common-tests.inc

#
# This file contains a generic set of test that is run from
# different test scripts to test for example ssl encrypted
# and compressed connection
#
#

#
# Simple select test
#

--disable_warnings
drop table if exists t1,t2,t3,t4;
--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');
INSERT INTO t2 VALUES (290,076101,36,'fatty','surreptitious','sanding','A');
INSERT INTO t2 VALUES (291,076102,36,'eastbound','Choctaw','contributorily','');
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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 (551,148503,29,'fifteenth','disobedience','lacerating','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 (560,155204,29,'dull','corny','dipole','');
INSERT INTO t2 VALUES (561,155205,29,'weekly','megabytes','machining','0');
INSERT INTO t2 VALUES (562,156001,29,'wetness','chancellor','therefore','');
INSERT INTO t2 VALUES (563,156002,29,'visualized','bulk','Telefunken','');
INSERT INTO t2 VALUES (564,156102,29,'Tannenbaum','commits','salvaging','');
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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 (590,166102,50,'hamming','simultaneous','endpoint','');
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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
#

--replace_column 10 # 11 #
explain select t2.fld3 from t2 where fld3 = 'honeysuckle';
--replace_column 10 # 11 #
explain select fld3 from t2 ignore index (fld3) where fld3 = 'honeysuckle';
--replace_column 10 # 11 #
explain select fld3 from t2 use index (fld1) where fld3 = 'honeysuckle';
--replace_column 10 # 11 #
explain select fld3 from t2 use index (fld3) where fld3 = 'honeysuckle';
--replace_column 10 # 11 #
explain select fld3 from t2 use index (fld1,fld3) where fld3 = 'honeysuckle';

#
# NOTE NOTE NOTE
# The next should give an error
#

-- error 1176
explain select fld3 from t2 ignore index (fld3,not_used);
-- error 1176
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;
--replace_column 10 # 11 #
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";
--replace_column 10 # 11 #
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;
--replace_column 10 # 11 #
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.
#

--sorted_result
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 BIG_TABLES=1;
select distinct concat(fld3," ",fld3) as namn from t2,t3 where t2.fld1=t3.t2nr order by namn limit 10;
SET BIG_TABLES=0;
--source include/turn_off_only_full_group_by.inc
select distinct concat(fld3," ",fld3) from t2,t3 where t2.fld1=t3.t2nr order by fld3 limit 10;
--source include/restore_sql_mode_after_turn_off_only_full_group_by.inc
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 BIG_TABLES=1; # Force use of MyISAM
select distinct fld3,count(*) from t2 group by companynr,fld3 limit 10;
SET 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
#

--replace_column 10 # 11 #
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
#

--replace_column 10 # 11 #
explain select * from t3 as t1,t3 where t1.period=t3.period order by t3.period;
--replace_column 10 # 11 #
explain select * from t3 as t1,t3 where t1.period=t3.period order by t3.period limit 10;
--replace_column 10 # 11 #
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;

--replace_column 10 # 11 #
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 order by fld3;

#
# 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);

analyze table t2,t4;
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;
--replace_column 10 #
explain select t2.companynr,companyname from t2 left join t4 using (companynr) where t4.companynr is null;
--replace_column 10 #
explain select t2.companynr,companyname from t4 left join t2 using (companynr) where t2.companynr is null;

select companynr,companyname from t2 left join t4 using (companynr) where companynr is null;
select count(*) from t2 left join t4 using (companynr) where companynr is not null;
--replace_column 10 #
explain select companynr,companyname from t2 left join t4 using (companynr) where companynr is null;
--replace_column 10 #
explain select companynr,companyname from t4 left join t2 using (companynr) where companynr is null;
delete from t2 where fld1=999999;

#
# Test left join optimization

--replace_column 10 # 11 #
explain select t2.companynr,companyname from t4 left join t2 using (companynr) where t2.companynr > 0;
--replace_column 10 # 11 #
explain select t2.companynr,companyname from t4 left join t2 using (companynr) where t2.companynr > 0 or t2.companynr < 0;
--replace_column 10 # 11 #
explain select t2.companynr,companyname from t4 left join t2 using (companynr) where t2.companynr > 0 and t4.companynr > 0;

