	Lleida (Lérida)	ESP	112207
+703	Jaén	ESP	109247
+704	Ourense (Orense)	ESP	109120
+705	Mataró	ESP	104095
+706	Algeciras	ESP	103106
+707	Marbella	ESP	101144
+759	Gonder	ETH	112249
+869	Cabuyao	PHL	106630
+870	Calapan	PHL	105910
+873	Cauayan	PHL	103952
+1844	Cape Breton	CAN	114733
+1847	Cambridge	CAN	109186
+2908	Cajamarca	PER	108009
+3003	Caen	FRA	113987
+3411	Ceyhan	TUR	102412
+3571	Calabozo	VEN	107146
+3786	Cam Ranh	VNM	114041
+3792	Tartu	EST	101246
+4002	Carrollton	USA	109576
+4027	Cape Coral	USA	102286
+4032	Cambridge	USA	101355
+SELECT * FROM City
+WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+AND (Population > 101000 AND Population < 115000);
+ID	Name	Country	Population
+403	Catanduva	BRA	107761
+412	Cachoeirinha	BRA	103240
+636	Bilbays	EGY	113608
+637	Mit Ghamr	EGY	101801
+701	Tarragona	ESP	113016
+702	Lleida (Lérida)	ESP	112207
+703	Jaén	ESP	109247
+704	Ourense (Orense)	ESP	109120
+705	Mataró	ESP	104095
+706	Algeciras	ESP	103106
+707	Marbella	ESP	101144
+759	Gonder	ETH	112249
+869	Cabuyao	PHL	106630
+870	Calapan	PHL	105910
+873	Cauayan	PHL	103952
+1844	Cape Breton	CAN	114733
+1847	Cambridge	CAN	109186
+2908	Cajamarca	PER	108009
+3003	Caen	FRA	113987
+3411	Ceyhan	TUR	102412
+3571	Calabozo	VEN	107146
+3786	Cam Ranh	VNM	114041
+3792	Tartu	EST	101246
+4002	Carrollton	USA	109576
+4027	Cape Coral	USA	102286
+4032	Cambridge	USA	101355
+SELECT * FROM City USE INDEX ()
+WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+AND (Population > 101000 AND Population < 103000);
+ID	Name	Country	Population
+637	Mit Ghamr	EGY	101801
+707	Marbella	ESP	101144
+3411	Ceyhan	TUR	102412
+3792	Tartu	EST	101246
+4027	Cape Coral	USA	102286
+4032	Cambridge	USA	101355
+SELECT * FROM City
+WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+AND (Population > 101000 AND Population < 103000);
+ID	Name	Country	Population
+707	Marbella	ESP	101144
+3792	Tartu	EST	101246
+4032	Cambridge	USA	101355
+637	Mit Ghamr	EGY	101801
+4027	Cape Coral	USA	102286
+3411	Ceyhan	TUR	102412
+EXPLAIN
+SELECT  * FROM City WHERE (Name < 'Ac');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	13	Using where
+EXPLAIN
+SELECT  * FROM City WHERE (Name < 'C');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	325	Using where
+EXPLAIN
+SELECT  * FROM City WHERE (Country > 'A' AND Country < 'B');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Country	Country	3	NULL	104	Using where
+EXPLAIN
+SELECT  * FROM City WHERE (Name BETWEEN 'P' AND 'Pb');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	39	Using where
+EXPLAIN
+SELECT  * FROM City WHERE (Name BETWEEN 'P' AND 'T');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	468	Using where
+EXPLAIN
+SELECT  * FROM City WHERE (Population > 101000 AND Population < 110000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	328	Using where
+EXPLAIN
+SELECT  * FROM City WHERE (Population > 103000 AND Population < 104000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	37	Using where
+EXPLAIN
+SELECT  * FROM City 
+WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population,Country,Name	Name	35	NULL	52	Using where
+EXPLAIN
+SELECT  * FROM City
+WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	Population,Country,Name	Name,Population	35,4	NULL	50	Using sort_union(Name,Population); Using where
+EXPLAIN
+SELECT  * FROM City
+WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	Population,Country,Name	Country,Name	3,35	NULL	143	Using sort_union(Country,Name); Using where
+EXPLAIN
+SELECT  * FROM City
+WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	Population,Country,Name	Country,Population	3,4	NULL	141	Using sort_union(Country,Population); Using where
+SELECT  * FROM City USE INDEX ()
+WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+ID	Name	Country	Population
+65	Abu Dhabi	ARE	398695
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+750	Paarl	ZAF	105768
+2865	Pak Pattan	PAK	107800
+SELECT  * FROM City 
+WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+ID	Name	Country	Population
+65	Abu Dhabi	ARE	398695
+750	Paarl	ZAF	105768
+168	Pabna	BGD	103277
+2865	Pak Pattan	PAK	107800
+189	Parakou	BEN	103577
+SELECT  * FROM City USE INDEX ()
+WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+ID	Name	Country	Population
+65	Abu Dhabi	ARE	398695
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+914	Sekondi-Takoradi	GHA	103653
+1003	Pemalang	IDN	103500
+2663	Río Bravo	MEX	103901
+SELECT  * FROM City
+WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+ID	Name	Country	Population
+65	Abu Dhabi	ARE	398695
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+914	Sekondi-Takoradi	GHA	103653
+1003	Pemalang	IDN	103500
+2663	Río Bravo	MEX	103901
+SELECT  * FROM City USE INDEX ()
+WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+ID	Name	Country	Population
+55	Andorra la Vella	AND	21189
+59	Benguela	AGO	128300
+65	Abu Dhabi	ARE	398695
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+69	Buenos Aires	ARG	2982146
+75	Almirante Brown	ARG	538918
+85	Avellaneda	ARG	353046
+93	Berazategui	ARG	276916
+96	Bahía Blanca	ARG	239810
+132	Brisbane	AUS	1291117
+134	Adelaide	AUS	978100
+144	Baku	AZE	1787800
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+750	Paarl	ZAF	105768
+2865	Pak Pattan	PAK	107800
+SELECT  * FROM City
+WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+ID	Name	Country	Population
+55	Andorra la Vella	AND	21189
+59	Benguela	AGO	128300
+65	Abu Dhabi	ARE	398695
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+69	Buenos Aires	ARG	2982146
+75	Almirante Brown	ARG	538918
+85	Avellaneda	ARG	353046
+93	Berazategui	ARG	276916
+96	Bahía Blanca	ARG	239810
+132	Brisbane	AUS	1291117
+134	Adelaide	AUS	978100
+144	Baku	AZE	1787800
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+750	Paarl	ZAF	105768
+2865	Pak Pattan	PAK	107800
+SELECT  * FROM City USE INDEX ()
+WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+ID	Name	Country	Population
+55	Andorra la Vella	AND	21189
+59	Benguela	AGO	128300
+65	Abu Dhabi	ARE	398695
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+69	Buenos Aires	ARG	2982146
+75	Almirante Brown	ARG	538918
+85	Avellaneda	ARG	353046
+93	Berazategui	ARG	276916
+96	Bahía Blanca	ARG	239810
+132	Brisbane	AUS	1291117
+134	Adelaide	AUS	978100
+144	Baku	AZE	1787800
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+914	Sekondi-Takoradi	GHA	103653
+1003	Pemalang	IDN	103500
+2663	Río Bravo	MEX	103901
+SELECT  * FROM City
+WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+ID	Name	Country	Population
+55	Andorra la Vella	AND	21189
+59	Benguela	AGO	128300
+65	Abu Dhabi	ARE	398695
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+69	Buenos Aires	ARG	2982146
+75	Almirante Brown	ARG	538918
+85	Avellaneda	ARG	353046
+93	Berazategui	ARG	276916
+96	Bahía Blanca	ARG	239810
+132	Brisbane	AUS	1291117
+134	Adelaide	AUS	978100
+144	Baku	AZE	1787800
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+914	Sekondi-Takoradi	GHA	103653
+1003	Pemalang	IDN	103500
+2663	Río Bravo	MEX	103901
+EXPLAIN
+SELECT * FROM City WHERE (ID < 50) OR (ID BETWEEN 100 AND 110);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	61	Using where
+EXPLAIN
+SELECT * FROM City WHERE (ID < 200) OR (ID BETWEEN 300 AND 600);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	501	Using where
+EXPLAIN
+SELECT * FROM City WHERE (ID < 600) OR (ID BETWEEN 900 AND 1800);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ALL	PRIMARY	NULL	NULL	NULL	4079	Using where
+EXPLAIN
+SELECT * FROM City WHERE Country > 'A' AND Country < 'ARG';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Country	Country	3	NULL	19	Using where
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'H%' OR Name LIKE 'P%' ;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	222	Using where
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'Ha%' OR Name LIKE 'Pa%' ;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	72	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((ID < 50) AND (Name LIKE 'H%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 100 AND 110) AND 
+(Name LIKE 'P%' OR (Population > 103000 AND Population < 104000)));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY,Population,Country,Name	PRIMARY	4	NULL	61	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((ID < 800) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 900 AND 1800) AND 
+(Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name	Name,Country,Population	35,3,4	NULL	128	Using sort_union(Name,Country,Population); Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((ID < 600) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 300 AND 600) AND 
+(Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name	Name,Country,Population	35,3,4	NULL	128	Using sort_union(Name,Country,Population); Using where
+SELECT * FROM City USE INDEX ()
+WHERE ((ID < 50) AND (Name LIKE 'H%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 100 AND 110) AND 
+(Name LIKE 'P%' OR (Population > 103000 AND Population < 104000)));
+ID	Name	Country	Population
+1	Kabul	AFG	1780000
+2	Qandahar	AFG	237500
+3	Herat	AFG	186800
+4	Mazar-e-Sharif	AFG	127800
+7	Haag	NLD	440900
+16	Haarlem	NLD	148772
+25	Haarlemmermeer	NLD	110722
+31	Heerlen	NLD	95052
+33	Willemstad	ANT	2345
+34	Tirana	ALB	270000
+100	Paraná	ARG	207041
+102	Posadas	ARG	201273
+SELECT * FROM City
+WHERE ((ID < 50) AND (Name LIKE 'H%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 100 AND 110) AND 
+(Name LIKE 'P%' OR (Population > 103000 AND Population < 104000)));
+ID	Name	Country	Population
+1	Kabul	AFG	1780000
+2	Qandahar	AFG	237500
+3	Herat	AFG	186800
+4	Mazar-e-Sharif	AFG	127800
+7	Haag	NLD	440900
+16	Haarlem	NLD	148772
+25	Haarlemmermeer	NLD	110722
+31	Heerlen	NLD	95052
+33	Willemstad	ANT	2345
+34	Tirana	ALB	270000
+100	Paraná	ARG	207041
+102	Posadas	ARG	201273
+SELECT * FROM City USE INDEX()
+WHERE ((ID < 800) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 900 AND 1800) AND 
+(Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+ID	Name	Country	Population
+1	Kabul	AFG	1780000
+2	Qandahar	AFG	237500
+3	Herat	AFG	186800
+4	Mazar-e-Sharif	AFG	127800
+7	Haag	NLD	440900
+16	Haarlem	NLD	148772
+25	Haarlemmermeer	NLD	110722
+33	Willemstad	ANT	2345
+34	Tirana	ALB	270000
+55	Andorra la Vella	AND	21189
+56	Luanda	AGO	2022000
+57	Huambo	AGO	163100
+58	Lobito	AGO	130000
+59	Benguela	AGO	128300
+60	Namibe	AGO	118200
+61	South Hill	AIA	961
+62	The Valley	AIA	595
+64	Dubai	ARE	669181
+65	Abu Dhabi	ARE	398695
+66	Sharja	ARE	320095
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+129	Oranjestad	ABW	29034
+191	Hamilton	BMU	1200
+528	Hartlepool	GBR	92000
+529	Halifax	GBR	91069
+914	Sekondi-Takoradi	GHA	103653
+943	Palembang	IDN	1222764
+950	Padang	IDN	534474
+983	Palu	IDN	142800
+984	Pasuruan	IDN	134019
+991	Pangkal Pinang	IDN	124000
+1003	Pemalang	IDN	103500
+1004	Klaten	IDN	103300
+1007	Palangka Raya	IDN	99693
+1020	Padang Sidempuan	IDN	91200
+1045	Patna	IND	917243
+1114	Panihati	IND	275990
+1129	Patiala	IND	238368
+1142	Panipat	IND	215218
+1159	Parbhani	IND	190255
+1231	Pali	IND	136842
+1263	Pathankot	IND	123930
+1265	Palghat (Palakkad)	IND	123289
+1293	Pallavaram	IND	111866
+1319	Tellicherry (Thalassery)	IND	103579
+1339	Palayankottai	IND	97662
+1345	Patan	IND	96109
+1436	Marv Dasht	IRN	103579
+1468	Palermo	ITA	683794
+1478	Padova	ITA	211391
+1484	Parma	ITA	168717
+1530	Kingston	JAM	103962
+1747	Toda	JPN	103969
+1748	Tajimi	JPN	103171
+1785	Ibb	YEM	103300
+SELECT * FROM City
+WHERE ((ID < 800) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 900 AND 1800) AND 
+(Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+ID	Name	Country	Population
+1	Kabul	AFG	1780000
+2	Qandahar	AFG	237500
+3	Herat	AFG	186800
+4	Mazar-e-Sharif	AFG	127800
+7	Haag	NLD	440900
+16	Haarlem	NLD	148772
+25	Haarlemmermeer	NLD	110722
+33	Willemstad	ANT	2345
+34	Tirana	ALB	270000
+55	Andorra la Vella	AND	21189
+56	Luanda	AGO	2022000
+57	Huambo	AGO	163100
+58	Lobito	AGO	130000
+59	Benguela	AGO	128300
+60	Namibe	AGO	118200
+61	South Hill	AIA	961
+62	The Valley	AIA	595
+64	Dubai	ARE	669181
+65	Abu Dhabi	ARE	398695
+66	Sharja	ARE	320095
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+129	Oranjestad	ABW	29034
+191	Hamilton	BMU	1200
+528	Hartlepool	GBR	92000
+529	Halifax	GBR	91069
+914	Sekondi-Takoradi	GHA	103653
+943	Palembang	IDN	1222764
+950	Padang	IDN	534474
+983	Palu	IDN	142800
+984	Pasuruan	IDN	134019
+991	Pangkal Pinang	IDN	124000
+1003	Pemalang	IDN	103500
+1004	Klaten	IDN	103300
+1007	Palangka Raya	IDN	99693
+1020	Padang Sidempuan	IDN	91200
+1045	Patna	IND	917243
+1114	Panihati	IND	275990
+1129	Patiala	IND	238368
+1142	Panipat	IND	215218
+1159	Parbhani	IND	190255
+1231	Pali	IND	136842
+1263	Pathankot	IND	123930
+1265	Palghat (Palakkad)	IND	123289
+1293	Pallavaram	IND	111866
+1319	Tellicherry (Thalassery)	IND	103579
+1339	Palayankottai	IND	97662
+1345	Patan	IND	96109
+1436	Marv Dasht	IRN	103579
+1468	Palermo	ITA	683794
+1478	Padova	ITA	211391
+1484	Parma	ITA	168717
+1530	Kingston	JAM	103962
+1747	Toda	JPN	103969
+1748	Tajimi	JPN	103171
+1785	Ibb	YEM	103300
+SELECT * FROM City USE INDEX ()
+WHERE ((ID < 200) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 300 AND 600) AND 
+(Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+ID	Name	Country	Population
+1	Kabul	AFG	1780000
+2	Qandahar	AFG	237500
+3	Herat	AFG	186800
+4	Mazar-e-Sharif	AFG	127800
+7	Haag	NLD	440900
+16	Haarlem	NLD	148772
+25	Haarlemmermeer	NLD	110722
+33	Willemstad	ANT	2345
+34	Tirana	ALB	270000
+55	Andorra la Vella	AND	21189
+56	Luanda	AGO	2022000
+57	Huambo	AGO	163100
+58	Lobito	AGO	130000
+59	Benguela	AGO	128300
+60	Namibe	AGO	118200
+61	South Hill	AIA	961
+62	The Valley	AIA	595
+64	Dubai	ARE	669181
+65	Abu Dhabi	ARE	398695
+66	Sharja	ARE	320095
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+129	Oranjestad	ABW	29034
+191	Hamilton	BMU	1200
+339	Passo Fundo	BRA	166343
+364	Parnaíba	BRA	129756
+372	Paranaguá	BRA	126076
+379	Palmas	BRA	121919
+386	Patos de Minas	BRA	119262
+411	Guaratinguetá	BRA	103433
+412	Cachoeirinha	BRA	103240
+413	Codó	BRA	103153
+424	Passos	BRA	98570
+430	Paulo Afonso	BRA	97291
+435	Parnamirim	BRA	96210
+448	Patos	BRA	90519
+451	Palhoça	BRA	89465
+517	Oldham	GBR	103931
+SELECT * FROM City
+WHERE ((ID < 200) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 300 AND 600) AND 
+(Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+ID	Name	Country	Population
+1	Kabul	AFG	1780000
+2	Qandahar	AFG	237500
+3	Herat	AFG	186800
+4	Mazar-e-Sharif	AFG	127800
+7	Haag	NLD	440900
+16	Haarlem	NLD	148772
+25	Haarlemmermeer	NLD	110722
+33	Willemstad	ANT	2345
+34	Tirana	ALB	270000
+55	Andorra la Vella	AND	21189
+56	Luanda	AGO	2022000
+57	Huambo	AGO	163100
+58	Lobito	AGO	130000
+59	Benguela	AGO	128300
+60	Namibe	AGO	118200
+61	South Hill	AIA	961
+62	The Valley	AIA	595
+64	Dubai	ARE	669181
+65	Abu Dhabi	ARE	398695
+66	Sharja	ARE	320095
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+129	Oranjestad	ABW	29034
+191	Hamilton	BMU	1200
+339	Passo Fundo	BRA	166343
+364	Parnaíba	BRA	129756
+372	Paranaguá	BRA	126076
+379	Palmas	BRA	121919
+386	Patos de Minas	BRA	119262
+411	Guaratinguetá	BRA	103433
+412	Cachoeirinha	BRA	103240
+413	Codó	BRA	103153
+424	Passos	BRA	98570
+430	Paulo Afonso	BRA	97291
+435	Parnamirim	BRA	96210
+448	Patos	BRA	90519
+451	Palhoça	BRA	89465
+517	Oldham	GBR	103931
+EXPLAIN 
+SELECT * FROM City WHERE Population > 101000 AND Population < 102000;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	39	Using where
+EXPLAIN 
+SELECT * FROM City WHERE Population > 101000 AND Population < 110000;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	328	Using where
+EXPLAIN 
+SELECT * FROM City WHERE Country < 'C';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Country	Country	3	NULL	436	Using where
+EXPLAIN 
+SELECT * FROM City WHERE Country < 'AGO';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Country	Country	3	NULL	6	Using where
+EXPLAIN 
+SELECT * FROM City WHERE Name BETWEEN 'P' AND 'T';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	468	Using where
+EXPLAIN 
+SELECT * FROM City WHERE Name BETWEEN 'P' AND 'Pb';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	39	Using where
+EXPLAIN 
+SELECT * FROM City WHERE ID BETWEEN 3400 AND 3800;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	401	Using where
+EXPLAIN 
+SELECT * FROM City WHERE ID BETWEEN 3790 AND 3800;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	11	Using where
+EXPLAIN 
+SELECT * FROM City WHERE Name LIKE 'P%';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	135	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 102000) AND
+(Country < 'C' OR Name BETWEEN 'P' AND 'T')) OR
+((ID BETWEEN 3400 AND 3800) AND 
+(Country < 'AGO' OR Name LIKE 'Pa%'));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name	Country,Name,Population	3,35,4	NULL	84	Using sort_union(Country,Name,Population); Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 110000) AND
+(Country < 'AGO' OR Name BETWEEN 'P' AND 'Pb')) OR
+((ID BETWEEN 3790 AND 3800) AND 
+(Country < 'C' OR Name LIKE 'P%'));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name	Country,Name,PRIMARY	3,35,4	NULL	56	Using sort_union(Country,Name,PRIMARY); Using where
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 102000) AND
+(Country < 'C' OR Name BETWEEN 'P' AND 'T')) OR
+((ID BETWEEN 3400 AND 3800) AND 
+(Country < 'AGO' OR Name LIKE 'Pa%'));
+ID	Name	Country	Population
+169	Naogaon	BGD	101266
+205	Francistown	BWA	101805
+417	Itaituba	BRA	101320
+418	Araras	BRA	101046
+751	Potchefstroom	ZAF	101817
+1752	Sakata	JPN	101651
+1851	Saint John´s	CAN	101936
+1853	Saanich	CAN	101388
+2909	Puno	PER	101578
+3463	Pavlograd	UKR	127000
+4030	Sandy	USA	101853
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 102000) AND
+(Country < 'C' OR Name BETWEEN 'P' AND 'T')) OR
+((ID BETWEEN 3400 AND 3800) AND 
+(Country < 'AGO' OR Name LIKE 'Pa%'));
+ID	Name	Country	Population
+169	Naogaon	BGD	101266
+205	Francistown	BWA	101805
+417	Itaituba	BRA	101320
+418	Araras	BRA	101046
+751	Potchefstroom	ZAF	101817
+1752	Sakata	JPN	101651
+1851	Saint John´s	CAN	101936
+1853	Saanich	CAN	101388
+2909	Puno	PER	101578
+3463	Pavlograd	UKR	127000
+4030	Sandy	USA	101853
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 110000) AND
+(Country < 'AGO' OR Name BETWEEN 'P' AND 'Pb')) OR
+((ID BETWEEN 3790 AND 3800) AND 
+(Country < 'C' OR Name LIKE 'P%'));
+ID	Name	Country	Population
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+750	Paarl	ZAF	105768
+2865	Pak Pattan	PAK	107800
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 110000) AND
+(Country < 'AGO' OR Name BETWEEN 'P' AND 'Pb')) OR
+((ID BETWEEN 3790 AND 3800) AND 
+(Country < 'C' OR Name LIKE 'P%'));
+ID	Name	Country	Population
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+750	Paarl	ZAF	105768
+2865	Pak Pattan	PAK	107800
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+CREATE INDEX CountryPopulation ON City(Country,Population);
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'Pas%';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	5	Using where
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'P%';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	135	Using where
+EXPLAIN
+SELECT * FROM City WHERE (Population > 101000 AND Population < 103000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	81	Using where
+EXPLAIN
+SELECT * FROM City WHERE Country='USA';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ref	Country,CountryPopulation	Country	3	const	267	Using where
+EXPLAIN
+SELECT * FROM City 
+WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'Pas%')
+AND Country='USA';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	Population,Country,Name,CountryPopulation	CountryPopulation,Name	7,35	NULL	15	Using sort_union(CountryPopulation,Name); Using where
+EXPLAIN
+SELECT * FROM City 
+WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'P%')
+AND Country='USA';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ref	Population,Country,Name,CountryPopulation	Country	3	const	267	Using where
+SELECT * FROM City 
+WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'Pas%')
+AND Country='USA';
+ID	Name	Country	Population
+3943	Pasadena	USA	141674
+3953	Pasadena	USA	133936
+4023	Gary	USA	102746
+4024	Berkeley	USA	102743
+4025	Santa Clara	USA	102361
+4026	Green Bay	USA	102313
+4027	Cape Coral	USA	102286
+4028	Arvada	USA	102153
+4029	Pueblo	USA	102121
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'Pas%')
+AND Country='USA';
+ID	Name	Country	Population
+3943	Pasadena	USA	141674
+3953	Pasadena	USA	133936
+4023	Gary	USA	102746
+4024	Berkeley	USA	102743
+4025	Santa Clara	USA	102361
+4026	Green Bay	USA	102313
+4027	Cape Coral	USA	102286
+4028	Arvada	USA	102153
+4029	Pueblo	USA	102121
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City 
+WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'P%')
+AND Country='USA';
+ID	Name	Country	Population
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+3820	Portland	USA	529121
+3844	Pittsburgh	USA	334563
+3870	Plano	USA	222030
+3912	Providence	USA	173618
+3930	Pomona	USA	149473
+3932	Paterson	USA	149222
+3943	Pasadena	USA	141674
+3951	Pembroke Pines	USA	137427
+3953	Pasadena	USA	133936
+3967	Paradise	USA	124682
+3986	Palmdale	USA	116670
+3996	Peoria	USA	112936
+4007	Peoria	USA	108364
+4016	Provo	USA	105166
+4023	Gary	USA	102746
+4024	Berkeley	USA	102743
+4025	Santa Clara	USA	102361
+4026	Green Bay	USA	102313
+4027	Cape Coral	USA	102286
+4028	Arvada	USA	102153
+4029	Pueblo	USA	102121
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+4035	Portsmouth	USA	100565
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'P%')
+AND Country='USA';
+ID	Name	Country	Population
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+3820	Portland	USA	529121
+3844	Pittsburgh	USA	334563
+3870	Plano	USA	222030
+3912	Providence	USA	173618
+3930	Pomona	USA	149473
+3932	Paterson	USA	149222
+3943	Pasadena	USA	141674
+3951	Pembroke Pines	USA	137427
+3953	Pasadena	USA	133936
+3967	Paradise	USA	124682
+3986	Palmdale	USA	116670
+3996	Peoria	USA	112936
+4007	Peoria	USA	108364
+4016	Provo	USA	105166
+4023	Gary	USA	102746
+4024	Berkeley	USA	102743
+4025	Santa Clara	USA	102361
+4026	Green Bay	USA	102313
+4027	Cape Coral	USA	102286
+4028	Arvada	USA	102153
+4029	Pueblo	USA	102121
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+4035	Portsmouth	USA	100565
+CREATE INDEX CountryName ON City(Country,Name);
+EXPLAIN
+SELECT * FROM City WHERE Country='USA';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ref	Country,CountryPopulation,CountryName	Country	3	const	267	Using where
+EXPLAIN
+SELECT * FROM City WHERE Country='BRA';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ref	Country,CountryPopulation,CountryName	CountryName	3	const	221	Using where
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 3790 AND 3800;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	11	Using where
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 4025 AND 4035;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	11	Using where
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 4028 AND 4032;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	5	Using where
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 3500 AND 3800;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	301	Using where
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 4000 AND 4300;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	80	Using where
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 250 and 260 ;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	11	Using where
+EXPLAIN
+SELECT * FROM City WHERE (Population > 101000 AND Population < 102000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	39	Using where
+EXPLAIN
+SELECT * FROM City WHERE (Population > 101000 AND Population < 103000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	81	Using where
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'Pa%';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	41	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name,CountryPopulation,CountryName	CountryPopulation,PRIMARY	7,4	NULL	14	Using sort_union(CountryPopulation,PRIMARY); Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 103000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4028 AND 4032);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name,CountryPopulation,CountryName	CountryName,PRIMARY	38,4	NULL	11	Using sort_union(CountryName,PRIMARY); Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 110000) OR
+ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name BETWEEN 'P' AND 'T' OR ID BETWEEN 4000 AND 4300);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ref	PRIMARY,Population,Country,Name,CountryPopulation,CountryName	Country	3	const	267	Using where
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+ID	Name	Country	Population
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+ID	Name	Country	Population
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4028 AND 4032);
+ID	Name	Country	Population
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4028 AND 4032);
+ID	Name	Country	Population
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+ID	Name	Country	Population
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+ID	Name	Country	Population
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 and Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        OR (Name LIKE 'Pa%' OR ID BETWEEN 250 AND 260) AND Country='BRA';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name,CountryPopulation,CountryName	CountryPopulation,PRIMARY,CountryName	7,4,38	NULL	35	Using sort_union(CountryPopulation,PRIMARY,CountryName); Using where
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 and Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        OR (Name LIKE 'Pa%' OR ID BETWEEN 250 AND 260) AND Country='BRA';
+ID	Name	Country	Population
+250	Mauá	BRA	375055
+251	Carapicuíba	BRA	357552
+252	Olinda	BRA	354732
+253	Campina Grande	BRA	352497
+254	São José do Rio Preto	BRA	351944
+255	Caxias do Sul	BRA	349581
+256	Moji das Cruzes	BRA	339194
+257	Diadema	BRA	335078
+258	Aparecida de Goiânia	BRA	324662
+259	Piracicaba	BRA	319104
+260	Cariacica	BRA	319033
+285	Paulista	BRA	248473
+339	Passo Fundo	BRA	166343
+364	Parnaíba	BRA	129756
+372	Paranaguá	BRA	126076
+379	Palmas	BRA	121919
+386	Patos de Minas	BRA	119262
+424	Passos	BRA	98570
+430	Paulo Afonso	BRA	97291
+435	Parnamirim	BRA	96210
+448	Patos	BRA	90519
+451	Palhoça	BRA	89465
+3793	New York	USA	8008278
+3794	Los Angeles	USA	3694820
+3795	Chicago	USA	2896016
+3796	Houston	USA	1953631
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+3799	San Diego	USA	1223400
+3800	Dallas	USA	1188580
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City
+WHERE ((Population > 101000 and Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        OR (Name LIKE 'Pa%' OR ID BETWEEN 250 AND 260) AND Country='BRA';
+ID	Name	Country	Population
+250	Mauá	BRA	375055
+251	Carapicuíba	BRA	357552
+252	Olinda	BRA	354732
+253	Campina Grande	BRA	352497
+254	São José do Rio Preto	BRA	351944
+255	Caxias do Sul	BRA	349581
+256	Moji das Cruzes	BRA	339194
+257	Diadema	BRA	335078
+258	Aparecida de Goiânia	BRA	324662
+259	Piracicaba	BRA	319104
+260	Cariacica	BRA	319033
+285	Paulista	BRA	248473
+339	Passo Fundo	BRA	166343
+364	Parnaíba	BRA	129756
+372	Paranaguá	BRA	126076
+379	Palmas	BRA	121919
+386	Patos de Minas	BRA	119262
+424	Passos	BRA	98570
+430	Paulo Afonso	BRA	97291
+435	Parnamirim	BRA	96210
+448	Patos	BRA	90519
+451	Palhoça	BRA	89465
+3793	New York	USA	8008278
+3794	Los Angeles	USA	3694820
+3795	Chicago	USA	2896016
+3796	Houston	USA	1953631
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+3799	San Diego	USA	1223400
+3800	Dallas	USA	1188580
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 11000) OR
+ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'P%' OR ID BETWEEN 4000 AND 4300);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY,Population,Country,Name,CountryPopulation,CountryName	CountryName	38	NULL	23	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 11000) OR
+ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pho%' OR ID BETWEEN 4000 AND 4300);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY,Population,Country,Name,CountryPopulation,CountryName	Name	35	NULL	1	Using where
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 11000) OR
+ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'P%' OR ID BETWEEN 4000 AND 4300);
+ID	Name	Country	Population
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 11000) OR
+ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'P%' OR ID BETWEEN 4000 AND 4300);
+ID	Name	Country	Population
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 11000) OR
+ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pho%' OR ID BETWEEN 4000 AND 4300);
+ID	Name	Country	Population
+3798	Phoenix	USA	1321045
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 11000) OR
+ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pho%' OR ID BETWEEN 4000 AND 4300);
+ID	Name	Country	Population
+3798	Phoenix	USA	1321045
+DROP DATABASE world;
+use test;
+CREATE TABLE t1 (
+id int(10) unsigned NOT NULL auto_increment,
+account_id int(10) unsigned NOT NULL,
+first_name varchar(50) default NULL,
+middle_name varchar(50) default NULL,
+last_name  varchar(100) default NULL,
+home_address_1 varchar(150) default NULL,
+home_city varchar(75) default NULL,
+home_state char(2) default NULL,
+home_postal_code varchar(50) default NULL,
+home_county varchar(75) default NULL,
+home_country char(3) default NULL,
+work_address_1 varchar(150) default NULL,
+work_city varchar(75) default NULL,
+work_state char(2) default NULL,
+work_postal_code varchar(50) default NULL,
+work_county varchar(75) default NULL,
+work_country char(3) default NULL,
+login varchar(50) NOT NULL,
+PRIMARY KEY  (id),
+KEY login (login,account_id),
+KEY account_id (account_id),
+KEY user_home_country_indx (home_country),
+KEY user_work_country_indx (work_country),
+KEY user_home_state_indx (home_state),
+KEY user_work_state_indx (work_state),
+KEY user_home_city_indx (home_city),
+KEY user_work_city_indx (work_city),
+KEY user_first_name_indx (first_name),
+KEY user_last_name_indx (last_name)
+);
+insert into t1(account_id, login, home_state, work_state) values
+(1, 'pw', 'ia', 'ia'), (1, 'pw', 'ia', 'ia'), (1, 'pw', 'ia', 'ia'),
+(1, 'pw', 'ia', 'ia'), (1, 'pw', 'ia', 'ia'), (1, 'pw', 'ia', 'ia');
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+analyze table t1;
+Table	Op	Msg_type	Msg_text
+test.t1	analyze	status	OK
+select count(*) from t1 where account_id = 1;
+count(*)
+3072
+select * from t1
+where (home_state = 'ia' or work_state='ia') and account_id = 1;
+id	account_id	first_name	middle_name	last_name	home_address_1	home_city	home_state	home_postal_code	home_county	home_country	work_address_1	work_city	work_state	work_postal_code	work_county	work_country	login
+1	1	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	pw
+2	1	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	pw
+3	1	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	pw
+4	1	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	pw
+5	1	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	pw
+6	1	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	pw
+explain
+select * from t1
+where (home_state = 'ia' or work_state='ia') and account_id = 1;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	account_id,user_home_state_indx,user_work_state_indx	user_home_state_indx,user_work_state_indx	3,3	NULL	6	Using union(user_home_state_indx,user_work_state_indx); Using where
+drop table t1;
+CREATE TABLE t1 (
+c1 int(11) NOT NULL auto_increment,
+c2 decimal(10,0) default NULL,
+c3 decimal(10,0) default NULL,
+c4 decimal(10,0) default NULL,
+c5 decimal(10,0) default NULL,
+cp decimal(1,0) default NULL,
+ce decimal(10,0) default NULL,
+cdata char(20),
+PRIMARY KEY  (c1),
+KEY k1 (c2,c3,cp,ce),
+KEY k2 (c4,c5,cp,ce)
+);
+insert into t1 (c2, c3, c4, c5, cp) values(1,1,1,1,1);
+insert into t1 (c2, c3, c4, c5, cp) values(2,1,1,1,4);
+insert into t1 (c2, c3, c4, c5, cp) values(2,1,2,1,1);
+insert into t1 (c2, c3, c4, c5, cp) values(2,1,3,1,4);
+insert into t1 (c2, c3, c4, c5, cp) values(3,1,4,1,4);
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+analyze table t1;
+Table	Op	Msg_type	Msg_text
+test.t1	analyze	status	OK
+explain
+select * from t1 where (c2=1 and c3=1) or (c4=2 and c5=1);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	k1,k2	k1,k2	12,12	NULL	2	Using sort_union(k1,k2); Using where
+explain
+select * from t1
+where (c2=1 and c3=1 and cp=1) or (c4=2 and c5=1 and cp=1);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	k1,k2	k1,k2	14,14	NULL	2	Using sort_union(k1,k2); Using where
+explain
+select * from t1
+where ((c2=1 and c3=1) or (c4=2 and c5=1)) and cp=1;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	k1,k2	k1,k2	14,14	NULL	2	Using sort_union(k1,k2); Using where
+select * from t1
+where (c2=1 and c3=1 and cp=1) or (c4=2 and c5=1 and cp=1);
+c1	c2	c3	c4	c5	cp	ce	cdata
+1	1	1	1	1	1	NULL	NULL
+3	2	1	2	1	1	NULL	NULL
+select * from t1
+where ((c2=1 and c3=1) or (c4=2 and c5=1)) and cp=1;
+c1	c2	c3	c4	c5	cp	ce	cdata
+1	1	1	1	1	1	NULL	NULL
+3	2	1	2	1	1	NULL	NULL
+drop table t1;
+create table t1 (
+c1 int auto_increment primary key,
+c2 char(20),
+c3 char (20), 
+c4 int
+);
+alter table t1 add key k1 (c2);
+alter table t1 add key k2 (c3);
+alter table t1 add key k3 (c4);
+insert into t1 values(null, 'a', 'b', 0);
+insert into t1 values(null, 'c', 'b', 0);
+insert into t1 values(null, 'a', 'd', 0);
+insert into t1 values(null, 'ccc', 'qqq', 0);
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3,c4) select c2,c3,1 from t1 where c2 != 'a';
+insert into t1 (c2,c3,c4) select c2,c3,2 from t1 where c2 != 'a';
+insert into t1 (c2,c3,c4) select c2,c3,3 from t1 where c2 != 'a';
+insert into t1 (c2,c3,c4) select c2,c3,4 from t1 where c2 != 'a';
+analyze table t1;
+Table	Op	Msg_type	Msg_text
+test.t1	analyze	status	OK
+select count(*) from t1 where (c2='e' OR c3='q');
+count(*)
+0
+select count(*) from t1 where c4 != 0;
+count(*)
+3840
+explain
+select distinct c1 from t1 where (c2='e' OR c3='q');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	k1,k2	k1,k2	21,21	NULL	2	Using union(k1,k2); Using where
+explain
+select distinct c1 from t1 where (c4!= 0) AND (c2='e' OR c3='q');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	k1,k2,k3	k1,k2	21,21	NULL	2	Using union(k1,k2); Using where
+drop table t1;
+create table t1 (
+id int unsigned auto_increment primary key,
+c1 char(12),
+c2 char(15),
+c3 char(1)
+);
+insert into t1 (c3) values ('1'), ('2');
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+update t1 set c1=lpad(id+1000, 12, ' '), c2=lpad(id+10000, 15, ' ');
+alter table t1 add unique index (c1), add unique index (c2), add index (c3);
+analyze table t1;
+Table	Op	Msg_type	Msg_text
+test.t1	analyze	status	OK
+explain
+select * from t1 where (c1='      100000' or c2='         2000000');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	c1,c2	c1,c2	13,16	NULL	2	Using union(c1,c2); Using where
+explain
+select * from t1 where (c1='      100000' or c2='         2000000') and c3='2';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	c1,c2,c3	c1,c2	13,16	NULL	2	Using union(c1,c2); Using where
+select * from t1 where (c1='      100000' or c2='         2000000');
+id	c1	c2	c3
+select * from t1 where (c1='      100000' or c2='         2000000') and c3='2';
+id	c1	c2	c3
+drop table t1;

