in mysql-test/suite/json/inc/json_functions.inc [105:2738]
CREATE TABLE numbers(id INT NOT NULL AUTO_INCREMENT,
`rank` INT,
j JSON,
PRIMARY KEY(id));
INSERT INTO numbers(`rank`, j) VALUES
(1, '-1e100'),
(2, '-1e65'),
# smallest DECIMAL (negative with 65 digits)
(3, CAST(-99999999999999999999999999999999999999999999999999999999999999999 AS JSON)),
(4, CAST(-9223372036854776001 AS JSON)),
(5, CAST(-9223372036854776000 AS JSON)),
# closest DOUBLE approximation of the smallest SIGNED BIGINT
(5 /* same rank as previous */, '-9.223372036854776e18'),
(6, CAST(-9223372036854775999 AS JSON)),
(7, CAST(-9223372036854775809 AS JSON)), # smallest SIGNED BIGINT - 1
(8, CAST(-9223372036854775808 AS JSON)), # smallest SIGNED BIGINT
(9, CAST(-9223372036854775807 AS JSON)), # smallest SIGNED BIGINT + 1
(10, '-1e-50'), # close to zero, fits in a DECIMAL
(11, '-1.2345678901234e-71'), # has to be truncated to fit in a DECIMAL
(12, CAST(-0.000000000000000000000000000000000000000000000000000000000000000000000012 AS JSON)),
(12 /* same rank as previous */, '-1.2e-71'),
(13, '-1.0345678901234e-71'), # has to be truncated to fit in a DECIMAL
(14, '-1e-100'), # too close to zero to fit in a DECIMAL
(15, '0'),
(15 /* same rank as previous */, '0.0'),
(15 /* same rank as previous */, '-0.0'),
(15 /* same rank as previous */, CAST(0.0 AS JSON)),
(15 /* same rank as previous */, CAST(CAST(-0.0e0 AS DECIMAL) AS JSON)),
(16, '1e-100'), # too close to zero to fit in a DECIMAL
(17, '1.0345678901234e-71'), # has to be truncated to fit in a DECIMAL
(18, CAST(0.000000000000000000000000000000000000000000000000000000000000000000000012 AS JSON)),
(18 /* same rank as previous */, '1.2e-71'),
(19, '1.2345678901234e-71'), # has to be truncated to fit in a DECIMAL
(20, '1e-50'), # close to zero, fits in a DECIMAL
(21, CAST(9223372036854775806 AS JSON)), # largest SIGNED BIGINT - 1
(22, CAST(9223372036854775807 AS JSON)), # largest SIGNED BIGINT
(23, CAST(9223372036854775808 AS JSON)), # largest SIGNED BIGINT + 1
(24, CAST(9223372036854775999 AS JSON)),
# closest DOUBLE approximation of the largest SIGNED BIGINT
(25, '9.223372036854776e18'),
(25 /* same rank as previous */, CAST(9223372036854776000 AS JSON)),
(26, CAST(9223372036854776001 AS JSON)),
(27, CAST(18446744073709551614 AS JSON)), # largest UNSIGNED BIGINT - 1
(28, CAST(18446744073709551615 AS JSON)), # largest UNSIGNED BIGINT
(29, CAST(18446744073709551616 AS JSON)), # largest UNSIGNED BIGINT + 1
# Gets converted to the closest DOUBLE approximation of UNSIGNED BIGINT + 1
# by the JSON parser
(30, '18446744073709551616'),
# biggest DECIMAL (65 digits)
(31, CAST(99999999999999999999999999999999999999999999999999999999999999999 AS JSON)),
(32, CAST('1e65' AS JSON)),
(33, CAST('1e100' AS JSON));
SELECT *, JSON_TYPE(j) FROM numbers ORDER BY id;
# Now compare every combination of scalars in the table using <, =, >,
# <> and <=>, and cross-check the results against the ranks. The query
# returns the rows where the comparison returned an unexpected result.
# If all is well, the query returns no rows.
SELECT a.j, b.j, a.j < b.j, a.j = b.j, a.j > b.j, a.j <=> b.j
FROM numbers a, numbers b
WHERE ((a.j < b.j) <> (a.`rank` < b.`rank`)) OR
((a.j = b.j) <> (a.`rank` = b.`rank`)) OR
((a.j > b.j) <> (a.`rank` > b.`rank`)) OR
((a.j <=> b.j) <> (a.`rank` <=> b.`rank`));
DROP TABLE numbers;
# Verify handling of errors during evaluation of the arguments to the
# comparator, both in the left argument and in the right argument.
CREATE TABLE t(txt TEXT);
INSERT INTO t VALUES ('');
--error ER_INVALID_JSON_TEXT_IN_PARAM
SELECT COUNT(*) FROM t WHERE JSON_EXTRACT(txt, '$') = 5;
--error ER_INVALID_JSON_TEXT_IN_PARAM
SELECT COUNT(*) FROM t WHERE 5 = JSON_EXTRACT(txt, '$');
DROP TABLE t;
--echo #
--echo # WL#8539 - Ordering of scalar JSON values
--echo #
# Create some timestamps.
CREATE TABLE timestamps (ts TIMESTAMP(6));
INSERT INTO timestamps VALUES
('2000-01-01 00:00:00'),
('2000-01-01 00:00:00.01'),
('2000-01-01 00:00:00.001'),
('2000-01-01 00:00:00.002'),
('2000-01-01 00:00:00.02'),
('2000-01-01 23:59:59.999999'),
('2000-01-02 00:00:00'),
('2000-02-01 00:00:00'),
('2010-12-02 01:00:00'),
('2010-12-02 01:02:00'),
('2010-12-02 01:02:03'),
('2010-12-02 02:01:00'),
('1970-01-02 00:00:01'),
('1970-01-02 00:00:01.000001');
SELECT * FROM timestamps ORDER BY CAST(ts AS JSON);
# Create datetimes that correspond to the above timestamps, and add some values
# that are outside the accepted range of the timestamp data type.
CREATE TABLE datetimes (dt DATETIME(6));
INSERT INTO datetimes SELECT ts FROM timestamps;
INSERT INTO datetimes VALUES
('1960-01-02 03:04:05'),
('1960-01-02 03:04:06'),
('1000-01-01 00:00:00'),
('9999-12-31 23:59:59.999999');
SELECT * FROM datetimes ORDER BY CAST(dt AS JSON);
# Create some times using the time component of the above datetimes. Also add
# some times that go outside of the 0-24 range of the time component of
# datetime.
CREATE TABLE times (t TIME(6));
INSERT INTO times SELECT DISTINCT TIME(dt) FROM datetimes;
INSERT INTO times VALUES
('-838:59:59'),
('838:59:59'),
('-00:00:00.000001'),
('-00:00:00'),
('24:00:00'),
('-12:00:00'),
('-24:00:00');
SELECT * FROM times ORDER BY CAST(t AS JSON);
# Create dates using the date component of the above datetimes.
CREATE TABLE dates(d DATE);
INSERT INTO dates SELECT DISTINCT DATE(dt) FROM datetimes;
# Create some signed integers.
CREATE TABLE signed_integers(i BIGINT);
INSERT INTO signed_integers VALUES
(0), (1), (2), (3), (4), (5), (10), (11), (12), (20), (21), (22),
(99), (100), (101), (999), (1000), (1001),
(9223372036854775806), (9223372036854775807);
INSERT INTO signed_integers SELECT -i FROM signed_integers;
INSERT INTO signed_integers VALUES (-9223372036854775808);
SELECT * FROM signed_integers ORDER BY CAST(i AS JSON);
# Create some unsigned integers.
CREATE TABLE unsigned_integers(i BIGINT UNSIGNED);
INSERT INTO unsigned_integers SELECT i FROM signed_integers where i >= 0;
INSERT INTO unsigned_integers VALUES
(9223372036854775808), (18446744073709551614), (18446744073709551615);
SELECT * FROM unsigned_integers ORDER BY CAST(i AS JSON);
# Create some decimals.
CREATE TABLE decimals (d DECIMAL(25,3));
INSERT INTO decimals SELECT i FROM signed_integers;
INSERT INTO decimals SELECT i FROM unsigned_integers;
INSERT INTO decimals VALUES
(9223372036854776000), (-9223372036854776000),
(9223372036854776001), (-9223372036854776001),
(3.13), (3.14), (3.15), (-3.13), (-3.14), (-3.15),
(3.131), (3.141), (3.151), (-3.131), (-3.141), (-3.151),
(3.129), (3.139), (3.149), (-3.129), (-3.139), (-3.149),
(0.1), (0.01), (0.001), (-0.1), (-0.01), (-0.001);
SELECT * FROM decimals ORDER BY CAST(d AS JSON);
