mariadb/mysql-test/suite/csv/csv.test
Monty c4cad8d50c MDEV-33449 improving repair of tables
This task is to ensure we have a clear definition and rules of how to
repair or optimize a table.

The rules are:

- REPAIR should be used with tables that are crashed and are
  unreadable (hardware issues with not readable blocks, blocks with
  'unexpected data' etc)
- OPTIMIZE table should be used to optimize the storage layout for the
  table (recover space for delete rows and optimize the index
  structure.
- ALTER TABLE table_name FORCE should be used to rebuild the .frm file
  (the table definition) and the table (with the original table row
  format). If the table is from and older MariaDB/MySQL release with a
  different storage format, it will convert the data to the new
  format. ALTER TABLE ... FORCE is used as part of mariadb-upgrade

Here follows some more background:

The 3 ways to repair a table are:
1) ALTER TABLE table_name FORCE" (not other options).
   As an alias we allow: "ALTER TABLE table_name ENGINE=original_engine"
2) "REPAIR TABLE" (without FORCE)
3) "OPTIMIZE TABLE"

All of the above commands will optimize row space usage (which means that
space will be needed to hold a temporary copy of the table) and
re-generate all indexes. They will also try to replicate the original
table definition as exact as possible.

For ALTER TABLE and "REPAIR TABLE without FORCE", the following will hold:
If the table is from an older MariaDB version and data conversion is
needed (for example for old type HASH columns, MySQL JSON type or new
TIMESTAMP format) "ALTER TABLE table_name FORCE, algorithm=COPY" will be
used.

The differences between the algorithms are
1) Will use the fastest algorithm the engine supports to do a full repair
   of the table (except if data conversions are is needed).
2) Will use the storage engine internal REPAIR facility (MyISAM, Aria).
   If the engine does not support REPAIR then
   "ALTER TABLE FORCE, ALGORITHM=COPY" will be used.
   If there was data incompatibilities (which means that FORCE was used)
   then there will be a warning after REPAIR that ALTER TABLE FORCE is
   still needed.
   The reason for this is that REPAIR may be able to go around data
   errors (wrong incompatible data, crashed or unreadable sectors) that
   ALTER TABLE cannot do.
3) Will use the storage engine internal OPTIMIZE. If engine does not
   support optimize, then "ALTER TABLE FORCE" is used.

The above will ensure that ALTER TABLE FORCE is able to
correct almost any errors in the row or index data.  In case of
corrupted blocks then REPAIR possible followed by ALTER TABLE is needed.
This is important as mariadb-upgrade executes ALTER TABLE table_name
FORCE for any table that must be re-created.

Bugs fixed with InnoDB tables when using ALTER TABLE FORCE:
- No error for INNODB_DEFAULT_ROW_FORMAT=COMPACT even if row length
  would be too wide. (Independent of innodb_strict_mode).
- Tables using symlinks will be symlinked after any of the above commands
  (Independent of the setting of --symbolic-links)

If one specifies an algorithm together with ALTER TABLE FORCE, things
will work as before (except if data conversion is required as then
the COPY algorithm is enforced).

ALTER TABLE .. OPTIMIZE ALL PARTITIONS will work as before.

Other things:
- FORCE argument added to REPAIR to allow one to first run internal
  repair to fix damaged blocks and then follow it with ALTER TABLE.
- REPAIR will not update frm_version if ha_check_for_upgrade() finds
  that table is still incompatible with current version. In this case the
  REPAIR will end with an error.
- REPAIR for storage engines that does not have native repair, like InnoDB,
  is now using ALTER TABLE FORCE.
- REPAIR csv-table USE_FRM now works.
  - It did not work before as CSV tables had extension list in wrong
    order.
- Default error messages length for %M increased from 128 to 256 to not
  cut information from REPAIR.
- Documented HA_ADMIN_XX variables related to repair.
- Added HA_ADMIN_NEEDS_DATA_CONVERSION to signal that we have to
  do data conversions when converting the table (and thus ALTER TABLE
  copy algorithm is needed).
- Fixed typo in error message (caused test changes).
