select.test
上传用户:tsgydb
上传日期:2007-04-14
资源大小:10674k
文件大小:108k
- #
- # Find string "NOTE NOTE NOTE" in order to find some 'unsure' tests
- #
- #
- # Simple select test
- #
- use test;
- drop table if exists t1,t2,t3,t4;
- CREATE TABLE t1 (
- Period smallint(4) unsigned zerofill DEFAULT '0000' NOT NULL,
- Varor_period smallint(4) unsigned DEFAULT '0' NOT NULL
- );
- INSERT INTO t1 VALUES (9410,9412);
-
- select period from t1;
- select * from t1;
- select t1.* from t1;
- #
- # Create test table
- #
- CREATE TABLE t2 (
- auto int not null auto_increment,
- fld1 int(6) unsigned zerofill DEFAULT '000000' NOT NULL,
- companynr tinyint(2) unsigned zerofill DEFAULT '00' NOT NULL,
- fld3 char(30) DEFAULT '' NOT NULL,
- fld4 char(35) DEFAULT '' NOT NULL,
- fld5 char(35) DEFAULT '' NOT NULL,
- fld6 char(4) DEFAULT '' NOT NULL,
- UNIQUE fld1 (fld1),
- KEY fld3 (fld3),
- PRIMARY KEY (auto)
- );
- #
- # Populate table
- #
- INSERT INTO t2 VALUES (1,000001,00,'Omaha','teethe','neat','');
- INSERT INTO t2 VALUES (2,011401,37,'breaking','dreaded','Steinberg','W');
- INSERT INTO t2 VALUES (3,011402,37,'Romans','scholastics','jarring','');
- INSERT INTO t2 VALUES (4,011403,37,'intercepted','audiology','tinily','');
- INSERT INTO t2 VALUES (5,011501,37,'bewilderingly','wallet','balled','');
- INSERT INTO t2 VALUES (6,011701,37,'astound','parters','persist','W');
- INSERT INTO t2 VALUES (7,011702,37,'admonishing','eschew','attainments','');
- INSERT INTO t2 VALUES (8,011703,37,'sumac','quitter','fanatic','');
- INSERT INTO t2 VALUES (9,012001,37,'flanking','neat','measures','FAS');
- INSERT INTO t2 VALUES (10,012003,37,'combed','Steinberg','rightfulness','');
- INSERT INTO t2 VALUES (11,012004,37,'subjective','jarring','capably','');
- INSERT INTO t2 VALUES (12,012005,37,'scatterbrain','tinily','impulsive','');
- INSERT INTO t2 VALUES (13,012301,37,'Eulerian','balled','starlet','');
- INSERT INTO t2 VALUES (14,012302,36,'dubbed','persist','terminators','');
- INSERT INTO t2 VALUES (15,012303,37,'Kane','attainments','untying','');
- INSERT INTO t2 VALUES (16,012304,37,'overlay','fanatic','announces','FAS');
- INSERT INTO t2 VALUES (17,012305,37,'perturb','measures','featherweight','FAS');
- INSERT INTO t2 VALUES (18,012306,37,'goblins','rightfulness','pessimist','FAS');
- INSERT INTO t2 VALUES (19,012501,37,'annihilates','capably','daughter','');
- INSERT INTO t2 VALUES (20,012602,37,'Wotan','impulsive','decliner','FAS');
- INSERT INTO t2 VALUES (21,012603,37,'snatching','starlet','lawgiver','');
- INSERT INTO t2 VALUES (22,012604,37,'concludes','terminators','stated','');
- INSERT INTO t2 VALUES (23,012605,37,'laterally','untying','readable','');
- INSERT INTO t2 VALUES (24,012606,37,'yelped','announces','attrition','');
- INSERT INTO t2 VALUES (25,012701,37,'grazing','featherweight','cascade','FAS');
- INSERT INTO t2 VALUES (26,012702,37,'Baird','pessimist','motors','FAS');
- INSERT INTO t2 VALUES (27,012703,37,'celery','daughter','interrogate','');
- INSERT INTO t2 VALUES (28,012704,37,'misunderstander','decliner','pests','W');
- INSERT INTO t2 VALUES (29,013601,37,'handgun','lawgiver','stairway','');
- INSERT INTO t2 VALUES (30,013602,37,'foldout','stated','dopers','FAS');
- INSERT INTO t2 VALUES (31,013603,37,'mystic','readable','testicle','W');
- INSERT INTO t2 VALUES (32,013604,37,'succumbed','attrition','Parsifal','W');
- INSERT INTO t2 VALUES (33,013605,37,'Nabisco','cascade','leavings','');
- INSERT INTO t2 VALUES (34,013606,37,'fingerings','motors','postulation','W');
- INSERT INTO t2 VALUES (35,013607,37,'aging','interrogate','squeaking','');
- INSERT INTO t2 VALUES (36,013608,37,'afield','pests','contrasted','');
- INSERT INTO t2 VALUES (37,013609,37,'ammonium','stairway','leftover','');
- INSERT INTO t2 VALUES (38,013610,37,'boat','dopers','whiteners','');
- INSERT INTO t2 VALUES (39,013801,37,'intelligibility','testicle','erases','W');
- INSERT INTO t2 VALUES (40,013802,37,'Augustine','Parsifal','Punjab','W');
- INSERT INTO t2 VALUES (41,013803,37,'teethe','leavings','Merritt','');
- INSERT INTO t2 VALUES (42,013804,37,'dreaded','postulation','Quixotism','');
- INSERT INTO t2 VALUES (43,013901,37,'scholastics','squeaking','sweetish','FAS');
- INSERT INTO t2 VALUES (44,016001,37,'audiology','contrasted','dogging','FAS');
- INSERT INTO t2 VALUES (45,016201,37,'wallet','leftover','scornfully','FAS');
- INSERT INTO t2 VALUES (46,016202,37,'parters','whiteners','bellow','');
- INSERT INTO t2 VALUES (47,016301,37,'eschew','erases','bills','');
- INSERT INTO t2 VALUES (48,016302,37,'quitter','Punjab','cupboard','FAS');
- INSERT INTO t2 VALUES (49,016303,37,'neat','Merritt','sureties','FAS');
- INSERT INTO t2 VALUES (50,016304,37,'Steinberg','Quixotism','puddings','');
- INSERT INTO t2 VALUES (51,018001,37,'jarring','sweetish','tapestry','');
- INSERT INTO t2 VALUES (52,018002,37,'tinily','dogging','fetters','');
- INSERT INTO t2 VALUES (53,018003,37,'balled','scornfully','bivalves','');
- INSERT INTO t2 VALUES (54,018004,37,'persist','bellow','incurring','');
- INSERT INTO t2 VALUES (55,018005,37,'attainments','bills','Adolph','');
- INSERT INTO t2 VALUES (56,018007,37,'fanatic','cupboard','pithed','');
- INSERT INTO t2 VALUES (57,018008,37,'measures','sureties','emergency','');
- INSERT INTO t2 VALUES (58,018009,37,'rightfulness','puddings','Miles','');
- INSERT INTO t2 VALUES (59,018010,37,'capably','tapestry','trimmings','');
- INSERT INTO t2 VALUES (60,018012,37,'impulsive','fetters','tragedies','W');