# Create some doubles.
CREATE TABLE doubles (d DOUBLE);
INSERT INTO doubles SELECT d FROM decimals;
INSERT INTO doubles VALUES
(1.5E-200), (1.5E200), (-1.5E-200), (-1.5E200),
(-1E-323), (-1E-322), (-1E-321), (1E-323), (1E-322), (1E-321),
(-1E308), (-1E307), (-1E306), (1E308), (1E307), (1E306);
SELECT * FROM doubles ORDER BY CAST(d AS JSON);
# Now convert all of the above values to JSON.
CREATE TABLE t(id INT PRIMARY KEY AUTO_INCREMENT, j JSON);
INSERT INTO t(j) SELECT CAST(ts AS JSON) FROM timestamps ORDER BY ts;
INSERT INTO t(j) SELECT CAST(dt AS JSON) FROM datetimes ORDER BY dt;
INSERT INTO t(j) SELECT CAST(t AS JSON) FROM times ORDER BY t;
INSERT INTO t(j) SELECT CAST(d AS JSON) FROM dates ORDER BY d;
INSERT INTO t(j) SELECT CAST(i AS JSON) FROM signed_integers ORDER BY i;
INSERT INTO t(j) SELECT CAST(i AS JSON) FROM unsigned_integers ORDER BY i;
INSERT INTO t(j) SELECT CAST(d AS JSON) FROM decimals ORDER BY d;
INSERT INTO t(j) SELECT CAST(d AS JSON) FROM doubles ORDER BY d;
# Insert some more JSON values.
INSERT INTO t(j) VALUES
(NULL), (NULL), ('true'), ('false'), ('null'),
('"abc"'), ('""'), ('"abcd"'), ('"bc"'),
('"abc\\u0000\\u0000"'), ('"abc\\u0000"'),
('0.0'), ('-0.0'), ('9223372036854776000'),
('1.0e-1'), ('1.0e-2'),
(CAST(0.000000000000001 AS JSON)),
(CAST(0.00000000000000115 AS JSON)),
(CAST(0.0000000000000001 AS JSON)),
(CAST(0.000000000000000116 AS JSON)),
(CAST(0.0 AS JSON)),
(CAST(-999999999999999999999999999999999999999999999999999999999999999999999999999999999 AS JSON)),
(CAST(-999999999999999999999999999999999999999999999999999999999999999999999999999999998 AS JSON)),
(CAST(-999999999999999999999999999999999999999999999999999999999999999999999999999999997 AS JSON)),
(CAST(999999999999999999999999999999999999999999999999999999999999999999999999999999997 AS JSON)),
(CAST(999999999999999999999999999999999999999999999999999999999999999999999999999999998 AS JSON)),
(CAST(999999999999999999999999999999999999999999999999999999999999999999999999999999999 AS JSON)),
(CAST(-1E81 AS JSON)),
(CAST(-9.99E80 AS JSON)),
(CAST(9.99E80 AS JSON)),
(CAST(1E81 AS JSON)),
(JSON_ARRAY('an array')),
(JSON_ARRAY('another array')),
(JSON_OBJECT('an', 'object')),
(JSON_OBJECT('another', 'object')),
(CAST(ST_GeomFromText('POINT(0 0)') AS JSON)),
(CAST(ST_GeomFromText('POINT(0 1)') AS JSON)),
(CAST(CAST('1234abcd' AS BINARY) AS JSON));
--disable_query_log
# Minimal buffer size, to test merging as well
set @@sort_buffer_size=32 * 1024;
--enable_query_log
# Now order the table on the JSON column.
SELECT j, JSON_TYPE(j) AS tp FROM t ORDER BY j, id;
SELECT j, JSON_TYPE(j) AS tp FROM t ORDER BY j, id limit 2 offset 2;
SELECT j, JSON_TYPE(j) AS tp FROM t ORDER BY j DESC, id;
SELECT j, JSON_TYPE(j) AS tp FROM t ORDER BY j DESC, id limit 2 offset 2;
# Ordering on a JSON expression should give the same result.
SELECT JSON_EXTRACT(j, '$') AS je, JSON_TYPE(j) AS tp FROM t ORDER BY je, id;
# Set max_sort_length as small as possible and order again. Since we'll now just
# look at a prefix of the values, distinct values with a common prefix may order
# as equal.
SET @@max_sort_length=8;
SELECT j, JSON_TYPE(j) AS tp FROM t ORDER BY j, id;
SELECT j, JSON_TYPE(j) AS tp FROM t ORDER BY j, id limit 2 offset 2;
SET @@max_sort_length=default;
--disable_query_log
set @@sort_buffer_size=default;
--enable_query_log
# GROUP BY uses a temporary for grouping, GROUP BY WITH ROLLUP uses filesort to
# do the grouping.
ANALYZE TABLE t;
EXPLAIN SELECT j, COUNT(*) FROM t GROUP BY j ORDER BY j;
EXPLAIN SELECT j, COUNT(*) FROM t GROUP BY j WITH ROLLUP;
# Grouping produces indeterminate results based on the order of evaluation. For example,
# either '2' or '2.0' could be the name of the group
# either '20' or '20.000' could be the name of the group
# either '-0.1' or '-0.100' could be the name of the group
# either '9223372036854775807.000' or '9223372036854775807' could be the name of the group
# These issues are resolved by removing trailing zeros from decimals and replacing -0 with 0.
# This also replaces .000010 with 010 and .000001 with 001 [because \s is not supported].
--replace_regex /1\.0e\-1/0.1/ /1\.0e\-2/0.01/ /0\.010/0.01/ /\.000// /\.0// /0\.100/0.1/ /\-0/0/ /3\.130/3.13/ /3\.140/3.14/ /3\.150/3.15/ /9\.223372036854776e18/9223372036854776000/
SELECT j, COUNT(*) FROM t GROUP BY j ORDER BY j;
--replace_regex /1\.0e\-1/0.1/ /1\.0e\-2/0.01/ /0\.010/0.01/ /\.000// /\.0// /0\.100/0.1/ /\-0/0/ /3\.130/3.13/ /3\.140/3.14/ /3\.150/3.15/ /9\.223372036854776e18/9223372036854776000/
SELECT JSON_EXTRACT(j, '$') AS je, COUNT(*) FROM t GROUP BY je ORDER BY je;
--replace_regex /1\.0e\-1/0.1/ /1\.0e\-2/0.01/ /0\.010/0.01/ /\.000// /\.0// /0\.100/0.1/ /\-0/0/ /3\.130/3.13/ /3\.140/3.14/ /3\.150/3.15/ /9\.223372036854776e18/9223372036854776000/
SELECT j, COUNT(*) FROM t GROUP BY j WITH ROLLUP;
--replace_regex /1\.0e\-1/0.1/ /1\.0e\-2/0.01/ /0\.010/0.01/ /\.000// /\.0// /0\.100/0.1/ /\-0/0/ /3\.130/3.13/ /3\.140/3.14/ /3\.150/3.15/ /9\.223372036854776e18/9223372036854776000/
SELECT JSON_EXTRACT(j, '$') AS je, COUNT(*) FROM t GROUP BY je WITH ROLLUP;
DROP TABLE t, timestamps, datetimes, times, dates, signed_integers,
unsigned_integers, decimals, doubles;
# Test ordering of a not nullable column.
CREATE TABLE t(j JSON NOT NULL);
INSERT INTO t VALUES ('1'), ('2'), ('10'), ('"1"'), ('"2"'), ('"10"'),
('true'), ('false'), ('null');
SELECT j FROM t ORDER BY j;
SELECT j FROM t ORDER BY JSON_EXTRACT(j, '$');
SELECT JSON_EXTRACT(j, '$') FROM t ORDER BY 1;
# Ordering on (j+1) will convert to a numeric type.
SELECT j FROM t ORDER BY j+1, JSON_TYPE(j);
DROP TABLE t;
CREATE TABLE t(vc varchar(10));
INSERT INTO t VALUES ('["abc"]'), ('[1');
--error ER_INVALID_JSON_TEXT_IN_PARAM
SELECT * FROM t ORDER BY CAST(vc AS JSON);
--error ER_INVALID_JSON_TEXT_IN_PARAM
SELECT * FROM t ORDER BY JSON_EXTRACT(vc, '$[0]');
--error ER_INVALID_JSON_TEXT_IN_PARAM
SELECT CAST(vc AS JSON) AS j FROM t ORDER BY j;
--error ER_INVALID_JSON_TEXT_IN_PARAM
SELECT JSON_EXTRACT(vc, '$[0]') AS j FROM t ORDER BY j;
--error ER_INVALID_JSON_TEXT_IN_PARAM
SELECT CAST(vc AS JSON) FROM t ORDER BY 1;
--error ER_INVALID_JSON_TEXT_IN_PARAM
SELECT JSON_EXTRACT(vc, '$[0]') FROM t ORDER BY 1;
DROP TABLE t;
--echo #
--echo # Internal ordering of arrays and objects. Ordered by cardinality.