=== added file 'mysql-test/r/range_vs_index_merge_innodb.result'
--- a/mysql-test/r/range_vs_index_merge_innodb.result	1970-01-01 00:00:00 +0000
+++ b/mysql-test/r/range_vs_index_merge_innodb.result	2009-10-12 04:59:34 +0000
@@ -0,0 +1,1330 @@
+SET SESSION STORAGE_ENGINE='InnoDB';
+DROP TABLE IF EXISTS t1,t2,t3,t4;
+DROP DATABASE IF EXISTS world;
+set names utf8;
+CREATE DATABASE world;
+use world;
+CREATE TABLE Country (
+Code char(3) NOT NULL default '',
+Name char(52) NOT NULL default '',
+SurfaceArea float(10,2) NOT NULL default '0.00',
+Population int(11) NOT NULL default '0',
+Capital int(11) default NULL,
+PRIMARY KEY  (Code),
+UNIQUE INDEX (Name)
+);
+CREATE TABLE City (
+ID int(11) NOT NULL auto_increment,
+Name char(35) NOT NULL default '',
+Country char(3) NOT NULL default '',
+Population int(11) NOT NULL default '0',
+PRIMARY KEY  (ID),
+INDEX (Population),
+INDEX (Country) 
+);
+CREATE TABLE CountryLanguage (
+Country char(3) NOT NULL default '',
+Language char(30) NOT NULL default '',
+Percentage float(3,1) NOT NULL default '0.0',
+PRIMARY KEY  (Country, Language),
+INDEX (Percentage)
+);
+SELECT COUNT(*) FROM Country;
+COUNT(*)
+239
+SELECT COUNT(*) FROM City;
+COUNT(*)
+4079
+SELECT COUNT(*) FROM CountryLanguage;
+COUNT(*)
+984
+CREATE INDEX Name ON City(Name);
+EXPLAIN
+SELECT * FROM City
+WHERE (Population >= 100000 OR Name LIKE 'P%' OR Population < 100000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ALL	Population,Name	NULL	NULL	NULL	4249	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE (Population >= 100000 OR Name LIKE 'P%') AND Country='CAN' OR
+(Population < 100000 OR Name Like 'T%') AND Country='ARG';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population,Country,Name	Country	3	NULL	106	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE Population < 200000 AND Name LIKE 'P%' AND
+(Population > 300000 OR Name LIKE 'T%') AND
+(Population < 100000 OR Name LIKE 'Pa%');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population,Name	Name	35	NULL	235	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE Population > 100000 AND Name LIKE 'Aba%' OR
+Country IN ('CAN', 'ARG') AND ID < 3800 OR
+Country < 'U' AND Name LIKE 'Zhu%' OR
+ID BETWEEN 3800 AND 3810;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name	Name,Country,PRIMARY	35,3,4	NULL	125	Using sort_union(Name,Country,PRIMARY); Using where
+EXPLAIN 
+SELECT * FROM City
+WHERE (Population > 101000 AND Population < 115000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	458	Using where
+EXPLAIN 
+SELECT * FROM City
+WHERE (Population > 101000 AND Population < 103000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	80	Using where
+EXPLAIN 
+SELECT * FROM City
+WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	Country,Name	Name,Country	35,3	NULL	213	Using sort_union(Name,Country); Using where
+EXPLAIN 
+SELECT * FROM City
+WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+AND (Population > 101000 AND Population < 115000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	Population,Country,Name	Name,Country	35,3	NULL	213	Using sort_union(Name,Country); Using where
+EXPLAIN 
+SELECT * FROM City
+WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+AND (Population > 101000 AND Population < 103000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population,Country,Name	Population	4	NULL	80	Using where
+SELECT * FROM City USE INDEX ()
+WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+AND (Population > 101000 AND Population < 115000);
+ID	Name	Country	Population
+403	Catanduva	BRA	107761
+412	Cachoeirinha	BRA	103240
+636	Bilbays	EGY	113608
+637	Mit Ghamr	EGY	101801
+701	Tarragona	ESP	113016
+702	Lleida (Lérida)	ESP	112207
+703	Jaén	ESP	109247
+704	Ourense (Orense)	ESP	109120
+705	Mataró	ESP	104095
+706	Algeciras	ESP	103106
+707	Marbella	ESP	101144
+759	Gonder	ETH	112249
+869	Cabuyao	PHL	106630
+870	Calapan	PHL	105910
+873	Cauayan	PHL	103952
+1844	Cape Breton	CAN	114733
+1847	Cambridge	CAN	109186
+2908	Cajamarca	PER	108009
+3003	Caen	FRA	113987
+3411	Ceyhan	TUR	102412
+3571	Calabozo	VEN	107146
+3786	Cam Ranh	VNM	114041
+3792	Tartu	EST	101246
+4002	Carrollton	USA	109576
+4027	Cape Coral	USA	102286
+4032	Cambridge	USA	101355
+SELECT * FROM City
+WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+AND (Population > 101000 AND Population < 115000);
+ID	Name	Country	Population
+403	Catanduva	BRA	107761
+412	Cachoeirinha	BRA	103240
+636	Bilbays	EGY	113608
+637	Mit Ghamr	EGY	101801
+701	Tarragona	ESP	113016
+702	Lleida (Lérida)	ESP	112207
+703	Jaén	ESP	109247
+704	Ourense (Orense)	ESP	109120
+705	Mataró	ESP	104095
+706	Algeciras	ESP	103106
+707	Marbella	ESP	101144
+759	Gonder	ETH	112249
+869	Cabuyao	PHL	106630
+870	Calapan	PHL	105910
+873	Cauayan	PHL	103952
+1844	Cape Breton	CAN	114733
+1847	Cambridge	CAN	109186
+2908	Cajamarca	PER	108009
+3003	Caen	FRA	113987
+3411	Ceyhan	TUR	102412
+3571	Calabozo	VEN	107146
+3786	Cam Ranh	VNM	114041
+3792	Tartu	EST	101246
+4002	Carrollton	USA	109576
+4027	Cape Coral	USA	102286
+4032	Cambridge	USA	101355
+SELECT * FROM City USE INDEX ()
+WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+AND (Population > 101000 AND Population < 103000);
+ID	Name	Country	Population
+637	Mit Ghamr	EGY	101801
+707	Marbella	ESP	101144
+3411	Ceyhan	TUR	102412
+3792	Tartu	EST	101246
+4027	Cape Coral	USA	102286
+4032	Cambridge	USA	101355
+SELECT * FROM City
+WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+AND (Population > 101000 AND Population < 103000);
+ID	Name	Country	Population
+707	Marbella	ESP	101144
+3792	Tartu	EST	101246
+4032	Cambridge	USA	101355
+637	Mit Ghamr	EGY	101801
+4027	Cape Coral	USA	102286
+3411	Ceyhan	TUR	102412
+EXPLAIN
+SELECT  * FROM City WHERE (Name < 'Ac');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	23	Using where
+EXPLAIN
+SELECT  * FROM City WHERE (Name < 'C');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ALL	Name	NULL	NULL	NULL	4249	Using where
+EXPLAIN
+SELECT  * FROM City WHERE (Country > 'A' AND Country < 'B');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Country	Country	3	NULL	106	Using where
+EXPLAIN
+SELECT  * FROM City WHERE (Name BETWEEN 'P' AND 'Pb');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	71	Using where
+EXPLAIN
+SELECT  * FROM City WHERE (Name BETWEEN 'P' AND 'T');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ALL	Name	NULL	NULL	NULL	4249	Using where
+EXPLAIN
+SELECT  * FROM City WHERE (Population > 101000 AND Population < 110000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	327	Using where
+EXPLAIN
+SELECT  * FROM City WHERE (Population > 103000 AND Population < 104000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	36	Using where
+EXPLAIN
+SELECT  * FROM City 
+WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population,Country,Name	Name	35	NULL	94	Using where
+EXPLAIN
+SELECT  * FROM City
+WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	Population,Country,Name	Name,Population	35,4	NULL	59	Using sort_union(Name,Population); Using where
+EXPLAIN
+SELECT  * FROM City
+WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	Population,Country,Name	Country,Name	3,35	NULL	177	Using sort_union(Country,Name); Using where
+EXPLAIN
+SELECT  * FROM City
+WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	Population,Country,Name	Country,Population	3,4	NULL	142	Using sort_union(Country,Population); Using where
+SELECT  * FROM City USE INDEX ()
+WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+ID	Name	Country	Population
+65	Abu Dhabi	ARE	398695
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+750	Paarl	ZAF	105768
+2865	Pak Pattan	PAK	107800
+SELECT  * FROM City 
+WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+ID	Name	Country	Population
+65	Abu Dhabi	ARE	398695
+750	Paarl	ZAF	105768
+168	Pabna	BGD	103277
+2865	Pak Pattan	PAK	107800
+189	Parakou	BEN	103577
+SELECT  * FROM City USE INDEX ()
+WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+ID	Name	Country	Population
+65	Abu Dhabi	ARE	398695
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+914	Sekondi-Takoradi	GHA	103653
+1003	Pemalang	IDN	103500
+2663	Río Bravo	MEX	103901
+SELECT  * FROM City
+WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+ID	Name	Country	Population
+65	Abu Dhabi	ARE	398695
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+914	Sekondi-Takoradi	GHA	103653
+1003	Pemalang	IDN	103500
+2663	Río Bravo	MEX	103901
+SELECT  * FROM City USE INDEX ()
+WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+ID	Name	Country	Population
+55	Andorra la Vella	AND	21189
+59	Benguela	AGO	128300
+65	Abu Dhabi	ARE	398695
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+69	Buenos Aires	ARG	2982146
+75	Almirante Brown	ARG	538918
+85	Avellaneda	ARG	353046
+93	Berazategui	ARG	276916
+96	Bahía Blanca	ARG	239810
+132	Brisbane	AUS	1291117
+134	Adelaide	AUS	978100
+144	Baku	AZE	1787800
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+750	Paarl	ZAF	105768
+2865	Pak Pattan	PAK	107800
+SELECT  * FROM City
+WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+ID	Name	Country	Population
+55	Andorra la Vella	AND	21189
+59	Benguela	AGO	128300
+65	Abu Dhabi	ARE	398695
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+69	Buenos Aires	ARG	2982146
+75	Almirante Brown	ARG	538918
+85	Avellaneda	ARG	353046
+93	Berazategui	ARG	276916
+96	Bahía Blanca	ARG	239810
+132	Brisbane	AUS	1291117
+134	Adelaide	AUS	978100
+144	Baku	AZE	1787800
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+750	Paarl	ZAF	105768
+2865	Pak Pattan	PAK	107800
+SELECT  * FROM City USE INDEX ()
+WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+ID	Name	Country	Population
+55	Andorra la Vella	AND	21189
+59	Benguela	AGO	128300
+65	Abu Dhabi	ARE	398695
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+69	Buenos Aires	ARG	2982146
+75	Almirante Brown	ARG	538918
+85	Avellaneda	ARG	353046
+93	Berazategui	ARG	276916
+96	Bahía Blanca	ARG	239810
+132	Brisbane	AUS	1291117
+134	Adelaide	AUS	978100
+144	Baku	AZE	1787800
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+914	Sekondi-Takoradi	GHA	103653
+1003	Pemalang	IDN	103500
+2663	Río Bravo	MEX	103901
+SELECT  * FROM City
+WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+(Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+ID	Name	Country	Population
+55	Andorra la Vella	AND	21189
+59	Benguela	AGO	128300
+65	Abu Dhabi	ARE	398695
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+69	Buenos Aires	ARG	2982146
+75	Almirante Brown	ARG	538918
+85	Avellaneda	ARG	353046
+93	Berazategui	ARG	276916
+96	Bahía Blanca	ARG	239810
+132	Brisbane	AUS	1291117
+134	Adelaide	AUS	978100
+144	Baku	AZE	1787800
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+914	Sekondi-Takoradi	GHA	103653
+1003	Pemalang	IDN	103500
+2663	Río Bravo	MEX	103901
+EXPLAIN
+SELECT * FROM City WHERE (ID < 50) OR (ID BETWEEN 100 AND 110);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	60	Using where
+EXPLAIN
+SELECT * FROM City WHERE (ID < 200) OR (ID BETWEEN 300 AND 600);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	1142	Using where
+EXPLAIN
+SELECT * FROM City WHERE (ID < 600) OR (ID BETWEEN 900 AND 1800);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	2950	Using where
+EXPLAIN
+SELECT * FROM City WHERE Country > 'A' AND Country < 'ARG';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Country	Country	3	NULL	19	Using where
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'H%' OR Name LIKE 'P%' ;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	394	Using where
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'Ha%' OR Name LIKE 'Pa%' ;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	133	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((ID < 50) AND (Name LIKE 'H%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 100 AND 110) AND 
+(Name LIKE 'P%' OR (Population > 103000 AND Population < 104000)));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY,Population,Country,Name	PRIMARY	4	NULL	60	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((ID < 800) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 900 AND 1800) AND 
+(Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name	Name,Country,Population	35,3,4	NULL	188	Using sort_union(Name,Country,Population); Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((ID < 600) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 300 AND 600) AND 
+(Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY,Population,Country,Name	PRIMARY	4	NULL	1062	Using where
+SELECT * FROM City USE INDEX ()
+WHERE ((ID < 50) AND (Name LIKE 'H%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 100 AND 110) AND 
+(Name LIKE 'P%' OR (Population > 103000 AND Population < 104000)));
+ID	Name	Country	Population
+1	Kabul	AFG	1780000
+2	Qandahar	AFG	237500
+3	Herat	AFG	186800
+4	Mazar-e-Sharif	AFG	127800
+7	Haag	NLD	440900
+16	Haarlem	NLD	148772
+25	Haarlemmermeer	NLD	110722
+31	Heerlen	NLD	95052
+33	Willemstad	ANT	2345
+34	Tirana	ALB	270000
+100	Paraná	ARG	207041
+102	Posadas	ARG	201273
+SELECT * FROM City
+WHERE ((ID < 50) AND (Name LIKE 'H%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 100 AND 110) AND 
+(Name LIKE 'P%' OR (Population > 103000 AND Population < 104000)));
+ID	Name	Country	Population
+1	Kabul	AFG	1780000
+2	Qandahar	AFG	237500
+3	Herat	AFG	186800
+4	Mazar-e-Sharif	AFG	127800
+7	Haag	NLD	440900
+16	Haarlem	NLD	148772
+25	Haarlemmermeer	NLD	110722
+31	Heerlen	NLD	95052
+33	Willemstad	ANT	2345
+34	Tirana	ALB	270000
+100	Paraná	ARG	207041
+102	Posadas	ARG	201273
+SELECT * FROM City USE INDEX()
+WHERE ((ID < 800) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 900 AND 1800) AND 
+(Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+ID	Name	Country	Population
+1	Kabul	AFG	1780000
+2	Qandahar	AFG	237500
+3	Herat	AFG	186800
+4	Mazar-e-Sharif	AFG	127800
+7	Haag	NLD	440900
+16	Haarlem	NLD	148772
+25	Haarlemmermeer	NLD	110722
+33	Willemstad	ANT	2345
+34	Tirana	ALB	270000
+55	Andorra la Vella	AND	21189
+56	Luanda	AGO	2022000
+57	Huambo	AGO	163100
+58	Lobito	AGO	130000
+59	Benguela	AGO	128300
+60	Namibe	AGO	118200
+61	South Hill	AIA	961
+62	The Valley	AIA	595
+64	Dubai	ARE	669181
+65	Abu Dhabi	ARE	398695
+66	Sharja	ARE	320095
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+129	Oranjestad	ABW	29034
+191	Hamilton	BMU	1200
+528	Hartlepool	GBR	92000
+529	Halifax	GBR	91069
+914	Sekondi-Takoradi	GHA	103653
+943	Palembang	IDN	1222764
+950	Padang	IDN	534474
+983	Palu	IDN	142800
+984	Pasuruan	IDN	134019
+991	Pangkal Pinang	IDN	124000
+1003	Pemalang	IDN	103500
+1004	Klaten	IDN	103300
+1007	Palangka Raya	IDN	99693
+1020	Padang Sidempuan	IDN	91200
+1045	Patna	IND	917243
+1114	Panihati	IND	275990
+1129	Patiala	IND	238368
+1142	Panipat	IND	215218
+1159	Parbhani	IND	190255
+1231	Pali	IND	136842
+1263	Pathankot	IND	123930
+1265	Palghat (Palakkad)	IND	123289
+1293	Pallavaram	IND	111866
+1319	Tellicherry (Thalassery)	IND	103579
+1339	Palayankottai	IND	97662
+1345	Patan	IND	96109
+1436	Marv Dasht	IRN	103579
+1468	Palermo	ITA	683794
+1478	Padova	ITA	211391
+1484	Parma	ITA	168717
+1530	Kingston	JAM	103962
+1747	Toda	JPN	103969
+1748	Tajimi	JPN	103171
+1785	Ibb	YEM	103300
+SELECT * FROM City
+WHERE ((ID < 800) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 900 AND 1800) AND 
+(Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+ID	Name	Country	Population
+1	Kabul	AFG	1780000
+2	Qandahar	AFG	237500
+3	Herat	AFG	186800
+4	Mazar-e-Sharif	AFG	127800
+7	Haag	NLD	440900
+16	Haarlem	NLD	148772
+25	Haarlemmermeer	NLD	110722
+33	Willemstad	ANT	2345
+34	Tirana	ALB	270000
+55	Andorra la Vella	AND	21189
+56	Luanda	AGO	2022000
+57	Huambo	AGO	163100
+58	Lobito	AGO	130000
+59	Benguela	AGO	128300
+60	Namibe	AGO	118200
+61	South Hill	AIA	961
+62	The Valley	AIA	595
+64	Dubai	ARE	669181
+65	Abu Dhabi	ARE	398695
+66	Sharja	ARE	320095
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+129	Oranjestad	ABW	29034
+191	Hamilton	BMU	1200
+528	Hartlepool	GBR	92000
+529	Halifax	GBR	91069
+914	Sekondi-Takoradi	GHA	103653
+943	Palembang	IDN	1222764
+950	Padang	IDN	534474
+983	Palu	IDN	142800
+984	Pasuruan	IDN	134019
+991	Pangkal Pinang	IDN	124000
+1003	Pemalang	IDN	103500
+1004	Klaten	IDN	103300
+1007	Palangka Raya	IDN	99693
+1020	Padang Sidempuan	IDN	91200
+1045	Patna	IND	917243
+1114	Panihati	IND	275990
+1129	Patiala	IND	238368
+1142	Panipat	IND	215218
+1159	Parbhani	IND	190255
+1231	Pali	IND	136842
+1263	Pathankot	IND	123930
+1265	Palghat (Palakkad)	IND	123289
+1293	Pallavaram	IND	111866
+1319	Tellicherry (Thalassery)	IND	103579
+1339	Palayankottai	IND	97662
+1345	Patan	IND	96109
+1436	Marv Dasht	IRN	103579
+1468	Palermo	ITA	683794
+1478	Padova	ITA	211391
+1484	Parma	ITA	168717
+1530	Kingston	JAM	103962
+1747	Toda	JPN	103969
+1748	Tajimi	JPN	103171
+1785	Ibb	YEM	103300
+SELECT * FROM City USE INDEX ()
+WHERE ((ID < 200) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 300 AND 600) AND 
+(Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+ID	Name	Country	Population
+1	Kabul	AFG	1780000
+2	Qandahar	AFG	237500
+3	Herat	AFG	186800
+4	Mazar-e-Sharif	AFG	127800
+7	Haag	NLD	440900
+16	Haarlem	NLD	148772
+25	Haarlemmermeer	NLD	110722
+33	Willemstad	ANT	2345
+34	Tirana	ALB	270000
+55	Andorra la Vella	AND	21189
+56	Luanda	AGO	2022000
+57	Huambo	AGO	163100
+58	Lobito	AGO	130000
+59	Benguela	AGO	128300
+60	Namibe	AGO	118200
+61	South Hill	AIA	961
+62	The Valley	AIA	595
+64	Dubai	ARE	669181
+65	Abu Dhabi	ARE	398695
+66	Sharja	ARE	320095
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+129	Oranjestad	ABW	29034
+191	Hamilton	BMU	1200
+339	Passo Fundo	BRA	166343
+364	Parnaíba	BRA	129756
+372	Paranaguá	BRA	126076
+379	Palmas	BRA	121919
+386	Patos de Minas	BRA	119262
+411	Guaratinguetá	BRA	103433
+412	Cachoeirinha	BRA	103240
+413	Codó	BRA	103153
+424	Passos	BRA	98570
+430	Paulo Afonso	BRA	97291
+435	Parnamirim	BRA	96210
+448	Patos	BRA	90519
+451	Palhoça	BRA	89465
+517	Oldham	GBR	103931
+SELECT * FROM City
+WHERE ((ID < 200) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+OR ((ID BETWEEN 300 AND 600) AND 
+(Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+ID	Name	Country	Population
+1	Kabul	AFG	1780000
+2	Qandahar	AFG	237500
+3	Herat	AFG	186800
+4	Mazar-e-Sharif	AFG	127800
+7	Haag	NLD	440900
+16	Haarlem	NLD	148772
+25	Haarlemmermeer	NLD	110722
+33	Willemstad	ANT	2345
+34	Tirana	ALB	270000
+55	Andorra la Vella	AND	21189
+56	Luanda	AGO	2022000
+57	Huambo	AGO	163100
+58	Lobito	AGO	130000
+59	Benguela	AGO	128300
+60	Namibe	AGO	118200
+61	South Hill	AIA	961
+62	The Valley	AIA	595
+64	Dubai	ARE	669181
+65	Abu Dhabi	ARE	398695
+66	Sharja	ARE	320095
+67	al-Ayn	ARE	225970
+68	Ajman	ARE	114395
+129	Oranjestad	ABW	29034
+191	Hamilton	BMU	1200
+339	Passo Fundo	BRA	166343
+364	Parnaíba	BRA	129756
+372	Paranaguá	BRA	126076
+379	Palmas	BRA	121919
+386	Patos de Minas	BRA	119262
+411	Guaratinguetá	BRA	103433
+412	Cachoeirinha	BRA	103240
+413	Codó	BRA	103153
+424	Passos	BRA	98570
+430	Paulo Afonso	BRA	97291
+435	Parnamirim	BRA	96210
+448	Patos	BRA	90519
+451	Palhoça	BRA	89465
+517	Oldham	GBR	103931
+EXPLAIN 
+SELECT * FROM City WHERE Population > 101000 AND Population < 102000;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	38	Using where
+EXPLAIN 
+SELECT * FROM City WHERE Population > 101000 AND Population < 110000;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	327	Using where
+EXPLAIN 
+SELECT * FROM City WHERE Country < 'C';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Country	Country	3	NULL	446	Using where
+EXPLAIN 
+SELECT * FROM City WHERE Country < 'AGO';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Country	Country	3	NULL	5	Using where
+EXPLAIN 
+SELECT * FROM City WHERE Name BETWEEN 'P' AND 'T';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ALL	Name	NULL	NULL	NULL	4249	Using where
+EXPLAIN 
+SELECT * FROM City WHERE Name BETWEEN 'P' AND 'Pb';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	71	Using where
+EXPLAIN 
