mariadb/mysql-test/t/select.test

#
# Find string "NOTE NOTE NOTE" in order to find some 'unsure' tests
#

#
# Simple select test
#

--disable_warnings
drop table if exists t1,t2,t3,t4;
# The following may be left from older tests
drop table if exists t1_1,t1_2,t9_1,t9_2,t1aa,t2aa;
drop view if exists v1;
--enable_warnings

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
#

--disable_query_log
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','');
INSERT INTO t2 VALUES (281,068502,36,'anesthetizing','provers','gutting','W');
INSERT INTO t2 VALUES (282,068503,36,'deaf','technically','surreptitious','');
INSERT INTO t2 VALUES (283,068602,36,'Brigham','Franklinizations','Choctaw','');
INSERT INTO t2 VALUES (284,068603,36,'title','considered','cooks','');
INSERT INTO t2 VALUES (285,068701,36,'coarse','tinnily','millivolt','FAS');
INSERT INTO t2 VALUES (286,068702,36,'combinations','uninterruptedly','counterpoise','');
INSERT INTO t2 VALUES (287,068703,36,'grayness','whistled','Gothicism','');
INSERT INTO t2 VALUES (288,076001,36,'innumerable','automate','feminine','');
INSERT INTO t2 VALUES (289,076002,36,'Caroline','gutting','metaphysically','W');
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INSERT INTO t2 VALUES (432,126003,36,'mirror','Edenization','forgivably','FAS');
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INSERT INTO t2 VALUES (493,138006,36,'advertising','ropers','target','FAS');
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INSERT INTO t2 VALUES (500,138105,36,'Persian','Heusen','Nadia','W');
INSERT INTO t2 VALUES (501,138201,36,'analog','target','estimating','FAS');
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INSERT INTO t2 VALUES (503,138303,36,'Taoist','congresswoman','fifteenth','A');
INSERT INTO t2 VALUES (504,138304,36,'suspend','Katherine','Colombo','');
INSERT INTO t2 VALUES (505,138401,29,'relegated','titter','survey','A');
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INSERT INTO t2 VALUES (519,142701,29,'Grady','circumference','lockings','');
INSERT INTO t2 VALUES (520,143001,29,'quiets','dull','thugs','FAS');
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INSERT INTO t2 VALUES (532,148011,29,'Moll','stratifications','search','A');
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INSERT INTO t2 VALUES (544,148101,29,'Katherine','Beatrice','captivated','A');
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INSERT INTO t2 VALUES (555,150701,29,'obtain','aims','bulk','A');
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INSERT INTO t2 VALUES (558,155202,36,'lights','saucepans','deputies','');
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INSERT INTO t2 VALUES (563,156002,29,'visualized','bulk','Telefunken','');
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INSERT INTO t2 VALUES (579,158203,29,'Patrice','spiritual','voltage','W');
INSERT INTO t2 VALUES (580,158204,29,'search','beguiles','sash','');
INSERT INTO t2 VALUES (581,158301,29,'Angeles','Trobriand','anaerobic','A');
INSERT INTO t2 VALUES (582,158302,29,'semblance','fleeing','simultaneous','A');
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INSERT INTO t2 VALUES (585,158305,29,'retrace','provers','shouted','A');
INSERT INTO t2 VALUES (586,158306,29,'lockout','aeronautic','freakish','');
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INSERT INTO t2 VALUES (588,160301,29,'helmsman','sash','commercially','');
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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','');
--enable_query_log

#
# 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)
);

--disable_query_log
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);
--enable_query_log

create temporary table tmp engine = myisam 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 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 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 SQL_BIG_TABLES=1; # Force use of MyISAM
select distinct fld3,count(*) from t2 group by companynr,fld3 limit 10;
SET 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;

#
# Some test with ORDER BY and limit
#

explain select * from t3 as t1,t3 where t1.period=t3.period order by t3.period;
explain select * from t3 as t1,t3 where t1.period=t3.period order by t3.period limit 10;
explain select * from t3 as t1,t3 where t1.period=t3.period order by t1.period limit 10;

#
# 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..
#

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)
) ENGINE=MyISAM MAX_ROWS=50 PACK_KEYS=1 COMMENT='companynames';