2024-05-27 12:39:03 +02:00

1976 lines
109 KiB
Text

#
# Test for the CSV engine
#
--source include/have_csv.inc
call mtr.add_suppression("Table 'test_repair_table2' is marked as crashed and should be repaired");
call mtr.add_suppression("Table 'test_repair_table4' is marked as crashed and should be repaired");
call mtr.add_suppression("Table 't1' is marked as crashed and should be repaired");
#
# 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
) ENGINE = CSV;
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,
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
) ENGINE = CSV;
#
# 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','');
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INSERT INTO t2 VALUES (1136,118009,00,'exclaim','Italianization','honeysuckle','');
INSERT INTO t2 VALUES (5136,1118009,00,'exclaim','Italianization','honeysuckle','');
INSERT INTO t2 VALUES (1137,138011,00,'implicated','attendants','orphanage','');
INSERT INTO t2 VALUES (1138,138010,00,'distinguish','spies','skies','');
INSERT INTO t2 VALUES (1139,138012,00,'assayed','Anthony','crushers','');
INSERT INTO t2 VALUES (1140,068304,00,'homeowner','planar','Puritan','');
INSERT INTO t2 VALUES (1141,078009,00,'and','cupped','squeezer','');
INSERT INTO t2 VALUES (1142,108013,00,'stealth','cleanser','bruises','');
INSERT INTO t2 VALUES (1143,084004,00,'coinciding','commuters','bonfire','');
INSERT INTO t2 VALUES (1144,083402,00,'founder','honeysuckle','Colombo','');
INSERT INTO t2 VALUES (1145,084003,00,'environing','orphanage','nondecreasing','');
INSERT INTO t2 VALUES (1146,088504,00,'jewelry','skies','innocents','');
INSERT INTO t2 VALUES (1147,088005,00,'lemons','crushers','masked','');
INSERT INTO t2 VALUES (1148,088007,00,'brokenness','Puritan','file','');
INSERT INTO t2 VALUES (1149,088006,00,'bedpost','squeezer','brush','');
INSERT INTO t2 VALUES (1150,148025,00,'assurers','bruises','mutilate','');
INSERT INTO t2 VALUES (1151,148024,00,'annoyers','bonfire','mommy','');
INSERT INTO t2 VALUES (1152,138305,00,'affixed','Colombo','bulkheads','');
INSERT INTO t2 VALUES (1153,138306,00,'warbling','nondecreasing','undeclared','');
INSERT INTO t2 VALUES (1154,152701,00,'seriously','innocents','displacements','');
INSERT INTO t2 VALUES (1155,148505,00,'boasted','masked','nieces','');
INSERT INTO t2 VALUES (1156,158003,00,'Chantilly','file','coeducation','');
INSERT INTO t2 VALUES (1157,156201,00,'Iranizes','brush','brassy','');
INSERT INTO t2 VALUES (1158,156202,00,'violinist','mutilate','authenticator','');
INSERT INTO t2 VALUES (1159,158307,00,'extramarital','mommy','Washoe','');
INSERT INTO t2 VALUES (1160,158402,00,'spates','bulkheads','penny','');
INSERT INTO t2 VALUES (1161,158401,00,'cloakroom','undeclared','Flagler','');
INSERT INTO t2 VALUES (1162,068013,00,'gazer','displacements','stoned','');
INSERT INTO t2 VALUES (1163,068012,00,'hand','nieces','cranes','');
INSERT INTO t2 VALUES (1164,068203,00,'tucked','coeducation','masterful','');
INSERT INTO t2 VALUES (1165,088205,00,'gems','brassy','biracial','');
INSERT INTO t2 VALUES (1166,068704,00,'clinker','authenticator','steamships','');
INSERT INTO t2 VALUES (1167,068604,00,'refiner','Washoe','windmills','');
INSERT INTO t2 VALUES (1168,158502,00,'callus','penny','exploit','');
INSERT INTO t2 VALUES (1169,123103,00,'leopards','Flagler','riverfront','');