- INSERT INTO t2 VALUES (61,018013,37,'starlet','bivalves','skulking','W');
- INSERT INTO t2 VALUES (62,018014,37,'terminators','incurring','flint','');
- INSERT INTO t2 VALUES (63,018015,37,'untying','Adolph','flopping','W');
- INSERT INTO t2 VALUES (64,018016,37,'announces','pithed','relaxing','FAS');
- INSERT INTO t2 VALUES (65,018017,37,'featherweight','emergency','offload','FAS');
- INSERT INTO t2 VALUES (66,018018,37,'pessimist','Miles','suites','W');
- INSERT INTO t2 VALUES (67,018019,37,'daughter','trimmings','lists','FAS');
- INSERT INTO t2 VALUES (68,018020,37,'decliner','tragedies','animized','FAS');
- INSERT INTO t2 VALUES (69,018021,37,'lawgiver','skulking','multilayer','W');
- INSERT INTO t2 VALUES (70,018022,37,'stated','flint','standardizes','FAS');
- INSERT INTO t2 VALUES (71,018023,37,'readable','flopping','Judas','');
- INSERT INTO t2 VALUES (72,018024,37,'attrition','relaxing','vacuuming','W');
- INSERT INTO t2 VALUES (73,018025,37,'cascade','offload','dentally','W');
- INSERT INTO t2 VALUES (74,018026,37,'motors','suites','humanness','W');
- INSERT INTO t2 VALUES (75,018027,37,'interrogate','lists','inch','W');
- INSERT INTO t2 VALUES (76,018028,37,'pests','animized','Weissmuller','W');
- INSERT INTO t2 VALUES (77,018029,37,'stairway','multilayer','irresponsibly','W');
- INSERT INTO t2 VALUES (78,018030,37,'dopers','standardizes','luckily','FAS');
- INSERT INTO t2 VALUES (79,018032,37,'testicle','Judas','culled','W');
- INSERT INTO t2 VALUES (80,018033,37,'Parsifal','vacuuming','medical','FAS');
- INSERT INTO t2 VALUES (81,018034,37,'leavings','dentally','bloodbath','FAS');
- INSERT INTO t2 VALUES (82,018035,37,'postulation','humanness','subschema','W');
- INSERT INTO t2 VALUES (83,018036,37,'squeaking','inch','animals','W');
- INSERT INTO t2 VALUES (84,018037,37,'contrasted','Weissmuller','Micronesia','');
- INSERT INTO t2 VALUES (85,018038,37,'leftover','irresponsibly','repetitions','');
- INSERT INTO t2 VALUES (86,018039,37,'whiteners','luckily','Antares','');
- INSERT INTO t2 VALUES (87,018040,37,'erases','culled','ventilate','W');
- INSERT INTO t2 VALUES (88,018041,37,'Punjab','medical','pityingly','');
- INSERT INTO t2 VALUES (89,018042,37,'Merritt','bloodbath','interdependent','');
- INSERT INTO t2 VALUES (90,018043,37,'Quixotism','subschema','Graves','FAS');
- INSERT INTO t2 VALUES (91,018044,37,'sweetish','animals','neonatal','');
- INSERT INTO t2 VALUES (92,018045,37,'dogging','Micronesia','scribbled','FAS');
- INSERT INTO t2 VALUES (93,018046,37,'scornfully','repetitions','chafe','W');
- INSERT INTO t2 VALUES (94,018048,37,'bellow','Antares','honoring','');
- INSERT INTO t2 VALUES (95,018049,37,'bills','ventilate','realtor','');
- INSERT INTO t2 VALUES (96,018050,37,'cupboard','pityingly','elite','');
- INSERT INTO t2 VALUES (97,018051,37,'sureties','interdependent','funereal','');
- INSERT INTO t2 VALUES (98,018052,37,'puddings','Graves','abrogating','');
- INSERT INTO t2 VALUES (99,018053,50,'tapestry','neonatal','sorters','');
- INSERT INTO t2 VALUES (100,018054,37,'fetters','scribbled','Conley','');
- INSERT INTO t2 VALUES (101,018055,37,'bivalves','chafe','lectured','');
- INSERT INTO t2 VALUES (102,018056,37,'incurring','honoring','Abraham','');
- INSERT INTO t2 VALUES (103,018057,37,'Adolph','realtor','Hawaii','W');
- INSERT INTO t2 VALUES (104,018058,37,'pithed','elite','cage','');
- INSERT INTO t2 VALUES (105,018059,36,'emergency','funereal','hushes','');
- INSERT INTO t2 VALUES (106,018060,37,'Miles','abrogating','Simla','');
- INSERT INTO t2 VALUES (107,018061,37,'trimmings','sorters','reporters','');
- INSERT INTO t2 VALUES (108,018101,37,'tragedies','Conley','Dutchman','FAS');
- INSERT INTO t2 VALUES (109,018102,37,'skulking','lectured','descendants','FAS');
- INSERT INTO t2 VALUES (110,018103,37,'flint','Abraham','groupings','FAS');
- INSERT INTO t2 VALUES (111,018104,37,'flopping','Hawaii','dissociate','');
- INSERT INTO t2 VALUES (112,018201,37,'relaxing','cage','coexist','W');
- INSERT INTO t2 VALUES (113,018202,37,'offload','hushes','Beebe','');
- INSERT INTO t2 VALUES (114,018402,37,'suites','Simla','Taoism','');
- INSERT INTO t2 VALUES (115,018403,37,'lists','reporters','Connally','');
- INSERT INTO t2 VALUES (116,018404,37,'animized','Dutchman','fetched','FAS');
- INSERT INTO t2 VALUES (117,018405,37,'multilayer','descendants','checkpoints','FAS');
- INSERT INTO t2 VALUES (118,018406,37,'standardizes','groupings','rusting','');
- INSERT INTO t2 VALUES (119,018409,37,'Judas','dissociate','galling','');
- INSERT INTO t2 VALUES (120,018601,37,'vacuuming','coexist','obliterates','');
- INSERT INTO t2 VALUES (121,018602,37,'dentally','Beebe','traitor','');
- INSERT INTO t2 VALUES (122,018603,37,'humanness','Taoism','resumes','FAS');
- INSERT INTO t2 VALUES (123,018801,37,'inch','Connally','analyzable','FAS');
- INSERT INTO t2 VALUES (124,018802,37,'Weissmuller','fetched','terminator','FAS');
- INSERT INTO t2 VALUES (125,018803,37,'irresponsibly','checkpoints','gritty','FAS');
- INSERT INTO t2 VALUES (126,018804,37,'luckily','rusting','firearm','W');
- INSERT INTO t2 VALUES (127,018805,37,'culled','galling','minima','');
- INSERT INTO t2 VALUES (128,018806,37,'medical','obliterates','Selfridge','');
- INSERT INTO t2 VALUES (129,018807,37,'bloodbath','traitor','disable','');
- INSERT INTO t2 VALUES (130,018808,37,'subschema','resumes','witchcraft','W');
- INSERT INTO t2 VALUES (131,018809,37,'animals','analyzable','betroth','W');
