[Maria-developers] bzr commit into MariaDB 5.1, with Maria 1.5:maria branch (igor:2744) WL#24
#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),
+(641,'Jirja','EGY',95400),
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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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+(1142,'Panipat','IND',215218),
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+(1145,'Jammu','IND',214737),
+(1146,'Ramagundam','IND',214384),
+(1147,'Eluru','IND',212866),
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+(1149,'Alwar','IND',205086),
+(1150,'Pondicherry','IND',203065),
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+(1152,'Bihar Sharif','IND',201323),
+(1153,'Tuticorin','IND',199854),
+(1154,'Imphal','IND',198535),
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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),
+(1205,'Sambhal','IND',150869),
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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),
+(1224,'Kollam (Quilon)','IND',139852),
+(1225,'Kumbakonam','IND',139483),
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+(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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+(1417,'Bushehr','IRN',143641),
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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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+(1620,'Hachinohe','JPN',242979),
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+(1626,'Fuchu','JPN',220576),
+(1627,'Chigasaki','JPN',216015),
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+(1799,'Prizren','YUG',92303),
+(1800,'Phnom Penh','KHM',570155);
+INSERT INTO City VALUES
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+(1998,'Tonghua','CHN',324600),
+(1999,'Siping','CHN',317223),
+(2000,'Changzhi','CHN',317144);
+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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+INSERT INTO City VALUES
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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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+(2798,'Gombe','NGA',107800),
+(2799,'Igboho','NGA',106800),
+(2800,'Ejigbo','NGA',105900);
+INSERT INTO City VALUES
+(2801,'Agege','NGA',105000),
+(2802,'Ise-Ekiti','NGA',103400),
+(2803,'Ugep','NGA',102600),
+(2804,'Epe','NGA',101000),
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+(2814,'Yamoussoukro','CIV',130000),
+(2815,'Daloa','CIV',121842),
+(2816,'Korhogo','CIV',109445),
+(2817,'al-Sib','OMN',155000),
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+(2819,'Bawshar','OMN',107500),
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+(2821,'Masqat','OMN',51969),
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+(2998,'Nîmes','FRA',133424),
+(2999,'Tours','FRA',132820),
+(3000,'Villeurbanne','FRA',124215);
+INSERT INTO City VALUES
+(3001,'Metz','FRA',123776),
+(3002,'Besançon','FRA',117733),
+(3003,'Caen','FRA',113987),
+(3004,'Orléans','FRA',113126),
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+(3014,'Cayenne','GUF',50699),
+(3015,'Faaa','PYF',25888),
+(3016,'Papeete','PYF',25553),
+(3017,'Saint-Denis','REU',131480),
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+(3042,'Târgoviste','ROM',98980),
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+(3045,'Tulcea','ROM',96278),
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+(3052,'Linköping','SWE',133168),
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+(3059,'Lund','SWE',98948),
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+(3064,'Basseterre','KNA',11600),
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+(3101,'Oberhausen','DEU',222349),
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+(3146,'Hildesheim','DEU',104013),
+(3147,'Witten','DEU',103384),
+(3148,'Schwerin','DEU',102878),
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+(3161,'Honiara','SLB',50100),
+(3162,'Lusaka','ZMB',1317000),
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+(3168,'Luanshya','ZMB',118100),
+(3169,'Apia','WSM',35900),
+(3170,'Serravalle','SMR',4802),
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+(3172,'São Tomé','STP',49541),
+(3173,'Riyadh','SAU',3324000),
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+(3175,'Mekka','SAU',965700),
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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),
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+(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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+(3260,'Idlib','SYR',91081),
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+(3262,'Khujand','TJK',161500),
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+(3303,'Ilan','TWN',92000),
+(3304,'Miaoli','TWN',90000),
+(3305,'Dar es Salaam','TZA',1747000),
+(3306,'Dodoma','TZA',189000),
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+(3322,'Nakhon Ratchasima','THA',181400),
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+(3328,'Nakhon Sawan','THA',123800),
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+(3346,'Hradec Králové','CZE',98080),
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+(3350,'Sfax','TUN',257800),
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+(3352,'Ettadhamen','TUN',178600),
+(3353,'Sousse','TUN',145900),
+(3354,'Kairouan','TUN',113100),
+(3355,'Biserta','TUN',108900),
+(3356,'Gabès','TUN',106600),
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+(3375,'Erzurum','TUR',246535),
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+(3378,'Elâzig','TUR',228815),
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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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+(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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+(3456,'Lutsk','UKR',217000),
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+(3458,'Kramatorsk','UKR',186000),
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+(3464,'Sjeverodonetsk','UKR',127000),
+(3465,'Slovjansk','UKR',127000),
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+(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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+(3556,'Puerto Cabello','VEN',187722),
+(3557,'Santa Ana de Coro','VEN',185766),
+(3558,'Los Teques','VEN',178784),
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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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+(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:
+
+
participants (1)
-
Igor Babaev