--echo #
CREATE TABLE t(i int, j json);
INSERT INTO t VALUES
(1, '{}'), (2, '{"a":1}'), (3, '{"ab":2}'), (4, '{"a":1,"b":2}'),
(5, '{"c":3,"d":4}'), (6, '{"a":1,"b":2,"c":3,"d":4}');
INSERT INTO t VALUES
(1, '[]'), (2, '[1]'), (3, '[2]'), (4, '[1,2]'), (5, '[2,1]'), (6, '[1,2,3]'),
(7, '[1,2,3,4]'), (8, '[4,3,2,1]'), (9, '[1,2,3,4,5]');
INSERT INTO t SELECT i+100, j FROM t;
SELECT * FROM t ORDER BY j, i;
SELECT * FROM t ORDER BY j DESC, i;
# GROUP BY knows how to distinguish the arrays and the objects, even
# if they have the same cardinality.
# Group by produces indeterminate results based on the order the items are evaluated
# SELECT j, COUNT(*) FROM t GROUP BY j ORDER BY j;
# GROUP BY WITH ROLLUP, on the other hand, doesn't know how to
# distinguish them, and produces confusing results for arrays/objects.
# GROUP BY WITH ROLLUP is only useful on scalar results for now.
SELECT j, COUNT(*) FROM t GROUP BY j WITH ROLLUP;
DROP TABLE t;
--echo # Test NULLs sorting.
CREATE TABLE t(i int, j json);
INSERT INTO t(i) VALUES (1),(2),(3),(2),(1);
SELECT * FROM t ORDER BY j, i;
SELECT * FROM t ORDER BY j DESC, i;
SELECT i, JSON_EXTRACT(j, '$') AS je FROM t ORDER BY je, i;
SELECT i, JSON_EXTRACT(j, '$') AS je FROM t ORDER BY je DESC, i;
INSERT INTO t(i, j) VALUES (1, '1');
SELECT * FROM t ORDER BY j, i;
SELECT * FROM t ORDER BY j DESC, i;
SELECT i, JSON_EXTRACT(j, '$') AS je FROM t ORDER BY je, i;
SELECT i, JSON_EXTRACT(j, '$') AS je FROM t ORDER BY je DESC, i;
DROP TABLE t;
# Merging of sort results should not get confused if one of the sort columns is
# a JSON column.
CREATE TABLE t(vc TEXT, j JSON);
INSERT INTO t (vc) VALUES ('a'), ('b'), ('c');
INSERT INTO t SELECT * FROM t;
INSERT INTO t SELECT * FROM t;
INSERT INTO t SELECT * FROM t;
INSERT INTO t SELECT * FROM t;
INSERT INTO t SELECT * FROM t;
INSERT INTO t SELECT * FROM t;
INSERT INTO t SELECT * FROM t;
SELECT * FROM t ORDER BY vc, j;
DROP TABLE t;
--echo # ----------------------------------------------------------------------
--echo # Test of JSON_VALID function.
--echo # ----------------------------------------------------------------------
--echo
--echo # Table - Json string column - utf-8, NULL
--echo Note: 'utf8' is a subset of internal 'utf8mb4'
--echo
create table utf8_t (c varchar(20)) CHARACTER SET 'utf8';
insert into utf8_t values (NULL);
-- echo # Expect NULL:
select JSON_VALID(c) from utf8_t;
delete from utf8_t;
--echo
--echo # Table - Json string column - utf-8, valid
insert into utf8_t values ('[123]');
select JSON_VALID(c) from utf8_t;
delete from utf8_t;
--echo
--echo # Table - Json string column - utf-8, non-utf8
insert into utf8_t values ('[123');
--echo expect 0 (false)
select JSON_VALID(c) from utf8_t;
delete from utf8_t;
--echo
--echo # Table - Try to extract JSON from TIMESTAMP column
ALTER TABLE utf8_t ADD d TIMESTAMP;
--echo # Should give false; not string or JSON type
--echo # and we do not convert automatically from TIMESTAMP to JSON
insert into utf8_t values (NULL, '2014-11-25 18:00');
select JSON_VALID(d) from utf8_t;
--echo # Explicit cast to a character data type
--echo # allows MySQL to parse this is a JSON text
--echo # The string isn't a legal JSON document, tho, so not valid.
select JSON_VALID(CAST(d as CHAR)) from utf8_t;
--echo # Should give true
select JSON_VALID(CONCAT( CONCAT('"', CAST(d as CHAR)), '"')) from utf8_t;
delete from utf8_t;
drop table utf8_t;
--echo
--echo # Table - JSON type; should give true by definition
create table json_t(t json);
insert into json_t values ('[123]');
select json_VALID(t) from json_t;
--echo
--echo # Function result - JSON
select JSON_VALID( JSON_ARRAY(t, t) ) from json_t;
drop table json_t;
--echo # ----------------------------------------------------------------------
--echo # Test of JSON_LENGTH function.
--echo # ----------------------------------------------------------------------
create table utf8_mj_length (a int, c varchar(20)) CHARACTER SET 'utf8';
insert into utf8_mj_length values( 1, null );
insert into utf8_mj_length values( 2, '1' );
insert into utf8_mj_length values( 3, 'abc' );
insert into utf8_mj_length values( 4, '"abc"' );
insert into utf8_mj_length values ( 5, 'true' );
insert into utf8_mj_length values ( 6, 'false' );
insert into utf8_mj_length values ( 7, 'null' );
select a, c, json_length( c ) from utf8_mj_length where a = 1;
select a, c, json_length( c ) from utf8_mj_length where a = 2;
--echo
--echo # invalid json text
--error ER_INVALID_JSON_TEXT_IN_PARAM
select a, c, json_length( c ) from utf8_mj_length where a = 3;
select a, c, json_length( c ) from utf8_mj_length where a = 4;
select a, c, json_length( c ) from utf8_mj_length where a = 5;
select a, c, json_length( c ) from utf8_mj_length where a = 6;
select a, c, json_length( c ) from utf8_mj_length where a = 7;
create table json_mj_length( a int, b json );
insert into json_mj_length values( 1, NULL );
select a, b, json_length( b ) from json_mj_length where a = 1;
# json_length() with vacuous path expressions
set names 'ascii';
--echo
--echo # path auto-converted to a utf8 string from ascii
--echo
select a, c, json_length( c, '$' ) from utf8_mj_length where a = 2;
set names 'utf8';
select a, c, json_length( c, '$' ) from utf8_mj_length where a = 1;
select a, c, json_length( c, '$' ) from utf8_mj_length where a = 2;
--echo
--echo # invalid json text
--error ER_INVALID_JSON_TEXT_IN_PARAM
select a, c, json_length( c, '$' ) from utf8_mj_length where a = 3;
select a, c, json_length( c, '$' ) from utf8_mj_length where a = 4;
select a, c, json_length( c, '$' ) from utf8_mj_length where a = 5;
select a, c, json_length( c, '$' ) from utf8_mj_length where a = 6;
select a, c, json_length( c, '$' ) from utf8_mj_length where a = 7;
select a, b, json_length( b, '$' ) from json_mj_length where a = 1;
drop table utf8_mj_length;
drop table json_mj_length;
# different paths for each row
CREATE TABLE json_remove_t(j JSON, p TEXT);
INSERT INTO json_remove_t(p) VALUES ('$.a'), ('$.b'), ('$.c');
UPDATE json_remove_t SET j = '{"a":1,"b":2,"c":3}';
SELECT j, p, json_remove(j, p) FROM json_remove_t ORDER BY p;
DROP TABLE json_remove_t;
CREATE TABLE json_merge_t(i INT, j JSON);
INSERT INTO json_merge_t VALUES
(0, NULL),
(1, 'true'),
(2, '5'),
(3, '[1,2]'),
(4, '{"a":["x", "y"]}'),
(5, '{"a":"b","c":"d"}');
SELECT t1.j, t2.j, json_merge(t1.j, t2.j), json_merge(t2.j, t1.j)
FROM json_merge_t t1, json_merge_t t2 ORDER BY t1.i, t2.i;
DROP TABLE json_merge_t;
create table keys1(i int, j json);
insert into keys1 select i, j from t1;
DROP TABLE t1;
# example from the wl7909 spec
create table rawOrders( orderID int, doc json );
insert into rawOrders values ( 1, '100' ), ( 2, '{ "id": 2, "quantity": 200 }' );
create table orders( orderID int, quantity int unsigned );
INSERT INTO orders( orderID, quantity )
SELECT
r.orderID,
CASE( JSON_TYPE( r.doc ) )
WHEN "INTEGER" THEN CAST( r.doc AS UNSIGNED INT )
WHEN "OBJECT" THEN CAST( JSON_EXTRACT( r.doc, '$.quantity' ) AS UNSIGNED INT )
ELSE NULL
END
FROM rawOrders r;
select * from rawOrders order by orderID;
select * from orders order by orderID;
drop table rawOrders;
drop table orders;
# the value here isn't important, but it should be stable
select charset(json_type('{}'));
--echo # ----------------------------------------------------------------------
--echo # Test of CAST(<column> AS JSON)
--echo # ----------------------------------------------------------------------
create table t1(dati datetime, da date,
tim time, ts timestamp,
y year,
--
ti tinyint, tiu tinyint unsigned,
si smallint, siu smallint unsigned,
mi mediumint, miu mediumint unsigned,
i int, iu int unsigned,
bi bigint, biu bigint unsigned,
boo boolean,
--
dc decimal(5,2),
n numeric(5,2),
--
f float, d double,