--replace_column 10 # 11 #
explain select companynr,companyname from t4 left join t2 using (companynr) where companynr > 0;
--replace_column 10 # 11 #
explain select companynr,companyname from t4 left join t2 using (companynr) where companynr > 0 or companynr < 0;
--replace_column 10 # 11 #
explain select companynr,companyname from t4 left join t2 using (companynr) where companynr > 0 and companynr > 0;
# Following can't be optimized
--replace_column 10 # 11 #
explain select t2.companynr,companyname from t4 left join t2 using (companynr) where t2.companynr > 0 or t2.companynr is null;
--replace_column 10 # 11 #
explain select t2.companynr,companyname from t4 left join t2 using (companynr) where t2.companynr > 0 or t2.companynr < 0 or t4.companynr > 0;
--replace_column 10 # 11 #
explain select t2.companynr,companyname from t4 left join t2 using (companynr) where ifnull(t2.companynr,1)>0;

--replace_column 10 # 11 #
explain select companynr,companyname from t4 left join t2 using (companynr) where companynr > 0 or companynr is null;
--replace_column 10 # 11 #
explain select companynr,companyname from t4 left join t2 using (companynr) where companynr > 0 or companynr < 0 or companynr > 0;
--replace_column 10 # 11 #
explain select companynr,companyname from t4 left join t2 using (companynr) where ifnull(companynr,1)>0;

#
# Joins with forms.
#

select distinct t2.companynr,t4.companynr from t2,t4 where t2.companynr=t4.companynr+1;
--replace_column 10 # 11 #
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<>"";
--replace_column 10 # 11 #
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.
#

--source include/turn_off_only_full_group_by.inc
select companynr|0,companyname from t4 group by 1;
--source include/restore_sql_mode_after_turn_off_only_full_group_by.inc

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;

--replace_column 10 # 11 #
explain select fld3 from t2 where 1>2 or 2>3;
--replace_column 10 # 11 #
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;
--replace_column 10 # 11 #
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;
--source include/turn_off_only_full_group_by.inc
select period as "Nuvarande period" from t1 group by "Nuvarande period" limit 1;
--source include/restore_sql_mode_after_turn_off_only_full_group_by.inc

#
# 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%';
--replace_column 7 #
show keys from t2;

drop table t4, t3, t2, t1;