INSERT INTO t2 VALUES (1170,148026,00,'comfortingly','stoned','sisterly','');
INSERT INTO t2 VALUES (1171,123302,00,'generically','cranes','sharpshoot','');
INSERT INTO t2 VALUES (1172,076503,00,'getters','masterful','mittens','');
INSERT INTO t2 VALUES (1173,126304,00,'sexually','biracial','interdependency','');
INSERT INTO t2 VALUES (1174,068306,00,'spear','steamships','policy','');
INSERT INTO t2 VALUES (1175,143504,00,'serums','windmills','unleashing','');
INSERT INTO t2 VALUES (1176,160201,00,'Italianization','exploit','pretenders','');
INSERT INTO t2 VALUES (1177,148028,00,'attendants','riverfront','overstatements','');
INSERT INTO t2 VALUES (1178,148027,00,'spies','sisterly','birthed','');
INSERT INTO t2 VALUES (1179,143505,00,'Anthony','sharpshoot','opportunism','');
INSERT INTO t2 VALUES (1180,108014,00,'planar','mittens','showroom','');
INSERT INTO t2 VALUES (1181,076104,00,'cupped','interdependency','compromisingly','');
INSERT INTO t2 VALUES (1182,078106,00,'cleanser','policy','Medicare','');
INSERT INTO t2 VALUES (1183,126102,00,'commuters','unleashing','corresponds','');
INSERT INTO t2 VALUES (1184,128029,00,'honeysuckle','pretenders','hardware','');
INSERT INTO t2 VALUES (1185,128028,00,'orphanage','overstatements','implant','');
INSERT INTO t2 VALUES (1186,018410,00,'skies','birthed','Alicia','');
INSERT INTO t2 VALUES (1187,128110,00,'crushers','opportunism','requesting','');
INSERT INTO t2 VALUES (1188,148506,00,'Puritan','showroom','produced','');
INSERT INTO t2 VALUES (1189,123303,00,'squeezer','compromisingly','criticizes','');
INSERT INTO t2 VALUES (1190,123304,00,'bruises','Medicare','backer','');
INSERT INTO t2 VALUES (1191,068504,00,'bonfire','corresponds','positively','');
INSERT INTO t2 VALUES (1192,068305,00,'Colombo','hardware','colicky','');
INSERT INTO t2 VALUES (1193,000000,00,'nondecreasing','implant','thrillingly','');
--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;
#
# Update
#
UPDATE t2 SET fld3="foo" WHERE fld3="b%";
select fld3 from t2;
#
# Update randomly
#
UPDATE t2 SET fld3="bar" WHERE fld3="s%";
select fld3 from t2;
#
# Delete with constant
#
DELETE FROM t2 WHERE fld3="r%";
SELECT fld3 FROM t2;
#
# Delete with Random
#
DELETE FROM t2 WHERE fld3="d%" ORDER BY RAND();
SELECT fld3 FROM t2;
#
# Rename table
#
DROP TABLE t1;
ALTER TABLE t2 RENAME t1;
#
# Drop and recreate
#
DROP TABLE t1;
CREATE TABLE t1 (
Period smallint(4) unsigned zerofill DEFAULT '0000' NOT NULL,
Varor_period smallint(4) unsigned DEFAULT '0' NOT NULL
) ENGINE = CSV;
INSERT INTO t1 VALUES (9410,9412);
select period from t1;
drop table if exists t1,t2,t3,t4;
#
# Bug #13894 Server crashes on update of CSV table
#
--disable_warnings
DROP TABLE IF EXISTS bug13894;
--enable_warnings
CREATE TABLE bug13894 ( val integer not null ) ENGINE = CSV;
INSERT INTO bug13894 VALUES (5);
INSERT INTO bug13894 VALUES (10);
INSERT INTO bug13894 VALUES (11);
INSERT INTO bug13894 VALUES (10);
SELECT * FROM bug13894;
UPDATE bug13894 SET val=6 WHERE val=10;
SELECT * FROM bug13894;
DROP TABLE bug13894;
#
# Bug #14672 Bug in deletion
#
--disable_warnings
DROP TABLE IF EXISTS bug14672;
--enable_warnings
CREATE TABLE bug14672 (c1 integer not null) engine = CSV;
INSERT INTO bug14672 VALUES (1), (2), (3);
SELECT * FROM bug14672;
DELETE FROM bug14672 WHERE c1 = 2;
SELECT * FROM bug14672;
INSERT INTO bug14672 VALUES (4);
SELECT * FROM bug14672;
INSERT INTO bug14672 VALUES (5);