--disable_query_log
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');
--enable_query_log

#
# 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.
#
insert into t2 (fld1, companynr) values (999999,99);

select t2.companynr,companyname from t2 left join t4 using (companynr) where t4.companynr is null;
select count(*) from t2 left join t4 using (companynr) where t4.companynr is not 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;
delete from t2 where fld1=999999;

#
# Test left join optimization

explain select t2.companynr,companyname from t4 left join t2 using (companynr) where t2.companynr > 0;
explain select t2.companynr,companyname from t4 left join t2 using (companynr) where t2.companynr > 0 or t2.companynr < 0;
explain select t2.companynr,companyname from t4 left join t2 using (companynr) where t2.companynr > 0 and t4.companynr > 0;
# Following can't be optimized
explain select t2.companynr,companyname from t4 left join t2 using (companynr) where t2.companynr > 0 or t2.companynr is null;
explain select t2.companynr,companyname from t4 left join t2 using (companynr) where t2.companynr > 0 or t2.companynr < 0 or t4.companynr > 0;
explain select t2.companynr,companyname from t4 left join t2 using (companynr) where ifnull(t2.companynr,1)>0;

#
# 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),variance(fld1) from t2 where companynr = 34 and fld4<>"";
explain extended select count(*),min(fld4),max(fld4),sum(fld1),avg(fld1),std(fld1),variance(fld1) from t2 where companynr = 34 and fld4<>"";
select companynr,count(*),min(fld4),max(fld4),sum(fld1),avg(fld1),std(fld1),variance(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" ,abs(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;
# PS does correct pre-zero here. MySQL can't do it as it returns a number.
--disable_ps_protocol
select min(fld1) from t2 where fld1>= 098024;
--enable_ps_protocol
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;
# PS does correct pre-zero here. MySQL can't do it as it returns a number.
--disable_ps_protocol
select min(fld1),max(fld1),count(*) from t2;
--enable_ps_protocol
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?";
# We mask out the Privileges column because it differs with embedded server
--replace_column 8 #
show full columns from t2;
--replace_column 8 #
show full columns from t2 from test like 'f%';
--replace_column 8 #
show full columns from t2 from test like 's%';
show keys from t2;

drop table t4, t3, t2, t1;

#
# Test of DO
#

DO 1;
DO benchmark(100,1+1),1,1;

#
# Bug #6449: do default;
#

--error ER_PARSE_ERROR
do default;
--error ER_BAD_FIELD_ERROR
do foobar;

#
# random in WHERE clause
#

CREATE TABLE t1 (
  id mediumint(8) unsigned NOT NULL auto_increment,
  pseudo varchar(35) NOT NULL default '',
  PRIMARY KEY  (id),
  UNIQUE KEY pseudo (pseudo)
);
INSERT INTO t1 (pseudo) VALUES ('test');
INSERT INTO t1 (pseudo) VALUES ('test1');
SELECT 1 as rnd1 from t1 where rand() > 2;
DROP TABLE t1;