- INSERT INTO t2 VALUES (132,018810,37,'Micronesia','terminator','Manhattanize','');
- INSERT INTO t2 VALUES (133,018811,37,'repetitions','gritty','imprint','');
- INSERT INTO t2 VALUES (134,018812,37,'Antares','firearm','peeked','');
- INSERT INTO t2 VALUES (135,019101,37,'ventilate','minima','swelling','');
- INSERT INTO t2 VALUES (136,019102,37,'pityingly','Selfridge','interrelationships','W');
- INSERT INTO t2 VALUES (137,019103,37,'interdependent','disable','riser','');
- INSERT INTO t2 VALUES (138,019201,37,'Graves','witchcraft','Gandhian','W');
- INSERT INTO t2 VALUES (139,030501,37,'neonatal','betroth','peacock','A');
- INSERT INTO t2 VALUES (140,030502,50,'scribbled','Manhattanize','bee','A');
- INSERT INTO t2 VALUES (141,030503,37,'chafe','imprint','kanji','');
- INSERT INTO t2 VALUES (142,030504,37,'honoring','peeked','dental','');
- INSERT INTO t2 VALUES (143,031901,37,'realtor','swelling','scarf','FAS');
- INSERT INTO t2 VALUES (144,036001,37,'elite','interrelationships','chasm','A');
- INSERT INTO t2 VALUES (145,036002,37,'funereal','riser','insolence','A');
- INSERT INTO t2 VALUES (146,036004,37,'abrogating','Gandhian','syndicate','');
- INSERT INTO t2 VALUES (147,036005,37,'sorters','peacock','alike','');
- INSERT INTO t2 VALUES (148,038001,37,'Conley','bee','imperial','A');
- INSERT INTO t2 VALUES (149,038002,37,'lectured','kanji','convulsion','A');
- INSERT INTO t2 VALUES (150,038003,37,'Abraham','dental','railway','A');
- INSERT INTO t2 VALUES (151,038004,37,'Hawaii','scarf','validate','A');
- INSERT INTO t2 VALUES (152,038005,37,'cage','chasm','normalizes','A');
- INSERT INTO t2 VALUES (153,038006,37,'hushes','insolence','comprehensive','');
- INSERT INTO t2 VALUES (154,038007,37,'Simla','syndicate','chewing','');
- INSERT INTO t2 VALUES (155,038008,37,'reporters','alike','denizen','');
- INSERT INTO t2 VALUES (156,038009,37,'Dutchman','imperial','schemer','');
- INSERT INTO t2 VALUES (157,038010,37,'descendants','convulsion','chronicle','');
- INSERT INTO t2 VALUES (158,038011,37,'groupings','railway','Kline','');
- INSERT INTO t2 VALUES (159,038012,37,'dissociate','validate','Anatole','');
- INSERT INTO t2 VALUES (160,038013,37,'coexist','normalizes','partridges','');
- INSERT INTO t2 VALUES (161,038014,37,'Beebe','comprehensive','brunch','');
- INSERT INTO t2 VALUES (162,038015,37,'Taoism','chewing','recruited','');
- INSERT INTO t2 VALUES (163,038016,37,'Connally','denizen','dimensions','W');
- INSERT INTO t2 VALUES (164,038017,37,'fetched','schemer','Chicana','W');
- INSERT INTO t2 VALUES (165,038018,37,'checkpoints','chronicle','announced','');
- INSERT INTO t2 VALUES (166,038101,37,'rusting','Kline','praised','FAS');
- INSERT INTO t2 VALUES (167,038102,37,'galling','Anatole','employing','');
- INSERT INTO t2 VALUES (168,038103,37,'obliterates','partridges','linear','');
- INSERT INTO t2 VALUES (169,038104,37,'traitor','brunch','quagmire','');
- INSERT INTO t2 VALUES (170,038201,37,'resumes','recruited','western','A');
- INSERT INTO t2 VALUES (171,038202,37,'analyzable','dimensions','relishing','');
- INSERT INTO t2 VALUES (172,038203,37,'terminator','Chicana','serving','A');
- INSERT INTO t2 VALUES (173,038204,37,'gritty','announced','scheduling','');
- INSERT INTO t2 VALUES (174,038205,37,'firearm','praised','lore','');
- INSERT INTO t2 VALUES (175,038206,37,'minima','employing','eventful','');
- INSERT INTO t2 VALUES (176,038208,37,'Selfridge','linear','arteriole','A');
- INSERT INTO t2 VALUES (177,042801,37,'disable','quagmire','disentangle','');
- INSERT INTO t2 VALUES (178,042802,37,'witchcraft','western','cured','A');
- INSERT INTO t2 VALUES (179,046101,37,'betroth','relishing','Fenton','W');
- INSERT INTO t2 VALUES (180,048001,37,'Manhattanize','serving','avoidable','A');
- INSERT INTO t2 VALUES (181,048002,37,'imprint','scheduling','drains','A');
- INSERT INTO t2 VALUES (182,048003,37,'peeked','lore','detectably','FAS');
- INSERT INTO t2 VALUES (183,048004,37,'swelling','eventful','husky','');
- INSERT INTO t2 VALUES (184,048005,37,'interrelationships','arteriole','impelling','');
- INSERT INTO t2 VALUES (185,048006,37,'riser','disentangle','undoes','');
- INSERT INTO t2 VALUES (186,048007,37,'Gandhian','cured','evened','');
- INSERT INTO t2 VALUES (187,048008,37,'peacock','Fenton','squeezes','');
- INSERT INTO t2 VALUES (188,048101,37,'bee','avoidable','destroyer','FAS');
- INSERT INTO t2 VALUES (189,048102,37,'kanji','drains','rudeness','');
- INSERT INTO t2 VALUES (190,048201,37,'dental','detectably','beaner','FAS');
- INSERT INTO t2 VALUES (191,048202,37,'scarf','husky','boorish','');
- INSERT INTO t2 VALUES (192,048203,37,'chasm','impelling','Everhart','');
- INSERT INTO t2 VALUES (193,048204,37,'insolence','undoes','encompass','A');
- INSERT INTO t2 VALUES (194,048205,37,'syndicate','evened','mushrooms','');
- INSERT INTO t2 VALUES (195,048301,37,'alike','squeezes','Alison','A');
- INSERT INTO t2 VALUES (196,048302,37,'imperial','destroyer','externally','FAS');
- INSERT INTO t2 VALUES (197,048303,37,'convulsion','rudeness','pellagra','');
- INSERT INTO t2 VALUES (198,048304,37,'railway','beaner','cult','');
- INSERT INTO t2 VALUES (199,048305,37,'validate','boorish','creek','A');
- INSERT INTO t2 VALUES (200,048401,37,'normalizes','Everhart','Huffman','');
- INSERT INTO t2 VALUES (201,048402,37,'comprehensive','encompass','Majorca','FAS');
- INSERT INTO t2 VALUES (202,048403,37,'chewing','mushrooms','governing','A');
- INSERT INTO t2 VALUES (203,048404,37,'denizen','Alison','gadfly','FAS');