SELECT * FROM bug14672;
DROP TABLE bug14672;
# End of 4.1 tests
#
# Test CONCURRENT INSERT (5.1)
#
CREATE TABLE test_concurrent_insert ( val integer not null ) ENGINE = CSV;
connect (con1,localhost,root,,);
connect (con2,localhost,root,,);
connection con1;
# obtain TL_READ lock on the table
LOCK TABLES test_concurrent_insert READ LOCAL;
connection con2;
# should pass despite of the lock
INSERT INTO test_concurrent_insert VALUES (1);
SELECT * FROM test_concurrent_insert;
connection con1;
# first connection should not notice the changes
SELECT * FROM test_concurrent_insert;
UNLOCK TABLES;
# Now check that we see our own changes
LOCK TABLES test_concurrent_insert WRITE;
INSERT INTO test_concurrent_insert VALUES (2);
SELECT * FROM test_concurrent_insert;
UNLOCK TABLES;
# cleanup
DROP TABLE test_concurrent_insert;
connection default;
--disconnect con1
--disconnect con2
#
# Test REPAIR/CHECK TABLE (5.1)
#
# Check that repair on the newly created table works fine
CREATE TABLE test_repair_table ( val integer not null ) ENGINE = CSV;
INSERT into test_repair_table values (1),(2);
CHECK TABLE test_repair_table;
REPAIR TABLE test_repair_table;
SELECT * from test_repair_table;
REPAIR TABLE test_repair_table USE_FRM;
SELECT * from test_repair_table;
DROP TABLE test_repair_table;
#
# Check autorepair. Here we also check that we can work w/o metafile
# restore the meta-file
#
CREATE TABLE test_repair_table2 ( val integer not null ) ENGINE = CSV;
let $MYSQLD_DATADIR= `select @@datadir`;
--remove_file $MYSQLD_DATADIR/test/test_repair_table2.CSM
# Should give a warning and perform autorepair. We also disable ps-protocol
# here, as mysql-test eats up warnings in ps-protocol mode
--disable_ps_protocol
SELECT * from test_repair_table2;
--enable_ps_protocol
# this should work ok, as the table is already repaired
SELECT * from test_repair_table2;
# check that the metafile appeared again.
--file_exists $MYSQLD_DATADIR/test/test_repair_table2.CSM
CHECK TABLE test_repair_table2;
DROP TABLE test_repair_table2;
# Corrupt csv file and see if we can repair it
CREATE TABLE test_repair_table3 ( val integer not null ) ENGINE = CSV;
--remove_file $MYSQLD_DATADIR/test/test_repair_table3.CSV
--write_file $MYSQLD_DATADIR/test/test_repair_table3.CSV
"1"
"4"
"3
EOF
CHECK TABLE test_repair_table3;
REPAIR TABLE test_repair_table3;
SELECT * FROM test_repair_table3;
DROP TABLE test_repair_table3;
# Test with more sophisticated table
CREATE TABLE test_repair_table4 (
num int not null,
magic_no int(4) unsigned zerofill DEFAULT '0000' NOT NULL,
company_name char(30) DEFAULT '' NOT NULL,
founded char(4) DEFAULT '' NOT NULL
) ENGINE = CSV;
--remove_file $MYSQLD_DATADIR/test/test_repair_table4.CSM
--disable_ps_protocol
SELECT * FROM test_repair_table4;
--enable_ps_protocol
SELECT * FROM test_repair_table4;
CHECK TABLE test_repair_table4;
INSERT INTO test_repair_table4 VALUES (2,101,'SAP','1972');
INSERT INTO test_repair_table4 VALUES (1,101,'Microsoft','1978');
INSERT INTO test_repair_table4 VALUES (2,101,'MySQL','1995');
# list table content
SELECT * FROM test_repair_table4;
CHECK TABLE test_repair_table4;
REPAIR TABLE test_repair_table4;
# check that nothing changed
SELECT * FROM test_repair_table4;
# verify that check/repair did non corrupt the table itself
CHECK TABLE test_repair_table4;
REPAIR TABLE test_repair_table4;
SELECT * FROM test_repair_table4;
DROP TABLE test_repair_table4;