bitt bit(10),
blb blob,
bin binary(10),
en enum('a','b','c'),
se set('a','b','c'),
--
ge geometry,
po point,
ls linestring,
py polygon,
js json
);
insert into t1 values('2014-11-25 18:00', '2014-11-25',
'18:00:59', '2014-11-25 18:00',
'1999',
--
127, 255,
32767, 65535,
8388607, 16777215, -- 3 bytes
2147483647, 4294967295, -- 4 bytes
9223372036854775807, 18446744073709551615,
true,
--
3.14,
3.14,
--
3.14, 3.14,
b'10101',
'10101abcde',
'10101abcde',
'b',
'a,c',
--
ST_GeomFromText('POINT(1 1)'),
ST_GeomFromText('POINT(1 1)'),
ST_GeomFromText('LINESTRING(0 0,1 1,2 2)'),
ST_GeomFromText('POLYGON((0 0,10 0,10 10,0 10,0 0),
(5 5,7 5,7 7,5 7, 5 5))'),
'[123]'
);
select json_type(cast(dati as json)) from t1;
select json_type(cast(da as json)) from t1;
select json_type(cast(tim as json)) from t1;
select json_type(cast(ts as json)) from t1;
select json_type(cast(y as json)) from t1;
select json_type(cast(ti as json)) from t1;
select json_type(cast(tiu as json)) from t1;
select json_type(cast(si as json)) from t1;
select json_type(cast(siu as json)) from t1;
select json_type(cast(mi as json)) from t1;
select json_type(cast(miu as json)) from t1;
select json_type(cast(i as json)) from t1;
select json_type(cast(iu as json)) from t1;
select json_type(cast(bi as json)) from t1;
select json_type(cast(biu as json)) from t1;
select json_type(cast(boo as json)) from t1; # INTEGER (not enough info)
select json_type(cast(dc as json)) from t1;
# select json_type(cast(n as json)) from t1;
select json_type(cast(f as json)) from t1;
select json_type(cast(d as json)) from t1;
select json_type(cast(bitt as json)) from t1;
select json_type(cast(blb as json)) from t1;
select json_type(cast(bin as json)) from t1;
select json_type(cast(en as json)) from t1;
select json_type(cast(se as json)) from t1;
select json_type(cast(ge as json)) from t1;
select json_type(cast(po as json)) from t1;
select json_type(cast(ls as json)) from t1;
select json_type(cast(py as json)) from t1;
select json_type(cast(js as json)) from t1;
#
# same, but now show the printable value:
#
select cast(dati as json) from t1;
select cast(da as json) from t1;
select cast(tim as json) from t1;
select cast(ts as json) from t1;
select cast(y as json) from t1;
select cast(ti as json) from t1;
select cast(tiu as json) from t1;
select cast(si as json) from t1;
select cast(siu as json) from t1;
select cast(mi as json) from t1;
select cast(miu as json) from t1;
select cast(i as json) from t1;
select cast(iu as json) from t1;
select cast(bi as json) from t1;
select cast(biu as json) from t1;
select cast(boo as json) from t1; # INTEGER (not enough info)
select cast(dc as json) from t1;
# select cast(n as json) from t1;
select cast(f as json) from t1;
select cast(d as json) from t1;
select cast(bitt as json) from t1;
select cast(blb as json) from t1;
select cast(bin as json) from t1;
select cast(en as json) from t1;
select cast(se as json) from t1;
select cast(ge as json) from t1;
select cast(po as json) from t1;
select cast(ls as json) from t1;
select cast(py as json) from t1;
select cast(js as json) from t1;
--echo #
--echo # Bug#21442878 INCORRECT RETURN STATUS FROM
--echo # ITEM_JSON_TYPECAST::VAL_JSON() ON PARSE ERRORS
--echo #
--error ER_INVALID_TYPE_FOR_JSON
select json_extract(en, '$') from t1;
drop table t1;
create table t1 ( c1 varchar(200) character set 'latin1',
c2 varchar(200) character set 'utf8' );
insert into t1 values ('[1,2]', # legal json, but not utf-8
'[1,2 '); # illegal json, but utf-8
# convert latin1 to UTF-8
select cast(c1 as json) from t1;
--error ER_INVALID_JSON_TEXT_IN_PARAM
select cast(c2 as json) from t1;
--error ER_INVALID_JSON_TEXT_IN_PARAM
select cast(c2 as json) is null from t1;
drop table t1;
# Two distinct but related bugs detected by Knut 2015-02-05 caused NULL for y here:
create table t2(x int);
insert into t2 values (1), (2);
select x, cast(y as json) from (select x, cast(x as json) as y from t2) s order by x;
select x, cast(y as json) from (select x, cast(cast(x as json) as char charset utf8) as y from t2) s order by x;
drop table t2;
--echo # ----------------------------------------------------------------------
--echo # Test of CAST(<select> AS JSON)
--echo # ----------------------------------------------------------------------
# positive test cases
select cast((select 1) as json);
create table t(i int, j json, c char(10) character set 'utf8');
insert into t values (5, '6', '{}');
select cast((select i from t) as json);
select cast((select j from t) as json);
select cast((select c from t) as json);
select cast((select cast(i as json) from t) as json);
select cast((select cast(j as json) from t) as json);
select cast((select cast(c as json) from t) as json);
insert into t values (7, '8', '[]');
--error ER_SUBQUERY_NO_1_ROW
select cast((select i from t) as json);
# Test what happens if the subquery returns NULL. The casts should
# return SQL NULL.
delete from t;
insert into t values (null, null, null);
select cast((select i from t) as json);
select cast((select j from t) as json);
select cast((select cast(i as json) from t) as json);
select cast((select cast(j as json) from t) as json);
select cast((select cast(c as json) from t) as json);
# negative test cases
--error ER_OPERAND_COLUMNS
select cast((select i,i from t) as json);
--error ER_OPERAND_COLUMNS
select cast((select * from t) as json);
drop table t;
--echo # ----------------------------------------------------------------------
--echo # Test of JSON_KEYS function.
--echo # ----------------------------------------------------------------------
select i, json_keys(j) from keys1 order by i;
delete from keys1;
insert into keys1 values (0, NULL),
(1, '{"a": 1, "b": {"e": "foo", "b": 3}}');
select i, json_keys(j), json_keys(j, '$.b') from keys1 order by i;
select cast(j as char) from keys1 order by i;
create table t(i int);
select cast(json_extract(j, '$.b.b') as char) from keys1 order by i;
insert into t select cast(json_extract(j, '$.b.b') as char) from keys1;
select * from t order by i;
drop table t;
drop table keys1;
# positive test cases
create table t(j json);
insert into t values ('[ 1, 2, 3, {"a": [4,5,6]}]');
select json_array_append(j, '$[3].a', cast(7 as json)) from t;
select json_array_append(j, '$', 7) from t;
select json_array_append(j, '$', cast(7 as json), '$[3].a', 3.14) from t;
--echo # second path's append ignored since it doesn't specify an array
--echo # nor is it an existing scalar, so no auto-wrapping either
select json_array_append(j, '$', 7, '$[3].b', cast(8 as json)) from t;
drop table t;
# path caching and leg popping
create table jdoc( id int, doc json );
insert into jdoc values
( 1, '[ [ true ], [ false ] ]' ),
( 2, '[ [ 0 ], [ 1 ] ]' ),
( 3, '[ [ "abc" ], [ "def" ] ]' );
select id, json_array_insert( doc, '$[0][1]', 'fred' )
from jdoc order by id;
select id, json_array_insert( doc, '$[1][0]', 'fred' )
from jdoc order by id;
drop table jdoc;
create table t( id int, v varchar(10));
insert into t values (1, 'a'), (2, null), (3, 'a');
select id v, json_array_insert('[[1]]', '$[0][0]', v) from t order by id;
drop table t;
--echo #
--echo # Bug #21304639: JSON_SET() WITH MULTI-LEG PATH RETURNS DIFFERENT
--echo # RESULTS ON FIRST ROW VS NEXT
--echo #
create table t21304639(pk int);
insert into t21304639 values (2), (1), (3);
select json_set(
json_object('existing', pk),
'$.key_b.test',
json_object('new', 'apple')
) as field1 from t21304639 order by field1;
select json_set(
json_object('existing', pk),
'$.key_b.test',
json_object('new', 'apple')
) as field1 from t21304639 order by field1;
drop table t21304639;
create table t (i int, j json, d double);
insert into t values (3, '["a", "b"]', 3.14);
select json_array(i, j, d) from t;
drop table t;