#
# Test of bug with SUM(CASE...)
#

CREATE TABLE t1 (gvid int(10) unsigned default NULL,  hmid int(10) unsigned default NULL,  volid int(10) unsigned default NULL,  mmid int(10) unsigned default NULL,  hdid int(10) unsigned default NULL,  fsid int(10) unsigned default NULL,  ctid int(10) unsigned default NULL,  dtid int(10) unsigned default NULL,  cost int(10) unsigned default NULL,  performance int(10) unsigned default NULL,  serialnumber bigint(20) unsigned default NULL,  monitored tinyint(3) unsigned default '1',  removed tinyint(3) unsigned default '0',  target tinyint(3) unsigned default '0',  dt_modified timestamp NOT NULL,  name varchar(255) binary default NULL,  description varchar(255) default NULL,  UNIQUE KEY hmid (hmid,volid)) ENGINE=MyISAM;
INSERT INTO t1 VALUES (200001,2,1,1,100,1,1,1,0,0,0,1,0,1,20020425060057,'\\\\ARKIVIO-TESTPDC\\E$',''),(200002,2,2,1,101,1,1,1,0,0,0,1,0,1,20020425060057,'\\\\ARKIVIO-TESTPDC\\C$',''),(200003,1,3,2,NULL,NULL,NULL,NULL,NULL,NULL,NULL,1,0,1,20020425060427,'c:',NULL);
CREATE TABLE t2 (  hmid int(10) unsigned default NULL,  volid int(10) unsigned default NULL,  sampletid smallint(5) unsigned default NULL,  sampletime datetime default NULL,  samplevalue bigint(20) unsigned default NULL,  KEY idx1 (hmid,volid,sampletid,sampletime)) ENGINE=MyISAM;
INSERT INTO t2 VALUES (1,3,10,'2002-06-01 08:00:00',35),(1,3,1010,'2002-06-01 12:00:01',35);
# Disable PS becasue we get more warnings from PS than from normal execution
--disable_ps_protocol
SELECT a.gvid, (SUM(CASE b.sampletid WHEN 140 THEN b.samplevalue ELSE 0 END)) as the_success,(SUM(CASE b.sampletid WHEN 141 THEN b.samplevalue ELSE 0 END)) as the_fail,(SUM(CASE b.sampletid WHEN 142 THEN b.samplevalue ELSE 0 END)) as the_size,(SUM(CASE b.sampletid WHEN 143 THEN b.samplevalue ELSE 0 END)) as the_time FROM t1 a, t2 b WHERE a.hmid = b.hmid AND a.volid = b.volid AND b.sampletime >= 'wrong-date-value' AND b.sampletime < 'wrong-date-value' AND b.sampletid IN (140, 141, 142, 143) GROUP BY a.gvid;
--enable_ps_protocol
# Testing the same select with NULL's instead of invalid datetime values
SELECT a.gvid, (SUM(CASE b.sampletid WHEN 140 THEN b.samplevalue ELSE 0 END)) as the_success,(SUM(CASE b.sampletid WHEN 141 THEN b.samplevalue ELSE 0 END)) as the_fail,(SUM(CASE b.sampletid WHEN 142 THEN b.samplevalue ELSE 0 END)) as the_size,(SUM(CASE b.sampletid WHEN 143 THEN b.samplevalue ELSE 0 END)) as the_time FROM t1 a, t2 b WHERE a.hmid = b.hmid AND a.volid = b.volid AND b.sampletime >= NULL AND b.sampletime < NULL AND b.sampletid IN (140, 141, 142, 143) GROUP BY a.gvid;
DROP TABLE t1,t2;

#
# Test of bigint comparision
#

create table  t1 (  A_Id bigint(20) NOT NULL default '0',  A_UpdateBy char(10) NOT NULL default '',  A_UpdateDate bigint(20) NOT NULL default '0',  A_UpdateSerial int(11) NOT NULL default '0',  other_types bigint(20) NOT NULL default '0',  wss_type bigint(20) NOT NULL default '0');
INSERT INTO t1 VALUES (102935998719055004,'brade',1029359987,2,102935229116544068,102935229216544093);
select wss_type from t1 where wss_type ='102935229216544106';
select wss_type from t1 where wss_type ='102935229216544105';
select wss_type from t1 where wss_type ='102935229216544104';
select wss_type from t1 where wss_type ='102935229216544093';
select wss_type from t1 where wss_type =102935229216544093;
drop table t1;
select 1+2,"aaaa",3.13*2.0 into @a,@b,@c;
select @a;
select @b;
select @c;

#
# Test of removing redundant braces in the FROM part
# (We test each construct with the braced join to the left and right;
#  the latter case used to cause a syntax errors.)
#