- INSERT INTO t2 VALUES (204,048405,37,'schemer','externally','reassigned','FAS');
- INSERT INTO t2 VALUES (205,048406,37,'chronicle','pellagra','intentness','W');
- INSERT INTO t2 VALUES (206,048407,37,'Kline','cult','craziness','');
- INSERT INTO t2 VALUES (207,048408,37,'Anatole','creek','psychic','');
- INSERT INTO t2 VALUES (208,048409,37,'partridges','Huffman','squabbled','');
- INSERT INTO t2 VALUES (209,048410,37,'brunch','Majorca','burlesque','');
- INSERT INTO t2 VALUES (210,048411,37,'recruited','governing','capped','');
- INSERT INTO t2 VALUES (211,048412,37,'dimensions','gadfly','extracted','A');
- INSERT INTO t2 VALUES (212,048413,37,'Chicana','reassigned','DiMaggio','');
- INSERT INTO t2 VALUES (213,048601,37,'announced','intentness','exclamation','FAS');
- INSERT INTO t2 VALUES (214,048602,37,'praised','craziness','subdirectory','');
- INSERT INTO t2 VALUES (215,048603,37,'employing','psychic','fangs','');
- INSERT INTO t2 VALUES (216,048604,37,'linear','squabbled','buyer','A');
- INSERT INTO t2 VALUES (217,048801,37,'quagmire','burlesque','pithing','A');
- INSERT INTO t2 VALUES (218,050901,37,'western','capped','transistorizing','A');
- INSERT INTO t2 VALUES (219,051201,37,'relishing','extracted','nonbiodegradable','');
- INSERT INTO t2 VALUES (220,056002,37,'serving','DiMaggio','dislocate','');
- INSERT INTO t2 VALUES (221,056003,37,'scheduling','exclamation','monochromatic','FAS');
- INSERT INTO t2 VALUES (222,056004,37,'lore','subdirectory','batting','');
- INSERT INTO t2 VALUES (223,056102,37,'eventful','fangs','postcondition','A');
- INSERT INTO t2 VALUES (224,056203,37,'arteriole','buyer','catalog','FAS');
- INSERT INTO t2 VALUES (225,056204,37,'disentangle','pithing','Remus','');
- INSERT INTO t2 VALUES (226,058003,37,'cured','transistorizing','devices','A');
- INSERT INTO t2 VALUES (227,058004,37,'Fenton','nonbiodegradable','bike','A');
- INSERT INTO t2 VALUES (228,058005,37,'avoidable','dislocate','qualify','');
- INSERT INTO t2 VALUES (229,058006,37,'drains','monochromatic','detained','');
- INSERT INTO t2 VALUES (230,058007,37,'detectably','batting','commended','');
- INSERT INTO t2 VALUES (231,058101,37,'husky','postcondition','civilize','');
- INSERT INTO t2 VALUES (232,058102,37,'impelling','catalog','Elmhurst','');
- INSERT INTO t2 VALUES (233,058103,37,'undoes','Remus','anesthetizing','');
- INSERT INTO t2 VALUES (234,058105,37,'evened','devices','deaf','');
- INSERT INTO t2 VALUES (235,058111,37,'squeezes','bike','Brigham','');
- INSERT INTO t2 VALUES (236,058112,37,'destroyer','qualify','title','');
- INSERT INTO t2 VALUES (237,058113,37,'rudeness','detained','coarse','');
- INSERT INTO t2 VALUES (238,058114,37,'beaner','commended','combinations','');
- INSERT INTO t2 VALUES (239,058115,37,'boorish','civilize','grayness','');
- INSERT INTO t2 VALUES (240,058116,37,'Everhart','Elmhurst','innumerable','FAS');
- INSERT INTO t2 VALUES (241,058117,37,'encompass','anesthetizing','Caroline','A');
- INSERT INTO t2 VALUES (242,058118,37,'mushrooms','deaf','fatty','FAS');
- INSERT INTO t2 VALUES (243,058119,37,'Alison','Brigham','eastbound','');
- INSERT INTO t2 VALUES (244,058120,37,'externally','title','inexperienced','');
- INSERT INTO t2 VALUES (245,058121,37,'pellagra','coarse','hoarder','A');
- INSERT INTO t2 VALUES (246,058122,37,'cult','combinations','scotch','W');
- INSERT INTO t2 VALUES (247,058123,37,'creek','grayness','passport','A');
- INSERT INTO t2 VALUES (248,058124,37,'Huffman','innumerable','strategic','FAS');
- INSERT INTO t2 VALUES (249,058125,37,'Majorca','Caroline','gated','');
- INSERT INTO t2 VALUES (250,058126,37,'governing','fatty','flog','');
- INSERT INTO t2 VALUES (251,058127,37,'gadfly','eastbound','Pipestone','');
- INSERT INTO t2 VALUES (252,058128,37,'reassigned','inexperienced','Dar','');
- INSERT INTO t2 VALUES (253,058201,37,'intentness','hoarder','Corcoran','');
- INSERT INTO t2 VALUES (254,058202,37,'craziness','scotch','flyers','A');
- INSERT INTO t2 VALUES (255,058303,37,'psychic','passport','competitions','W');
- INSERT INTO t2 VALUES (256,058304,37,'squabbled','strategic','suppliers','FAS');
- INSERT INTO t2 VALUES (257,058602,37,'burlesque','gated','skips','');
- INSERT INTO t2 VALUES (258,058603,37,'capped','flog','institutes','');
- INSERT INTO t2 VALUES (259,058604,37,'extracted','Pipestone','troop','A');
- INSERT INTO t2 VALUES (260,058605,37,'DiMaggio','Dar','connective','W');
- INSERT INTO t2 VALUES (261,058606,37,'exclamation','Corcoran','denies','');
- INSERT INTO t2 VALUES (262,058607,37,'subdirectory','flyers','polka','');
- INSERT INTO t2 VALUES (263,060401,36,'fangs','competitions','observations','FAS');
- INSERT INTO t2 VALUES (264,061701,36,'buyer','suppliers','askers','');
- INSERT INTO t2 VALUES (265,066201,36,'pithing','skips','homeless','FAS');
- INSERT INTO t2 VALUES (266,066501,36,'transistorizing','institutes','Anna','');
- INSERT INTO t2 VALUES (267,068001,36,'nonbiodegradable','troop','subdirectories','W');
- INSERT INTO t2 VALUES (268,068002,36,'dislocate','connective','decaying','FAS');
- INSERT INTO t2 VALUES (269,068005,36,'monochromatic','denies','outwitting','W');
- INSERT INTO t2 VALUES (270,068006,36,'batting','polka','Harpy','W');
- INSERT INTO t2 VALUES (271,068007,36,'postcondition','observations','crazed','');
- INSERT INTO t2 VALUES (272,068008,36,'catalog','askers','suffocate','');
- INSERT INTO t2 VALUES (273,068009,36,'Remus','homeless','provers','FAS');