# Array with the smallest possible signed integer and the largest possible
# unsigned integer.
CREATE TABLE t(j JSON);
INSERT INTO t VALUES (JSON_ARRAY(-9223372036854775808, 18446744073709551614));
SELECT * FROM t;
DROP TABLE t;
# examples from the wl7909 spec
create table department( id int, deptName varchar(50), isExempt boolean, blobColumn blob );
insert into department values ( 405, 'Accounting', true, '<a><b>ccc</b><d></d></a>' );
# returns ["Accounting", {"processed": true }]
SELECT JSON_ARRAY( d.deptName, CAST( '{ "processed" : true }' AS JSON ) )
FROM department d
WHERE id = 405;
# stores a JSON value in a JSON-typed column
create table json_table( json_column json );
INSERT INTO json_table( json_column )
SELECT JSON_ARRAY( d.deptName, d.id, d.blobColumn )
FROM department d
WHERE id = 405;
drop table json_table;
drop table department;
create table misc_dt
(
id int, py polygon
);
insert into misc_dt values
(
1, ST_GeomFromText('POLYGON((0 0,10 0,10 10,0 10,0 0),
(5 5,7 5,7 7,5 7, 5 5))')
),
(
2, null
);
select id, json_array( true, py, false ) from misc_dt order by id;
drop table misc_dt;
# construct from data in a table
create table jro
(
a int,
b varchar( 10 ),
c boolean
);
insert into jro( a, b, c ) values
( 0, 'zero', false ),
( 1, 'one', true ),
( null, null, null );
select a, json_object( 'a', a, 'b', b, 'c', c )
from jro
order by a;
drop table jro;
create table jro2( a int, b varchar( 10 ), c json );
insert into jro2 ( a, b, c ) values
( 1, 'array', '[ 1, 2, 3 ]' ), ( 2, 'object', '{ "d": "foo", "e": true }' );
select a, json_object( 'type', b, 'value', c )
from jro2 order by a;
drop table jro2;
# examples from the wl7909 spec
create table department( id int, deptName varchar(50), isExempt boolean, blobColumn blob );
insert into department values ( 405, 'Accounting', true, '<a><b>ccc</b><d></d></a>' );
# returns {"deptName": "Accounting", "id": 405, "isExempt": true, "date": 2014-11-0400:00:00.000000}
SELECT JSON_OBJECT
(
'deptName', d.deptName,
'id', d.id,
'isExempt', d.isExempt and true
)
FROM department d
WHERE id = 405;
drop table department;
# key names which aren't strings
create table misc_dt
(
py polygon
);
insert into misc_dt values
(
ST_GeomFromText('POLYGON((0 0,10 0,10 10,0 10,0 0),
(5 5,7 5,7 7,5 7, 5 5))')
);
--error ER_INVALID_JSON_CHARSET
select json_object( py, 'def' ) from misc_dt;
drop table misc_dt;
create table json_search_table( id_col int, json_col json );
insert into json_search_table values
( 1, '{ "a": "foobar" }' ),
( 2, '{ "a": "foobar", "b": "focus", "c": [ "arm", "foot", "shoulder" ] }' );
select id_col, json_search( json_col, 'all', 'foo%' )
from json_search_table
order by id_col;
select id_col, json_search( json_col, 'all', 'foot' )
from json_search_table
order by id_col;
select id_col, json_search( json_col, 'all', 'f__us' )
from json_search_table
order by id_col;
# tests with path arguments
delete from json_search_table;
insert into json_search_table values
( 1, '{ "a": "foobar" }' ),
( 2, '{ "a": [ "foolish", "folly", "foolhardy" ], "b" : "fool" }' );
select id_col, json_search( json_col, 'all', 'foo%', null, '$.a' )
from json_search_table
order by id_col;
select id_col, json_search( json_col, 'all', 'foo%', null, '$.a', '$.b' )
from json_search_table
order by id_col;
select id_col, json_search( json_col, 'one', 'foo%', null, '$.a', '$.b' )
from json_search_table
order by id_col;
delete from json_search_table;
insert into json_search_table values
( 1, '{ "a": "foobar" }' ),
( 2, '[ { "a": { "b": { "c": "fool" } } }, { "b": { "c": "shoulder" } }, { "c": { "c": "food"} } ]' );
select id_col, json_search( json_col, 'all', 'foo%', null, '$.a', '$**.c' )
from json_search_table
order by id_col;
select id_col, json_search( json_col, 'one', 'foo%', null, '$.a', '$**.c' )
from json_search_table
order by id_col;
drop table json_search_table;
# verify that the double-quoted strings returned by json_search()
# are valid path expressions when unpacked via json_unquote().
create table jep( key_col int primary key, doc json, path varchar( 50 ) );
insert into jep values
( 1, '{ "onepotato": "seven" }', '$.onepotato' ),
( 2, '{ "one potato": "seven" }', '$."one potato"' ),
( 3, '{ "one \\"potato": "seven" }', '$."one \\"potato"' ),
( 4, '{ "one \\npotato": "seven" }', '$."one \\npotato"' );
select key_col,
json_search( doc, 'all', 'seven' ) paths,
json_unquote( cast( json_search( doc, 'all', 'seven' ) as char ) ) unquoted,
path
from jep order by key_col;
drop table jep;
--echo # ----------------------------------------------------------------------
--echo # Test of CASE and IF expressions returning JSON
--echo # ----------------------------------------------------------------------
create table t(j json);
insert into t values (null), ('[3,4,5]');
select json_type(case (j is null) when 1 then
cast('null' as json) else
cast('[1,2,3]' as json) end) from t order by j;
# no else clause
select json_type(case (j is null) when 1 then cast(1 as json) end) from t order by j;
select json_type( if(j is null,
cast('{"a": 6}' as json),
cast('[1,2,3]' as json))) from t order by j;
select json_type( if(j is null,
NULL,
cast('[1,2,3]' as json)) ) from t order by j;
--echo # ----------------------------------------------------------------------
--echo # Test of CASE and IF expressions with mix of JSON and other types
--echo # Common result type is VARCHAR
--echo # ----------------------------------------------------------------------
select json_type(case (j is null) when 1 then
3.14 else
cast('[1,2,3]' as json) end) from t order by j;
select case (j is null) when 1 then
3.14 else
cast('[1,2,3]' as json) end from t order by j;
select case (j is null) when 1 then
'foobar' else
cast('[1,2,3]' as json) end from t order by j;
select json_type( if(j is null,
3.14,
cast('[1,2,3]' as json))) from t order by j;
select if(j is null,
3.14,
cast('[1,2,3]' as json)) from t order by j;
--echo # ----------------------------------------------------------------------
--echo # Test of IFNULL
--echo # ----------------------------------------------------------------------
select json_type(ifnull(j, cast(3 as json))) from t order by j;
select ifnull(j, cast(3 as json)) from t order by j; # json_type masked a bug
select json_type(ifnull(NULL, cast(3 as json)));
select json_type(ifnull(cast(3 as json), NULL));
--error ER_INVALID_JSON_TEXT_IN_PARAM
SELECT JSON_TYPE(IFNULL(JSON_EXTRACT(CONCAT(t1.j, 'abc'), '$'), t2.j))
FROM t t1, t t2;
--error ER_INVALID_JSON_TEXT_IN_PARAM
SELECT JSON_TYPE(IFNULL(t1.j, JSON_EXTRACT(CONCAT(t2.j, 'abc'), '$')))
FROM t t1, t t2;
--echo # ----------------------------------------------------------------------
--echo # Json values used in text contexts
--echo # ----------------------------------------------------------------------
delete from t;
insert into t values (NULL), (cast('"aBc"' as json));
select upper(j) from t order by j;
delete from t;
insert into t values (cast(1 as json)), (cast(10 as json)), (cast(2 as json));
select * from t order by j;
select max(j) from t;
select json_type(max(j)) from t;
select min(j) from t;
select json_type(max(j)) from t;
# if we want another sorting, cast to suitable type
select max(cast(j as unsigned)) from t;
--error ER_INVALID_TYPE_FOR_JSON
select json_type(max(cast(j as unsigned))) from t;
drop table t;
--echo # ----------------------------------------------------------------------
--echo # Test JSON arguments and return values of stored functions
--echo # ----------------------------------------------------------------------
create function make_message
(
sender varchar(50),
receiver varchar(50),
subject text,
received datetime,
body text
)
returns json
language sql deterministic no sql
return json_object
(
'sender', sender,
'receiver', receiver,
'subject', subject,
'received', received,
'body', body
);
create function extract_date( message json )
returns datetime
language sql deterministic no sql
return json_extract( message, '$.received' );
create table messages
(
id int,
raw_message json
);
insert into messages(id, raw_message) values
(
1,
make_message
(
'fred',
'alice',
'lunch today?',
timestamp( '2015-05-11 09:30:05' ),
'How about lunch at 11:30?'