create table t1 (a int not null auto_increment primary key);
insert into t1 values ();
insert into t1 values ();
insert into t1 values ();
# ,
select * from (t1 as t2 left join t1 as t3 using (a)), t1;
select * from t1, (t1 as t2 left join t1 as t3 using (a));
# stright_join
select * from (t1 as t2 left join t1 as t3 using (a)) straight_join t1;
select * from t1 straight_join (t1 as t2 left join t1 as t3 using (a));
# inner join on
select * from (t1 as t2 left join t1 as t3 using (a)) inner join t1 on t1.a>1;
select * from t1 inner join (t1 as t2 left join t1 as t3 using (a)) on t1.a>1;
# inner join using
select * from (t1 as t2 left join t1 as t3 using (a)) inner join t1 using ( a );
select * from t1 inner join (t1 as t2 left join t1 as t3 using (a)) using ( a );
# left [outer] join on
select * from (t1 as t2 left join t1 as t3 using (a)) left outer join t1 on t1.a>1;
select * from t1 left outer join (t1 as t2 left join t1 as t3 using (a)) on t1.a>1;
# left join using
select * from (t1 as t2 left join t1 as t3 using (a)) left join t1 using ( a );
select * from t1 left join (t1 as t2 left join t1 as t3 using (a)) using ( a );
# natural left join
select * from (t1 as t2 left join t1 as t3 using (a)) natural left join t1;
select * from t1 natural left join (t1 as t2 left join t1 as t3 using (a));
# right join on
select * from (t1 as t2 left join t1 as t3 using (a)) right join t1 on t1.a>1;
select * from t1 right join (t1 as t2 left join t1 as t3 using (a)) on t1.a>1;
# right [outer] joing using
select * from (t1 as t2 left join t1 as t3 using (a)) right outer join t1 using ( a );
select * from t1 right outer join (t1 as t2 left join t1 as t3 using (a)) using ( a );
# natural right join
select * from (t1 as t2 left join t1 as t3 using (a)) natural right join t1;
select * from t1 natural right join (t1 as t2 left join t1 as t3 using (a));
# natural join
select * from t1 natural join (t1 as t2 left join t1 as t3 using (a));
select * from (t1 as t2 left join t1 as t3 using (a)) natural join t1;
drop table t1;

CREATE TABLE t1 (  aa char(2),  id int(11) NOT NULL auto_increment,  t2_id int(11) NOT NULL default '0',  PRIMARY KEY  (id),  KEY replace_id (t2_id)) ENGINE=MyISAM;
INSERT INTO t1 VALUES ("1",8264,2506),("2",8299,2517),("3",8301,2518),("4",8302,2519),("5",8303,2520),("6",8304,2521),("7",8305,2522);
CREATE TABLE t2 ( id int(11) NOT NULL auto_increment,  PRIMARY KEY  (id)) ENGINE=MyISAM;
INSERT INTO t2 VALUES (2517), (2518), (2519), (2520), (2521), (2522);
select * from t1, t2 WHERE t1.t2_id = t2.id and t1.t2_id > 0   order by t1.id   LIMIT 0, 5;
drop table t1,t2;

#
# outer join, impossible on condition, where, and usable key for range
#
create table t1 (id1 int NOT NULL);
create table t2 (id2 int NOT NULL);
create table t3 (id3 int NOT NULL);
create table t4 (id4 int NOT NULL, id44 int NOT NULL, KEY (id4));

insert into t1 values (1);
insert into t1 values (2);
insert into t2 values (1);
insert into t4 values (1,1);

explain select * from t1 left join t2 on id1 = id2 left join t3 on id1 = id3
left join t4 on id3 = id4 where id2 = 1 or id4 = 1;
select * from t1 left join t2 on id1 = id2 left join t3 on id1 = id3
left join t4 on id3 = id4 where id2 = 1 or id4 = 1;

drop table t1,t2,t3,t4;
#
# Bug #2298
#

create table t1(s varchar(10) not null);
create table t2(s varchar(10) not null primary key);
create table t3(s varchar(10) not null primary key);
insert into t1 values ('one\t'), ('two\t');
insert into t2 values ('one\r'), ('two\t');
insert into t3 values ('one '), ('two\t');
select * from t1 where s = 'one';
select * from t2 where s = 'one';
select * from t3 where s = 'one';
select * from t1,t2 where t1.s = t2.s;
select * from t2,t3 where t2.s = t3.s;
drop table t1, t2, t3;

#
# Bug #3759
# Both queries should produce identical plans and results.
#
create table t1 (a integer,  b integer, index(a), index(b));
create table t2 (c integer,  d integer, index(c), index(d));
insert into t1 values (1,2), (2,2), (3,2), (4,2);
insert into t2 values (1,3), (2,3), (3,4), (4,4);
explain select * from t1 left join t2 on a=c where d in (4);
select * from t1 left join t2 on a=c where d in (4);
explain select * from t1 left join t2 on a=c where d = 4;
select * from t1 left join t2 on a=c where d = 4;
drop table t1, t2;