# Run CHECK/REPAIR on the CSV file with a single row, which misses a column.
CREATE TABLE test_repair_table5 (
num int not null,
magic_no int(4) unsigned zerofill DEFAULT '0000' NOT NULL,
company_name char(30) DEFAULT '' NOT NULL,
founded char(4) DEFAULT '' NOT NULL
) ENGINE = CSV;
# Corrupt a table -- put a file with wrong # of columns
--remove_file $MYSQLD_DATADIR/test/test_repair_table5.CSV
--write_file $MYSQLD_DATADIR/test/test_repair_table5.CSV
"1","101","IBM"
EOF
CHECK TABLE test_repair_table5;
REPAIR TABLE test_repair_table5;
SELECT * FROM test_repair_table5;
INSERT INTO test_repair_table5 VALUES (1, 102, "CORRECT", 1876);
SELECT * FROM test_repair_table5;
# Corrupt a table -- put a row with wrong # of columns at end of file
--append_file $MYSQLD_DATADIR/test/test_repair_table5.CSV
"1","101","IBM"
EOF
FLUSH TABLES;
CHECK TABLE test_repair_table5;
REPAIR TABLE test_repair_table5;
# The correct record inserted should still be in the file
SELECT * FROM test_repair_table5;
INSERT INTO test_repair_table5 VALUES (1, 102, "CORRECT2", 1876);
SELECT * FROM test_repair_table5;
# Corrupt table again -- put a row with wrong # of columns at end of file
--append_file $MYSQLD_DATADIR/test/test_repair_table5.CSV
"1","101","IBM"
EOF
FLUSH TABLES;
CHECK TABLE test_repair_table5;
REPAIR TABLE test_repair_table5;
# The two correct records inserted should still be in the file
SELECT * FROM test_repair_table5;
DROP TABLE test_repair_table5;
#
# BUG#13406 - incorrect amount of "records deleted"
#
create table t1 (a int not null) engine=csv;
insert t1 values (1);
--enable_info
delete from t1; # delete_row
delete from t1; # delete_all_rows
--disable_info
insert t1 values (1),(2);
--enable_info
delete from t1; # delete_all_rows
--disable_info
insert t1 values (1),(2),(3);
flush tables;
--enable_info
delete from t1; # delete_row
--disable_info
insert t1 values (1),(2),(3),(4);
flush tables;
select count(*) from t1;
--enable_info
delete from t1; # delete_all_rows
--disable_info
insert t1 values (1),(2),(3),(4),(5);
--enable_info
truncate table t1; # truncate
--disable_info
drop table t1;
#
# Some additional tests for new, faster alter table. Note that most of the
# whole alter table code is being tested all around the test suite already.
#
create table t1 (v varchar(32) not null) engine=csv;
insert into t1 values ('def'),('abc'),('hij'),('3r4f');
select * from t1;
# Fast alter, no copy performed
alter table t1 change v v2 varchar(32) not null;
select * from t1;
# Fast alter, no copy performed
alter table t1 change v2 v varchar(64) not null;
select * from t1;
update t1 set v = 'lmn' where v = 'hij';
select * from t1;
# Regular alter table
alter table t1 add i int not null first;
select * from t1;
update t1 set i=3 where v = 'abc';
select * from t1;
alter table t1 change i i bigint not null;
select * from t1;
select * from t1 where i between 2 and 4 and v in ('def','3r4f','abc');
drop table t1;