- INSERT INTO t2 VALUES (274,068010,36,'devices','Anna','technically','');
- INSERT INTO t2 VALUES (275,068011,36,'bike','subdirectories','Franklinizations','');
- INSERT INTO t2 VALUES (276,068202,36,'qualify','decaying','considered','');
- INSERT INTO t2 VALUES (277,068302,36,'detained','outwitting','tinnily','');
- INSERT INTO t2 VALUES (278,068303,36,'commended','Harpy','uninterruptedly','');
- INSERT INTO t2 VALUES (279,068401,36,'civilize','crazed','whistled','A');
- INSERT INTO t2 VALUES (280,068501,36,'Elmhurst','suffocate','automate','');
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- INSERT INTO t2 VALUES (1139,138012,00,'assayed','Anthony','crushers','');
- INSERT INTO t2 VALUES (1140,068304,00,'homeowner','planar','Puritan','');
- INSERT INTO t2 VALUES (1141,078009,00,'and','cupped','squeezer','');
- INSERT INTO t2 VALUES (1142,108013,00,'stealth','cleanser','bruises','');
- INSERT INTO t2 VALUES (1143,084004,00,'coinciding','commuters','bonfire','');
- INSERT INTO t2 VALUES (1144,083402,00,'founder','honeysuckle','Colombo','');
- INSERT INTO t2 VALUES (1145,084003,00,'environing','orphanage','nondecreasing','');
- INSERT INTO t2 VALUES (1146,088504,00,'jewelry','skies','innocents','');
- INSERT INTO t2 VALUES (1147,088005,00,'lemons','crushers','masked','');
- INSERT INTO t2 VALUES (1148,088007,00,'brokenness','Puritan','file','');
- INSERT INTO t2 VALUES (1149,088006,00,'bedpost','squeezer','brush','');
- INSERT INTO t2 VALUES (1150,148025,00,'assurers','bruises','mutilate','');
- INSERT INTO t2 VALUES (1151,148024,00,'annoyers','bonfire','mommy','');
- INSERT INTO t2 VALUES (1152,138305,00,'affixed','Colombo','bulkheads','');
- INSERT INTO t2 VALUES (1153,138306,00,'warbling','nondecreasing','undeclared','');
- INSERT INTO t2 VALUES (1154,152701,00,'seriously','innocents','displacements','');
- INSERT INTO t2 VALUES (1155,148505,00,'boasted','masked','nieces','');
- INSERT INTO t2 VALUES (1156,158003,00,'Chantilly','file','coeducation','');
- INSERT INTO t2 VALUES (1157,156201,00,'Iranizes','brush','brassy','');
- INSERT INTO t2 VALUES (1158,156202,00,'violinist','mutilate','authenticator','');
- INSERT INTO t2 VALUES (1159,158307,00,'extramarital','mommy','Washoe','');
- INSERT INTO t2 VALUES (1160,158402,00,'spates','bulkheads','penny','');
- INSERT INTO t2 VALUES (1161,158401,00,'cloakroom','undeclared','Flagler','');
- INSERT INTO t2 VALUES (1162,068013,00,'gazer','displacements','stoned','');
- INSERT INTO t2 VALUES (1163,068012,00,'hand','nieces','cranes','');
- INSERT INTO t2 VALUES (1164,068203,00,'tucked','coeducation','masterful','');
- INSERT INTO t2 VALUES (1165,088205,00,'gems','brassy','biracial','');
- INSERT INTO t2 VALUES (1166,068704,00,'clinker','authenticator','steamships','');
- INSERT INTO t2 VALUES (1167,068604,00,'refiner','Washoe','windmills','');
- INSERT INTO t2 VALUES (1168,158502,00,'callus','penny','exploit','');
- INSERT INTO t2 VALUES (1169,123103,00,'leopards','Flagler','riverfront','');
- INSERT INTO t2 VALUES (1170,148026,00,'comfortingly','stoned','sisterly','');
- INSERT INTO t2 VALUES (1171,123302,00,'generically','cranes','sharpshoot','');
- INSERT INTO t2 VALUES (1172,076503,00,'getters','masterful','mittens','');
- INSERT INTO t2 VALUES (1173,126304,00,'sexually','biracial','interdependency','');
- INSERT INTO t2 VALUES (1174,068306,00,'spear','steamships','policy','');
- INSERT INTO t2 VALUES (1175,143504,00,'serums','windmills','unleashing','');
- INSERT INTO t2 VALUES (1176,160201,00,'Italianization','exploit','pretenders','');
- INSERT INTO t2 VALUES (1177,148028,00,'attendants','riverfront','overstatements','');
- INSERT INTO t2 VALUES (1178,148027,00,'spies','sisterly','birthed','');
- INSERT INTO t2 VALUES (1179,143505,00,'Anthony','sharpshoot','opportunism','');
- INSERT INTO t2 VALUES (1180,108014,00,'planar','mittens','showroom','');
- INSERT INTO t2 VALUES (1181,076104,00,'cupped','interdependency','compromisingly','');
- INSERT INTO t2 VALUES (1182,078106,00,'cleanser','policy','Medicare','');
- INSERT INTO t2 VALUES (1183,126102,00,'commuters','unleashing','corresponds','');
- INSERT INTO t2 VALUES (1184,128029,00,'honeysuckle','pretenders','hardware','');
- INSERT INTO t2 VALUES (1185,128028,00,'orphanage','overstatements','implant','');
- INSERT INTO t2 VALUES (1186,018410,00,'skies','birthed','Alicia','');
- INSERT INTO t2 VALUES (1187,128110,00,'crushers','opportunism','requesting','');
- INSERT INTO t2 VALUES (1188,148506,00,'Puritan','showroom','produced','');
- INSERT INTO t2 VALUES (1189,123303,00,'squeezer','compromisingly','criticizes','');
- INSERT INTO t2 VALUES (1190,123304,00,'bruises','Medicare','backer','');
- INSERT INTO t2 VALUES (1191,068504,00,'bonfire','corresponds','positively','');
- INSERT INTO t2 VALUES (1192,068305,00,'Colombo','hardware','colicky','');
- INSERT INTO t2 VALUES (1193,000000,00,'nondecreasing','implant','thrillingly','');
- #
- # Search with a key
- #
- select t2.fld3 from t2 where companynr = 58 and fld3 like "%imaginable%";
- select fld3 from t2 where fld3 like "%cultivation" ;
- #
- # Search with a key using sorting and limit the same time
- #
- select t2.fld3,companynr from t2 where companynr = 57+1 order by fld3;
- select fld3,companynr from t2 where companynr = 58 order by fld3;
- select fld3 from t2 order by fld3 desc limit 10;
- select fld3 from t2 order by fld3 desc limit 5;
- select fld3 from t2 order by fld3 desc limit 5,5;
- #
- # Search with a key having a constant with each unique key.