#
# Covering index is mentioned in EXPLAIN output for const tables (bug #5333)
#

CREATE TABLE t1 (
  i int(11) NOT NULL default '0',
  c char(10) NOT NULL default '',
  PRIMARY KEY  (i),
  UNIQUE KEY c (c)
) ENGINE=MyISAM;

INSERT INTO t1 VALUES (1,'a');
INSERT INTO t1 VALUES (2,'b');
INSERT INTO t1 VALUES (3,'c');

EXPLAIN SELECT i FROM t1 WHERE i=1;

DROP TABLE t1;

#
# Test case for bug 7520: a wrong cost of the index for a BLOB field
#

CREATE TABLE t1 ( a BLOB, INDEX (a(20)) );
CREATE TABLE t2 ( a BLOB, INDEX (a(20)) );

INSERT INTO t1 VALUES ('one'),('two'),('three'),('four'),('five');
INSERT INTO t2 VALUES ('one'),('two'),('three'),('four'),('five');

EXPLAIN SELECT * FROM t1 LEFT JOIN t2 USE INDEX (a) ON t1.a=t2.a;
EXPLAIN SELECT * FROM t1 LEFT JOIN t2 FORCE INDEX (a) ON t1.a=t2.a;

DROP TABLE t1, t2;

#
# Test case for bug 7098: substitution of a constant for a string field 
#

CREATE TABLE t1 ( city char(30) );
INSERT INTO t1 VALUES ('London');
INSERT INTO t1 VALUES ('Paris');

SELECT * FROM t1 WHERE city='London';
SELECT * FROM t1 WHERE city='london';
EXPLAIN SELECT * FROM t1 WHERE city='London' AND city='london';
SELECT * FROM t1 WHERE city='London' AND city='london';
EXPLAIN SELECT * FROM t1 WHERE city LIKE '%london%' AND city='London';
SELECT * FROM t1 WHERE city LIKE '%london%' AND city='London';

DROP TABLE t1;

#
# Bug#7425 inconsistent sort order on unsigned columns result of substraction
#

create table t1 (a int(11) unsigned, b int(11) unsigned);
insert into t1 values (1,0), (1,1), (1,2);
select a-b  from t1 order by 1;
select a-b , (a-b < 0)  from t1 order by 1;
select a-b as d, (a-b >= 0), b from t1 group by b having d >= 0;
select cast((a - b) as unsigned) from t1 order by 1;
drop table t1;


#
# Bug#8733 server accepts malformed query (multiply mentioned distinct)
#
create table t1 (a int(11));
select all all * from t1;
select distinct distinct * from t1;
--error 1221
select all distinct * from t1;
--error 1221
select distinct all * from t1;
drop table t1;

#
# Test for BUG#10095
#
CREATE TABLE t1 (
  kunde_intern_id int(10) unsigned NOT NULL default '0',
  kunde_id int(10) unsigned NOT NULL default '0',
  FK_firma_id int(10) unsigned NOT NULL default '0',
  aktuell enum('Ja','Nein') NOT NULL default 'Ja',
  vorname varchar(128) NOT NULL default '',
  nachname varchar(128) NOT NULL default '',
  geloescht enum('Ja','Nein') NOT NULL default 'Nein',
  firma varchar(128) NOT NULL default ''
);

INSERT INTO t1 VALUES 
  (3964,3051,1,'Ja','Vorname1','1Nachname','Nein','Print Schau XXXX'),
  (3965,3051111,1,'Ja','Vorname1111','1111Nachname','Nein','Print Schau XXXX');


SELECT kunde_id ,FK_firma_id ,aktuell, vorname, nachname, geloescht FROM t1
  WHERE
   (
      (
         ( '' != '' AND firma LIKE CONCAT('%', '', '%'))
         OR
         (vorname LIKE CONCAT('%', 'Vorname1', '%') AND 
          nachname LIKE CONCAT('%', '1Nachname', '%') AND 
          'Vorname1' != '' AND 'xxxx' != '')
      )
      AND
      (
        aktuell = 'Ja' AND geloescht = 'Nein' AND FK_firma_id = 2
      )
   )
 ;