#
# Bug #15205 Select from CSV table without the datafile causes crash
#
# NOTE: the bug is not deterministic
# The crash happens because the necessary cleanup after an error wasn't
# performed. Namely, the table share, inserted in the hash during table
# open, was not deleted from hash. At the same time the share was freed
# when an error was encountered. Thus, subsequent access to the hash
# resulted in scanning through deleted memory and we were geting a crash.
# that's why we need two tables in the bugtest
create table bug15205 (val int(11) not null) engine=csv;
create table bug15205_2 (val int(11) not null) engine=csv;
--remove_file $MYSQLD_DATADIR/test/bug15205.CSV
# system error (can't open the datafile)
--replace_result $MYSQLTEST_VARDIR . mysqld.1/data/ ''
--error 13
select * from bug15205;
select * from bug15205_2;
# Create empty file
--write_file $MYSQLD_DATADIR/test/bug15205.CSV
EOF
select * from bug15205;
drop table bug15205;
drop table bug15205_2;
#
# Bug#28862 "Extended Latin1 characters get lost in CVS engine"
#
set names latin1;
create table t1 (
c varchar(1) not null,
name varchar(64) not null
) character set latin1 engine=csv;
insert into t1 values (0xC0,'LATIN CAPITAL LETTER A WITH GRAVE');
insert into t1 values (0xE0,'LATIN SMALL LETTER A WITH GRAVE');
insert into t1 values (0xEE,'LATIN SMALL LETTER I WITH CIRCUMFLEX');
insert into t1 values (0xFE,'LATIN SMALL LETTER THORN');
insert into t1 values (0xF7,'DIVISION SIGN');
insert into t1 values (0xFF,'LATIN SMALL LETTER Y WITH DIAERESIS');
select hex(c), c, name from t1 order by 1;
drop table t1;
--echo End of 5.0 tests
#
# Bug#22080 "CHECK fails to identify some corruption"
#
create table bug22080_1 (id int not null,string varchar(64) not null) Engine=CSV;
create table bug22080_2 (id int not null,string varchar(64) not null) Engine=CSV;
create table bug22080_3 (id int not null,string varchar(64) not null) Engine=CSV;
insert into bug22080_1 values(1,'string');
insert into bug22080_1 values(2,'string');
insert into bug22080_1 values(3,'string');
# Create first corrupt file as described in bug report
--remove_file $MYSQLD_DATADIR/test/bug22080_2.CSV
--write_file $MYSQLD_DATADIR/test/bug22080_2.CSV
1,"string"
2","string"
3,"string"
EOF
# Create second corrupt file as described in bug report
--remove_file $MYSQLD_DATADIR/test/bug22080_3.CSV
--write_file $MYSQLD_DATADIR/test/bug22080_3.CSV
1,"string"
"2",string"
3,"string"
EOF
check table bug22080_2;
check table bug22080_3;
drop tables bug22080_1,bug22080_2,bug22080_3;
#
# Testing float type
#
create table float_test (id float not null,string varchar(64) not null) Engine=CSV;
insert into float_test values(1.0,'string');
insert into float_test values(2.23,'serg.g');
insert into float_test values(0.03,'string');
insert into float_test values(0.19,'string');
insert into float_test values(.67,'string');
insert into float_test values(9.67,'string');
select * from float_test;
drop table float_test;
#
# Bug #21328 mysqld issues warnings on ALTER CSV table to MyISAM
#
CREATE TABLE `bug21328` (
`col1` int(11) NOT NULL,
`col2` int(11) NOT NULL,
`col3` int(11) NOT NULL
) ENGINE=CSV;
insert into bug21328 values (1,0,0);
alter table bug21328 engine=myisam;
drop table bug21328;
#
# BUG#28971 - ALTER TABLE followed by UPDATE for a CSV table make server
# crash
#
create table t1(a blob not null, b int not null) engine=csv;
insert into t1 values('a', 1);
flush tables;
update t1 set b=2;
select * from t1;
drop table t1;
#
# Bug #29353: negative values
#
create table t1(a int not null) engine=csv;
insert into t1 values(-1), (-123.34), (2), (-23);
select * from t1;
check table t1;
drop table t1;
create table t1(a int not null, b int not null) engine=csv;
--remove_file $MYSQLD_DATADIR/test/t1.CSV
--write_file $MYSQLD_DATADIR/test/t1.CSV
1, 1E-2
-2E2, .9
-10E-1, -.9
-1, -100.1
1a, -2b
EOF
repair table t1;
check table t1;
select * from t1;
check table t1;
drop table t1;
#
# Bug #29411: deleting from a csv table leads to the table corruption
#
create table t1(a int not null) engine=csv;