+SELECT * FROM City WHERE ID BETWEEN 3400 AND 3800;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	944	Using where
+EXPLAIN 
+SELECT * FROM City WHERE ID BETWEEN 3790 AND 3800;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	11	Using where
+EXPLAIN 
+SELECT * FROM City WHERE Name LIKE 'P%';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	235	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 102000) AND
+(Country < 'C' OR Name BETWEEN 'P' AND 'T')) OR
+((ID BETWEEN 3400 AND 3800) AND 
+(Country < 'AGO' OR Name LIKE 'Pa%'));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name	Country,Name,Population	3,35,4	NULL	114	Using sort_union(Country,Name,Population); Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 110000) AND
+(Country < 'AGO' OR Name BETWEEN 'P' AND 'Pb')) OR
+((ID BETWEEN 3790 AND 3800) AND 
+(Country < 'C' OR Name LIKE 'P%'));
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name	Country,Name,PRIMARY	3,35,4	NULL	87	Using sort_union(Country,Name,PRIMARY); Using where
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 102000) AND
+(Country < 'C' OR Name BETWEEN 'P' AND 'T')) OR
+((ID BETWEEN 3400 AND 3800) AND 
+(Country < 'AGO' OR Name LIKE 'Pa%'));
+ID	Name	Country	Population
+169	Naogaon	BGD	101266
+205	Francistown	BWA	101805
+417	Itaituba	BRA	101320
+418	Araras	BRA	101046
+751	Potchefstroom	ZAF	101817
+1752	Sakata	JPN	101651
+1851	Saint John´s	CAN	101936
+1853	Saanich	CAN	101388
+2909	Puno	PER	101578
+3463	Pavlograd	UKR	127000
+4030	Sandy	USA	101853
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 102000) AND
+(Country < 'C' OR Name BETWEEN 'P' AND 'T')) OR
+((ID BETWEEN 3400 AND 3800) AND 
+(Country < 'AGO' OR Name LIKE 'Pa%'));
+ID	Name	Country	Population
+169	Naogaon	BGD	101266
+205	Francistown	BWA	101805
+417	Itaituba	BRA	101320
+418	Araras	BRA	101046
+751	Potchefstroom	ZAF	101817
+1752	Sakata	JPN	101651
+1851	Saint John´s	CAN	101936
+1853	Saanich	CAN	101388
+2909	Puno	PER	101578
+3463	Pavlograd	UKR	127000
+4030	Sandy	USA	101853
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 110000) AND
+(Country < 'AGO' OR Name BETWEEN 'P' AND 'Pb')) OR
+((ID BETWEEN 3790 AND 3800) AND 
+(Country < 'C' OR Name LIKE 'P%'));
+ID	Name	Country	Population
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+750	Paarl	ZAF	105768
+2865	Pak Pattan	PAK	107800
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 110000) AND
+(Country < 'AGO' OR Name BETWEEN 'P' AND 'Pb')) OR
+((ID BETWEEN 3790 AND 3800) AND 
+(Country < 'C' OR Name LIKE 'P%'));
+ID	Name	Country	Population
+168	Pabna	BGD	103277
+189	Parakou	BEN	103577
+750	Paarl	ZAF	105768
+2865	Pak Pattan	PAK	107800
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+CREATE INDEX CountryPopulation ON City(Country,Population);
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'Pas%';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	8	Using where
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'P%';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	235	Using where
+EXPLAIN
+SELECT * FROM City WHERE (Population > 101000 AND Population < 103000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	80	Using where
+EXPLAIN
+SELECT * FROM City WHERE Country='USA';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ref	Country,CountryPopulation	Country	3	const	274	Using where
+EXPLAIN
+SELECT * FROM City 
+WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'Pas%')
+AND Country='USA';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	Population,Country,Name,CountryPopulation	CountryPopulation,Name	7,35	NULL	17	Using sort_union(CountryPopulation,Name); Using where
+EXPLAIN
+SELECT * FROM City 
+WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'P%')
+AND Country='USA';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ref	Population,Country,Name,CountryPopulation	Country	3	const	274	Using where
+SELECT * FROM City 
+WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'Pas%')
+AND Country='USA';
+ID	Name	Country	Population
+3943	Pasadena	USA	141674
+3953	Pasadena	USA	133936
+4023	Gary	USA	102746
+4024	Berkeley	USA	102743
+4025	Santa Clara	USA	102361
+4026	Green Bay	USA	102313
+4027	Cape Coral	USA	102286
+4028	Arvada	USA	102153
+4029	Pueblo	USA	102121
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'Pas%')
+AND Country='USA';
+ID	Name	Country	Population
+3943	Pasadena	USA	141674
+3953	Pasadena	USA	133936
+4023	Gary	USA	102746
+4024	Berkeley	USA	102743
+4025	Santa Clara	USA	102361
+4026	Green Bay	USA	102313
+4027	Cape Coral	USA	102286
+4028	Arvada	USA	102153
+4029	Pueblo	USA	102121
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City 
+WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'P%')
+AND Country='USA';
+ID	Name	Country	Population
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+3820	Portland	USA	529121
+3844	Pittsburgh	USA	334563
+3870	Plano	USA	222030
+3912	Providence	USA	173618
+3930	Pomona	USA	149473
+3932	Paterson	USA	149222
+3943	Pasadena	USA	141674
+3951	Pembroke Pines	USA	137427
+3953	Pasadena	USA	133936
+3967	Paradise	USA	124682
+3986	Palmdale	USA	116670
+3996	Peoria	USA	112936
+4007	Peoria	USA	108364
+4016	Provo	USA	105166
+4023	Gary	USA	102746
+4024	Berkeley	USA	102743
+4025	Santa Clara	USA	102361
+4026	Green Bay	USA	102313
+4027	Cape Coral	USA	102286
+4028	Arvada	USA	102153
+4029	Pueblo	USA	102121
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+4035	Portsmouth	USA	100565
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'P%')
+AND Country='USA';
+ID	Name	Country	Population
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+3820	Portland	USA	529121
+3844	Pittsburgh	USA	334563
+3870	Plano	USA	222030
+3912	Providence	USA	173618
+3930	Pomona	USA	149473
+3932	Paterson	USA	149222
+3943	Pasadena	USA	141674
+3951	Pembroke Pines	USA	137427
+3953	Pasadena	USA	133936
+3967	Paradise	USA	124682
+3986	Palmdale	USA	116670
+3996	Peoria	USA	112936
+4007	Peoria	USA	108364
+4016	Provo	USA	105166
+4023	Gary	USA	102746
+4024	Berkeley	USA	102743
+4025	Santa Clara	USA	102361
+4026	Green Bay	USA	102313
+4027	Cape Coral	USA	102286
+4028	Arvada	USA	102153
+4029	Pueblo	USA	102121
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+4035	Portsmouth	USA	100565
+CREATE INDEX CountryName ON City(Country,Name);
+EXPLAIN
+SELECT * FROM City WHERE Country='USA';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ref	Country,CountryPopulation,CountryName	Country	3	const	274	Using where
+EXPLAIN
+SELECT * FROM City WHERE Country='BRA';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ref	Country,CountryPopulation,CountryName	Country	3	const	250	Using where
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 3790 AND 3800;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	11	Using where
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 4025 AND 4035;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	11	Using where
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 4028 AND 4032;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	5	Using where
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 3500 AND 3800;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	300	Using where
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 4000 AND 4300;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	80	Using where
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 250 and 260 ;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY	PRIMARY	4	NULL	11	Using where
+EXPLAIN
+SELECT * FROM City WHERE (Population > 101000 AND Population < 102000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	38	Using where
+EXPLAIN
+SELECT * FROM City WHERE (Population > 101000 AND Population < 103000);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Population	Population	4	NULL	80	Using where
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'Pa%';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	Name	Name	35	NULL	71	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name,CountryPopulation,CountryName	CountryPopulation,PRIMARY	7,4	NULL	13	Using sort_union(CountryPopulation,PRIMARY); Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 103000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4028 AND 4032);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name,CountryPopulation,CountryName	CountryName,PRIMARY	38,4	NULL	10	Using sort_union(CountryName,PRIMARY); Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 110000) OR
+ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name BETWEEN 'P' AND 'T' OR ID BETWEEN 4000 AND 4300);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	ref	PRIMARY,Population,Country,Name,CountryPopulation,CountryName	Country	3	const	274	Using where
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+ID	Name	Country	Population
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+ID	Name	Country	Population
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4028 AND 4032);
+ID	Name	Country	Population
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4028 AND 4032);
+ID	Name	Country	Population
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+ID	Name	Country	Population
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+ID	Name	Country	Population
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 and Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        OR (Name LIKE 'Pa%' OR ID BETWEEN 250 AND 260) AND Country='BRA';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	index_merge	PRIMARY,Population,Country,Name,CountryPopulation,CountryName	CountryPopulation,CountryName,PRIMARY	7,38,4	NULL	35	Using sort_union(CountryPopulation,CountryName,PRIMARY); Using where
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 and Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        OR (Name LIKE 'Pa%' OR ID BETWEEN 250 AND 260) AND Country='BRA';
+ID	Name	Country	Population
+250	Mauá	BRA	375055
+251	Carapicuíba	BRA	357552
+252	Olinda	BRA	354732
+253	Campina Grande	BRA	352497
+254	São José do Rio Preto	BRA	351944
+255	Caxias do Sul	BRA	349581
+256	Moji das Cruzes	BRA	339194
+257	Diadema	BRA	335078
+258	Aparecida de Goiânia	BRA	324662
+259	Piracicaba	BRA	319104
+260	Cariacica	BRA	319033
+285	Paulista	BRA	248473
+339	Passo Fundo	BRA	166343
+364	Parnaíba	BRA	129756
+372	Paranaguá	BRA	126076
+379	Palmas	BRA	121919
+386	Patos de Minas	BRA	119262
+424	Passos	BRA	98570
+430	Paulo Afonso	BRA	97291
+435	Parnamirim	BRA	96210
+448	Patos	BRA	90519
+451	Palhoça	BRA	89465
+3793	New York	USA	8008278
+3794	Los Angeles	USA	3694820
+3795	Chicago	USA	2896016
+3796	Houston	USA	1953631
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+3799	San Diego	USA	1223400
+3800	Dallas	USA	1188580
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+SELECT * FROM City
+WHERE ((Population > 101000 and Population < 102000) OR
+ID BETWEEN 3790 AND 3800) AND Country='USA'
+        OR (Name LIKE 'Pa%' OR ID BETWEEN 250 AND 260) AND Country='BRA';
+ID	Name	Country	Population
+285	Paulista	BRA	248473
+339	Passo Fundo	BRA	166343
+364	Parnaíba	BRA	129756
+372	Paranaguá	BRA	126076
+379	Palmas	BRA	121919
+386	Patos de Minas	BRA	119262
+424	Passos	BRA	98570
+430	Paulo Afonso	BRA	97291
+435	Parnamirim	BRA	96210
+448	Patos	BRA	90519
+451	Palhoça	BRA	89465
+4030	Sandy	USA	101853
+4031	Athens-Clarke County	USA	101489
+4032	Cambridge	USA	101355
+250	Mauá	BRA	375055
+251	Carapicuíba	BRA	357552
+252	Olinda	BRA	354732
+253	Campina Grande	BRA	352497
+254	São José do Rio Preto	BRA	351944
+255	Caxias do Sul	BRA	349581
+256	Moji das Cruzes	BRA	339194
+257	Diadema	BRA	335078
+258	Aparecida de Goiânia	BRA	324662
+259	Piracicaba	BRA	319104
+260	Cariacica	BRA	319033
+3793	New York	USA	8008278
+3794	Los Angeles	USA	3694820
+3795	Chicago	USA	2896016
+3796	Houston	USA	1953631
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+3799	San Diego	USA	1223400
+3800	Dallas	USA	1188580
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 11000) OR
+ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'P%' OR ID BETWEEN 4000 AND 4300);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY,Population,Country,Name,CountryPopulation,CountryName	CountryName	38	NULL	18	Using where
+EXPLAIN
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 11000) OR
+ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pho%' OR ID BETWEEN 4000 AND 4300);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	City	range	PRIMARY,Population,Country,Name,CountryPopulation,CountryName	Name	35	NULL	1	Using where
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 11000) OR
+ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'P%' OR ID BETWEEN 4000 AND 4300);
+ID	Name	Country	Population
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 11000) OR
+ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'P%' OR ID BETWEEN 4000 AND 4300);
+ID	Name	Country	Population
+3797	Philadelphia	USA	1517550
+3798	Phoenix	USA	1321045
+SELECT * FROM City USE INDEX ()
+WHERE ((Population > 101000 AND Population < 11000) OR
+ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pho%' OR ID BETWEEN 4000 AND 4300);
+ID	Name	Country	Population
+3798	Phoenix	USA	1321045
+SELECT * FROM City
+WHERE ((Population > 101000 AND Population < 11000) OR
+ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pho%' OR ID BETWEEN 4000 AND 4300);
+ID	Name	Country	Population
+3798	Phoenix	USA	1321045
+DROP DATABASE world;
+use test;
+CREATE TABLE t1 (
+id int(10) unsigned NOT NULL auto_increment,
+account_id int(10) unsigned NOT NULL,
+first_name varchar(50) default NULL,
+middle_name varchar(50) default NULL,
+last_name  varchar(100) default NULL,
+home_address_1 varchar(150) default NULL,
+home_city varchar(75) default NULL,
+home_state char(2) default NULL,
+home_postal_code varchar(50) default NULL,
+home_county varchar(75) default NULL,
+home_country char(3) default NULL,
+work_address_1 varchar(150) default NULL,
+work_city varchar(75) default NULL,
+work_state char(2) default NULL,
+work_postal_code varchar(50) default NULL,
+work_county varchar(75) default NULL,
+work_country char(3) default NULL,
+login varchar(50) NOT NULL,
+PRIMARY KEY  (id),
+KEY login (login,account_id),
+KEY account_id (account_id),
+KEY user_home_country_indx (home_country),
+KEY user_work_country_indx (work_country),
+KEY user_home_state_indx (home_state),
+KEY user_work_state_indx (work_state),
+KEY user_home_city_indx (home_city),
+KEY user_work_city_indx (work_city),
+KEY user_first_name_indx (first_name),
+KEY user_last_name_indx (last_name)
+);
+insert into t1(account_id, login, home_state, work_state) values
+(1, 'pw', 'ia', 'ia'), (1, 'pw', 'ia', 'ia'), (1, 'pw', 'ia', 'ia'),
+(1, 'pw', 'ia', 'ia'), (1, 'pw', 'ia', 'ia'), (1, 'pw', 'ia', 'ia');
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+select 1, 'pw', 'ak', 'ak' from t1;
+analyze table t1;
+Table	Op	Msg_type	Msg_text
+test.t1	analyze	status	OK
+select count(*) from t1 where account_id = 1;
+count(*)
+3072
+select * from t1
+where (home_state = 'ia' or work_state='ia') and account_id = 1;
+id	account_id	first_name	middle_name	last_name	home_address_1	home_city	home_state	home_postal_code	home_county	home_country	work_address_1	work_city	work_state	work_postal_code	work_county	work_country	login
+1	1	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	pw
+2	1	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	pw
+3	1	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	pw
+4	1	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	pw
+5	1	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	pw
+6	1	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	NULL	NULL	ia	NULL	NULL	NULL	pw
+explain
+select * from t1
+where (home_state = 'ia' or work_state='ia') and account_id = 1;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	account_id,user_home_state_indx,user_work_state_indx	user_home_state_indx,user_work_state_indx	3,3	NULL	10	Using union(user_home_state_indx,user_work_state_indx); Using where
+drop table t1;
+CREATE TABLE t1 (
+c1 int(11) NOT NULL auto_increment,
+c2 decimal(10,0) default NULL,
+c3 decimal(10,0) default NULL,
+c4 decimal(10,0) default NULL,
+c5 decimal(10,0) default NULL,
+cp decimal(1,0) default NULL,
+ce decimal(10,0) default NULL,
+cdata char(20),
+PRIMARY KEY  (c1),
+KEY k1 (c2,c3,cp,ce),
+KEY k2 (c4,c5,cp,ce)
+);
+insert into t1 (c2, c3, c4, c5, cp) values(1,1,1,1,1);
+insert into t1 (c2, c3, c4, c5, cp) values(2,1,1,1,4);
+insert into t1 (c2, c3, c4, c5, cp) values(2,1,2,1,1);
+insert into t1 (c2, c3, c4, c5, cp) values(2,1,3,1,4);
+insert into t1 (c2, c3, c4, c5, cp) values(3,1,4,1,4);
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+select c2, c3, c4, c5, cp from t1 where cp = 4;
+analyze table t1;
+Table	Op	Msg_type	Msg_text
+test.t1	analyze	status	OK
+explain
+select * from t1 where (c2=1 and c3=1) or (c4=2 and c5=1);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	k1,k2	k1,k2	12,12	NULL	2	Using sort_union(k1,k2); Using where
+explain
+select * from t1
+where (c2=1 and c3=1 and cp=1) or (c4=2 and c5=1 and cp=1);
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	k1,k2	k1,k2	14,14	NULL	2	Using sort_union(k1,k2); Using where
+explain
+select * from t1
+where ((c2=1 and c3=1) or (c4=2 and c5=1)) and cp=1;
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	k1,k2	k1,k2	14,14	NULL	2	Using sort_union(k1,k2); Using where
+select * from t1
+where (c2=1 and c3=1 and cp=1) or (c4=2 and c5=1 and cp=1);
+c1	c2	c3	c4	c5	cp	ce	cdata
+1	1	1	1	1	1	NULL	NULL
+3	2	1	2	1	1	NULL	NULL
+select * from t1
+where ((c2=1 and c3=1) or (c4=2 and c5=1)) and cp=1;
+c1	c2	c3	c4	c5	cp	ce	cdata
+1	1	1	1	1	1	NULL	NULL
+3	2	1	2	1	1	NULL	NULL
+drop table t1;
+create table t1 (
+c1 int auto_increment primary key,
+c2 char(20),
+c3 char (20), 
+c4 int
+);
+alter table t1 add key k1 (c2);
+alter table t1 add key k2 (c3);
+alter table t1 add key k3 (c4);
+insert into t1 values(null, 'a', 'b', 0);
+insert into t1 values(null, 'c', 'b', 0);
+insert into t1 values(null, 'a', 'd', 0);
+insert into t1 values(null, 'ccc', 'qqq', 0);
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3,c4) select c2,c3,1 from t1 where c2 != 'a';
+insert into t1 (c2,c3,c4) select c2,c3,2 from t1 where c2 != 'a';
+insert into t1 (c2,c3,c4) select c2,c3,3 from t1 where c2 != 'a';
+insert into t1 (c2,c3,c4) select c2,c3,4 from t1 where c2 != 'a';
+analyze table t1;
+Table	Op	Msg_type	Msg_text
+test.t1	analyze	status	OK
+select count(*) from t1 where (c2='e' OR c3='q');
+count(*)
+0
+select count(*) from t1 where c4 != 0;
+count(*)
+3840
+explain
+select distinct c1 from t1 where (c2='e' OR c3='q');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	k1,k2	k1,k2	21,21	NULL	2	Using union(k1,k2); Using where
+explain
+select distinct c1 from t1 where (c4!= 0) AND (c2='e' OR c3='q');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	k1,k2,k3	k1,k2	21,21	NULL	2	Using union(k1,k2); Using where
+drop table t1;
+create table t1 (
+id int unsigned auto_increment primary key,
+c1 char(12),
+c2 char(15),
+c3 char(1)
+);
+insert into t1 (c3) values ('1'), ('2');
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+update t1 set c1=lpad(id+1000, 12, ' '), c2=lpad(id+10000, 15, ' ');
+alter table t1 add unique index (c1), add unique index (c2), add index (c3);
+analyze table t1;
+Table	Op	Msg_type	Msg_text
+test.t1	analyze	status	OK
+explain
+select * from t1 where (c1='      100000' or c2='         2000000');
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	c1,c2	c1,c2	13,16	NULL	2	Using union(c1,c2); Using where
+explain
+select * from t1 where (c1='      100000' or c2='         2000000') and c3='2';
+id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
+1	SIMPLE	t1	index_merge	c1,c2,c3	c1,c2	13,16	NULL	2	Using union(c1,c2); Using where
+select * from t1 where (c1='      100000' or c2='         2000000');
+id	c1	c2	c3
+select * from t1 where (c1='      100000' or c2='         2000000') and c3='2';
+id	c1	c2	c3
+drop table t1;
+SET SESSION STORAGE_ENGINE=DEFAULT;