SELECT kunde_id ,FK_firma_id ,aktuell, vorname, nachname,
geloescht FROM t1
  WHERE
   (
     (
       aktuell = 'Ja' AND geloescht = 'Nein' AND FK_firma_id = 2
     )
     AND
     (
         ( '' != '' AND firma LIKE CONCAT('%', '', '%')  )
         OR
         (  vorname LIKE CONCAT('%', 'Vorname1', '%') AND
nachname LIKE CONCAT('%', '1Nachname', '%') AND 'Vorname1' != '' AND
'xxxx' != '')
     )
   )
 ;

SELECT COUNT(*) FROM t1 WHERE 
( 0 OR (vorname LIKE '%Vorname1%' AND nachname LIKE '%1Nachname%' AND 1)) 
AND FK_firma_id = 2;

drop table t1;

#
# Test for Bug#8009, SELECT failed on bigint unsigned when using HEX
#

CREATE TABLE t1 (b BIGINT(20) UNSIGNED NOT NULL, PRIMARY KEY (b));
INSERT INTO t1 VALUES (0x8000000000000000);
SELECT b FROM t1 WHERE b=0x8000000000000000;
DROP TABLE t1;

#
# IN with outer join condition (BUG#9393)
#
CREATE TABLE `t1` ( `gid` int(11) default NULL, `uid` int(11) default NULL);

CREATE TABLE `t2` ( `ident` int(11) default NULL, `level` char(16) default NULL);
INSERT INTO `t2` VALUES (0,'READ');

CREATE TABLE `t3` ( `id` int(11) default NULL, `name` char(16) default NULL);
INSERT INTO `t3` VALUES (1,'fs');

select * from t3 left join t1 on t3.id = t1.uid, t2 where t2.ident in (0, t1.gid, t3.id, 0);

drop table t1,t2,t3;

#
# Test case for bug 7098: substitution of a constant for a string field 
#

CREATE TABLE t1 ( city char(30) );
INSERT INTO t1 VALUES ('London');
INSERT INTO t1 VALUES ('Paris');

SELECT * FROM t1 WHERE city='London';
SELECT * FROM t1 WHERE city='london';
EXPLAIN SELECT * FROM t1 WHERE city='London' AND city='london';
SELECT * FROM t1 WHERE city='London' AND city='london';
EXPLAIN SELECT * FROM t1 WHERE city LIKE '%london%' AND city='London';
SELECT * FROM t1 WHERE city LIKE '%london%' AND city='London';

DROP TABLE t1;

#
# Bug#7425 inconsistent sort order on unsigned columns result of substraction
#

create table t1 (a int(11) unsigned, b int(11) unsigned);
insert into t1 values (1,0), (1,1), (1,2);
select a-b  from t1 order by 1;
select a-b , (a-b < 0)  from t1 order by 1;
select a-b as d, (a-b >= 0), b from t1 group by b having d >= 0;
select cast((a - b) as unsigned) from t1 order by 1;
drop table t1;


#
# Bug#8733 server accepts malformed query (multiply mentioned distinct)
#
create table t1 (a int(11));
select all all * from t1;
select distinct distinct * from t1;
--error 1221
select all distinct * from t1;
--error 1221
select distinct all * from t1;
drop table t1;

#
# Test for bug #6474
#

CREATE TABLE t1 ( 
K2C4 varchar(4) character set latin1 collate latin1_bin NOT NULL default '', 
K4N4 varchar(4) character set latin1 collate latin1_bin NOT NULL default '0000', 
F2I4 int(11) NOT NULL default '0' 
) ENGINE=MyISAM DEFAULT CHARSET=latin1;

INSERT INTO t1 VALUES 
('W%RT', '0100',  1), 
('W-RT', '0100', 1), 
('WART', '0100', 1), 
('WART', '0200', 1), 
('WERT', '0100', 2), 
('WORT','0200', 2), 
('WT', '0100', 2), 
('W_RT', '0100', 2), 
('WaRT', '0100', 3), 
('WART', '0300', 3), 
('WRT' , '0400', 3), 
('WURM', '0500', 3), 
('W%T', '0600', 4), 
('WA%T', '0700', 4), 
('WA_T', '0800', 4);