insert into t1 values (0), (1), (2);
delete from t1 limit 2;
check table t1;
select * from t1;
delete from t1;
check table t1;
select * from t1;
drop table t1;
#
# Bug #31473: does not work with NULL value in datetime field
#
create table t1(a datetime not null) engine=csv;
insert ignore into t1 values();
select * from t1;
drop table t1;
create table t1(a set('foo','bar') not null) engine=csv;
insert ignore into t1 values();
select * from t1;
drop table t1;
create table t1(a varchar(32) not null) engine=csv;
insert ignore into t1 values();
select * from t1;
drop table t1;
create table t1(a int not null) engine=csv;
insert ignore into t1 values();
select * from t1;
drop table t1;
create table t1(a blob not null) engine=csv;
insert ignore into t1 values();
select * from t1;
drop table t1;
create table t1(a bit(1) not null) engine=csv;
insert ignore into t1 values();
select BIN(a) from t1;
drop table t1;
# We prevent creation of table with nullable ENUM
--error ER_CHECK_NOT_IMPLEMENTED
create table t1(a enum('foo','bar') default null) engine=csv;
--error ER_CHECK_NOT_IMPLEMENTED
create table t1(a enum('foo','bar') default 'foo') engine=csv;
# Enum columns must be specified as NOT NULL
create table t1(a enum('foo','bar') default 'foo' not null) engine=csv;
insert into t1 values();
select * from t1;
drop table t1;
#
# BUG#32817 - though CSV is marked as supported create table is rejected
# with error 1005.
#
--error ER_CHECK_NOT_IMPLEMENTED
CREATE TABLE t1(a INT) ENGINE=CSV;
SHOW WARNINGS;
#
# BUG#33067 - .
#
create table t1 (c1 tinyblob not null) engine=csv;
insert into t1 values("This");
--enable_info
update t1 set c1="That" where c1="This";
--disable_info
select * from t1;
drop table t1;
#
# Bug#36638 mysqld crashes when open file limit is passed and general query log enabled
#
create table t1 (a int not null) engine=csv;
lock tables t1 read;
connect (con1,localhost,root,,);
--connection con1
--remove_file $MYSQLD_DATADIR/test/t1.CSV
--replace_result $MYSQLD_DATADIR MYSQLD_DATADIR/ ./ MYSQLD_DATADIR/ 13 2
# EE_FILENOTFOUND 29
--error 29
select * from t1;
--disconnect con1
--source include/wait_until_disconnected.inc
connection default;
unlock tables;
drop table t1;
#
# Bug#33717 INSERT...(default) fails for enum. Crashes CSV tables, loads spaces for MyISAM
#
CREATE TABLE t1 (e enum('foo','bar') NOT NULL) ENGINE = CSV;
INSERT INTO t1 VALUES();
INSERT INTO t1 VALUES(default);
INSERT IGNORE INTO t1 VALUES(0);
INSERT IGNORE INTO t1 VALUES(3);
INSERT IGNORE INTO t1 VALUES(-1);
SELECT * FROM t1;
DROP TABLE t1;
#
# Bug#970528
# Server crashes in my_strnncollsp_simple on LEFT JOIN with CSV table,
# TEXT field
#
CREATE TABLE t1 ( b TEXT NOT NULL ) ENGINE=MYISAM;
INSERT INTO t1 VALUES ('x'),('y');
CREATE TABLE t2 ( a VARCHAR(1) NOT NULL ) ENGINE=CSV;
INSERT INTO t2 VALUES ('r'),('t');
SELECT * FROM t2 ORDER BY a;
SELECT * FROM t1 LEFT JOIN t2 ON ( b = a );
drop table t1,t2;
#
# Bug #40814 CSV engine does not parse \X characters when they occur in unquoted fields
#
--echo #
--echo # Test for the following cases
--echo # 1) integers and strings enclosed in quotes
--echo # 2) integers and strings not enclosed in quotes
--echo # 3) \X characters with quotes
--echo # 4) \X characters outside quotes
--echo #
CREATE TABLE t1(c1 INT NOT NULL, c2 VARCHAR(50) NOT NULL) ENGINE=csv;
--echo # remove the already existing .CSV file if any
--remove_file $MYSQLD_DATADIR/test/t1.CSV
--echo # create the .CSV file that contains the hard-coded data used in
--echo # testing
--write_file $MYSQLD_DATADIR/test/t1.CSV
1,"integer sans quotes"
1,string sans quotes
1,quotes"in between" strings
"1",Integer with quote and string with no quote
1,"escape sequence \n \" \\ \r \a within quotes"
1,escape sequence \n \" \\ \r \a without quotes
EOF
--cat_file $MYSQLD_DATADIR/test/t1.CSV
--echo # select from the table in which the data has been filled in using
--echo # the hard-coded .CSV file
SELECT * FROM t1;
DROP TABLE t1;
--echo # Test for the case when a field begins with a quote, but does not end in a
--echo # quote.