)
),
(
2,
make_message
(
'alice',
'fred',
're: lunch today?',
timestamp( '2015-05-11 09:45:05' ),
'Sorry. I am in meetings all day long.'
)
),
(
3,
json_object
(
'sender', 'fred',
'receiver', 'alice',
'subject', 're: lunch today?',
'received', timestamp( '2015-05-11 09:50:05' ),
'body', 'Oh, bummer.'
)
)
;
select * from messages order by id;
# should be DATETIME
select json_type
(
json_extract
(
json_object
(
'sender', 'fred',
'receiver', 'alice',
'subject', 'lunch today?',
'received', timestamp( '2015-05-11 09:45:05' ),
'body', 'How about lunch at 11:30?'
),
'$.received'
)
) received_type
;
select id, extract_date( raw_message ) extracted_date
from messages order by id;
create function show_received_type( message json )
returns tinytext
language sql deterministic no sql
return json_type( json_extract( message, '$.received' ) );
# should be DATETIME
select show_received_type
(
json_object
(
'sender', 'fred',
'receiver', 'alice',
'subject', 're: lunch today?',
'received', timestamp( '2015-05-11 09:50:05' ),
'body', 'Oh, bummer.'
)
) received_type;
# should be DATETIME
select show_received_type
(
make_message
(
'fred',
'alice',
'lunch today?',
timestamp( '2015-05-11 09:30:05' ),
'How about lunch at 11:30?'
)
) received_type;
# should be DATETIME
select id, show_received_type( raw_message ) received_type
from messages order by id;
drop function show_received_type;
drop function make_message;
drop function extract_date;
drop table messages;
--echo # Test a function that fails.
CREATE FUNCTION func_that_fails() RETURNS JSON
LANGUAGE SQL DETERMINISTIC NO SQL
RETURN '[not valid json]';
--error ER_INVALID_JSON_TEXT
SELECT JSON_EXTRACT(func_that_fails(), '$');
DROP FUNCTION func_that_fails;
# test a more complicated stored function which declares a JSON variable
delimiter //;
create function get_types( input_value json )
returns json
language sql deterministic contains sql
begin
declare array_length integer;
declare return_value json;
declare idx int;
declare path varchar(100);
set array_length = json_length( input_value );
set return_value = json_array();
set idx = 0;
while idx < array_length do
set path = concat( '$[', idx, ']' );
set return_value = json_array_append
(
return_value,
'$',
json_type( json_extract( input_value, path ) )
);
set idx = idx + 1;
end while;
return return_value;
end//
delimiter ;//
create table blob_table( blob_col blob );
insert into blob_table values( '10101abcde' );
select json_type( dt.a ), dt.a
from
( select get_types
(
json_array
(
cast( '{}' as json ),
cast( '[]' as json ),
'null',
true,
1,
2.3,
timestamp( '2015-05-11 09:30:05' ),
cast('23:24:25' as time),
cast('2015-01-15' as date),
b'10101',
blob_col
)
) a
from blob_table
) dt;
drop table blob_table;
drop function get_types;
delimiter //;
create procedure merge_docs
(
inout inout_value json
)
begin
set inout_value = json_object();
end//
delimiter ;//
delimiter //;
create procedure merge_doc_types()
begin
declare proc_inout json;
declare tmp_types varchar(100);
set proc_inout = null;
call merge_docs( proc_inout );
set tmp_types = json_type( proc_inout );
end//
delimiter ;//
call merge_doc_types();
drop procedure merge_doc_types;
drop procedure merge_docs;
delimiter //;
create function get_types( input_value json )
returns json
language sql deterministic contains sql
begin
declare array_length integer;
declare return_value json;
declare idx int;
declare path varchar(100);
set array_length = json_length( input_value );
set return_value = json_array();
set idx = 0;
while idx < array_length do
set path = concat( '$[', idx, ']' );
set return_value = json_array_append
(
return_value,
'$',
json_type( json_extract( input_value, path ) )
);
set idx = idx + 1;
end while;
return return_value;
end//
delimiter ;//
delimiter //;
create procedure merge_docs
(
in in_value json,
inout inout_value json,
out out_value json
)
language sql deterministic contains sql
begin
set out_value = json_merge( in_value, inout_value );
set inout_value = in_value;
end//
delimiter ;//
delimiter //;
create procedure merge_doc_types
(
out in_types varchar(100),
out inout_types varchar(100),
out out_types varchar(100)
)
language sql deterministic contains sql
begin
declare proc_in json;
declare proc_inout json;
declare proc_out json;
set proc_in = json_array
(
cast( '{}' as json ),
cast( '[]' as json ),
'null',
true
);
set proc_inout = json_array
(
1,
2.3,
timestamp( '2015-05-11 09:30:05' ),
cast('23:24:25' as time),
cast('2015-01-15' as date),
b'10101'
);
set proc_out = null;
call merge_docs( proc_in, proc_inout, proc_out );
set in_types = get_types( proc_in );
set inout_types = get_types( proc_inout );
set out_types = get_types( proc_out );
end//
delimiter ;//
call merge_doc_types( @in_types, @inout_types, @out_types );
select @in_types, @inout_types, @out_types;
drop procedure merge_doc_types;
drop procedure merge_docs;
drop function get_types;
--echo #
--echo # Bug#20898238: WRONG RESULT FOR MAX() OF JSON SCALARS RETURNED
--echo # WHEN NULL IS PRESENT
--echo #
CREATE TABLE bug20898238(j JSON);
INSERT INTO bug20898238 VALUES ('{"id":1}'), (NULL), ('{"id":2}'), ('{"id":0}');
SELECT MIN(JSON_EXTRACT(j, '$.id')),
MAX(JSON_EXTRACT(j, '$.id')) FROM bug20898238;
DROP TABLE bug20898238;
--echo # ----------------------------------------------------------------------
--echo # Test of aggregate function SUM, AVG: in constrast to strings, we do not
--echo # auto-convert to numeric (double) type:
--echo # ----------------------------------------------------------------------
create table t(j json, c varchar(20));
insert into t values (cast('[1,2,3]' as json), '[a,b,c]');
insert into t values (cast(7 as json), '7'), (cast(2 as json), '2');
--disable_warnings
select sum(j), sum(cast(j as unsigned)), sum(c) from t;
select avg(j), avg(cast(j as unsigned)), avg(c) from t;
--enable_warnings
--echo # ----------------------------------------------------------------------
--echo # Test of aggregate function COUNT(DISTINCT) and unaggregated DISTINCT
--echo # ----------------------------------------------------------------------
create table t_doc( bucket int, doc json);
insert into t_doc values
( 1, cast( 1 as json ) ),
( 1, cast( 1.0 as json ) ),
( 1, cast( 1e0 as json ) ),
( 2, cast( cast( 1 as unsigned ) as json ) ),
( 2, cast( 2 as json ) ),
( 2, cast( 2.0 as json ) ),
( 3, cast( 2e0 as json ) ),
( 3, cast( cast( 7 as unsigned ) as json ) ),
( 3, cast( 7 as json ) ),
( 4, cast( 7.0 as json ) ),
( 4, cast( 7e0 as json ) ),
( 4, cast( cast( 7 as unsigned ) as json ) ),
( 5, cast( true as json ) ),
( 5, cast( true as json ) ),
( 5, cast( false as json ) ),
( 6, cast( false as json ) ),
( 6, cast( 'null' as json ) ),
( 6, cast( 'null' as json ) ),
( 7, cast( '"abc"' as json ) ),
( 7, cast( '"abc"' as json ) ),
( 7, cast( '"abcd"' as json ) ),
( 8, cast( '"abcd"' as json ) ),
( 8, cast( '{ "a": 1, "b": 2 }' as json ) ),
( 8, cast( '{ "a": 1, "b": 2 }' as json ) ),
( 9, cast( '{ "a": 1, "b": 3 }' as json ) ),
( 9, cast( '{ "a": 1, "b": 3 }' as json ) ),
( 9, cast( '[ true, false ]' as json ) ),
( 10, cast( '[ true, false ]' as json ) ),
( 10, cast( '[ true, true ]' as json ) );