- # The table is read directly with read-next on fld3
- #
- select t2.fld3 from t2 where fld3 = 'honeysuckle';
- select t2.fld3 from t2 where fld3 LIKE 'honeysuckl_';
- select t2.fld3 from t2 where fld3 LIKE 'hon_ysuckl_';
- select t2.fld3 from t2 where fld3 LIKE 'honeysuckle%';
- select t2.fld3 from t2 where fld3 LIKE 'h%le';
- select t2.fld3 from t2 where fld3 LIKE 'honeysuckle_';
- select t2.fld3 from t2 where fld3 LIKE 'don_t_find_me_please%';
- #
- # Test using INDEX and IGNORE INDEX
- #
- explain select t2.fld3 from t2 where fld3 = 'honeysuckle';
- explain select fld3 from t2 ignore index (fld3) where fld3 = 'honeysuckle';
- explain select fld3 from t2 use index (fld1) where fld3 = 'honeysuckle';
- explain select fld3 from t2 use index (fld3) where fld3 = 'honeysuckle';
- explain select fld3 from t2 use index (fld1,fld3) where fld3 = 'honeysuckle';
- #
- # NOTE NOTE NOTE
- # The next should give an error
- #
- -- error 1072
- explain select fld3 from t2 ignore index (fld3,not_used);
- -- error 1072
- explain select fld3 from t2 use index (not_used);
- #
- # Test sorting with a used key (there is no need for sorting)
- #
- select t2.fld3 from t2 where fld3 >= 'honeysuckle' and fld3 <= 'honoring' order by fld3;
- explain select t2.fld3 from t2 where fld3 >= 'honeysuckle' and fld3 <= 'honoring' order by fld3;
- select fld1,fld3 from t2 where fld3="Colombo" or fld3 = "nondecreasing" order by fld3;
- #
- # Search with a key having a constant with many occurrences
- # The table is read directly with read-next having fld3 to get the
- # occurrences
- #
- select fld1,fld3 from t2 where companynr = 37 and fld3 = 'appendixes';
- #
- # Search with bunched 'or's.
- # If one can limit the key to a certain interval only the possible
- # alternatives will be gone through
- #
- select fld1 from t2 where fld1=250501 or fld1="250502";
- explain select fld1 from t2 where fld1=250501 or fld1="250502";
- select fld1 from t2 where fld1=250501 or fld1=250502 or fld1 >= 250505 and fld1 <= 250601 or fld1 between 250501 and 250502;
- explain select fld1 from t2 where fld1=250501 or fld1=250502 or fld1 >= 250505 and fld1 <= 250601 or fld1 between 250501 and 250502;
- #
- # Search with a key with LIKE constant
- # If the like starts with a certain letter key will be used.
- #
- select fld1,fld3 from t2 where companynr = 37 and fld3 like 'f%';
- select fld3 from t2 where fld3 like "L%" and fld3 = "ok";
- select fld3 from t2 where (fld3 like "C%" and fld3 = "Chantilly");
- select fld1,fld3 from t2 where fld1 like "25050%";
- select fld1,fld3 from t2 where fld1 like "25050_";
- #
- # Search using distinct. An automatic grouping will be done over all the fields,
- # if only distinct is used. In any other case a temporary table will always
- # be created. If only the field used for sorting is from the main register,
- # it will be sorted first before the distinct table is created.
- #
- select distinct companynr from t2;
- select distinct companynr from t2 order by companynr;
- select distinct companynr from t2 order by companynr desc;
- select distinct t2.fld3,period from t2,t1 where companynr=37 and fld3 like "O%";
- select distinct fld3 from t2 where companynr = 34 order by fld3;
- select distinct fld3 from t2 limit 10;
- select distinct fld3 from t2 having fld3 like "A%" limit 10;
- select distinct substring(fld3,1,3) from t2 where fld3 like "A%";
- select distinct substring(fld3,1,3) as a from t2 having a like "A%" order by a limit 10;
- select distinct substring(fld3,1,3) from t2 where fld3 like "A%" limit 10;
- select distinct substring(fld3,1,3) as a from t2 having a like "A%" limit 10;
- # make a big table.
- create table t3 (
- period int not null,
- name char(32) not null,
- companynr int not null,
- price double(11,0),
- price2 double(11,0),
- key (period),
- key (name)
- );
- INSERT INTO t3 (period,name,companynr,price,price2) VALUES (1001,"Iranizes",37,5987435,234724);
- INSERT INTO t3 (period,name,companynr,price,price2) VALUES (1002,"violinist",37,28357832,8723648);
- INSERT INTO t3 (period,name,companynr,price,price2) VALUES (1003,"extramarital",37,39654943,235872);
- INSERT INTO t3 (period,name,companynr,price,price2) VALUES (1004,"spates",78,726498,72987523);
- INSERT INTO t3 (period,name,companynr,price,price2) VALUES (1005,"cloakroom",78,98439034,823742);
- INSERT INTO t3 (period,name,companynr,price,price2) VALUES (1006,"gazer",101,834598,27348324);
- INSERT INTO t3 (period,name,companynr,price,price2) VALUES (1007,"hand",154,983543950,29837423);
- INSERT INTO t3 (period,name,companynr,price,price2) VALUES (1008,"tucked",311,234298,3275892);
- INSERT INTO t3 (period,name,companynr,price,price2) VALUES (1009,"gems",447,2374834,9872392);
- INSERT INTO t3 (period,name,companynr,price,price2) VALUES (1010,"clinker",512,786542,76234234);
- create temporary table tmp select * from t3;
- insert into t3 select * from tmp;
- insert into tmp select * from t3;
- insert into t3 select * from tmp;
- insert into tmp select * from t3;
- insert into t3 select * from tmp;
- insert into tmp select * from t3;
- insert into t3 select * from tmp;
- insert into tmp select * from t3;
- insert into t3 select * from tmp;
- insert into tmp select * from t3;
- insert into t3 select * from tmp;
- insert into tmp select * from t3;
- insert into t3 select * from tmp;
- insert into tmp select * from t3;
- insert into t3 select * from tmp;
- insert into tmp select * from t3;
- insert into t3 select * from tmp;
- #insert into tmp select * from t3;
- #insert into t3 select * from tmp;
- alter table t3 add t2nr int not null auto_increment primary key first;
- drop table tmp;
- # big table done
- SET OPTION SQL_BIG_TABLES=1;
- select distinct concat(fld3," ",fld3) as namn from t2,t3 where t2.fld1=t3.t2nr order by namn limit 10;
- SET OPTION SQL_BIG_TABLES=0;
- select distinct concat(fld3," ",fld3) from t2,t3 where t2.fld1=t3.t2nr order by fld3 limit 10;
- select distinct fld5 from t2 limit 10;
- #
- # Force use of remove_dupp
- #
- select distinct fld3,count(*) from t2 group by companynr,fld3 limit 10;
- SET OPTION SQL_BIG_TABLES=1; # Force use of MyISAM
- select distinct fld3,count(*) from t2 group by companynr,fld3 limit 10;
- SET OPTION SQL_BIG_TABLES=0;
- select distinct fld3,repeat("a",length(fld3)),count(*) from t2 group by companynr,fld3 limit 100,10;
- #
- # A big order by that should trigger a merge in filesort
- #
- select distinct companynr,rtrim(space(512+companynr)) from t3 order by 1,2;
- #
- # Search with distinct and order by with many table.