SELECT K2C4, K4N4, F2I4 FROM t1
  WHERE  K2C4 = 'WART' AND 
        (F2I4 = 2 AND K2C4 = 'WART' OR (F2I4 = 2 OR K4N4 = '0200'));
SELECT K2C4, K4N4, F2I4 FROM t1
  WHERE  K2C4 = 'WART' AND (K2C4 = 'WART' OR K4N4 = '0200');

select found_rows();
select count(*) from t1;
select found_rows();
select count(*) from t1 limit 2,3;
select found_rows();
select SQL_CALC_FOUND_ROWS count(*) from t1 limit 2,3;
select found_rows();

DROP TABLE t1;

#
# Test case for bug 7520: a wrong cost of the index for a BLOB field
#

CREATE TABLE t1 ( a BLOB, INDEX (a(20)) );
CREATE TABLE t2 ( a BLOB, INDEX (a(20)) );

INSERT INTO t1 VALUES ('one'),('two'),('three'),('four'),('five');
INSERT INTO t2 VALUES ('one'),('two'),('three'),('four'),('five');

EXPLAIN SELECT * FROM t1 LEFT JOIN t2 USE INDEX (a) ON t1.a=t2.a;
EXPLAIN SELECT * FROM t1 LEFT JOIN t2 FORCE INDEX (a) ON t1.a=t2.a;

DROP TABLE t1, t2;


#
# Test case for bug 7098: substitution of a constant for a string field 
#

CREATE TABLE t1 ( city char(30) );
INSERT INTO t1 VALUES ('London');
INSERT INTO t1 VALUES ('Paris');

SELECT * FROM t1 WHERE city='London';
SELECT * FROM t1 WHERE city='london';
EXPLAIN SELECT * FROM t1 WHERE city='London' AND city='london';
SELECT * FROM t1 WHERE city='London' AND city='london';
EXPLAIN SELECT * FROM t1 WHERE city LIKE '%london%' AND city='London';
SELECT * FROM t1 WHERE city LIKE '%london%' AND city='London';

DROP TABLE t1;

#
# Bug#7425 inconsistent sort order on unsigned columns result of substraction
#

create table t1 (a int(11) unsigned, b int(11) unsigned);
insert into t1 values (1,0), (1,1), (1,2);
select a-b  from t1 order by 1;
select a-b , (a-b < 0)  from t1 order by 1;
select a-b as d, (a-b >= 0), b from t1 group by b having d >= 0;
select cast((a - b) as unsigned) from t1 order by 1;
drop table t1;

#
# Bug#8670
#
create table t1 (a int, b int);
create table t2 like t1;
select t1.a from (t1 inner join t2 on t1.a=t2.a) where t2.a=1;
select t1.a from ((t1 inner join t2 on t1.a=t2.a)) where t2.a=1;
select x.a, y.a, z.a from ( (t1 x inner join t2 y on x.a=y.a) inner join t2 z on y.a=z.a) WHERE x.a=1;
drop table t1,t2;

#
# Bug#9820
#

create table t1 (s1 varchar(5));
insert into t1 values ('Wall');
select min(s1) from t1 group by s1 with rollup;
drop table t1;

#
# Bug#9799
#

create table t1 (s1 int) engine=myisam;
insert into t1 values (0);
select avg(distinct s1) from t1 group by s1 with rollup;
drop table t1;

#
# Bug#9800
#

create table t1 (s1 int);
insert into t1 values (null),(1);
select distinct avg(s1) as x from t1 group by s1 with rollup;
drop table t1;


#
# Bug#8733 server accepts malformed query (multiply mentioned distinct)
#
create table t1 (a int(11));
select all all * from t1;
select distinct distinct * from t1;
--error 1221
select all distinct * from t1;
--error 1221
select distinct all * from t1;
drop table t1;


#
# Test case for bug 7520: a wrong cost of the index for a BLOB field
#

CREATE TABLE t1 ( a BLOB, INDEX (a(20)) );
CREATE TABLE t2 ( a BLOB, INDEX (a(20)) );

INSERT INTO t1 VALUES ('one'),('two'),('three'),('four'),('five');
INSERT INTO t2 VALUES ('one'),('two'),('three'),('four'),('five');