# The results depend on the order of evaluation of rows.
# Values 7, 7.0, and 7e0 compare equal for distinct but the result
# depends on which row is evaluated first so we remove .0 and e0.
--replace_regex /\.0// /e0//
select distinct( doc ) a from t_doc order by a;
select count( distinct doc ) from t_doc;
select bucket, count( distinct doc ) from t_doc group by bucket;
delete from t_doc;
create table dt(dati datetime, da date,
tim time, ts timestamp,
y year,
--
ti tinyint, tiu tinyint unsigned,
si smallint, siu smallint unsigned,
mi mediumint, miu mediumint unsigned,
i int, iu int unsigned,
bi bigint, biu bigint unsigned,
boo boolean,
--
dc decimal(5,2),
n numeric(5,2),
--
f float, d double,
bitt bit(10),
blb blob,
bin binary(10),
en enum('a','b','c'),
se set('a','b','c'),
--
ge geometry,
po point,
ls linestring,
py polygon,
jso json,
jsa json,
id int
);
# test with distinct values
insert into dt values('2014-11-25 18:00', '2014-11-25',
'18:00:59', '2014-11-25 17:00',
'1999',
--
127, 255,
32767, 65535,
8388607, 16777215, -- 3 bytes
2147483647, 4294967295, -- 4 bytes
9223372036854775807, 18446744073709551615,
true,
--
3.1,
3.2,
--
3.3, 3.4,
b'10101',
'10101abcde',
'10001abcde',
'b',
'a,c',
--
ST_GeomFromText('POINT(1 1)'),
ST_GeomFromText('POINT(1 2)'),
ST_GeomFromText('LINESTRING(0 0,1 1,2 2)'),
ST_GeomFromText('POLYGON((0 0,10 0,10 10,0 10,0 0),
(5 5,7 5,7 7,5 7, 5 5))'),
'{"a": 1, "b": 2 }',
'[1, 2]',
1
),
('2013-11-25 18:00', '2013-11-25',
'17:00:59', '2013-11-25 17:00',
'1998',
--
126, 254,
32766, 65534,
8388606, 16777214, -- 3 bytes
2147483646, 4294967294, -- 4 bytes
9223372036854775806, 18446744073709551614,
false,
--
4.1,
4.2,
--
4.3, 4.4,
b'10111',
'10001abcdf',
'10101abcdf',
'a',
'a,b',
--
ST_GeomFromText('POINT(1 3)'),
ST_GeomFromText('POINT(1 4)'),
ST_GeomFromText('LINESTRING(0 0,1 1,2 3)'),
ST_GeomFromText('POLYGON((0 0,10 0,10 10,0 9,0 0),
(5 5,7 5,7 7,5 7, 5 5))'),
'{"a": 1, "b": 3 }',
'[1, 3]',
2
);
# types whose representations are unstable across platforms
insert into t_doc select id, cast(f as json) from dt;
insert into t_doc select id, cast(d as json) from dt;
insert into t_doc select * from t_doc;
select count( distinct doc ) from t_doc;
select bucket, count( distinct doc ) from t_doc group by bucket;
delete from t_doc;
# types which have stable representations across platforms
insert into t_doc select id, cast(dati as json) from dt;
insert into t_doc select id, cast(da as json) from dt;
insert into t_doc select id, cast(tim as json) from dt;
insert into t_doc select id, cast(ts as json) from dt;
insert into t_doc select id, cast(y as json) from dt;
insert into t_doc select id, cast(ti as json) from dt;
insert into t_doc select id, cast(tiu as json) from dt;
insert into t_doc select id, cast(si as json) from dt;
insert into t_doc select id, cast(siu as json) from dt;
insert into t_doc select id, cast(mi as json) from dt;
insert into t_doc select id, cast(miu as json) from dt;
insert into t_doc select id, cast(i as json) from dt;
insert into t_doc select id, cast(iu as json) from dt;
insert into t_doc select id, cast(bi as json) from dt;
insert into t_doc select id, cast(biu as json) from dt;
# FIXME: booleans don't retain their boolean values. they become ints.
#insert into t_doc select id, cast(boo as json) from dt;
insert into t_doc select id, cast(dc as json) from dt;
insert into t_doc select id, cast(n as json) from dt;
insert into t_doc select id, cast(bitt as json) from dt;
insert into t_doc select id, cast(blb as json) from dt;
insert into t_doc select id, cast(bin as json) from dt;
insert into t_doc select id, cast(en as json) from dt;
insert into t_doc select id, cast(se as json) from dt;
insert into t_doc select id, cast(ge as json) from dt;
insert into t_doc select id, cast(po as json) from dt;
insert into t_doc select id, cast(ls as json) from dt;
insert into t_doc select id, cast(py as json) from dt;
insert into t_doc select id, jso from dt;
insert into t_doc select id, jsa from dt;
insert into t_doc select * from t_doc;
#The results depend on the order of evaluation of rows
select distinct( doc ) a from t_doc order by a;
select count( distinct doc ) from t_doc;
select bucket, count( distinct doc ) from t_doc group by bucket;
# test with non-distinct values
delete from t_doc;
create table ndt(dati datetime,
ts timestamp,
--
ti tinyint, tiu tinyint unsigned,
si smallint, siu smallint unsigned,
mi mediumint, miu mediumint unsigned,
i int, iu int unsigned,
bi bigint, biu bigint unsigned,
--
dc decimal(5,2),
n numeric(5,2),
--
f float, d double,
id int
);
insert into ndt values('2014-11-25 18:00',
'2014-11-25 18:00',
--
1, 1,
1, 1,
1, 1,
1, 1,
1, 1,
--
1.0,
1.0,
--
1.0, 1.0,
1
),
('2013-11-25 18:00',
'2013-11-25 18:00',
--
2, 2,
2, 2,
2, 2,
2, 2,
2, 2,
--
2.0,
2.0,
--
2.0, 2.0,
2
);
insert into t_doc select id, cast(dati as json) from ndt;
insert into t_doc select id, cast(ts as json) from ndt;
insert into t_doc select id, cast(ti as json) from ndt;
insert into t_doc select id, cast(tiu as json) from ndt;
insert into t_doc select id, cast(si as json) from ndt;
insert into t_doc select id, cast(siu as json) from ndt;
insert into t_doc select id, cast(mi as json) from ndt;
insert into t_doc select id, cast(miu as json) from ndt;
insert into t_doc select id, cast(i as json) from ndt;
insert into t_doc select id, cast(iu as json) from ndt;
insert into t_doc select id, cast(bi as json) from ndt;
insert into t_doc select id, cast(biu as json) from ndt;
insert into t_doc select id, cast(dc as json) from ndt;
insert into t_doc select id, cast(n as json) from ndt;
insert into t_doc select id, cast(f as json) from ndt;
insert into t_doc select id, cast(d as json) from ndt;
insert into t_doc select * from t_doc;
# The results depend on the order of evaluation of rows
#select distinct( doc ) a from t_doc order by a;
select count( distinct doc ) from t_doc;
select bucket, count( distinct doc ) from t_doc group by bucket;
drop table t_doc;
drop table dt;
drop table ndt;
--echo # ----------------------------------------------------------------------
--echo # Special CASTing behavior of geometry types
--echo # ----------------------------------------------------------------------
create table jtable( id int, descr varchar(20), doc json );
create table misc_dt
(
ge geometry,
po point,
ls linestring,
py polygon
);
insert into misc_dt values
(
ST_GeomFromText('POINT(1 1)'),
ST_GeomFromText('POINT(1 1)'),
ST_GeomFromText('LINESTRING(0 0,1 1,2 2)'),
ST_GeomFromText('POLYGON((0 0,10 0,10 10,0 10,0 0),
(5 5,7 5,7 7,5 7, 5 5))')
);
insert into jtable select 1, 'geometry', cast(ge as json) from misc_dt;
insert into jtable select 2, 'point', cast(po as json) from misc_dt;
insert into jtable select 3, 'linestring', cast(ls as json) from misc_dt;
insert into jtable select 4, 'polygon', cast(py as json) from misc_dt;
#
select id, descr, json_type( doc ), doc from jtable order by id;