- #
- select distinct fld3 from t2,t3 where t2.companynr = 34 and t2.fld1=t3.t2nr order by fld3;
- #
- # Here the last fld3 is optimized away from the order by
- #
- explain select t3.t2nr,fld3 from t2,t3 where t2.companynr = 34 and t2.fld1=t3.t2nr order by t3.t2nr,fld3;
- #
- # Search with a constant table.
- #
- select period from t1;
- select period from t1 where period=1900;
- select fld3,period from t1,t2 where fld1 = 011401 order by period;
- #
- # Search with a constant table and several keyparts. (Rows are read only once
- # in the beginning of the search)
- #
- select fld3,period from t2,t3 where t2.fld1 = 011401 and t2.fld1=t3.t2nr and t3.period=1001;
- explain select fld3,period from t2,t3 where t2.fld1 = 011401 and t3.t2nr=t2.fld1 and 1001 = t3.period;
- #
- # Search with a constant table and several rows from another table
- #
- select fld3,period from t2,t1 where companynr*10 = 37*10;
- #
- # Search with a table reference and without a key.
- # t3 will be the main table.
- #
- select fld3,period,price,price2 from t2,t3 where t2.fld1=t3.t2nr and period >= 1001 and period <= 1002 and t2.companynr = 37 order by fld3,period, price;
- #
- # Search with an interval on a table with full key on reference table.
- # Here t2 will be the main table and only records matching the
- # t2nr will be checked.
- #
- select t2.fld1,fld3,period,price,price2 from t2,t3 where t2.fld1>= 18201 and t2.fld1 <= 18811 and t2.fld1=t3.t2nr and period = 1001 and t2.companynr = 37;
- #
- # We need another table for join stuff..
- #
- drop table if exists company;
- create table t4 (
- companynr tinyint(2) unsigned zerofill NOT NULL default '00',
- companyname char(30) NOT NULL default '',
- PRIMARY KEY (companynr),
- UNIQUE KEY companyname(companyname)
- ) TYPE=MyISAM MAX_ROWS=50 PACK_KEYS=1 COMMENT='companynames';
- INSERT INTO t4 (companynr, companyname) VALUES (29,'company 1');
- INSERT INTO t4 (companynr, companyname) VALUES (34,'company 2');
- INSERT INTO t4 (companynr, companyname) VALUES (36,'company 3');
- INSERT INTO t4 (companynr, companyname) VALUES (37,'company 4');
- INSERT INTO t4 (companynr, companyname) VALUES (40,'company 5');
- INSERT INTO t4 (companynr, companyname) VALUES (41,'company 6');
- INSERT INTO t4 (companynr, companyname) VALUES (53,'company 7');
- INSERT INTO t4 (companynr, companyname) VALUES (58,'company 8');
- INSERT INTO t4 (companynr, companyname) VALUES (65,'company 9');
- INSERT INTO t4 (companynr, companyname) VALUES (68,'company 10');
- INSERT INTO t4 (companynr, companyname) VALUES (50,'company 11');
- INSERT INTO t4 (companynr, companyname) VALUES (00,'Unknown');
- #
- # Test of stright join to force a full join.
- #
- select STRAIGHT_JOIN t2.companynr,companyname from t4,t2 where t2.companynr=t4.companynr group by t2.companynr;
- select SQL_SMALL_RESULT t2.companynr,companyname from t4,t2 where t2.companynr=t4.companynr group by t2.companynr;
- #
- # Full join (same alias)
- #
- select * from t1,t1 t12;
- select t2.fld1,t22.fld1 from t2,t2 t22 where t2.fld1 >= 250501 and t2.fld1 <= 250505 and t22.fld1 >= 250501 and t22.fld1 <= 250505;
- #
- # Test of left join.
- #
- select t2.companynr,companyname from t2 left join t4 using (companynr) where t4.companynr is null;
- explain select t2.companynr,companyname from t2 left join t4 using (companynr) where t4.companynr is null;
- explain select t2.companynr,companyname from t4 left join t2 using (companynr) where t2.companynr is null;
- #
- # Joins with forms.
- #
- select distinct t2.companynr,t4.companynr from t2,t4 where t2.companynr=t4.companynr+1;
- explain select distinct t2.companynr,t4.companynr from t2,t4 where t2.companynr=t4.companynr+1;
- #
- # Search using 'or' with the same referens group.
- # An interval search will be done first with the first table and after that
- # the other table is referenced with a key with a 'test if key in use' for
- # each record
- #
- select t2.fld1,t2.companynr,fld3,period from t3,t2 where t2.fld1 = 38208 and t2.fld1=t3.t2nr and period = 1008 or t2.fld1 = 38008 and t2.fld1 =t3.t2nr and period = 1008;
- select t2.fld1,t2.companynr,fld3,period from t3,t2 where (t2.fld1 = 38208 or t2.fld1 = 38008) and t2.fld1=t3.t2nr and period>=1008 and period<=1009;
- select t2.fld1,t2.companynr,fld3,period from t3,t2 where (t3.t2nr = 38208 or t3.t2nr = 38008) and t2.fld1=t3.t2nr and period>=1008 and period<=1009;
- #
- # Test of many parenthesis levels
- #
- select period from t1 where (((period > 0) or period < 10000 or (period = 1900)) and (period=1900 and period <= 1901) or (period=1903 and (period=1903)) and period>=1902) or ((period=1904 or period=1905) or (period=1906 or period>1907)) or (period=1908 and period = 1909);
- select period from t1 where ((period > 0 and period < 1) or (((period > 0 and period < 100) and (period > 10)) or (period > 10)) or (period > 0 and (period > 5 or period > 6)));
- select a.fld1 from t2 as a,t2 b where ((a.fld1 = 250501 and a.fld1=b.fld1) or a.fld1=250502 or a.fld1=250503 or (a.fld1=250505 and a.fld1<=b.fld1 and b.fld1>=a.fld1)) and a.fld1=b.fld1;
- select fld1 from t2 where fld1 in (250502,98005,98006,250503,250605,250606) and fld1 >=250502 and fld1 not in (250605,250606);
- select fld1 from t2 where fld1 between 250502 and 250504;
- select fld3 from t2 where (((fld3 like "_%L%" ) or (fld3 like "%ok%")) and ( fld3 like "L%" or fld3 like "G%")) and fld3 like "L%" ;
- #
- # Group on one table.
- # optimizer: sort table by group and send rows.