=== added file 'mysql-test/t/range_vs_index_merge.test'
--- a/mysql-test/t/range_vs_index_merge.test	1970-01-01 00:00:00 +0000
+++ b/mysql-test/t/range_vs_index_merge.test	2009-10-12 04:59:34 +0000
@@ -0,0 +1,805 @@
+--disable_warnings
+DROP TABLE IF EXISTS t1,t2,t3,t4;
+DROP DATABASE IF EXISTS world;
+--enable_warnings
+
+set names utf8;
+
+CREATE DATABASE world;
+
+use world;
+
+--source include/world_schema.inc
+
+--disable_query_log
+--disable_result_log
+--disable_warnings
+--source include/world.inc
+--enable_warnings
+--enable_result_log
+--enable_query_log
+
+SELECT COUNT(*) FROM Country;
+SELECT COUNT(*) FROM City;
+SELECT COUNT(*) FROM CountryLanguage;
+
+CREATE INDEX Name ON City(Name);
+
+--disable_query_log
+--disable_result_log
+--disable_warnings
+ANALYZE TABLE City;
+--enable_warnings
+--enable_result_log
+--enable_query_log
+
+# The following 4 queries are added for code coverage 
+
+EXPLAIN
+SELECT * FROM City
+  WHERE (Population >= 100000 OR Name LIKE 'P%' OR Population < 100000);
+
+EXPLAIN
+SELECT * FROM City
+  WHERE (Population >= 100000 OR Name LIKE 'P%') AND Country='CAN' OR
+        (Population < 100000 OR Name Like 'T%') AND Country='ARG';
+
+EXPLAIN
+SELECT * FROM City
+  WHERE Population < 200000 AND Name LIKE 'P%' AND
+        (Population > 300000 OR Name LIKE 'T%') AND
+        (Population < 100000 OR Name LIKE 'Pa%');
+
+EXPLAIN
+SELECT * FROM City
+  WHERE Population > 100000 AND Name LIKE 'Aba%' OR
+        Country IN ('CAN', 'ARG') AND ID < 3800 OR
+        Country < 'U' AND Name LIKE 'Zhu%' OR
+        ID BETWEEN 3800 AND 3810;
+
+# The output of the next 3 commands tells us about selectivities
+# of the conditions utilized in 2 queries following after them  
+
+EXPLAIN 
+SELECT * FROM City
+  WHERE (Population > 101000 AND Population < 115000);
+
+EXPLAIN 
+SELECT * FROM City
+  WHERE (Population > 101000 AND Population < 103000);
+
+EXPLAIN 
+SELECT * FROM City
+  WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'));
+
+# The pattern of the WHERE condition used in the following 2 queries is
+#   (range(key1) OR range(key2)) AND range(key3)
+# Varying values of the constants in the second conjunct of the condition
+# we can get either a plan with range index scan for key3 or a plan with
+# an index merge retrieval over key2 and key3
+
+EXPLAIN 
+SELECT * FROM City
+  WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+        AND (Population > 101000 AND Population < 115000);
+
+EXPLAIN 
+SELECT * FROM City
+  WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+        AND (Population > 101000 AND Population < 103000);
+
+# The following 4 queries check that the plans
+# for the previous 2 plans are valid
+
+SELECT * FROM City USE INDEX ()
+  WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+        AND (Population > 101000 AND Population < 115000);
+
+SELECT * FROM City
+  WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+        AND (Population > 101000 AND Population < 115000);
+
+SELECT * FROM City USE INDEX ()
+  WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+        AND (Population > 101000 AND Population < 103000);
+
+SELECT * FROM City
+  WHERE ((Name > 'Ca' AND Name < 'Cf') OR (Country > 'E' AND Country < 'F'))
+        AND (Population > 101000 AND Population < 103000);
+
+# The output of the next 7 commands tells us about selectivities
+# of the conditions utilized in 4 queries following after them  
+
+EXPLAIN
+SELECT  * FROM City WHERE (Name < 'Ac');
+EXPLAIN
+SELECT  * FROM City WHERE (Name < 'C');
+EXPLAIN
+SELECT  * FROM City WHERE (Country > 'A' AND Country < 'B');
+EXPLAIN
+SELECT  * FROM City WHERE (Name BETWEEN 'P' AND 'Pb');
+EXPLAIN
+SELECT  * FROM City WHERE (Name BETWEEN 'P' AND 'T');
+EXPLAIN
+SELECT  * FROM City WHERE (Population > 101000 AND Population < 110000);
+EXPLAIN
+SELECT  * FROM City WHERE (Population > 103000 AND Population < 104000);
+
+# The pattern of the WHERE condition used in the following 4 queries is
+#   (range1(key1) AND range(key2)) OR (range2(key1) AND range(key3)
+# Varying values of the constants in the range conjuncts of the condition
+# we can get: 
+#     1. a plan with range index over key1 
+#   index merge retrievals over:
+#     2. key1 and key3
+#     3. key2 and key1
+#     4. key2 and key3
+
+EXPLAIN
+SELECT  * FROM City 
+  WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+  (Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+
+EXPLAIN
+SELECT  * FROM City
+  WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+  (Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+
+EXPLAIN
+SELECT  * FROM City
+  WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+  (Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+
+EXPLAIN
+SELECT  * FROM City
+  WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+  (Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+
+# The following 8 queries check that the plans
+# for the previous 4 plans are valid
+
+SELECT  * FROM City USE INDEX ()
+  WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+  (Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+
+SELECT  * FROM City 
+  WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+  (Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+
+SELECT  * FROM City USE INDEX ()
+  WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+  (Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+
+SELECT  * FROM City
+  WHERE (Name < 'Ac' AND (Country > 'A' AND Country < 'B')) OR
+  (Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+
+SELECT  * FROM City USE INDEX ()
+  WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+  (Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+
+SELECT  * FROM City
+  WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+  (Name BETWEEN 'P' AND 'Pb' AND (Population > 101000 AND Population < 110000));
+
+SELECT  * FROM City USE INDEX ()
+  WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+  (Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+
+SELECT  * FROM City
+  WHERE (Name < 'C' AND (Country > 'A' AND Country < 'B')) OR
+  (Name BETWEEN 'P' AND 'T' AND (Population > 103000 AND Population < 104000));
+
+
+# The output of the next 6 commands tells us about selectivities
+# of the conditions utilized in 3 queries following after them  
+
+EXPLAIN
+SELECT * FROM City WHERE (ID < 50) OR (ID BETWEEN 100 AND 110);
+EXPLAIN
+SELECT * FROM City WHERE (ID < 200) OR (ID BETWEEN 300 AND 600);
+EXPLAIN
+SELECT * FROM City WHERE (ID < 600) OR (ID BETWEEN 900 AND 1800);
+EXPLAIN
+SELECT * FROM City WHERE Country > 'A' AND Country < 'ARG';
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'H%' OR Name LIKE 'P%' ;
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'Ha%' OR Name LIKE 'Pa%' ;
+
+# The pattern of the WHERE condition used in the following 3 queries is
+#   (range1(key1) AND (range1(key2) OR range(key3)) OR
+#   (range2(key1) AND (range2(key2) OR range(key4))
+# Varying values of the constants in the range predicates of the condition
+# we can get: 
+#     1. a plan with range index over key1 
+#     2. an index merge retrieval over key1, key2 and key3
+
+EXPLAIN
+SELECT * FROM City
+  WHERE ((ID < 50) AND (Name LIKE 'H%' OR (Country > 'A' AND Country < 'ARG')))
+        OR ((ID BETWEEN 100 AND 110) AND 
+            (Name LIKE 'P%' OR (Population > 103000 AND Population < 104000)));
+
+EXPLAIN
+SELECT * FROM City
+  WHERE ((ID < 800) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+        OR ((ID BETWEEN 900 AND 1800) AND 
+            (Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+
+EXPLAIN
+SELECT * FROM City
+  WHERE ((ID < 600) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+        OR ((ID BETWEEN 300 AND 600) AND 
+            (Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+
+
+# The following 6 queries check that the plans
+# for the previous 3 plans are valid
+
+SELECT * FROM City USE INDEX ()
+  WHERE ((ID < 50) AND (Name LIKE 'H%' OR (Country > 'A' AND Country < 'ARG')))
+        OR ((ID BETWEEN 100 AND 110) AND 
+            (Name LIKE 'P%' OR (Population > 103000 AND Population < 104000)));
+
+SELECT * FROM City
+  WHERE ((ID < 50) AND (Name LIKE 'H%' OR (Country > 'A' AND Country < 'ARG')))
+        OR ((ID BETWEEN 100 AND 110) AND 
+            (Name LIKE 'P%' OR (Population > 103000 AND Population < 104000)));
+
+SELECT * FROM City USE INDEX()
+  WHERE ((ID < 800) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+        OR ((ID BETWEEN 900 AND 1800) AND 
+            (Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+
+SELECT * FROM City
+  WHERE ((ID < 800) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+        OR ((ID BETWEEN 900 AND 1800) AND 
+            (Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+
+SELECT * FROM City USE INDEX ()
+  WHERE ((ID < 200) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+        OR ((ID BETWEEN 300 AND 600) AND 
+            (Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+
+SELECT * FROM City
+  WHERE ((ID < 200) AND (Name LIKE 'Ha%' OR (Country > 'A' AND Country < 'ARG')))
+        OR ((ID BETWEEN 300 AND 600) AND 
+            (Name LIKE 'Pa%' OR (Population > 103000 AND Population < 104000)));
+
+
+# The output of the next 8 commands tells us about selectivities
+# of the conditions utilized in 2 queries following after them  
+
+EXPLAIN 
+SELECT * FROM City WHERE Population > 101000 AND Population < 102000;
+EXPLAIN 
+SELECT * FROM City WHERE Population > 101000 AND Population < 110000;
+EXPLAIN 
+SELECT * FROM City WHERE Country < 'C';
+EXPLAIN 
+SELECT * FROM City WHERE Country < 'AGO';
+EXPLAIN 
+SELECT * FROM City WHERE Name BETWEEN 'P' AND 'T';
+EXPLAIN 
+SELECT * FROM City WHERE Name BETWEEN 'P' AND 'Pb';
+EXPLAIN 
+SELECT * FROM City WHERE ID BETWEEN 3400 AND 3800;
+EXPLAIN 
+SELECT * FROM City WHERE ID BETWEEN 3790 AND 3800;
+EXPLAIN 
+SELECT * FROM City WHERE Name LIKE 'P%';
+
+# The pattern of the WHERE condition used in the following 2 queries is
+#   (range(key1) AND (range1(key2) OR range1(key3)) OR
+#   (range(key4) AND (range2(key2) OR range2(key3))
+# Varying values of the constants in the range predicates of the condition
+# we can get:  
+#   index merge retrievals over:
+#     1. key1, key2 and key3
+#     2. key4, key2 and key3
+
+EXPLAIN
+SELECT * FROM City
+  WHERE ((Population > 101000 AND Population < 102000) AND
+         (Country < 'C' OR Name BETWEEN 'P' AND 'T')) OR
+        ((ID BETWEEN 3400 AND 3800) AND 
+         (Country < 'AGO' OR Name LIKE 'Pa%'));
+
+EXPLAIN
+SELECT * FROM City
+  WHERE ((Population > 101000 AND Population < 110000) AND
+         (Country < 'AGO' OR Name BETWEEN 'P' AND 'Pb')) OR
+        ((ID BETWEEN 3790 AND 3800) AND 
+         (Country < 'C' OR Name LIKE 'P%'));
+
+# The following 4 queries check that the plans
+# for the previous 2 plans are valid
+
+SELECT * FROM City USE INDEX ()
+  WHERE ((Population > 101000 AND Population < 102000) AND
+         (Country < 'C' OR Name BETWEEN 'P' AND 'T')) OR
+        ((ID BETWEEN 3400 AND 3800) AND 
+         (Country < 'AGO' OR Name LIKE 'Pa%'));
+
+SELECT * FROM City
+  WHERE ((Population > 101000 AND Population < 102000) AND
+         (Country < 'C' OR Name BETWEEN 'P' AND 'T')) OR
+        ((ID BETWEEN 3400 AND 3800) AND 
+         (Country < 'AGO' OR Name LIKE 'Pa%'));
+
+SELECT * FROM City USE INDEX ()
+  WHERE ((Population > 101000 AND Population < 110000) AND
+         (Country < 'AGO' OR Name BETWEEN 'P' AND 'Pb')) OR
+        ((ID BETWEEN 3790 AND 3800) AND 
+         (Country < 'C' OR Name LIKE 'P%'));
+
+SELECT * FROM City
+  WHERE ((Population > 101000 AND Population < 110000) AND
+         (Country < 'AGO' OR Name BETWEEN 'P' AND 'Pb')) OR
+        ((ID BETWEEN 3790 AND 3800) AND 
+         (Country < 'C' OR Name LIKE 'P%'));
+
+
+CREATE INDEX CountryPopulation ON City(Country,Population);
+
+--disable_query_log
+--disable_result_log
+--disable_warnings
+ANALYZE TABLE City;
+--enable_warnings
+--enable_result_log
+--enable_query_log
+
+# The output of the next 4 commands tells us about selectivities
+# of the conditions utilized in 2 queries following after them  
+
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'Pas%';
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'P%';
+EXPLAIN
+SELECT * FROM City WHERE (Population > 101000 AND Population < 103000);
+EXPLAIN
+SELECT * FROM City WHERE Country='USA';
+
+# The pattern of the WHERE condition used in the following 3 queries is
+#   (range(key1_p2) OR (range(key2)) AND key1_p1=c
+# Varying values of the constants in the range predicates of the condition
+# we can get: 
+#     1. a plan with range index over key1_p1 
+#     2. an index merge retrieval over: key1 and key2
+
+EXPLAIN
+SELECT * FROM City 
+  WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'Pas%')
+        AND Country='USA';
+
+EXPLAIN
+SELECT * FROM City 
+  WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'P%')
+        AND Country='USA';
+
+# The following 4 queries check that the plans
+# for the previous 2 plans are valid
+
+SELECT * FROM City 
+  WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'Pas%')
+        AND Country='USA';
+
+SELECT * FROM City USE INDEX ()
+  WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'Pas%')
+        AND Country='USA';
+
+SELECT * FROM City 
+  WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'P%')
+        AND Country='USA';
+
+SELECT * FROM City USE INDEX ()
+  WHERE ((Population > 101000 AND Population < 103000) OR Name LIKE 'P%')
+        AND Country='USA';
+
+
+CREATE INDEX CountryName ON City(Country,Name);
+
+--disable_query_log
+--disable_result_log
+--disable_warnings
+ANALYZE TABLE City;
+--enable_warnings
+--enable_result_log
+--enable_query_log
+
+# The output of the next 11 commands tells us about selectivities
+# of the conditions utilized in 3 queries following after them  
+
+EXPLAIN
+SELECT * FROM City WHERE Country='USA';
+EXPLAIN
+SELECT * FROM City WHERE Country='BRA';
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 3790 AND 3800;
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 4025 AND 4035;
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 4028 AND 4032;
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 3500 AND 3800;
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 4000 AND 4300;
+EXPLAIN
+SELECT * FROM City WHERE ID BETWEEN 250 and 260 ;
+EXPLAIN
+SELECT * FROM City WHERE (Population > 101000 AND Population < 102000);
+EXPLAIN
+SELECT * FROM City WHERE (Population > 101000 AND Population < 103000);
+EXPLAIN
+SELECT * FROM City WHERE Name LIKE 'Pa%';
+
+# The pattern of the WHERE condition used in the following 3 queries is
+#   (range(key1_p2) OR range1(key3)) AND
+#    range(key1|2_p1=c) AND 
+#   (range(key2_p2) OR range2(key3))
+# Varying values of the constants in the range conjuncts of the condition
+# we can get: 
+#     1. a plan with range index over key1|2_p1 
+#   index merge retrievals over:
+#     2. key1 and key3
+#     3. key2 and key3
+
+EXPLAIN
+SELECT * FROM City
+  WHERE ((Population > 101000 AND Population < 102000) OR
+          ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+
+EXPLAIN
+SELECT * FROM City
+  WHERE ((Population > 101000 AND Population < 103000) OR
+          ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4028 AND 4032);
+
+EXPLAIN
+SELECT * FROM City
+  WHERE ((Population > 101000 AND Population < 110000) OR
+          ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name BETWEEN 'P' AND 'T' OR ID BETWEEN 4000 AND 4300);
+
+# The following 6 queries check that the plans
+# for the previous 3 plans are valid
+
+SELECT * FROM City USE INDEX ()
+  WHERE ((Population > 101000 AND Population < 102000) OR
+          ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+
+SELECT * FROM City
+  WHERE ((Population > 101000 AND Population < 102000) OR
+          ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+
+SELECT * FROM City USE INDEX ()
+  WHERE ((Population > 101000 AND Population < 102000) OR
+          ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4028 AND 4032);
+
+SELECT * FROM City
+  WHERE ((Population > 101000 AND Population < 102000) OR
+          ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4028 AND 4032);
+
+SELECT * FROM City USE INDEX ()
+  WHERE ((Population > 101000 AND Population < 102000) OR
+          ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+
+SELECT * FROM City
+  WHERE ((Population > 101000 AND Population < 102000) OR
+          ID BETWEEN 3790 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pa%' OR ID BETWEEN 4025 AND 4035);
+
+
+# The pattern of the WHERE condition used in the following query is
+#   (range(key1_p2) OR range1(key3)) AND range(key1|2_p1=c1) AND 
+#   (range(key2_p2) OR range1(key3)) AND range(key1|2_p1=c2)
+# We get an index merge retrieval over key1, key2 and key3 for it
+
+EXPLAIN
+SELECT * FROM City
+  WHERE ((Population > 101000 and Population < 102000) OR
+          ID BETWEEN 3790 AND 3800) AND Country='USA'
+        OR (Name LIKE 'Pa%' OR ID BETWEEN 250 AND 260) AND Country='BRA';
+
+# The following 2 queries check that the plans
+# for the previous plan is valid
+
+SELECT * FROM City USE INDEX ()
+  WHERE ((Population > 101000 and Population < 102000) OR
+          ID BETWEEN 3790 AND 3800) AND Country='USA'
+        OR (Name LIKE 'Pa%' OR ID BETWEEN 250 AND 260) AND Country='BRA';
+
+SELECT * FROM City
+  WHERE ((Population > 101000 and Population < 102000) OR
+          ID BETWEEN 3790 AND 3800) AND Country='USA'
+        OR (Name LIKE 'Pa%' OR ID BETWEEN 250 AND 260) AND Country='BRA';
+
+# The pattern of the WHERE condition used in the following query is
+#   (impossible_range(key1_p2) OR range1(key3)) AND
+#    range(key1|2_p1=c1) AND 
+#   (range(key2_p2) OR range2(key3)) 
+# where range1(key3) and range2(key3) are disjoint 
+# Varying values of the constant in range predicates we get plans:
+#   1. with an index scan over key2 
+#   2. with an index scan over key4=key2_p2
+
+EXPLAIN
+SELECT * FROM City
+  WHERE ((Population > 101000 AND Population < 11000) OR
+          ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'P%' OR ID BETWEEN 4000 AND 4300);
+
+EXPLAIN
+SELECT * FROM City
+  WHERE ((Population > 101000 AND Population < 11000) OR
+          ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pho%' OR ID BETWEEN 4000 AND 4300);
+
+# The following 4 queries check that the plans
+# for the previous 2 plans are valid
+
+SELECT * FROM City USE INDEX ()
+  WHERE ((Population > 101000 AND Population < 11000) OR
+          ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'P%' OR ID BETWEEN 4000 AND 4300);
+
+SELECT * FROM City
+  WHERE ((Population > 101000 AND Population < 11000) OR
+          ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'P%' OR ID BETWEEN 4000 AND 4300);
+
+SELECT * FROM City USE INDEX ()
+  WHERE ((Population > 101000 AND Population < 11000) OR
+          ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pho%' OR ID BETWEEN 4000 AND 4300);
+
+SELECT * FROM City
+  WHERE ((Population > 101000 AND Population < 11000) OR
+          ID BETWEEN 3500 AND 3800) AND Country='USA'
+        AND (Name LIKE 'Pho%' OR ID BETWEEN 4000 AND 4300);
+
+
+DROP DATABASE world;
+
+use test;
+
+#
+# Bug #17259: a bad range scan and a good index merge plan
+#
+
+CREATE TABLE t1 (
+  id int(10) unsigned NOT NULL auto_increment,
+  account_id int(10) unsigned NOT NULL,
+  first_name varchar(50) default NULL,
+  middle_name varchar(50) default NULL,
+  last_name  varchar(100) default NULL,
+  home_address_1 varchar(150) default NULL,
+  home_city varchar(75) default NULL,
+  home_state char(2) default NULL,
+  home_postal_code varchar(50) default NULL,
+  home_county varchar(75) default NULL,
+  home_country char(3) default NULL,
+  work_address_1 varchar(150) default NULL,
+  work_city varchar(75) default NULL,
+  work_state char(2) default NULL,
+  work_postal_code varchar(50) default NULL,
+  work_county varchar(75) default NULL,
+  work_country char(3) default NULL,
+  login varchar(50) NOT NULL,
+  PRIMARY KEY  (id),
+  KEY login (login,account_id),
+  KEY account_id (account_id),
+  KEY user_home_country_indx (home_country),
+  KEY user_work_country_indx (work_country),
+  KEY user_home_state_indx (home_state),
+  KEY user_work_state_indx (work_state),
+  KEY user_home_city_indx (home_city),
+  KEY user_work_city_indx (work_city),
+  KEY user_first_name_indx (first_name),
+  KEY user_last_name_indx (last_name)
+);
+
+insert into t1(account_id, login, home_state, work_state) values
+  (1, 'pw', 'ia', 'ia'), (1, 'pw', 'ia', 'ia'), (1, 'pw', 'ia', 'ia'),
+  (1, 'pw', 'ia', 'ia'), (1, 'pw', 'ia', 'ia'), (1, 'pw', 'ia', 'ia');
+insert into t1(account_id, login, home_state, work_state)
+  select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+  select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+  select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+  select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+  select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+  select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+  select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+  select 1, 'pw', 'ak', 'ak' from t1;
+insert into t1(account_id, login, home_state, work_state)
+  select 1, 'pw', 'ak', 'ak' from t1;
+
+analyze table t1;
+
+select count(*) from t1 where account_id = 1;
+
+select * from t1
+  where (home_state = 'ia' or work_state='ia') and account_id = 1;
+
+explain
+select * from t1
+  where (home_state = 'ia' or work_state='ia') and account_id = 1;
+
+drop table t1;
+
+#
+# Bug #17673: no index merge plan if the condition for the last used
+#             index component is factored out of the or formula  
+#
+
+CREATE TABLE t1 (
+  c1 int(11) NOT NULL auto_increment,
+  c2 decimal(10,0) default NULL,
+  c3 decimal(10,0) default NULL,
+  c4 decimal(10,0) default NULL,
+  c5 decimal(10,0) default NULL,
+  cp decimal(1,0) default NULL,
+  ce decimal(10,0) default NULL,
+  cdata char(20),
+  PRIMARY KEY  (c1),
+  KEY k1 (c2,c3,cp,ce),
+  KEY k2 (c4,c5,cp,ce)
+);
+
+insert into t1 (c2, c3, c4, c5, cp) values(1,1,1,1,1);
+insert into t1 (c2, c3, c4, c5, cp) values(2,1,1,1,4);
+insert into t1 (c2, c3, c4, c5, cp) values(2,1,2,1,1);
+insert into t1 (c2, c3, c4, c5, cp) values(2,1,3,1,4);
+insert into t1 (c2, c3, c4, c5, cp) values(3,1,4,1,4);
+
+insert into t1 (c2, c3, c4, c5, cp)
+  select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+  select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+  select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+  select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+  select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+  select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+  select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+  select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+  select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+  select c2, c3, c4, c5, cp from t1 where cp = 4;
+insert into t1 (c2, c3, c4, c5, cp)
+  select c2, c3, c4, c5, cp from t1 where cp = 4;
+
+analyze table t1;
+
+explain
+  select * from t1 where (c2=1 and c3=1) or (c4=2 and c5=1);
+
+explain
+  select * from t1
+    where (c2=1 and c3=1 and cp=1) or (c4=2 and c5=1 and cp=1);
+
+explain
+  select * from t1
+    where ((c2=1 and c3=1) or (c4=2 and c5=1)) and cp=1;
+
+select * from t1
+  where (c2=1 and c3=1 and cp=1) or (c4=2 and c5=1 and cp=1);
+
+select * from t1
+  where ((c2=1 and c3=1) or (c4=2 and c5=1)) and cp=1;
+
+drop table t1;
+
+#
+# Bug #23322: a bad range scan and a good index merge plan
+#
+
+create table t1 (
+  c1 int auto_increment primary key,
+  c2 char(20),
+  c3 char (20), 
+  c4 int
+);
+alter table t1 add key k1 (c2);
+alter table t1 add key k2 (c3);
+alter table t1 add key k3 (c4);
+
+insert into t1 values(null, 'a', 'b', 0);
+insert into t1 values(null, 'c', 'b', 0);
+insert into t1 values(null, 'a', 'd', 0);
+insert into t1 values(null, 'ccc', 'qqq', 0);
+
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+insert into t1 (c2,c3) select c2,c3 from t1 where c2 != 'a';
+
+insert into t1 (c2,c3,c4) select c2,c3,1 from t1 where c2 != 'a';
+insert into t1 (c2,c3,c4) select c2,c3,2 from t1 where c2 != 'a';
+insert into t1 (c2,c3,c4) select c2,c3,3 from t1 where c2 != 'a';
+insert into t1 (c2,c3,c4) select c2,c3,4 from t1 where c2 != 'a';
+
+analyze table t1;
+
+select count(*) from t1 where (c2='e' OR c3='q');
+select count(*) from t1 where c4 != 0;
+
+explain
+  select distinct c1 from t1 where (c2='e' OR c3='q');
+
+explain
+  select distinct c1 from t1 where (c4!= 0) AND (c2='e' OR c3='q');
+
+drop table t1;
+
+#
+# Bug #30151: a bad range scan and a good index merge plan
+#
+
+create table t1 (
+  id int unsigned auto_increment primary key,
+  c1 char(12),
+  c2 char(15),
+  c3 char(1)
+);
+
+insert into t1 (c3) values ('1'), ('2');
+
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+insert into t1 (c3) select c3 from t1;
+
+update t1 set c1=lpad(id+1000, 12, ' '), c2=lpad(id+10000, 15, ' ');
+
+alter table t1 add unique index (c1), add unique index (c2), add index (c3);
+
+analyze table t1;
+
+explain
+  select * from t1 where (c1='      100000' or c2='         2000000');
+explain
+  select * from t1 where (c1='      100000' or c2='         2000000') and c3='2';
+
+select * from t1 where (c1='      100000' or c2='         2000000');
+select * from t1 where (c1='      100000' or c2='         2000000') and c3='2';
+
+drop table t1;
+
+
+
+
+