--echo # Note: This results in an error.
CREATE TABLE t1(c1 INT NOT NULL, c2 VARCHAR(50) NOT NULL) ENGINE=csv;
--echo # remove the already existing .CSV file if any
--remove_file $MYSQLD_DATADIR/test/t1.CSV
--echo # create the .CSV file that contains the hard-coded data used in
--echo # testing
--write_file $MYSQLD_DATADIR/test/t1.CSV
1,"string only at the beginning quotes
EOF
--cat_file $MYSQLD_DATADIR/test/t1.CSV
--echo # select from the table in which the data has been filled in using
--echo # the hard-coded .CSV file
--error ER_CRASHED_ON_USAGE
SELECT * FROM t1;
DROP TABLE t1;
--echo # Test for the case when a field ends with a quote, but does not begin in a
--echo # quote.
--echo # Note: This results in an error.
CREATE TABLE t1(c1 INT NOT NULL, c2 VARCHAR(50) NOT NULL) ENGINE=csv;
--echo # remove the already existing .CSV file if any
--remove_file $MYSQLD_DATADIR/test/t1.CSV
--echo # create the .CSV file that contains the hard-coded data used in
--echo # testing
--write_file $MYSQLD_DATADIR/test/t1.CSV
1,string with only ending quotes"
EOF
--cat_file $MYSQLD_DATADIR/test/t1.CSV
--echo # select from the table in which the data has been filled in using
--echo # the hard-coded .CSV file
--error ER_CRASHED_ON_USAGE
SELECT * FROM t1;
DROP TABLE t1;
--echo End of 5.1 tests
--echo #
--echo # MDEV-5612 - my_rename() deletes files when it shouldn't
--echo #
CREATE TABLE t1(a INT NOT NULL) ENGINE=CSV;
move_file $MYSQLD_DATADIR/test/t1.CSV $MYSQLD_DATADIR/test/t2.CSV;
RENAME TABLE t1 TO t2;
SELECT * FROM t2;
DROP TABLE t2;
--echo #
--echo # MDEV-8664 - plugins.show_all_plugins --embedded fails in buildbot
--echo #
CREATE TABLE t1(c1 TEXT NOT NULL, c2 TEXT NOT NULL) ENGINE=CSV IETF_QUOTES=yes;
INSERT INTO t1 VALUES("a\"b,c","d");
INSERT INTO t1 VALUES("d","a\"b,c");
INSERT INTO t1 VALUES(",\"a","e");
INSERT INTO t1 VALUES("e",",\"a");
INSERT INTO t1 VALUES("\"","f");
INSERT INTO t1 VALUES("f","\"");
INSERT INTO t1 VALUES(",","g");
INSERT INTO t1 VALUES("g",",");
SELECT * FROM t1;
--echo CSV file contents:
--cat_file $MYSQLD_DATADIR/test/t1.CSV
DROP TABLE t1;
CREATE TABLE t1(c1 TEXT NOT NULL, c2 TEXT NOT NULL) ENGINE=CSV IETF_QUOTES=yes;
--echo Replacing t1.CSV
--remove_file $MYSQLD_DATADIR/test/t1.CSV
--write_file $MYSQLD_DATADIR/test/t1.CSV
a,b
"a","b"
"a""b,c","d"
"d",",""a"
"a"",",e
e,""""
",",f
EOF
SELECT * FROM t1;
ALTER TABLE t1 IETF_QUOTES=no;
SELECT * FROM t1;
DROP TABLE t1;