- #
- select count(*) from t1;
- select companynr,count(*),sum(fld1) from t2 group by companynr;
- select companynr,count(*) from t2 group by companynr order by companynr desc limit 5;
- select count(*),min(fld4),max(fld4),sum(fld1),avg(fld1),std(fld1) from t2 where companynr = 34 and fld4<>"";
- select companynr,count(*),min(fld4),max(fld4),sum(fld1),avg(fld1),std(fld1) from t2 group by companynr limit 3;
- select companynr,t2nr,count(price),sum(price),min(price),max(price),avg(price) from t3 where companynr = 37 group by companynr,t2nr limit 10;
- select /*! SQL_SMALL_RESULT */ companynr,t2nr,count(price),sum(price),min(price),max(price),avg(price) from t3 where companynr = 37 group by companynr,t2nr limit 10;
- select companynr,count(price),sum(price),min(price),max(price),avg(price) from t3 group by companynr ;
- select distinct mod(companynr,10) from t4 group by companynr;
- select distinct 1 from t4 group by companynr;
- select count(distinct fld1) from t2;
- select companynr,count(distinct fld1) from t2 group by companynr;
- select companynr,count(*) from t2 group by companynr;
- select companynr,count(distinct concat(fld1,repeat(65,1000))) from t2 group by companynr;
- select companynr,count(distinct concat(fld1,repeat(65,200))) from t2 group by companynr;
- select companynr,count(distinct floor(fld1/100)) from t2 group by companynr;
- select companynr,count(distinct concat(repeat(65,1000),floor(fld1/100))) from t2 group by companynr;
- #
- # group with where on a key field
- #
- select sum(fld1),fld3 from t2 where fld3="Romans" group by fld1 limit 10;
- select name,count(*) from t3 where name='cloakroom' group by name;
- select name,count(*) from t3 where name='cloakroom' and price>10 group by name;
- select count(*) from t3 where name='cloakroom' and price2=823742;
- select name,count(*) from t3 where name='cloakroom' and price2=823742 group by name;
- select name,count(*) from t3 where name >= "extramarital" and price <= 39654943 group by name;
- select t2.fld3,count(*) from t2,t3 where t2.fld1=158402 and t3.name=t2.fld3 group by t3.name;
- #
- # Group with extra not group fields.
- #
- select companynr|0,companyname from t4 group by 1;
- select t2.companynr,companyname,count(*) from t2,t4 where t2.companynr=t4.companynr group by t2.companynr order by companyname;
- select t2.fld1,count(*) from t2,t3 where t2.fld1=158402 and t3.name=t2.fld3 group by t3.name;
- #
- # Calculation with group functions
- #
- select sum(Period)/count(*) from t1;
- select companynr,count(price) as "count",sum(price) as "sum" ,sum(price)/count(price)-avg(price) as "diff",(0+count(price))*companynr as func from t3 group by companynr;
- select companynr,sum(price)/count(price) as avg from t3 group by companynr having avg > 70000000 order by avg;
- #
- # Group with order on not first table
- # optimizer: sort table by group and write group records to tmp table.
- # sort tmp_table and send rows.
- #
- select companynr,count(*) from t2 group by companynr order by 2 desc;
- select companynr,count(*) from t2 where companynr > 40 group by companynr order by 2 desc;
- select t2.fld4,t2.fld1,count(price),sum(price),min(price),max(price),avg(price) from t3,t2 where t3.companynr = 37 and t2.fld1 = t3.t2nr group by fld1,t2.fld4;
- #
- # group by with many tables
- # optimizer: create tmp table with group-by uniq index.
- # write with update to tmp table.
- # sort tmp table according to order (or group if no order)
- # send rows
- #
- select t3.companynr,fld3,sum(price) from t3,t2 where t2.fld1 = t3.t2nr and t3.companynr = 512 group by companynr,fld3;
- select t2.companynr,count(*),min(fld3),max(fld3),sum(price),avg(price) from t2,t3 where t3.companynr >= 30 and t3.companynr <= 58 and t3.t2nr = t2.fld1 and 1+1=2 group by t2.companynr;
- #
- # group with many tables and long group on many tables. group on formula
- # optimizer: create tmp table with neaded fields
- # sort tmp table by group and calculate sums to new table
- # if different order by than group, sort tmp table
- # send rows
- #
- select t3.companynr+0,t3.t2nr,fld3,sum(price) from t3,t2 where t2.fld1 = t3.t2nr and t3.companynr = 37 group by 1,t3.t2nr,fld3,fld3,fld3,fld3,fld3 order by fld1;
- #
- # WHERE const folding
- # optimize: If there is a "field = const" part in the where, change all
- # instances of field in the and level to const.
- # All instances of const = const are checked once and removed.
- #
- #
- # Where -> t3.t2nr = 98005 and t2.fld1 = 98005
- #
- select sum(price) from t3,t2 where t2.fld1 = t3.t2nr and t3.companynr = 512 and t3.t2nr = 38008 and t2.fld1 = 38008 or t2.fld1= t3.t2nr and t3.t2nr = 38008 and t2.fld1 = 38008;
- select t2.fld1,sum(price) from t3,t2 where t2.fld1 = t3.t2nr and t3.companynr = 512 and t3.t2nr = 38008 and t2.fld1 = 38008 or t2.fld1 = t3.t2nr and t3.t2nr = 38008 and t2.fld1 = 38008 or t3.t2nr = t2.fld1 and t2.fld1 = 38008 group by t2.fld1;
- explain select fld3 from t2 where 1>2 or 2>3;
- explain select fld3 from t2 where fld1=fld1;
- #
- # HAVING
- #
- select companynr,fld1 from t2 HAVING fld1=250501 or fld1=250502;
- select companynr,fld1 from t2 WHERE fld1>=250501 HAVING fld1<=250502;
- select companynr,count(*) as count,sum(fld1) as sum from t2 group by companynr having count > 40 and sum/count >= 120000;
- select companynr from t2 group by companynr having count(*) > 40 and sum(fld1)/count(*) >= 120000 ;
- select t2.companynr,companyname,count(*) from t2,t4 where t2.companynr=t4.companynr group by companyname having t2.companynr >= 40;
- #
- # MIN(), MAX() and COUNT() optimizing
- #
- select count(*) from t2;
- select count(*) from t2 where fld1 < 098024;
- select min(fld1) from t2 where fld1>= 098024;
- select max(fld1) from t2 where fld1>= 098024;
- select count(*) from t3 where price2=76234234;
- select count(*) from t3 where companynr=512 and price2=76234234;
- explain select min(fld1),max(fld1),count(*) from t2;
- select min(fld1),max(fld1),count(*) from t2;
- select min(t2nr),max(t2nr) from t3 where t2nr=2115 and price2=823742;
- select count(*),min(t2nr),max(t2nr) from t3 where name='spates' and companynr=78;
- select t2nr,count(*) from t3 where name='gems' group by t2nr limit 20;
- select max(t2nr) from t3 where price=983543950;
- #
- # Test of alias
- #
- select t1.period from t3 = t1 limit 1;
- select t1.period from t1 as t1 limit 1;
- select t1.period as "Nuvarande period" from t1 as t1 limit 1;
- select period as ok_period from t1 limit 1;
- select period as ok_period from t1 group by ok_period limit 1;
- select 1+1 as summa from t1 group by summa limit 1;
- select period as "Nuvarande period" from t1 group by "Nuvarande period" limit 1;
- #
- # Some simple show commands
- #
- show tables;
- show tables from test like "s%";
- show tables from test like "t?";
- show full columns from t2;
- show full columns from t2 from test like 'f%';
- show full columns from t2 from test like 's%';
- show keys from t2;
- #
- # Drop the test tables
- #
- drop table t4, t3,t2, t1;