=== added file 'mysql-test/t/range_vs_index_merge_innodb.test'
--- a/mysql-test/t/range_vs_index_merge_innodb.test	1970-01-01 00:00:00 +0000
+++ b/mysql-test/t/range_vs_index_merge_innodb.test	2009-10-12 04:59:34 +0000
@@ -0,0 +1,7 @@
+--source include/have_innodb.inc
+
+SET SESSION STORAGE_ENGINE='InnoDB';
+
+--source t/range_vs_index_merge.test
+
+SET SESSION STORAGE_ENGINE=DEFAULT;

=== modified file 'sql/opt_range.cc'
--- a/sql/opt_range.cc	2009-09-09 21:59:28 +0000
+++ b/sql/opt_range.cc	2009-10-12 04:59:34 +0000
@@ -497,6 +497,11 @@ public:
 	  pos->increment_use_count(count);
     }
   }
+  void incr_refs()
+  {
+    increment_use_count(1);
+    use_count++;
+  }
   void free_tree()
   {
     for (SEL_ARG *pos=first(); pos ; pos=pos->next)
@@ -558,7 +563,100 @@ public:
 
 class SEL_IMERGE;
 
+#define CLONE_KEY1_MAYBE 1
+#define CLONE_KEY2_MAYBE 2
+#define swap_clone_flag(A) ((A & 1) << 1) | ((A & 2) >> 1)
+
 
+/*
+  While objects of the class SEL_ARG represent ranges for indexes or
+  index infixes (including ranges for index prefixes and index suffixes),
+  objects of the class SEL_TREE represent AND/OR formulas of such ranges.
+  Currently an AND/OR formula represented by a SEL_TREE object can have
+  at most three levels: 
+
+    <SEL_TREE formula> ::= 
+      [ <SEL_RANGE_TREE formula> AND ]
+      [ <SEL_IMERGE formula> [ AND <SEL_IMERGE formula> ...] ]
+
+    <SEL_RANGE_TREE formula> ::=
+      <SEL_ARG formula> [ AND  <SEL_ARG_formula> ... ]
+
+    <SEL_IMERGE formula> ::=  
+      <SEL_RANGE_TREE formula> [ OR <SEL_RANGE_TREE formula> ]
+
+  As we can see from the above definitions:
+   - SEL_RANGE_TREE formula is a conjunction of SEL_ARG formulas
+   - SEL_IMERGE formula is a disjunction of SEL_RANGE_TREE formulas
+   - SEL_TREE formula is a conjunction of a SEL_RANGE_TREE formula
+     and SEL_IMERGE formulas. 
+  It's required above that a SEL_TREE formula has at least one conjunct.
+
+  Usually we will consider normalized SEL_RANGE_TREE formulas where we use
+  TRUE as conjunct members for those indexes whose SEL_ARG trees are empty.
+  
+  We will call an SEL_TREE object simply 'tree'. 
+  The part of a tree that represents SEL_RANGE_TREE formula is called
+  'range part' of the tree while the remaining part is called 'imerge part'. 
+  If a tree contains only a range part then we call such a tree 'range tree'.
+  Components of a range tree that represent SEL_ARG formulas are called ranges.
+  If a tree does not contain any range part we call such a tree 'imerge tree'.
+  Components of the imerge part of a tree that represent SEL_IMERGE formula
+  are called imerges.
+
+  Usually we'll designate:
+    SEL_TREE formulas         by T_1,...,T_k
+    SEL_ARG formulas          by R_1,...,R_k
+    SEL_RANGE_TREE formulas   by RT_1,...,RT_k
+    SEL_IMERGE formulas       by M_1,...,M_k
+  Accordingly we'll use:
+    t_1,...,t_k - to designate trees representing T_1,...,T_k
+    r_1,...,r_k - to designate ranges representing R_1,...,R_k 
+    rt_1,...,r_tk - to designate range trees representing RT_1,...,RT_k
+    m_1,...,m_k - to designate imerges representing M_1,...,M_k
+
+  SEL_TREE objects are usually built from WHERE conditions or
+  ON expressions.
+  A SEL_TREE object always represents an inference of the condition it is
+  built from. Therefore, if a row satisfies a SEL_TREE formula it also
+  satisfies the condition it is built from.
+
+  The following transformations of tree t representing SEL_TREE formula T 
+  yield a new tree t1 thar represents an inference of T: T=>T1.  
+    (1) remove any of SEL_ARG tree from the range part of t
+    (2) remove any imerge from the tree t 
+    (3) remove any of SEL_ARG tree from any range tree contained
+        in any imerge of tree   
+ 
+  Since the basic blocks of any SEL_TREE objects are ranges, SEL_TREE
+  objects in many cases can be effectively used to filter out a big part
+  of table rows that do not satisfy WHERE/IN conditions utilizing
+  only single or multiple range index scans.
+
+  A single range index scan is constructed for a range tree that contains
+  only one SEL_ARG object for an index or an index prefix.
+  An index intersection scan can be constructed for a range tree
+  that contains several SEL_ARG objects. Currently index intersection
+  scans are constructed only for single-point ranges.
+  An index merge scan is constructed for a imerge tree that contains only
+  one imerge. If range trees of this imerge contain only single-point merges
+  than a union of index intersections can be built.
+
+  Usually the tree built by the range optimizer for a query table contains
+  more than one range in the range part, and additionally may contain some
+  imerges in the imerge part. The range optimizer evaluates all of them one
+  by one and chooses the range or the imerge that provides the cheapest
+  single or multiple range index scan of the table.  According to rules 
+  (1)-(3) this scan always filter out only those rows that do not satisfy
+  the query conditions. 
+
+  For any condition the SEL_TREE object for it is built in a bottom up
+  manner starting from the range trees for the predicates. The tree_and
+  function builds a tree for any conjunction of formulas from the trees
+  for its conjuncts. The tree_or function builds a tree for any disjunction
+  of formulas from the trees for its disjuncts.    
+*/ 
+  
 class SEL_TREE :public Sql_alloc
 {
 public:
@@ -574,7 +672,7 @@ public:
     keys_map.clear_all();
     bzero((char*) keys,sizeof(keys));
   }
-  SEL_TREE(SEL_TREE *arg, RANGE_OPT_PARAM *param);
+  SEL_TREE(SEL_TREE *arg, bool without_merges, RANGE_OPT_PARAM *param);
   /*
     Note: there may exist SEL_TREE objects with sel_tree->type=KEY and
     keys[i]=0 for all i. (SergeyP: it is not clear whether there is any
@@ -597,6 +695,9 @@ public:
   struct st_ror_scan_info **ror_scans;     /* list of ROR key scans */
   struct st_ror_scan_info **ror_scans_end; /* last ROR scan */
   /* Note that #records for each key scan is stored in table->quick_rows */
+
+  bool without_ranges() { return keys_map.is_clear_all(); }
+  bool without_imerges() { return merges.is_empty(); }
 };
 
 class RANGE_OPT_PARAM
@@ -642,6 +743,7 @@ class PARAM : public RANGE_OPT_PARAM
 {
 public:
   KEY_PART *key[MAX_KEY]; /* First key parts of keys used in the query */
+  ha_rows quick_rows[MAX_KEY];
   longlong baseflag;
   uint max_key_part, range_count;
 
@@ -669,7 +771,7 @@ class TABLE_READ_PLAN;
   class TRP_RANGE;
   class TRP_ROR_INTERSECT;
   class TRP_ROR_UNION;
-  class TRP_ROR_INDEX_MERGE;
+  class TRP_INDEX_MERGE;
   class TRP_GROUP_MIN_MAX;
 
 struct st_ror_scan_info;
@@ -708,6 +810,10 @@ static
 TABLE_READ_PLAN *get_best_disjunct_quick(PARAM *param, SEL_IMERGE *imerge,
                                          double read_time);
 static
+TABLE_READ_PLAN *merge_same_index_scans(PARAM *param, SEL_IMERGE *imerge,
+                                        TRP_INDEX_MERGE *imerge_trp,
+                                        double read_time);
+static
 TRP_GROUP_MIN_MAX *get_best_group_min_max(PARAM *param, SEL_TREE *tree);
 static double get_index_only_read_time(const PARAM* param, ha_rows records,
                                        int keynr);
@@ -721,11 +827,15 @@ static void print_ror_scans_arr(TABLE *t
 static void print_quick(QUICK_SELECT_I *quick, const key_map *needed_reg);
 #endif
 
-static SEL_TREE *tree_and(RANGE_OPT_PARAM *param,SEL_TREE *tree1,SEL_TREE *tree2);
-static SEL_TREE *tree_or(RANGE_OPT_PARAM *param,SEL_TREE *tree1,SEL_TREE *tree2);
+static SEL_TREE *tree_and(RANGE_OPT_PARAM *param,
+                          SEL_TREE *tree1, SEL_TREE *tree2);
+static SEL_TREE *tree_or(RANGE_OPT_PARAM *param,
+                         SEL_TREE *tree1,SEL_TREE *tree2);
 static SEL_ARG *sel_add(SEL_ARG *key1,SEL_ARG *key2);
-static SEL_ARG *key_or(RANGE_OPT_PARAM *param, SEL_ARG *key1, SEL_ARG *key2);
-static SEL_ARG *key_and(RANGE_OPT_PARAM *param, SEL_ARG *key1, SEL_ARG *key2,
+static SEL_ARG *key_or(RANGE_OPT_PARAM *param,
+                       SEL_ARG *key1, SEL_ARG *key2);
+static SEL_ARG *key_and(RANGE_OPT_PARAM *param,
+                        SEL_ARG *key1, SEL_ARG *key2,
                         uint clone_flag);
 static bool get_range(SEL_ARG **e1,SEL_ARG **e2,SEL_ARG *root1);
 bool get_quick_keys(PARAM *param,QUICK_RANGE_SELECT *quick,KEY_PART *key,
@@ -736,22 +846,24 @@ static bool eq_tree(SEL_ARG* a,SEL_ARG *
 static SEL_ARG null_element(SEL_ARG::IMPOSSIBLE);
 static bool null_part_in_key(KEY_PART *key_part, const uchar *key,
                              uint length);
-bool sel_trees_can_be_ored(SEL_TREE *tree1, SEL_TREE *tree2, RANGE_OPT_PARAM* param);
+static bool sel_trees_have_common_keys(RANGE_OPT_PARAM* param,
+                                       SEL_TREE *tree1, SEL_TREE *tree2, 
+                                       key_map *common_keys);
+static void eliminate_single_tree_imerges(RANGE_OPT_PARAM *param,
+                                          SEL_TREE *tree);
+
+static bool sel_trees_can_be_ored(RANGE_OPT_PARAM* param,
+                                  SEL_TREE *tree1, SEL_TREE *tree2, 
+                                  key_map *common_keys);
+static bool sel_trees_must_be_ored(RANGE_OPT_PARAM* param,
+                                   SEL_TREE *tree1, SEL_TREE *tree2,
+                                   key_map common_keys);
+static int and_range_trees(RANGE_OPT_PARAM *param,
+                           SEL_TREE *tree1, SEL_TREE *tree2,
+                           SEL_TREE *result);
+static bool remove_nonrange_trees(RANGE_OPT_PARAM *param, SEL_TREE *tree);
 
 
-/*
-  SEL_IMERGE is a list of possible ways to do index merge, i.e. it is
-  a condition in the following form:
-   (t_1||t_2||...||t_N) && (next)
-
-  where all t_i are SEL_TREEs, next is another SEL_IMERGE and no pair
-  (t_i,t_j) contains SEL_ARGS for the same index.
-
-  SEL_TREE contained in SEL_IMERGE always has merges=NULL.
-
-  This class relies on memory manager to do the cleanup.
-*/
-
 class SEL_IMERGE : public Sql_alloc
 {
   enum { PREALLOCED_TREES= 10};
@@ -768,23 +880,37 @@ public:
     trees_next(trees),
     trees_end(trees + PREALLOCED_TREES)
   {}
-  SEL_IMERGE (SEL_IMERGE *arg, RANGE_OPT_PARAM *param);
+  SEL_IMERGE (SEL_IMERGE *arg, uint cnt, RANGE_OPT_PARAM *param);
   int or_sel_tree(RANGE_OPT_PARAM *param, SEL_TREE *tree);
-  int or_sel_tree_with_checks(RANGE_OPT_PARAM *param, SEL_TREE *new_tree);
-  int or_sel_imerge_with_checks(RANGE_OPT_PARAM *param, SEL_IMERGE* imerge);
+  bool have_common_keys(RANGE_OPT_PARAM *param, SEL_TREE *tree);
+  int and_sel_tree(RANGE_OPT_PARAM *param, SEL_TREE *tree, 
+                   SEL_IMERGE *new_imerge);
+  int or_sel_tree_with_checks(RANGE_OPT_PARAM *param,
+                              SEL_TREE *new_tree,
+                              bool is_first_check_pass,
+                              bool *is_last_check_pass);
+  int or_sel_imerge_with_checks(RANGE_OPT_PARAM *param,
+                                SEL_IMERGE* imerge,
+                                bool is_first_check_pass,
+                                bool *is_last_check_pass);
 };
 
 
 /*
-  Add SEL_TREE to this index_merge without any checks,
+  Add a range tree to the range trees of this imerge 
 
-  NOTES
-    This function implements the following:
-      (x_1||...||x_N) || t = (x_1||...||x_N||t), where x_i, t are SEL_TREEs
+  SYNOPSIS
+    or_sel_tree()
+      param                  Context info for the operation         
+      tree                   SEL_TREE to add to this imerge 
+
+  DESCRIPTION 
+    The function just adds the range tree 'tree' to the range trees
+    of this imerge.
 