EXPLAIN SELECT * FROM t1 LEFT JOIN t2 USE INDEX (a) ON t1.a=t2.a;
EXPLAIN SELECT * FROM t1 LEFT JOIN t2 FORCE INDEX (a) ON t1.a=t2.a;

DROP TABLE t1, t2;

#
# Test for bug #10084: STRAIGHT_JOIN with ON expression 
#

CREATE TABLE t1 (a int);
CREATE TABLE t2 (a int);
INSERT INTO t1 VALUES (1), (2), (3), (4), (5);
INSERT INTO t2 VALUES (2), (4), (6);

SELECT t1.a FROM t1 STRAIGHT_JOIN t2 ON t1.a=t2.a;

EXPLAIN SELECT t1.a FROM t1 STRAIGHT_JOIN t2 ON t1.a=t2.a;
EXPLAIN SELECT t1.a FROM t1 INNER JOIN t2 ON t1.a=t2.a;

DROP TABLE t1,t2;

#
# Bug #10650
#

select x'10' + 0, X'10' + 0, b'10' + 0, B'10' + 0;
# Test for BUG#11700
CREATE TABLE t1 (
  acct_id int(11) NOT NULL default '0',
  profile_id smallint(6) default NULL,
  UNIQUE KEY t1$acct_id (acct_id),
  KEY t1$profile_id (profile_id)
);
INSERT INTO t1 VALUES (132,17),(133,18);

CREATE TABLE t2 (
  profile_id smallint(6) default NULL,
  queue_id int(11) default NULL,
  seq int(11) default NULL,
  KEY t2$queue_id (queue_id)
);
INSERT INTO t2 VALUES (17,31,4),(17,30,3),(17,36,2),(17,37,1);

CREATE TABLE t3 (
  id int(11) NOT NULL default '0',
  qtype int(11) default NULL,
  seq int(11) default NULL,
  warn_lvl int(11) default NULL,
  crit_lvl int(11) default NULL,
  rr1 tinyint(4) NOT NULL default '0',
  rr2 int(11) default NULL,
  default_queue tinyint(4) NOT NULL default '0',
  KEY t3$qtype (qtype),
  KEY t3$id (id)
);

INSERT INTO t3 VALUES (30,1,29,NULL,NULL,0,NULL,0),(31,1,28,NULL,NULL,0,NULL,0),
  (36,1,34,NULL,NULL,0,NULL,0),(37,1,35,NULL,NULL,0,121,0);

SELECT COUNT(*) FROM t1 a STRAIGHT_JOIN t2 pq STRAIGHT_JOIN t3 q 
WHERE 
  (pq.profile_id = a.profile_id) AND (a.acct_id = 132) AND 
  (pq.queue_id = q.id) AND (q.rr1 <> 1);

drop table t1,t2,t3;

#
# Bug #11482 Wrongly applied optimization was erroneously rejecting valid
#            rows 
create table t1 (f1 int);
insert into t1 values (1),(NULL);
create table t2 (f2 int, f3 int, f4 int);
create index idx1 on t2 (f4);
insert into t2 values (1,2,3),(2,4,6);
select A.f2 from t1 left join t2 A on A.f2 = f1 where A.f3=(select min(f3)
from  t2 C where A.f4 = C.f4) or A.f3 IS NULL; 
drop table t1,t2;
#
# Bug #11521 Negative integer keys incorrectly substituted for 0 during
#            range analysis.

create table t2 (a tinyint unsigned);
create index t2i on t2(a);
insert into t2 values (0), (254), (255);
explain select * from t2 where a > -1;
select * from t2 where a > -1;
drop table t2;

#
# Bug #11745: SELECT ... FROM DUAL with WHERE condition
#

CREATE TABLE t1 (a int, b int, c int);
INSERT INTO t1
  SELECT 50, 3, 3 FROM DUAL
    WHERE NOT EXISTS
      (SELECT * FROM t1 WHERE a = 50 AND b = 3);
SELECT * FROM t1;
INSERT INTO t1
  SELECT 50, 3, 3 FROM DUAL
    WHERE NOT EXISTS
      (SELECT * FROM t1 WHERE a = 50 AND b = 3);
SELECT * FROM t1;

DROP TABLE t1;