SET sql_mode = 'NO_ENGINE_SUBSTITUTION';
CREATE TABLE t1 (
  cont_nr int(11) NOT NULL auto_increment,
  ver_nr int(11) NOT NULL default '0',
  aufnr int(11) NOT NULL default '0',
  username varchar(50) NOT NULL default '',
  hdl_nr int(11) NOT NULL default '0',
  eintrag date NOT NULL default '0000-00-00',
  st_klasse varchar(40) NOT NULL default '',
  st_wert varchar(40) NOT NULL default '',
  st_zusatz varchar(40) NOT NULL default '',
  st_bemerkung varchar(255) NOT NULL default '',
  kunden_art varchar(40) NOT NULL default '',
  mcbs_knr int(11) default NULL,
  mcbs_aufnr int(11) NOT NULL default '0',
  schufa_status char(1) default '?',
  bemerkung text,
  wirknetz text,
  wf_igz int(11) NOT NULL default '0',
  tarifcode varchar(80) default NULL,
  recycle char(1) default NULL,
  sim varchar(30) default NULL,
  mcbs_tpl varchar(30) default NULL,
  emp_nr int(11) NOT NULL default '0',
  laufzeit int(11) default NULL,
  hdl_name varchar(30) default NULL,
  prov_hdl_nr int(11) NOT NULL default '0',
  auto_wirknetz varchar(50) default NULL,
  auto_billing varchar(50) default NULL,
  touch timestamp NOT NULL,
  kategorie varchar(50) default NULL,
  kundentyp varchar(20) NOT NULL default '',
  sammel_rech_msisdn varchar(30) NOT NULL default '',
  p_nr varchar(9) NOT NULL default '',
  suffix char(3) NOT NULL default '',
  PRIMARY KEY (cont_nr),
  KEY idx_aufnr(aufnr),
  KEY idx_hdl_nr(hdl_nr),
  KEY idx_st_klasse(st_klasse),
  KEY ver_nr(ver_nr),
  KEY eintrag_idx(eintrag),
  KEY emp_nr_idx(emp_nr),
  KEY wf_igz(wf_igz),
  KEY touch(touch),
  KEY hdl_tag(eintrag,hdl_nr),
  KEY prov_hdl_nr(prov_hdl_nr),
  KEY mcbs_aufnr(mcbs_aufnr),
  KEY kundentyp(kundentyp),
  KEY p_nr(p_nr,suffix)
) ENGINE=MyISAM;
SET sql_mode = default;
INSERT INTO t1 VALUES (3359356,405,3359356,'Mustermann Musterfrau',52500,'2000-05-20','workflow','Auftrag erledigt','Originalvertrag eingegangen und geprüft','','privat',1485525,2122316,'+','','N',1909160,'MobilComSuper92000D2',NULL,NULL,'MS9ND2',3,24,'MobilCom Shop Koeln',52500,NULL,'auto',20010202105916,'Mobilfunk','PP','','','');
INSERT INTO t1 VALUES (3359357,468,3359357,'Mustermann Musterfrau',7001,'2000-05-20','workflow','Auftrag erledigt','Originalvertrag eingegangen und geprüft','','privat',1503580,2139699,'+','','P',1909171,'MobilComSuper9D1T10SFreisprech(Akquise)',NULL,NULL,'MS9NS1',327,24,'MobilCom Intern',7003,NULL,'auto',20010202105916,'Mobilfunk','PP','','','');
INSERT INTO t1 VALUES (3359358,407,3359358,'Mustermann Musterfrau',7001,'2000-05-20','workflow','Auftrag erledigt','Originalvertrag eingegangen und geprüft','','privat',1501358,2137473,'N','','N',1909159,'MobilComSuper92000D2',NULL,NULL,'MS9ND2',325,24,'MobilCom Intern',7003,NULL,'auto',20010202105916,'Mobilfunk','PP','','','');
INSERT INTO t1 VALUES (3359359,468,3359359,'Mustermann Musterfrau',7001,'2000-05-20','workflow','Auftrag erledigt','Originalvertrag eingegangen und geprüft','','privat',1507831,2143894,'+','','P',1909162,'MobilComSuper9D1T10SFreisprech(Akquise)',NULL,NULL,'MS9NS1',327,24,'MobilCom Intern',7003,NULL,'auto',20010202105916,'Mobilfunk','PP','','','');
INSERT INTO t1 VALUES (3359360,0,0,'Mustermann Musterfrau',29674907,'2000-05-20','workflow','Auftrag erledigt','Originalvertrag eingegangen und geprüft','','privat',1900169997,2414578,'+',NULL,'N',1909148,'',NULL,NULL,'RV99066_2',20,NULL,'POS',29674907,NULL,NULL,20010202105916,'Mobilfunk','','','97317481','007');
INSERT INTO t1 VALUES (3359361,406,3359361,'Mustermann Musterfrau',7001,'2000-05-20','workflow','Auftrag storniert','','(7001-84):Storno, Kd. möchte nicht mehr','privat',NULL,0,'+','','P',1909150,'MobilComSuper92000D1(Akquise)',NULL,NULL,'MS9ND1',325,24,'MobilCom Intern',7003,NULL,'auto',20010202105916,'Mobilfunk','PP','','','');
INSERT INTO t1 VALUES (3359362,406,3359362,'Mustermann Musterfrau',7001,'2000-05-20','workflow','Auftrag erledigt','Originalvertrag eingegangen und geprüft','','privat',1509984,2145874,'+','','P',1909154,'MobilComSuper92000D1(Akquise)',NULL,NULL,'MS9ND1',327,24,'MobilCom Intern',7003,NULL,'auto',20010202105916,'Mobilfunk','PP','','','');

--source include/turn_off_only_full_group_by.inc

--disable_ps_protocol
SELECT ELT(FIELD(kundentyp,'PP','PPA','PG','PGA','FK','FKA','FP','FPA','K','KA','V','VA',''), 'Privat (Private Nutzung)','Privat (Private Nutzung) Sitz im Ausland','Privat (geschaeftliche Nutzung)','Privat (geschaeftliche Nutzung) Sitz im Ausland','Firma (Kapitalgesellschaft)','Firma (Kapitalgesellschaft) Sitz im Ausland','Firma (Personengesellschaft)','Firma (Personengesellschaft) Sitz im Ausland','oeff. rechtl. Koerperschaft','oeff. rechtl. Koerperschaft Sitz im Ausland','Eingetragener Verein','Eingetragener Verein Sitz im Ausland','Typ unbekannt') AS Kundentyp ,kategorie FROM t1 WHERE hdl_nr < 2000000 AND kategorie IN ('Prepaid','Mobilfunk') AND st_klasse = 'Workflow' GROUP BY kundentyp ORDER BY kategorie;
--enable_ps_protocol

--source include/restore_sql_mode_after_turn_off_only_full_group_by.inc
drop table t1;