   RETURN
-     0 - OK
-    -1 - Out of memory.
+     0   if the operation is success
+    -1   if the function runs out memory
 */
 
 int SEL_IMERGE::or_sel_tree(RANGE_OPT_PARAM *param, SEL_TREE *tree)
@@ -809,96 +935,294 @@ int SEL_IMERGE::or_sel_tree(RANGE_OPT_PA
 
 
 /*
-  Perform OR operation on this SEL_IMERGE and supplied SEL_TREE new_tree,
-  combining new_tree with one of the trees in this SEL_IMERGE if they both
-  have SEL_ARGs for the same key.
+  Check if any of the range trees of this imerge intersects with a given tree 
 
   SYNOPSIS
-    or_sel_tree_with_checks()
-      param    PARAM from SQL_SELECT::test_quick_select
-      new_tree SEL_TREE with type KEY or KEY_SMALLER.
+    have_common_keys()
+      param    Context info for the function
+      tree     SEL_TREE intersection with the imerge range trees is checked for 
 
-  NOTES
-    This does the following:
-    (t_1||...||t_k)||new_tree =
-     either
-       = (t_1||...||t_k||new_tree)
-     or
-       = (t_1||....||(t_j|| new_tree)||...||t_k),
+  DESCRIPTION
+    The function checks whether there is any range tree rt_i in this imerge
+    such that there are some indexes for which ranges are defined in both
+    rt_i and the range part of the SEL_TREE tree.  
+    To check this the function calls the function sel_trees_have_common_keys.
 
-     where t_i, y are SEL_TREEs.
-    new_tree is combined with the first t_j it has a SEL_ARG on common
-    key with. As a consequence of this, choice of keys to do index_merge
-    read may depend on the order of conditions in WHERE part of the query.
+  RETURN 
+    TRUE    if there are such range trees in this imerge
+    FALSE   otherwise
+*/
+
+bool SEL_IMERGE::have_common_keys(RANGE_OPT_PARAM *param, SEL_TREE *tree)
+{
+  for (SEL_TREE** or_tree= trees, **bound= trees_next;
+       or_tree != bound; or_tree++)
+  {
+    key_map common_keys;
+    if (sel_trees_have_common_keys(param, *or_tree, tree, &common_keys))
+      return TRUE;
+  }
+  return FALSE;
+}
+
+
+/* 
+  Perform AND operation for this imerge and the range part of a tree
+
+  SYNOPSIS
+    and_sel_tree()
+      param           Context info for the operation
+      tree            SEL_TREE for the second operand of the operation
+      new_imerge  OUT imerge for the result of the operation
 
+  DESCRIPTION
+    This function performs AND operation for this imerge m and the
+    range part of the SEL_TREE tree rt. In other words the function
+    pushes rt into this imerge. The resulting imerge is returned in
+    the parameter new_imerge.
+    If this imerge m represent the formula
+      RT_1 OR ... OR RT_k
+    then the resulting imerge of the function represents the formula
+      (RT_1 AND RT) OR ... (RT_k AND RT)
+    The function calls the function and_range_trees to construct the
+    range tree representing (RT_i AND RT).
+    
+  NOTE
+    The function may return an empty imerge without any range trees
+         
   RETURN
-    0  OK
-    1  One of the trees was combined with new_tree to SEL_TREE::ALWAYS,
-       and (*this) should be discarded.
-   -1  An error occurred.
+     0  if the operation is a success
+    -1  otherwise: there is not enough memory to perform the operation
 */
 
-int SEL_IMERGE::or_sel_tree_with_checks(RANGE_OPT_PARAM *param, SEL_TREE *new_tree)
+int SEL_IMERGE::and_sel_tree(RANGE_OPT_PARAM *param, SEL_TREE *tree,
+                             SEL_IMERGE *new_imerge)
 {
-  for (SEL_TREE** tree = trees;
-       tree != trees_next;
-       tree++)
+  for (SEL_TREE** or_tree= trees; or_tree != trees_next; or_tree++) 
   {
-    if (sel_trees_can_be_ored(*tree, new_tree, param))
+    SEL_TREE *result= 0;
+    key_map  result_keys;
+    if (!(result= new SEL_TREE()))
+      return (-1);
+    if (!and_range_trees(param, *or_tree, tree, result))
     {
-      *tree = tree_or(param, *tree, new_tree);
-      if (!*tree)
-        return 1;
-      if (((*tree)->type == SEL_TREE::MAYBE) ||
-          ((*tree)->type == SEL_TREE::ALWAYS))
+      if (new_imerge->or_sel_tree(param, result))
+        return (-1);
+    }        
+  }
+  return 0;
+}      
+
+
+/*
+  Perform OR operation on this imerge and the range part of a tree
+
+  SYNOPSIS
+    or_sel_tree_with_checks()
+      param                  Context info for the operation         
+      tree                   SEL_TREE whose range part is to be ored 
+      is_first_check_pass    <=> the first call of the function for this imerge  
+      is_last_check_pass OUT <=> no more calls of the function for this imerge
+
+  DESCRIPTION
+    The functions performs OR operation on this imerge m and the range part
+    of the SEL_TREE tree rt. It always replaces this imerge with the result
+    of the operation.
+ 
+    The operation can be performed in two different modes: with
+    is_first_check_pass==TRUE and is_first_check_pass==FALSE, transforming
+    this imerge differently.
+
+    Given this imerge represents the formula
+      RT_1 OR ... OR RT_k:
+
+    1. In the first mode, when is_first_check_pass==TRUE :
+      1.1. If rt must be ored(see the function sel_trees_must_be_ored) with
+           some rt_j (there may be only one such range tree in the imerge)
+           then the function produces the imerge representing the formula
+             RT_1 OR ... OR (RT_j OR RT) OR ... OR RT_k,
+           where the tree for (RT_j OR RT) is built by oring the pairs
+           of SEL_ARG trees for the corresponding indexes
+      1.2. Otherwise the function produces the imerge representing the formula:
+           RT_1 OR ... OR RT_k OR RT.
+
+    2. In the second mode, when is_first_check_pass==FALSE :
+      2.1. For each rt_j in the imerge that can be ored (see the function
+           sel_trees_can_be_ored), but not must be ored, with rt the function
+           replaces rt_j for a range tree such that for each index for which
+           ranges are defined in both in rt_j and rt  the tree contains the
+           result of oring of these ranges.
+      2.2. In other cases the function does not produce any imerge.
+
+    When is_first_check==TRUE the function returns FALSE in the parameter
+    is_last_check_pass if there is no rt_j such that rt_j can be ored with rt,
+    but, at the same time, it's not true that rt_j must be ored with rt.
+    When is_first_check==FALSE the function always returns FALSE in the
+    parameter is_last_check_pass.    
+          
+  RETURN
+    1  The result of oring of rt_j and rt that must be ored returns the
+       the range tree with type==SEL_TREE::ALWAYS
+       (in this case the imerge m should be discarded)
+   -1  The function runs out of memory
+    0  in all other cases 
+*/
+
+int SEL_IMERGE::or_sel_tree_with_checks(RANGE_OPT_PARAM *param,
+                                        SEL_TREE *tree,
+                                        bool is_first_check_pass,
+                                        bool *is_last_check_pass)
+{
+  *is_last_check_pass= TRUE; 
+  for (SEL_TREE** or_tree = trees;
+       or_tree != trees_next;
+       or_tree++)
+  {
+    SEL_TREE *result= 0;
+    key_map result_keys;
+    key_map ored_keys;
+    if (sel_trees_can_be_ored(param, *or_tree, tree, &ored_keys))
+    {
+      bool must_be_ored= sel_trees_must_be_ored(param, *or_tree, tree,
+                                                ored_keys);
+      if (must_be_ored == is_first_check_pass)      {
+        result_keys.clear_all();
+        result= *or_tree;
+        for (uint key_no= 0; key_no < param->keys; key_no++)
+        {
+          if (!ored_keys.is_set(key_no))
+	  {
+            result->keys[key_no]= 0;
+	    continue;
+          }
+          SEL_ARG *key1= (*or_tree)->keys[key_no];
+          SEL_ARG *key2= tree->keys[key_no];
+          key2->incr_refs();
+          if ((result->keys[key_no]= key_or(param, key1, key2)))
+          {
+            
+            result_keys.set_bit(key_no);
+#ifdef EXTRA_DEBUG
+            if (param->alloced_sel_args < SEL_ARG::MAX_SEL_ARGS)
+	    {
+              key1= result->keys[key_no]; 
+              (key1)->test_use_count(key1);
+            }
+#endif
+          }
+        }
+      }
+      else if(is_first_check_pass) 
+        *is_last_check_pass= FALSE;
+    } 
+
+    if (result)
+    {
+      if (result_keys.is_clear_all())
+        result->type= SEL_TREE::ALWAYS;
+      *is_last_check_pass= TRUE;
+      if ((result->type == SEL_TREE::MAYBE) ||
+          (result->type == SEL_TREE::ALWAYS))
         return 1;
       /* SEL_TREE::IMPOSSIBLE is impossible here */
-      return 0;
+      result->keys_map= result_keys; 
+      *or_tree= result;
+      if (is_first_check_pass)
+        return 0;
     }
   }
+  if (!is_first_check_pass)
+    return 0;
 
-  /* New tree cannot be combined with any of existing trees. */
-  return or_sel_tree(param, new_tree);
+  if (!*is_last_check_pass && 
+      !(tree= new SEL_TREE(tree, FALSE, param)))
+    return (-1);
+  return or_sel_tree(param, tree);
 }
 
 
 /*
-  Perform OR operation on this index_merge and supplied index_merge list.
+  Perform OR operation on this imerge and and another imerge
+
+  SYNOPSIS
+    or_sel_tree_with_checks()
+      param                  Context info for the operation         
+      imerge                 The second operand of the operation 
+      is_first_check_pass    <=> the first call of the function for this imerge  
+      is_last_check_pass OUT <=> no more calls of the function for this imerge
 
+  DESCRIPTION
+    For each range tree rt from 'imerge' the function calls the method
+    SEL_IMERGE::or_sel_tree_with_checks that performs OR operation on this
+    SEL_IMERGE object m and the tree rt. The mode of the operation is
+    specified by the parameter is_first_check_pass. Each call of
+    SEL_IMERGE::or_sel_tree_with_checks transforms this SEL_IMERGE object m.
+    The function returns FALSE in the prameter is_last_check_pass if
+    at least one of the calls of SEL_IMERGE::or_sel_tree_with_checks
+    returns FALSE as the value of its last parameter. 
+    
   RETURN
-    0 - OK
-    1 - One of conditions in result is always TRUE and this SEL_IMERGE
-        should be discarded.
-   -1 - An error occurred
+    1  One of the calls of SEL_IMERGE::or_sel_tree_with_checks returns 1.
+       (in this case the imerge m should be discarded)
+   -1  The function runs out of memory
+    0  in all other cases 
 */
 
-int SEL_IMERGE::or_sel_imerge_with_checks(RANGE_OPT_PARAM *param, SEL_IMERGE* imerge)
+int SEL_IMERGE::or_sel_imerge_with_checks(RANGE_OPT_PARAM *param,
+                                          SEL_IMERGE* imerge,
+                                          bool is_first_check_pass,
+                                          bool *is_last_check_pass)
 {
+  *is_last_check_pass= TRUE;
   for (SEL_TREE** tree= imerge->trees;
        tree != imerge->trees_next;
        tree++)
   {
-    if (or_sel_tree_with_checks(param, *tree))
-      return 1;
+    uint rc;
+    bool is_last; 
+    rc= or_sel_tree_with_checks(param, *tree, is_first_check_pass, &is_last);
+    if (!is_last)
+      *is_last_check_pass= FALSE;
+    if (rc)
+      return rc;
   }
   return 0;
 }
 
 
-SEL_TREE::SEL_TREE(SEL_TREE *arg, RANGE_OPT_PARAM *param): Sql_alloc()
+/*
+  Copy constructor for SEL_TREE objects
+
+  SYNOPSIS
+    SEL_TREE
+      arg            The source tree for the constructor
+      without_merges <=> only the range part of the tree arg is copied
+      param          Context info for the operation
+
+  DESCRIPTION
+    The constructor creates a full copy of the SEL_TREE arg if
+    the prameter without_merges==FALSE. Otherwise a tree is created
+    that contains the copy only of the range part of the tree arg. 
+*/ 
+
+SEL_TREE::SEL_TREE(SEL_TREE *arg, bool without_merges,
+                   RANGE_OPT_PARAM *param): Sql_alloc()
 {
   keys_map= arg->keys_map;
   type= arg->type;
-  for (int idx= 0; idx < MAX_KEY; idx++)
+  for (uint idx= 0; idx < param->keys; idx++)
   {
     if ((keys[idx]= arg->keys[idx]))
-      keys[idx]->increment_use_count(1);
+      keys[idx]->incr_refs();
   }
 
+  if (without_merges)
+    return;
+
   List_iterator<SEL_IMERGE> it(arg->merges);
   for (SEL_IMERGE *el= it++; el; el= it++)
   {
-    SEL_IMERGE *merge= new SEL_IMERGE(el, param);
+    SEL_IMERGE *merge= new SEL_IMERGE(el, 0, param);
     if (!merge || merge->trees == merge->trees_next)
     {
       merges.empty();
@@ -909,7 +1233,23 @@ SEL_TREE::SEL_TREE(SEL_TREE *arg, RANGE_
 }
 
 
-SEL_IMERGE::SEL_IMERGE (SEL_IMERGE *arg, RANGE_OPT_PARAM *param) : Sql_alloc()
+/*
+  Copy constructor for SEL_IMERGE objects
+
+  SYNOPSIS
+    SEL_IMERGE
+      arg         The source imerge for the constructor
+      cnt         How many trees from arg are to be copied
+      param       Context info for the operation
+
+  DESCRIPTION
+    The cnt==0 then the constructor creates a full copy of the 
+    imerge arg. Otherwise only the first cnt trees of the imerge
+    are copied.
+*/ 
+
+SEL_IMERGE::SEL_IMERGE(SEL_IMERGE *arg, uint cnt,
+                       RANGE_OPT_PARAM *param) : Sql_alloc()
 {
   uint elements= (arg->trees_end - arg->trees);
   if (elements > PREALLOCED_TREES)
@@ -921,13 +1261,13 @@ SEL_IMERGE::SEL_IMERGE (SEL_IMERGE *arg,
   else
     trees= &trees_prealloced[0];
 
-  trees_next= trees;
+  trees_next= trees + (cnt ? cnt : arg->trees_next-arg->trees);
   trees_end= trees + elements;
 
-  for (SEL_TREE **tree = trees, **arg_tree= arg->trees; tree < trees_end; 
+  for (SEL_TREE **tree = trees, **arg_tree= arg->trees; tree < trees_next; 
        tree++, arg_tree++)
   {
-    if (!(*tree= new SEL_TREE(*arg_tree, param)))
+    if (!(*tree= new SEL_TREE(*arg_tree, FALSE, param)))
       goto mem_err;
   }
 
@@ -941,7 +1281,19 @@ mem_err:
 
 
 /*
-  Perform AND operation on two index_merge lists and store result in *im1.
+  Perform AND operation on two imerge lists
+
+  SYNOPSIS
+    imerge_list_and_list()
+      param             Context info for the operation         
+      im1               The first imerge list for the operation
+      im2               The second imerge list for the operation
+
+  DESCRIPTION
+    The function just appends the imerge list im2 to the imerge list im1  
+    
+  RETURN VALUE
+    none
 */
 
 inline void imerge_list_and_list(List<SEL_IMERGE> *im1, List<SEL_IMERGE> *im2)
@@ -951,73 +1303,242 @@ inline void imerge_list_and_list(List<SE
 
 
 /*
-  Perform OR operation on 2 index_merge lists, storing result in first list.
-
-  NOTES
-    The following conversion is implemented:
-     (a_1 &&...&& a_N)||(b_1 &&...&& b_K) = AND_i,j(a_i || b_j) =>
-      => (a_1||b_1).
-
-    i.e. all conjuncts except the first one are currently dropped.
-    This is done to avoid producing N*K ways to do index_merge.
+  Perform OR operation on two imerge lists
 
-    If (a_1||b_1) produce a condition that is always TRUE, NULL is returned
-    and index_merge is discarded (while it is actually possible to try
-    harder).
-
-    As a consequence of this, choice of keys to do index_merge read may depend
-    on the order of conditions in WHERE part of the query.
+  SYNOPSIS
+    imerge_list_or_list()
+      param             Context info for the operation         
+      im1               The first imerge list for the operation
+      im2               The second imerge list for the operation
+     
+  DESCRIPTION
+    Assuming that the first imerge list represents the formula
+      F1= M1_1 AND ... AND M1_k1 
+    while the second imerge list represents the formula 
+      F2= M2_1 AND ... AND M2_k2,
+    where M1_i= RT1_i_1 OR ... OR RT1_i_l1i (i in [1..k1])
+    and M2_i = RT2_i_1 OR ... OR RT2_i_l2i (i in [1..k2]),
+    the function builds a list of imerges for some formula that can be 
+    inferred from the formula (F1 OR F2).
+
+    More exactly the function builds imerges for the formula (M1_1 OR M2_1).
+    Note that
+      (F1 OR F2) = (M1_1 AND ... AND M1_k1) OR (M2_1 AND ... AND M2_k2) =
+      AND (M1_i OR M2_j) (i in [1..k1], j in [1..k2]) =>
+      M1_1 OR M2_1.
+    So (M1_1 OR M2_1) is indeed an inference formula for (F1 OR F2).
+
+    To build imerges for the formula (M1_1 OR M2_1) the function invokes,
+    possibly twice, the method SEL_IMERGE::or_sel_imerge_with_checks
+    for the imerge m1_1.
+    At its first invocation the method SEL_IMERGE::or_sel_imerge_with_checks
+    performs OR operation on the imerge m1_1 and the range tree rt2_1_1 by
+    calling SEL_IMERGE::or_sel_tree_with_checks with is_first_pass_check==TRUE.
+    The resulting imerge of the operation is ored with the next range tree of
+    the imerge m2_1. This oring continues until the last range tree from
+    m2_1 has been ored. 
+    At its second invocation the method SEL_IMERGE::or_sel_imerge_with_checks
+    performs the same sequence of OR operations, but now calling
+    SEL_IMERGE::or_sel_tree_with_checks with is_first_pass_check==FALSE.
 
+    The imerges that the operation produces replace those in the list im1   
+       
   RETURN
-    0     OK, result is stored in *im1
-    other Error, both passed lists are unusable
+    0     if the operation is a success 
+   -1     if the function has run out of memory 
 */
 
 int imerge_list_or_list(RANGE_OPT_PARAM *param,
                         List<SEL_IMERGE> *im1,
                         List<SEL_IMERGE> *im2)
 {
+
+  uint rc;
+  bool is_last_check_pass= FALSE;
+
   SEL_IMERGE *imerge= im1->head();
+  uint elems= imerge->trees_next-imerge->trees;
   im1->empty();
   im1->push_back(imerge);
 
-  return imerge->or_sel_imerge_with_checks(param, im2->head());
+  rc= imerge->or_sel_imerge_with_checks(param, im2->head(),
+                                        TRUE, &is_last_check_pass);
+  if (rc)
+  {
+    if (rc == 1)
+    {
+      im1->empty();
+      rc= 0;
+    }
+    return rc;
+  }
+
+  if (!is_last_check_pass)
+  {
+    SEL_IMERGE* new_imerge= new SEL_IMERGE(imerge, elems, param);
+    if (new_imerge)
+    {
+      is_last_check_pass= TRUE;
+      rc= new_imerge->or_sel_imerge_with_checks(param, im2->head(),
+                                                 FALSE, &is_last_check_pass);
+      if (!rc)
+        im1->push_back(new_imerge); 
+    }
+  }
+  return rc;  
 }
 
 
 /*
-  Perform OR operation on index_merge list and key tree.
+  Perform OR operation for each imerge from a list and the range part of a tree
+
+  SYNOPSIS
+    imerge_list_or_tree()
+      param       Context info for the operation
+      merges      The list of imerges to be ored with the range part of tree          
+      tree        SEL_TREE whose range part is to be ored with the imerges
+
+  DESCRIPTION
+    For each imerge mi from the list 'merges' the function performes OR
+    operation with mi and the range part of 'tree' rt, producing one or
+    two imerges.
 
+    Given the merge mi represent the formula RTi_1 OR ... OR RTi_k, 
+    the function forms the merges by the following rules:
+ 
+    1. If rt cannot be ored with any of the trees rti the function just
+       produces an imerge that represents the formula
+         RTi_1 OR ... RTi_k OR RT.
+    2. If there exist a tree rtj that must be ored with rt the function
+       produces an imerge the represents the formula
+         RTi_1 OR ... OR (RTi_j OR RT) OR ... OR RTi_k,
+       where the range tree for (RTi_j OR RT) is constructed by oring the
+       SEL_ARG trees that must be ored.
+    3. For each rti_j that can be ored with rt the function produces
+       the new tree rti_j' and substitutes rti_j for this new range tree.
+
+    In any case the function removes mi from the list and then adds all
+    produced imerges.
+
+    To build imerges by rules 1-3 the function calls the method
+    SEL_IMERGE::or_sel_tree_with_checks, possibly twice. With the first
+    call it passes TRUE for the third parameter of the function.
+    At this first call imerges by rules 1-2 are built. If the call
+    returns FALSE as the return value of its fourth parameter then the
+    function are called for the second time. At this call the imerge
+    of rule 3 is produced.
+
+    If a call of SEL_IMERGE::or_sel_tree_with_checks returns 1 then
+    then it means that the produced tree contains an always true
+    range tree and the whole imerge can be discarded.
+    
   RETURN
-    0     OK, result is stored in *im1.
-    other Error
+    1     if no imerges are produced
+    0     otherwise
 */
 
+static
 int imerge_list_or_tree(RANGE_OPT_PARAM *param,
-                        List<SEL_IMERGE> *im1,
+                        List<SEL_IMERGE> *merges,
                         SEL_TREE *tree)
 {
+
   SEL_IMERGE *imerge;
-  List_iterator<SEL_IMERGE> it(*im1);
-  bool tree_used= FALSE;
+  List<SEL_IMERGE> additional_merges;
+  List_iterator<SEL_IMERGE> it(*merges);
+  
   while ((imerge= it++))
   {
-    SEL_TREE *or_tree;
-    if (tree_used)
-    {
-      or_tree= new SEL_TREE (tree, param);
-      if (!or_tree ||
-          (or_tree->keys_map.is_clear_all() && or_tree->merges.is_empty()))
-        return FALSE;
+    bool is_last_check_pass;
+    int rc= 0;
+    int rc1= 0;
+    SEL_TREE *or_tree= new SEL_TREE (tree, FALSE, param);
+    if (or_tree)
+    {
+      uint elems= imerge->trees_next-imerge->trees;
+      rc= imerge->or_sel_tree_with_checks(param, or_tree,
+                                          TRUE, &is_last_check_pass);
+      if (!is_last_check_pass)
+      {
+        SEL_IMERGE *new_imerge= new SEL_IMERGE(imerge, elems, param);
+        if (new_imerge)
+	{ 
+          rc1= new_imerge->or_sel_tree_with_checks(param, or_tree,
+                                                   FALSE, &is_last_check_pass);
+          if (!rc1)
+            additional_merges.push_back(new_imerge);
+        }
+      }
     }
-    else
-      or_tree= tree;
-
-    if (imerge->or_sel_tree_with_checks(param, or_tree))
+    if (rc || rc1 || !or_tree)
       it.remove();
-    tree_used= TRUE;
   }
-  return im1->is_empty();
+
+  merges->concat(&additional_merges);  
+  return merges->is_empty();
+}
+
+
+/*
+  Perform pushdown operation of the range part of a tree into given imerges 
+
+  SYNOPSIS
+    imerge_list_and_tree()
+      param           Context info for the operation
+      merges   IN/OUT List of imerges to push the range part of 'tree' into
+      tree            SEL_TREE whose range part is to be pushed into imerges
+
+  DESCRIPTION
+    For each imerge from the list merges the function pushes the range part
+    rt of 'tree' into the imerge. 
+    More exactly if the imerge mi from the list represents the formula
+      RTi_1 OR ... OR RTi_k 
+    the function bulds a new imerge that represents the formula
+      (RTi_1 AND RT) OR ... OR (RTi_k AND RT)
+    and adds this imerge to the list merges.
+    To perform this pushdown operation the function calls the method
+    SEL_IMERGE::and_sel_tree. 
+    For any imerge mi the new imerge is not created if for each pair of
+    trees rti_j and rt the intersection of the indexes with defined ranges
+    is empty.
+    If the result of the pushdown operation for the imerge mi returns an
+    imerge with no trees then then not only nothing is added to the list 
+    merges but mi itself is removed from the list. 
+     
+  RETURN
+    1    if no imerges are left in the list merges             
+    0    otherwise
+*/
+
+static
+int imerge_list_and_tree(RANGE_OPT_PARAM *param,
+                         List<SEL_IMERGE> *merges,
+                         SEL_TREE *tree)
+{
+  SEL_IMERGE *imerge;
+  SEL_IMERGE *new_imerge= NULL;
+  List<SEL_IMERGE> new_merges;
+  List_iterator<SEL_IMERGE> it(*merges);
+  
+  while ((imerge= it++))
+  {
+    if (!new_imerge)
+       new_imerge= new SEL_IMERGE();
+    if (imerge->have_common_keys(param, tree) && 
+        new_imerge && !imerge->and_sel_tree(param, tree, new_imerge))
+    {
+      if (new_imerge->trees == new_imerge->trees_next)
+        it.remove();
+      else
+      {         
+        new_merges.push_back(new_imerge);
+        new_imerge= NULL;
+      }
+    }
+  }
+  imerge_list_and_list(&new_merges, merges);
+  *merges= new_merges;
+  return merges->is_empty();
 }
 
 
@@ -2367,72 +2888,73 @@ int SQL_SELECT::test_quick_select(THD *t
         It is possible to use a range-based quick select (but it might be
         slower than 'all' table scan).
       */
-      if (tree->merges.is_empty())
+      TRP_RANGE         *range_trp;
+      TRP_ROR_INTERSECT *rori_trp;
+      bool can_build_covering= FALSE;
+      
+      remove_nonrange_trees(¶m, tree);
+
+      /* Get best 'range' plan and prepare data for making other plans */
+      if ((range_trp= get_key_scans_params(¶m, tree, FALSE, TRUE,
+                                           best_read_time)))
       {
-        TRP_RANGE         *range_trp;
-        TRP_ROR_INTERSECT *rori_trp;
-        bool can_build_covering= FALSE;
-
-        /* Get best 'range' plan and prepare data for making other plans */
-        if ((range_trp= get_key_scans_params(¶m, tree, FALSE, TRUE,
-                                             best_read_time)))
-        {
-          best_trp= range_trp;
-          best_read_time= best_trp->read_cost;
-        }
+        best_trp= range_trp;
+        best_read_time= best_trp->read_cost;
+      }
 
+      /*
+        Simultaneous key scans and row deletes on several handler
+        objects are not allowed so don't use ROR-intersection for
+        table deletes.
+      */
+      if ((thd->lex->sql_command != SQLCOM_DELETE) && 
+           optimizer_flag(thd, OPTIMIZER_SWITCH_INDEX_MERGE))
+      {
         /*
-          Simultaneous key scans and row deletes on several handler
-          objects are not allowed so don't use ROR-intersection for
-          table deletes.
+          Get best non-covering ROR-intersection plan and prepare data for
+          building covering ROR-intersection.
         */
-        if ((thd->lex->sql_command != SQLCOM_DELETE) && 
-             optimizer_flag(thd, OPTIMIZER_SWITCH_INDEX_MERGE))
+        if ((rori_trp= get_best_ror_intersect(¶m, tree, best_read_time,
+                                              &can_build_covering)))
         {
+          best_trp= rori_trp;
+          best_read_time= best_trp->read_cost;
           /*
-            Get best non-covering ROR-intersection plan and prepare data for
-            building covering ROR-intersection.
+            Try constructing covering ROR-intersect only if it looks possible
+            and worth doing.
           */
-          if ((rori_trp= get_best_ror_intersect(¶m, tree, best_read_time,
-                                                &can_build_covering)))
-          {
+          if (!rori_trp->is_covering && can_build_covering &&
+              (rori_trp= get_best_covering_ror_intersect(¶m, tree,
+                                                         best_read_time)))
             best_trp= rori_trp;
-            best_read_time= best_trp->read_cost;
-            /*
-              Try constructing covering ROR-intersect only if it looks possible
-              and worth doing.
-            */
-            if (!rori_trp->is_covering && can_build_covering &&
-                (rori_trp= get_best_covering_ror_intersect(¶m, tree,
-                                                           best_read_time)))
-              best_trp= rori_trp;
-          }
         }
       }
-      else
+
+      if (optimizer_flag(thd, OPTIMIZER_SWITCH_INDEX_MERGE))
       {
-        if (optimizer_flag(thd, OPTIMIZER_SWITCH_INDEX_MERGE))
+        /* Try creating index_merge/ROR-union scan. */
+        SEL_IMERGE *imerge;
+        TABLE_READ_PLAN *best_conj_trp= NULL, *new_conj_trp;
+        LINT_INIT(new_conj_trp); /* no empty index_merge lists possible */
+        DBUG_PRINT("info",("No range reads possible,"
+                           " trying to construct index_merge"));
+        List_iterator_fast<SEL_IMERGE> it(tree->merges);
+        while ((imerge= it++))
         {
-          /* Try creating index_merge/ROR-union scan. */
-          SEL_IMERGE *imerge;
-          TABLE_READ_PLAN *best_conj_trp= NULL, *new_conj_trp;
-          LINT_INIT(new_conj_trp); /* no empty index_merge lists possible */
-          DBUG_PRINT("info",("No range reads possible,"
-                             " trying to construct index_merge"));
-          List_iterator_fast<SEL_IMERGE> it(tree->merges);
-          while ((imerge= it++))
+          new_conj_trp= get_best_disjunct_quick(¶m, imerge, best_read_time);
+          if (new_conj_trp)
+            set_if_smaller(param.table->quick_condition_rows, 
+                           new_conj_trp->records);
+          if (new_conj_trp &&
+              (!best_conj_trp || 
+               new_conj_trp->read_cost < best_conj_trp->read_cost))
           {
-            new_conj_trp= get_best_disjunct_quick(¶m, imerge, best_read_time);
-            if (new_conj_trp)
-              set_if_smaller(param.table->quick_condition_rows, 
-                             new_conj_trp->records);
-            if (!best_conj_trp || (new_conj_trp && new_conj_trp->read_cost <
-                                   best_conj_trp->read_cost))
-              best_conj_trp= new_conj_trp;
+            best_conj_trp= new_conj_trp;
+            best_read_time= best_conj_trp->read_cost;
           }
-          if (best_conj_trp)
-            best_trp= best_conj_trp;
         }
+        if (best_conj_trp)
+          best_trp= best_conj_trp;
       }
     }
 
@@ -3696,7 +4218,6 @@ TABLE_READ_PLAN *get_best_disjunct_quick
 {
   SEL_TREE **ptree;
   TRP_INDEX_MERGE *imerge_trp= NULL;
-  uint n_child_scans= imerge->trees_next - imerge->trees;
   TRP_RANGE **range_scans;
   TRP_RANGE **cur_child;
   TRP_RANGE **cpk_scan= NULL;
@@ -3716,6 +4237,26 @@ TABLE_READ_PLAN *get_best_disjunct_quick
   DBUG_ENTER("get_best_disjunct_quick");
   DBUG_PRINT("info", ("Full table scan cost: %g", read_time));
 
+  /*
+    In every tree of imerge remove SEL_ARG trees that do not make ranges.
+    Remove a tree from imerge if no SEL_ARG trees remain in it.  
+  */
+  SEL_TREE **new_trees_next= imerge->trees;
+  for (ptree= new_trees_next; ptree != imerge->trees_next; ptree++)
+  {
+    if (remove_nonrange_trees(param, *ptree))
+      continue;
+    if (ptree > new_trees_next)
+      *new_trees_next= *ptree;
+    new_trees_next++;
+  }
+  imerge->trees_next= new_trees_next;
+
+  uint n_child_scans= imerge->trees_next - imerge->trees;
+  
+  if (!n_child_scans)
+    DBUG_RETURN(NULL);
+
   if (!(range_scans= (TRP_RANGE**)alloc_root(param->mem_root,
                                              sizeof(TRP_RANGE*)*
                                              n_child_scans)))
@@ -3835,6 +4376,13 @@ TABLE_READ_PLAN *get_best_disjunct_quick
       imerge_trp->range_scans_end= range_scans + n_child_scans;
       read_time= imerge_cost;
     }
+    if (imerge_trp)
+    {
+      TABLE_READ_PLAN *trp= merge_same_index_scans(param, imerge, imerge_trp,
+                                                   read_time);
+      if (trp != imerge_trp)
+        DBUG_RETURN(trp);
+    }
   }
 
 build_ror_index_merge:
@@ -3850,6 +4398,7 @@ build_ror_index_merge:
                                         sizeof(TABLE_READ_PLAN*)*
                                         n_child_scans)))
     DBUG_RETURN(imerge_trp);
+
 skip_to_ror_scan:
   roru_index_costs= 0.0;
   roru_total_records= 0;
@@ -3933,7 +4482,116 @@ skip_to_ror_scan:
       DBUG_RETURN(roru);
     }
   }
-  DBUG_RETURN(imerge_trp);
+    DBUG_RETURN(imerge_trp);
+}
+
+
+/*
+  Merge index scans for the same indexes in an index merge plan
+
+  SYNOPSIS
+    merge_same_index_scans()
+      param           Context info for the operation
+      imerge   IN/OUT SEL_IMERGE from which imerge_trp has been extracted          
+      imerge_trp      The index merge plan where index scans for the same
+                      indexes are to be merges
+      read_time       The upper bound for the cost of the plan to be evaluated
+
+  DESRIPTION
+    For the given index merge plan imerge_trp extracted from the SEL_MERGE
+    imerge the function looks for range scans with the same indexes and merges
+    them into SEL_ARG trees. Then for each such SEL_ARG tree r_i the function
+    creates a range tree rt_i that contains only r_i. All rt_i are joined
+    into one index merge that replaces the original index merge imerge.
+    The function calls get_best_disjunct_quick for the new index merge to
+    get a new index merge plan that contains index scans only for different
+    indexes.
+    If there are no index scans for the same index in the original index
+    merge plan the function does not change the original imerge and returns
+    imerge_trp as its result.
+
+  RETURN
+    The original or or improved index merge plan                        
+*/
+
+static
+TABLE_READ_PLAN *merge_same_index_scans(PARAM *param, SEL_IMERGE *imerge,
+                                        TRP_INDEX_MERGE *imerge_trp,
+                                        double read_time)
+{
+  uint16 first_scan_tree_idx[MAX_KEY];
+  SEL_TREE **tree;
+  TRP_RANGE **cur_child;
+  uint removed_cnt= 0;
+
+  DBUG_ENTER("merge_same_index_scans");
+
+  bzero(first_scan_tree_idx, sizeof(first_scan_tree_idx[0])*param->keys);
+
+  for (tree= imerge->trees, cur_child= imerge_trp->range_scans;
+       tree != imerge->trees_next;
+       tree++, cur_child++)
+  {
+    DBUG_ASSERT(tree);
+    uint key_idx= (*cur_child)->key_idx;
+    uint16 *tree_idx_ptr= &first_scan_tree_idx[key_idx];
+    if (!*tree_idx_ptr)
+      *tree_idx_ptr= (uint16) (tree-imerge->trees+1);
+    else
+    {
+      SEL_TREE **changed_tree= imerge->trees+(*tree_idx_ptr-1);
+      SEL_ARG *key= (*changed_tree)->keys[key_idx];
+      bzero((*changed_tree)->keys,
+            sizeof((*changed_tree)->keys[0])*param->keys);
+      (*changed_tree)->keys_map.clear_all();
+      if (((*changed_tree)->keys[key_idx]=
+             key_or(param, key, (*tree)->keys[key_idx])))
+        (*changed_tree)->keys_map.set_bit(key_idx);
+      *tree= NULL;
+      removed_cnt++;
+    }
+  }
+  if (!removed_cnt)
+    DBUG_RETURN(imerge_trp);
+
+  TABLE_READ_PLAN *trp= NULL;
+  SEL_TREE **new_trees_next= imerge->trees;
+  for (tree= new_trees_next; tree != imerge->trees_next; tree++)
+  {
+    if (!*tree)
+      continue;
+    if (tree > new_trees_next)
+      *new_trees_next= *tree;
+    new_trees_next++;
+  }
+  imerge->trees_next= new_trees_next;
+
+  DBUG_ASSERT(imerge->trees_next>imerge->trees);
+
+  if (imerge->trees_next-imerge->trees > 1)
+    trp= get_best_disjunct_quick(param, imerge, read_time);
+  else
+  {
+    /*
+      This alternative theoretically can be reached when the cost
+      of the index merge for such a formula as
+        (key1 BETWEEN c1_1 AND c1_2) AND key2 > c2 OR
+        (key1 BETWEEN c1_3 AND c1_4) AND key3 > c3
+      is estimated as being cheaper than the cost of index scan for
+      the formula
+        (key1 BETWEEN c1_1 AND c1_2) OR (key1 BETWEEN c1_3 AND c1_4)
+      
+      In the current code this may happen for two reasons:
+      1. for a single index range scan data records are accessed in
+         a random order
+      2. the functions that estimate the cost of a range scan and an
+         index merge retrievals are not well calibrated
+    */
+    trp= get_key_scans_params(param, *imerge->trees, FALSE, TRUE,
+                              read_time);
+  }
+
+  DBUG_RETURN(trp); 
 }
 
 
@@ -4029,7 +4687,7 @@ ROR_SCAN_INFO *make_ror_scan(const PARAM
   ror_scan->key_rec_length= (param->table->key_info[keynr].key_length +
                              param->table->file->ref_length);
   ror_scan->sel_arg= sel_arg;
-  ror_scan->records= param->table->quick_rows[keynr];
+  ror_scan->records= param->quick_rows[keynr];
 
   if (!(bitmap_buf= (my_bitmap_map*) alloc_root(param->mem_root,
                                                 param->fields_bitmap_size)))
@@ -4049,7 +4707,7 @@ ROR_SCAN_INFO *make_ror_scan(const PARAM
       bitmap_set_bit(&ror_scan->covered_fields, key_part->fieldnr-1);
   }
   ror_scan->index_read_cost=
-    get_index_only_read_time(param, param->table->quick_rows[ror_scan->keynr],
+    get_index_only_read_time(param, param->quick_rows[ror_scan->keynr],
                              ror_scan->keynr);
   DBUG_RETURN(ror_scan);
 }
@@ -4335,7 +4993,7 @@ static double ror_scan_selectivity(const
   }
   if (!prev_covered)
   {
-    double tmp= rows2double(info->param->table->quick_rows[scan->keynr]) /
+    double tmp= rows2double(info->param->quick_rows[scan->keynr]) /
                 rows2double(prev_records);
     DBUG_PRINT("info", ("Selectivity multiplier: %g", tmp));
     selectivity_mult *= tmp;
@@ -4414,7 +5072,7 @@ static bool ror_intersect_add(ROR_INTERS
   }
   else
   {
-    info->index_records += info->param->table->quick_rows[ror_scan->keynr];
+    info->index_records += info->param->quick_rows[ror_scan->keynr];
     info->index_scan_costs += ror_scan->index_read_cost;
     bitmap_union(&info->covered_fields, &ror_scan->covered_fields);
     if (!info->is_covering && bitmap_is_subset(&info->param->needed_fields,
@@ -6044,13 +6702,138 @@ sel_add(SEL_ARG *key1,SEL_ARG *key2)
   return root;
 }
 
-#define CLONE_KEY1_MAYBE 1
-#define CLONE_KEY2_MAYBE 2
-#define swap_clone_flag(A) ((A & 1) << 1) | ((A & 2) >> 1)
 
+/* 
+  Build a range tree for the conjunction of the range parts of two trees
 
-static SEL_TREE *
-tree_and(RANGE_OPT_PARAM *param,SEL_TREE *tree1,SEL_TREE *tree2)
+  SYNOPSIS
+    and_range_trees()
+      param           Context info for the operation
+      tree1           SEL_TREE for the first conjunct          
+      tree2           SEL_TREE for the second conjunct
+      result          SEL_TREE for the result
+
+  DESCRIPTION
+    This function takes range parts of two trees tree1 and tree2 and builds
+    a range tree for the conjunction of the formulas that these two range parts
+    represent.
+    More exactly: 
+    if the range part of tree1 represents the normalized formula 
+      R1_1 AND ... AND R1_k,
+    and the range part of tree2 represents the normalized formula
+      R2_1 AND ... AND R2_k,
+    then the range part of the result represents the formula:
+     RT = R_1 AND ... AND R_k, where R_i=(R1_i AND R2_i) for each i from [1..k]
+
+    The function assumes that tree1 is never equal to tree2. At the same
+    time the tree result can be the same as tree1 (but never as tree2).
+    If result==tree1 then rt replaces the range part of tree1 leaving
+    imerges as they are.
+    if result!=tree1 than it is assumed that the SEL_ARG trees in tree1 and
+    tree2 should be preserved. Otherwise they can be destroyed.
+
+  RETURN 
+    1    if the type the result tree is  SEL_TREE::IMPOSSIBLE
+    0    otherwise    
+*/
+
+static
+int and_range_trees(RANGE_OPT_PARAM *param, SEL_TREE *tree1, SEL_TREE *tree2,
+                    SEL_TREE *result)
+{
+  DBUG_ENTER("and_ranges");
+  key_map  result_keys;
+  result_keys.clear_all();
+  key_map anded_keys= tree1->keys_map;
+  anded_keys.merge(tree2->keys_map);
+  int key_no;
+  key_map::Iterator it(anded_keys);
+  while ((key_no= it++) != key_map::Iterator::BITMAP_END)
+  {
+    uint flag=0;
+    SEL_ARG *key1= tree1->keys[key_no];
+    SEL_ARG *key2= tree2->keys[key_no];
+    if (key1 && !key1->simple_key())
+      flag|= CLONE_KEY1_MAYBE;
+    if (key2 && !key2->simple_key())
+      flag|=CLONE_KEY2_MAYBE;
+    if (result != tree1)
+    { 
+      if (key1)
+        key1->incr_refs();
+      if (key2)
+        key2->incr_refs();
+    }
+    SEL_ARG *key;
+    if ((result->keys[key_no]= key =key_and(param, key1, key2, flag)))
+    {
+      if (key && key->type == SEL_ARG::IMPOSSIBLE)
+      {
+	result->type= SEL_TREE::IMPOSSIBLE;
+        DBUG_RETURN(1);
+      }
+      result_keys.set_bit(key_no);
+#ifdef EXTRA_DEBUG
+      if (param->alloced_sel_args < SEL_ARG::MAX_SEL_ARGS) 
+        key->test_use_count(key);
+#endif
+    }
+  }
+  result->keys_map= result_keys;
+  DBUG_RETURN(0);
+}
+  
+
+/*
+  Build a SEL_TREE for a conjunction out of such trees for the conjuncts
+
+  SYNOPSIS
+    tree_and()
+      param           Context info for the operation
+      tree1           SEL_TREE for the first conjunct          
+      tree2           SEL_TREE for the second conjunct
+
+  DESCRIPTION
+    This function builds a tree for the formula (A AND B) out of the trees
+    tree1 and tree2 that has been built for the formulas A and B respectively.
+
+    In a general case
+      tree1 represents the formula RT1 AND MT1,
+        where RT1 = R1_1 AND ... AND R1_k1, MT1=M1_1 AND ... AND M1_l1;
+      tree2 represents the formula RT2 AND MT2 
+        where RT2 = R2_1 AND ... AND R2_k2, MT2=M2_1 and ... and M2_l2.
+
+    The result tree will represent the formula of the the following structure:
+      RT AND MT1 AND MT2 AND RT1MT2 AND RT2MT1, such that
+        rt is a tree obtained by range intersection of trees tree1 and tree2,
+        RT1MT2 = RT1M2_1 AND ... AND RT1M2_l2,
+        RT2MT1 = RT2M1_1 AND ... AND RT2M1_l1,
+        where rt1m2_i (i=1,...,l2) is the result of the pushdown operation
+        of range tree rt1 into imerge m2_i, while rt2m1_j (j=1,...,l1) is the
+        result of the pushdown operation of range tree rt2 into imerge m1_j.
+
+    RT1MT2/RT2MT is empty if MT2/MT1 is empty.
+ 
+    The range intersection of two range trees is produced by the function
+    and_range_trees. The pushdown of a range tree to a imerge is performed
+    by the function imerge_list_and_tree. This function may produce imerges
+    containing only one range tree. Such trees are intersected with rt and 
+    the result of intersection is returned as the range part of the result
+    tree, while the corresponding imerges are removed altogether from its
+    imerge part. 
+    
+  NOTE.
+    The pushdown operation of range trees into imerges is needed to be able
+    to construct valid imerges for the condition like this:
+      key1_p1=c1 AND (key1_p2 BETWEEN c21 AND c22 OR key2 < c2)
+
+  RETURN
+    The result tree, if a success
+    0 - otherwise.        
+*/
+
+static 
+SEL_TREE *tree_and(RANGE_OPT_PARAM *param, SEL_TREE *tree1, SEL_TREE *tree2)
 {
   DBUG_ENTER("tree_and");
   if (!tree1)
@@ -6072,87 +6855,208 @@ tree_and(RANGE_OPT_PARAM *param,SEL_TREE
     tree1->type=SEL_TREE::KEY_SMALLER;
     DBUG_RETURN(tree1);
   }
-  key_map  result_keys;
-  result_keys.clear_all();
-  
-  /* Join the trees key per key */
-  SEL_ARG **key1,**key2,**end;
-  for (key1= tree1->keys,key2= tree2->keys,end=key1+param->keys ;
-       key1 != end ; key1++,key2++)
+
+  if (!tree1->merges.is_empty())
+    imerge_list_and_tree(param, &tree1->merges, tree2);
+  if (!tree2->merges.is_empty())
+    imerge_list_and_tree(param, &tree2->merges, tree1);
+  if (and_range_trees(param, tree1, tree2, tree1))
+    DBUG_RETURN(tree1);
+  imerge_list_and_list(&tree1->merges, &tree2->merges);
+  eliminate_single_tree_imerges(param, tree1);
+  DBUG_RETURN(tree1);
+}
+
+
+/*
+  Eliminate single tree imerges in a SEL_TREE objects
+
+  SYNOPSIS
+    eliminate_single_tree_imerges()
+      param      Context info for the function
+      tree       SEL_TREE where single tree imerges are to be eliminated 
+
+  DESCRIPTION
+    For each imerge in 'tree' that contains only one disjunct tree, i.e.
+    for any imerge of the form m=rt, the function performs and operation
+    the range part of tree, replaces rt the with the result of anding and
+    removes imerge m from the the merge part of 'tree'.
+
+  RETURN VALUE
+    none          
+*/
+
+static
+void eliminate_single_tree_imerges(RANGE_OPT_PARAM *param, SEL_TREE *tree)
+{
+  SEL_IMERGE *imerge;
+  List<SEL_IMERGE> merges= tree->merges;
+  List_iterator<SEL_IMERGE> it(merges);
+  tree->merges.empty();
+  while ((imerge= it++))
   {
-    uint flag=0;
-    if (*key1 || *key2)
+    if (imerge->trees+1 == imerge->trees_next)
     {
-      if (*key1 && !(*key1)->simple_key())
-	flag|=CLONE_KEY1_MAYBE;
-      if (*key2 && !(*key2)->simple_key())
-	flag|=CLONE_KEY2_MAYBE;
-      *key1=key_and(param, *key1, *key2, flag);
-      if (*key1 && (*key1)->type == SEL_ARG::IMPOSSIBLE)
-      {
-	tree1->type= SEL_TREE::IMPOSSIBLE;
-        DBUG_RETURN(tree1);
-      }
-      result_keys.set_bit(key1 - tree1->keys);
-#ifdef EXTRA_DEBUG
-        if (*key1 && param->alloced_sel_args < SEL_ARG::MAX_SEL_ARGS) 
-          (*key1)->test_use_count(*key1);
-#endif
+      tree= tree_and(param, tree, *imerge->trees);
+      it.remove();
     }
   }
-  tree1->keys_map= result_keys;
-  /* dispose index_merge if there is a "range" option */
-  if (!result_keys.is_clear_all())
-  {
-    tree1->merges.empty();
-    DBUG_RETURN(tree1);
-  }
+  tree->merges= merges;
+} 
 
-  /* ok, both trees are index_merge trees */
-  imerge_list_and_list(&tree1->merges, &tree2->merges);
-  DBUG_RETURN(tree1);
+
+/*
+  For two trees check that there are indexes with ranges in both of them  
+ 
+  SYNOPSIS
+    sel_trees_have_common_keys()
+      param           Context info for the function
+      tree1           SEL_TREE for the first tree
+      tree2           SEL_TREE for the second tree
+      common_keys OUT bitmap of all indexes with ranges in both trees
+
+  DESCRIPTION
+    For two trees tree1 and tree1 the function checks if there are indexes
+    in their range parts such that SEL_ARG trees are defined for them in the
+    range parts of both trees. The function returns the bitmap of such 
+    indexes in the parameter common_keys.
+
+  RETURN 
+    TRUE    if there are such indexes (common_keys is nor empty)
+    FALSE   otherwise
+*/
+
+static
+bool sel_trees_have_common_keys(RANGE_OPT_PARAM* param,
+                                SEL_TREE *tree1, SEL_TREE *tree2, 
+                                key_map *common_keys)
+{
+  *common_keys= tree1->keys_map;
+  common_keys->intersect(tree2->keys_map);
+  return !common_keys->is_clear_all();
 }
 
 
 /*
-  Check if two SEL_TREES can be combined into one (i.e. a single key range
-  read can be constructed for "cond_of_tree1 OR cond_of_tree2" ) without
-  using index_merge.
+  Check whether range parts of two trees can be ored for some indexes
+
+  SYNOPSIS
+    sel_trees_can_be_ored()
+      param              Context info for the function
+      tree1              SEL_TREE for the first tree
+      tree2              SEL_TREE for the second tree
+      common_keys IN/OUT IN: bitmap of all indexes with SEL_ARG in both trees
+                        OUT: bitmap of all indexes that can be ored
+
+  DESCRIPTION
+    For two trees tree1 and tree2 and the bitmap common_keys containing
+    bits for indexes that have SEL_ARG trees in range parts of both trees
+    the function checks if there are indexes for which SEL_ARG trees can
+    be ored. Two SEL_ARG trees for the same index can be ored if the most
+    major components of the index used in these trees coincide. If the 
+    SEL_ARG trees for an index cannot be ored the function clears the bit
+    for this index in the bitmap common_keys.
+
+    The function does not verify that indexes marked in common_keys really
+    have SEL_ARG trees in both tree1 and tree2. It assumes that this is true.
+
+  NOTE
+    The function sel_trees_can_be_ored is usually used in pair with the
+    function sel_trees_have_common_keys.
+
+  RETURN
+    TRUE    if there are indexes for which SEL_ARG trees can be ored 
+    FALSE   otherwise
 */
 
-bool sel_trees_can_be_ored(SEL_TREE *tree1, SEL_TREE *tree2, 
-                           RANGE_OPT_PARAM* param)
+static
+bool sel_trees_can_be_ored(RANGE_OPT_PARAM* param,
+                           SEL_TREE *tree1, SEL_TREE *tree2, 
+                           key_map *common_keys)
 {
-  key_map common_keys= tree1->keys_map;
   DBUG_ENTER("sel_trees_can_be_ored");
-  common_keys.intersect(tree2->keys_map);
+  if (!sel_trees_have_common_keys(param, tree1, tree2, common_keys))
+    DBUG_RETURN(FALSE);
+  int key_no;
+  key_map::Iterator it(*common_keys);
+  while ((key_no= it++) != key_map::Iterator::BITMAP_END)
+  {
+    DBUG_ASSERT(tree1->keys[key_no] && tree2->keys[key_no]);
+    /* Trees have a common key, check if they refer to the same key part */
+    if (tree1->keys[key_no]->part != tree2->keys[key_no]->part)
+      common_keys->clear_bit(key_no);
+  }
+  DBUG_RETURN(!common_keys->is_clear_all());
+}
+
+/*
+  Check whether range parts of two trees must be ored for some indexes
 
-  if (common_keys.is_clear_all())
+  SYNOPSIS
+    sel_trees_must_be_ored()
+      param              Context info for the function
+      tree1              SEL_TREE for the first tree
+      tree2              SEL_TREE for the second tree
+      ordable_keys       bitmap of SEL_ARG trees that can be ored
+
+  DESCRIPTION
+    For two trees tree1 and tree2 and the bitmap ordable_keys containing
+    bits for indexes that have SEL_ARG trees in range parts of both trees
+    and these SEL_ARG trees can be ored the function checks if there are
+    indexes for which SEL_ARG trees must be ored. Two SEL_ARG trees for the
+    same index must be ored if all indexes for which SEL_SRG trees from the
+    range parts of tree1 anf tree2 that can be ored have the same field as 
+    their major index component. 
+
+  NOTE
+    The function sel_trees_must_be_ored as a rule is used in pair with the
+    function sel_trees_can_be_ored.
+
+  RETURN
+    TRUE    if there are indexes for which SEL_ARG trees must be ored 
+    FALSE   otherwise
+*/
+
+static
+bool sel_trees_must_be_ored(RANGE_OPT_PARAM* param,
+                            SEL_TREE *tree1, SEL_TREE *tree2,
+                            key_map oredable_keys)
+{
+  key_map tmp;
+  DBUG_ENTER("sel_trees_must_be_ored");
+
+  tmp= tree1->keys_map;
+  tmp.merge(tree2->keys_map);
+  tmp.subtract(oredable_keys);
+  if (!tmp.is_clear_all())
     DBUG_RETURN(FALSE);
 
-  /* trees have a common key, check if they refer to same key part */
-  SEL_ARG **key1,**key2;
-  for (uint key_no=0; key_no < param->keys; key_no++)
+  Field *field= 0;
+  uint part;
+  int key_no;
+  key_map::Iterator it(oredable_keys);
+  while ((key_no= it++) != key_map::Iterator::BITMAP_END)
   {
-    if (common_keys.is_set(key_no))
+    SEL_ARG *key1= tree1->keys[key_no];
+    if (!field)
     {
-      key1= tree1->keys + key_no;
-      key2= tree2->keys + key_no;
-      if ((*key1)->part == (*key2)->part)
-      {
-        DBUG_RETURN(TRUE);
-      }
+      field= key1->field;
+      part= key1->part;
     }
+    else if (!field->eq(key1->field))
+      DBUG_RETURN(FALSE);
   }
-  DBUG_RETURN(FALSE);
-}
+  DBUG_RETURN(TRUE);
+}  
 
 
 /*
-  Remove the trees that are not suitable for record retrieval.
+  Remove the trees that are not suitable for record retrieval
+
   SYNOPSIS
-    param  Range analysis parameter
-    tree   Tree to be processed, tree->type is KEY or KEY_SMALLER
+    remove_nonrange_trees()
+      param  Context info for the function
+      tree   Tree to be processed, tree->type is KEY or KEY_SMALLER
  
   DESCRIPTION
     This function walks through tree->keys[] and removes the SEL_ARG* trees
@@ -6163,41 +7067,34 @@ bool sel_trees_can_be_ored(SEL_TREE *tre
 
     A SEL_ARG* tree cannot be used to construct quick select if it has
     tree->part != 0. (e.g. it could represent "keypart2 < const").
-
-    WHY THIS FUNCTION IS NEEDED
     
     Normally we allow construction of SEL_TREE objects that have SEL_ARG
-    trees that do not allow quick range select construction. For example for
-    " keypart1=1 AND keypart2=2 " the execution will proceed as follows:
+    trees that do not allow quick range select construction.
+    For example:
+    for " keypart1=1 AND keypart2=2 " the execution will proceed as follows:
     tree1= SEL_TREE { SEL_ARG{keypart1=1} }
     tree2= SEL_TREE { SEL_ARG{keypart2=2} } -- can't make quick range select
                                                from this
     call tree_and(tree1, tree2) -- this joins SEL_ARGs into a usable SEL_ARG
                                    tree.
-    
-    There is an exception though: when we construct index_merge SEL_TREE,
-    any SEL_ARG* tree that cannot be used to construct quick range select can
-    be removed, because current range analysis code doesn't provide any way
-    that tree could be later combined with another tree.
-    Consider an example: we should not construct
-    st1 = SEL_TREE { 
-      merges = SEL_IMERGE { 
-                            SEL_TREE(t.key1part1 = 1), 
-                            SEL_TREE(t.key2part2 = 2)   -- (*)
-                          } 
-                   };
-    because 
-     - (*) cannot be used to construct quick range select, 
-     - There is no execution path that would cause (*) to be converted to 
-       a tree that could be used.
-
-    The latter is easy to verify: first, notice that the only way to convert
-    (*) into a usable tree is to call tree_and(something, (*)).
-
-    Second look at what tree_and/tree_or function would do when passed a
-    SEL_TREE that has the structure like st1 tree has, and conlcude that 
-    tree_and(something, (*)) will not be called.
 
+    Another example:
+    tree3= SEL_TREE { SEL_ARG{key1part1 = 1} }
+    tree4= SEL_TREE { SEL_ARG{key2part2 = 2} }  -- can't make quick range select
+                                               from this
+    call tree_or(tree3, tree4) -- creates a SEL_MERGE ot of which no index
+    merge can be constructed, but it is potentially useful, as anding it with
+    tree5= SEL_TREE { SEL_ARG{key2part1 = 3} } creates an index merge that
+    represents the formula
+      key1part1=1 AND key2part1=3 OR key2part1=3 AND key2part2=2 
+    for which an index merge can be built. 
+
+    Any final SEL_TREE may contains SEL_ARG trees for which no quick select
+    can be built. Such SEL_ARG trees should be removed from the range part
+    before different range scans are evaluated. Such SEL_ARG trees also should
+    be removed from all range trees of each index merge before different
+    possible index merge plans are evaluated.  
+       
   RETURN
     0  Ok, some suitable trees left
     1  No tree->keys[] left.
@@ -6223,6 +7120,74 @@ static bool remove_nonrange_trees(RANGE_
 }
 
 
+/*
+  Build a SEL_TREE for a disjunction out of such trees for the disjuncts
+
+  SYNOPSIS
+    tree_or()
+      param           Context info for the operation
+      tree1           SEL_TREE for the first disjunct          
+      tree2           SEL_TREE for the second disjunct
+
+  DESCRIPTION
+    This function builds a tree for the formula (A OR B) out of the trees
+    tree1 and tree2 that has been built for the formulas A and B respectively.
+
+    In a general case
+      tree1 represents the formula RT1 AND MT1,
+        where RT1=R1_1 AND ... AND R1_k1, MT1=M1_1 AND ... AND M1_l1;
+      tree2 represents the formula RT2 AND MT2 
+        where RT2=R2_1 AND ... AND R2_k2, MT2=M2_1 and ... and M2_l2.
+
+    The function constructs the result tree according the formula
+      (RT1 OR RT2) AND (MT1 OR RT1) AND (MT2 OR RT2) AND (MT1 OR MT2)
+    that is equivalent to the formula (RT1 AND MT1) OR (RT2 AND MT2).
+
+    To limit the number of produced imerges the function considers
+    a weaker formula than the original one:
+      (RT1 AND M1_1) OR (RT2 AND M2_1) 
+    that is equivalent to:
+      (RT1 OR RT2)                  (1)
+        AND 
+      (M1_1 OR M2_1)                (2)
+        AND
+      (M1_1 OR RT2)                 (3)
+        AND
+      (M2_1 OR RT1)                 (4)
+
+    For the first conjunct (1) the function builds a tree with a range part
+    and, possibly, one imerge. For the other conjuncts (2-4)the function
+    produces sets of imerges. All constructed imerges are included into the
+    result tree.
+    
+    For the formula (1) the function produces the tree representing a formula  
+    of the structure RT [AND M], such that:
+     - the range tree rt contains the result of oring SEL_ARG trees from rt1
+       and rt2
+     - the imerge m consists of two range trees rt1 and rt2.
+    The imerge m is added if it's not true that rt1 and rt2 must be ored
+    If rt1 and rt2 can't be ored rt is empty and only m is produced for (1).
+
+    To produce imerges for the formula (2) the function calls the function
+    imerge_list_or_list passing it the merge parts of tree1 and tree2 as
+    parameters.
+
+    To produce imerges for the formula (3) the function calls the function
+    imerge_list_or_tree passing it the imerge m1_1 and the range tree rt2 as
+    parameters. Similarly, to produce imerges for the formula (4) the function
+    calls the function imerge_list_or_tree passing it the imerge m2_1 and the
+    range tree rt1.
+
+    If rt1 is empty then the trees for (1) and (4) are empty.
+    If rt2 is empty then the trees for (1) and (3) are empty.
+    If mt1 is empty then the trees for (2) and (3) are empty.
+    If mt2 is empty then the trees for (2) and (4) are empty.
+
+  RETURN
+    The result tree for the operation if a success
+    0 - otherwise
+*/
+
 static SEL_TREE *
 tree_or(RANGE_OPT_PARAM *param,SEL_TREE *tree1,SEL_TREE *tree2)
 {
@@ -6238,74 +7203,100 @@ tree_or(RANGE_OPT_PARAM *param,SEL_TREE 
   if (tree2->type == SEL_TREE::MAYBE)
     DBUG_RETURN(tree2);
 
-  SEL_TREE *result= 0;
-  key_map  result_keys;
-  result_keys.clear_all();
-  if (sel_trees_can_be_ored(tree1, tree2, param))
+  SEL_TREE *result= NULL;
+  key_map result_keys;
+  key_map ored_keys;
+  SEL_TREE *rtree[2]= {NULL,NULL};
+  SEL_IMERGE *imerge[2]= {NULL, NULL};
+  bool no_ranges1= tree1->without_ranges();
+  bool no_ranges2= tree2->without_ranges();
+  bool no_merges1= tree1->without_imerges();
+  bool no_merges2= tree2->without_imerges();
+  if (!no_ranges1 && !no_merges2)
+  {
+    rtree[0]= new SEL_TREE(tree1, TRUE, param);
+    imerge[1]= new SEL_IMERGE(tree2->merges.head(), 0, param);
+  }
+  if (!no_ranges2 && !no_merges1)
   {
-    /* Join the trees key per key */
-    SEL_ARG **key1,**key2,**end;
-    for (key1= tree1->keys,key2= tree2->keys,end= key1+param->keys ;
-         key1 != end ; key1++,key2++)
-    {
-      *key1=key_or(param, *key1, *key2);
-      if (*key1)
+    rtree[1]= new SEL_TREE(tree2, TRUE, param);
+    imerge[0]= new SEL_IMERGE(tree1->merges.head(), 0, param);
+  }
+  bool no_imerge_from_ranges= FALSE;
+  if (!(result= new SEL_TREE()))
+    DBUG_RETURN(result);
+
+  /* Build the range part of the tree for the formula (1) */ 
+  if (sel_trees_can_be_ored(param, tree1, tree2, &ored_keys))
+  {
+    bool must_be_ored= sel_trees_must_be_ored(param, tree1, tree2, ored_keys);
+    no_imerge_from_ranges= must_be_ored;
+    key_map::Iterator it(ored_keys);
+    int key_no;
+    while ((key_no= it++) != key_map::Iterator::BITMAP_END)
+    {
+      SEL_ARG *key1= tree1->keys[key_no];
+      SEL_ARG *key2= tree2->keys[key_no];
+      if (!must_be_ored)
       {
-        result=tree1;				// Added to tree1
-        result_keys.set_bit(key1 - tree1->keys);
-#ifdef EXTRA_DEBUG
-        if (param->alloced_sel_args < SEL_ARG::MAX_SEL_ARGS) 
-          (*key1)->test_use_count(*key1);
-#endif
+        key1->incr_refs();
+        key2->incr_refs();
       }
+      if ((result->keys[key_no]= key_or(param, key1, key2)))
+        result->keys_map.set_bit(key_no);
     }
-    if (result)
-      result->keys_map= result_keys;
+    result->type= tree1->type;
   }
-  else
+      
+  if (no_imerge_from_ranges && no_merges1 && no_merges2)
   {
-    /* ok, two trees have KEY type but cannot be used without index merge */
-    if (tree1->merges.is_empty() && tree2->merges.is_empty())
-    {
-      if (param->remove_jump_scans)
-      {
-        bool no_trees= remove_nonrange_trees(param, tree1);
-        no_trees= no_trees || remove_nonrange_trees(param, tree2);
-        if (no_trees)
-          DBUG_RETURN(new SEL_TREE(SEL_TREE::ALWAYS));
-      }
-      SEL_IMERGE *merge;
-      /* both trees are "range" trees, produce new index merge structure */
-      if (!(result= new SEL_TREE()) || !(merge= new SEL_IMERGE()) ||
-          (result->merges.push_back(merge)) ||
-          (merge->or_sel_tree(param, tree1)) ||
-          (merge->or_sel_tree(param, tree2)))
+    if (result->keys_map.is_clear_all())
+      result->type= SEL_TREE::ALWAYS;
+    DBUG_RETURN(result);
+  }
+
+  SEL_IMERGE *imerge_from_ranges;
+  if (!(imerge_from_ranges= new SEL_IMERGE()))
+    result= NULL;
+  else if (!no_ranges1 && !no_ranges2 && !no_imerge_from_ranges)
+  {
+    /* Build the imerge part of the tree for the formula (1) */
+    SEL_TREE *rt1= tree1;
+    SEL_TREE *rt2= tree2;
+    if (!no_merges1)
+      rt1= new SEL_TREE(tree1, TRUE, param);
+    if (!no_merges2)
+      rt2= new SEL_TREE(tree2, TRUE, param);
+    if (!rt1 || !rt2 ||
+        result->merges.push_back(imerge_from_ranges) ||
+        imerge_from_ranges->or_sel_tree(param, rt1) ||
+        imerge_from_ranges->or_sel_tree(param, rt2))
         result= NULL;
-      else
-        result->type= tree1->type;
-    }
-    else if (!tree1->merges.is_empty() && !tree2->merges.is_empty())
-    {
-      if (imerge_list_or_list(param, &tree1->merges, &tree2->merges))
-        result= new SEL_TREE(SEL_TREE::ALWAYS);
-      else
-        result= tree1;
-    }
-    else
-    {
-      /* one tree is index merge tree and another is range tree */
-      if (tree1->merges.is_empty())
-        swap_variables(SEL_TREE*, tree1, tree2);
-      
-      if (param->remove_jump_scans && remove_nonrange_trees(param, tree2))
-         DBUG_RETURN(new SEL_TREE(SEL_TREE::ALWAYS));
-      /* add tree2 to tree1->merges, checking if it collapses to ALWAYS */
-      if (imerge_list_or_tree(param, &tree1->merges, tree2))
-        result= new SEL_TREE(SEL_TREE::ALWAYS);
-      else
-        result= tree1;
-    }
   }
+  if (!result)
+    DBUG_RETURN(result);
+
+  result->type= tree1->type;
+
+  if (!no_merges1 && !no_merges2 && 
+      !imerge_list_or_list(param, &tree1->merges, &tree2->merges))
+  {
+    /* Build the imerges for the formula (2) */
+    imerge_list_and_list(&result->merges, &tree1->merges);
+  }
+
+  /* Build the imerges for the formulas (3) and (4) */
+  for (uint i=0; i < 2; i++)
+  {
+    List<SEL_IMERGE> merges;
+    SEL_TREE *rt= rtree[i];
+    SEL_IMERGE *im= imerge[1-i];
+    
+    if (rt && im && !merges.push_back(im) && 
+        !imerge_list_or_tree(param, &merges, rt))
+      imerge_list_and_list(&result->merges, &merges);
+  }
+ 
   DBUG_RETURN(result);
 }
 
@@ -6558,7 +7549,7 @@ key_or(RANGE_OPT_PARAM *param, SEL_ARG *
     {
       swap_variables(SEL_ARG *,key1,key2);
     }
-    if (key1->use_count > 0 || !(key1=key1->clone_tree(param)))
+    if (key1->use_count > 0 && !(key1=key1->clone_tree(param)))
       return 0;					// OOM
   }
 
@@ -7237,11 +8228,7 @@ static ulong count_key_part_usage(SEL_AR
 void SEL_ARG::test_use_count(SEL_ARG *root)
 {
   uint e_count=0;
-  if (this == root && use_count != 1)
-  {
-    sql_print_information("Use_count: Wrong count %lu for root",use_count);
-    return;
-  }
+
   if (this->type != SEL_ARG::KEY_RANGE)
     return;
   for (SEL_ARG *pos=first(); pos ; pos=pos->next)
@@ -7344,12 +8331,13 @@ check_quick_select(PARAM *param,uint idx
       param->table->quick_n_ranges[key]= param->n_ranges;
       param->table->quick_condition_rows=
         min(param->table->quick_condition_rows, records);
+      param->table->quick_rows[key]= records;
     }
     /*
       Need to save quick_rows in any case as it is used when calculating
       cost of ROR intersection:
     */
-    param->table->quick_rows[key]=records;
+    param->quick_rows[key]= records;
     if (cpk_scan)
       param->is_ror_scan= TRUE;
   }

=== modified file 'sql/sql_list.h'
--- a/sql/sql_list.h	2009-09-15 10:46:35 +0000
+++ b/sql/sql_list.h	2009-10-12 04:59:34 +0000
@@ -168,6 +168,14 @@ public:
   {
     if (!list->is_empty())
     {
+#if 0
+#else
+      if (is_empty())
+      {
+        *this= *list;
+        return;
+      }
+#endif
       *last= list->first;
       last= list->last;
       elements+= list->elements;

    

Igor Babaev

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