select json_object
(
'geometry', ST_GeomFromText('POINT(1 1)'),
'point', ST_GeomFromText('POINT(1 1)'),
'linestring', ST_GeomFromText('LINESTRING(0 0,1 1,2 2)'),
'polygon', ST_GeomFromText('POLYGON((0 0,10 0,10 10,0 10,0 0),
(5 5,7 5,7 7,5 7, 5 5))')
);
# verify the workaround for CASTing JSON values to GEOMETRY
delete from misc_dt;
select * from misc_dt;
insert into misc_dt values
(
(select ST_GeomFromGeoJSON( cast( doc as char ) ) from jtable where id = 1),
(select ST_GeomFromGeoJSON( cast( doc as char ) ) from jtable where id = 2),
(select ST_GeomFromGeoJSON( cast( doc as char ) ) from jtable where id = 3),
(select ST_GeomFromGeoJSON( cast( doc as char ) ) from jtable where id = 4)
);
select ST_AsGeoJSON( ge ),
ST_AsGeoJSON( po ),
ST_AsGeoJSON( ls ),
ST_AsGeoJSON( py )
from misc_dt;
drop table misc_dt;
drop table jtable;
create table jtable( id int, descr varchar(20), doc json );
create table misc_dt
(
ge geometrycollection,
po multipoint,
ls multilinestring,
py multipolygon
);
insert into misc_dt values
(
geometrycollection(point(1, 1), point(2, 2)),
multipoint(point(1, 1), point(2, 2)),
multilinestring
(
linestring(point(0, 0), point(1, 1), point(2, 2)),
linestring(point(0, 0), point(11, 11), point(12, 12))
),
multipolygon
(
polygon
(
linestring(point(0, 0), point(10, 0), point(10, 10), point(0, 10), point(0, 0)),
linestring(point(5, 5), point(7, 5), point(7, 7), point(5, 7), point(5, 5))
),
polygon
(
linestring(point(0, 0), point(10, 0), point(10, 10), point(0, 10), point(0, 0)),
linestring(point(5, 5), point(7, 5), point(7, 7), point(5, 7), point(5, 5))
)
)
);
insert into jtable select 1, 'geometrycollection', cast(ge as json) from misc_dt;
insert into jtable select 2, 'multipoint', cast(po as json) from misc_dt;
insert into jtable select 3, 'multilinestring', cast(ls as json) from misc_dt;
insert into jtable select 4, 'multipolygon', cast(py as json) from misc_dt;
#
select id, descr, json_type( doc ), doc from jtable order by id;
select ST_AsGeoJSON( ge ),
ST_AsGeoJSON( po ),
ST_AsGeoJSON( ls ),
ST_AsGeoJSON( py )
from misc_dt;
delete from misc_dt;
select * from misc_dt;
insert into misc_dt values
(
(select ST_GeomFromGeoJSON( cast( doc as char ) ) from jtable where id = 1),
(select ST_GeomFromGeoJSON( cast( doc as char ) ) from jtable where id = 2),
(select ST_GeomFromGeoJSON( cast( doc as char ) ) from jtable where id = 3),
(select ST_GeomFromGeoJSON( cast( doc as char ) ) from jtable where id = 4)
);
select ST_AsGeoJSON( ge ),
ST_AsGeoJSON( po ),
ST_AsGeoJSON( ls ),
ST_AsGeoJSON( py )
from misc_dt;
drop table misc_dt;
drop table jtable;
--echo # ----------------------------------------------------------------------
--echo # Test of COALESCE
--echo # ----------------------------------------------------------------------
select coalesce(cast(1 as json), cast(2 as json));
--sorted_result
select j, coalesce(j, cast(3 as json)) from t;
--sorted_result
select j, coalesce(j, 666) from t;
--sorted_result
select j, json_type(coalesce(j, '[1,2,3]')) from t;
--sorted_result
select j, json_type(coalesce(j, 'abc')) from t;
--sorted_result
select j, json_type(coalesce(j, cast('"arg2"' as json))) from t;
--sorted_result
select j, json_type(coalesce(j, j)) from t;
--echo inconsistent result: error message depends on the order of evaluation of rows
--echo --error ER_INVALID_JSON_TEXT_IN_PARAM
--echo select json_type(coalesce(json_extract(concat(j, 'abc'), '\$'), j)) from t;
--echo --error ER_INVALID_JSON_TEXT_IN_PARAM
--echo #select json_type(coalesce(t1.j, json_extract(concat(t2.j, 'abc'), '\$')))
--echo from t t1, t t2;
drop table t;
--echo # ----------------------------------------------------------------------
--echo # Auto-convert of non-utf8 returning system function
--echo # ----------------------------------------------------------------------
create table t(j json, id int);
insert into t values ('{"user": "foo"}', 8), (NULL, 8);
update t set j=json_set(j, '$.user', current_user()) where id=8;
select j from t order by j;
update t set j=json_set(j, '$.user', rtrim('foo ')) where id=8;
select j from t order by j;
update t set j=json_set(j, '$.user', hex('abc')) where id=8;
select j from t order by j;
update t set j=json_set(j, '$.user', md5('bingle')) where id=8;
select j from t order by j;
update t set j=json_set(j, '$.user', database()) where id=8;
select j from t order by j;
update t set j=json_set(j, '$.user', schema()) where id=8;
select j from t order by j;
#
# The hex of some UTF-8 from supplementary plane: U+2070E
update t set j=json_set(j, '$.user',
cast(UNHEX('F0A09C8E') as char character set 'utf8mb4')) where id=8;
set names 'utf8mb4'; # se we can see the character
select j from t order by j;
select char_length(json_extract(j, '$.user')) from t order by j;
drop table t;
--echo #
--echo # Bug#21257946 JSON_TYPE(TEXT) OF TABLE COLUMN STICKS WITH NULL
--echo # AFTER FIRST ENCOUNTER OF NULL
--echo #
CREATE TABLE T_WITH_NULLS(i INT, j JSON);
INSERT INTO T_WITH_NULLS VALUES
(0, NULL),
(1, '[1]'),
(2, NULL),
(3, '{"a":"b"}'),
(4, NULL),
(5, '"abc"');
let $query= SELECT
JSON_VALID(j),
JSON_TYPE(j),
JSON_KEYS(j),
JSON_EXTRACT(j, '\$'),
JSON_REMOVE(j, '\$.a.b.c'),
JSON_ARRAY_APPEND(j, '\$', 2),
JSON_SET(j, '\$[0]', 2),
JSON_INSERT(j, '\$[0]', 2),
JSON_REPLACE(j, '\$[0]', 2),
JSON_MERGE(j, j),
JSON_SEARCH(j, 'one', 'abc'),
JSON_CONTAINS(j, '[1]'),
JSON_CONTAINS_PATH(j, 'all', '\$.a'),
JSON_LENGTH(j),
JSON_DEPTH(j),
JSON_ARRAY(j, j),
JSON_OBJECT('k', j),
JSON_UNQUOTE(CAST(j AS CHAR)),
JSON_QUOTE(CAST(j AS CHAR)),
JSON_PRETTY(j),
JSON_STORAGE_FREE(j),
JSON_STORAGE_SIZE(j)
FROM T_WITH_NULLS
ORDER BY i;
eval $query;
# It should work the same way with a TEXT column as with a JSON column.
ALTER TABLE T_WITH_NULLS MODIFY COLUMN j TEXT;
eval $query;
DROP TABLE T_WITH_NULLS;
# Make sure that every JSON function accepts latin1 text arguments. The JSON
# functions use utf8mb4 internally, so they will need to perform charset
# conversion.
CREATE TABLE t_latin1(id INT PRIMARY KEY AUTO_INCREMENT,
json_text VARCHAR(20),
json_atom_text VARCHAR(20),
json_path VARCHAR(20))
CHARACTER SET 'latin1';
INSERT INTO t_latin1 (json_text, json_atom_text, json_path) VALUES
(CONVERT(X'5B22E6F8E5225D' USING latin1), # ["\u00e6\u00f8\u00e5"]
CONVERT(X'E5F8E6' USING latin1), # \u00e5\u00f8\u00e6
'$[0]'),
(CONVERT(X'7B22E6F8E5223A22E6F8E5227D' USING latin1),
# {"\u00e6\u00f8\u00e5":"\u00e6\u00f8\u00e5"}
CONVERT(X'E5F8E6' USING latin1), # \u00e5\u00f8\u00e6
CONVERT(X'242E22E6F8E522' USING latin1)); # $."\u00e6\u00f8\u00e5"
SELECT * FROM t_latin1 ORDER BY id;
SELECT CAST(json_text AS JSON) FROM t_latin1 ORDER BY id;
SELECT JSON_VALID(json_text) FROM t_latin1 ORDER BY id;
SELECT JSON_VALID(json_atom_text) FROM t_latin1 ORDER BY id;
SELECT JSON_TYPE(json_text) FROM t_latin1 ORDER BY id;
SELECT JSON_EXTRACT(json_text, json_path) FROM t_latin1 ORDER BY id;
SELECT JSON_REMOVE(json_text, json_path) FROM t_latin1 ORDER BY id;
SELECT JSON_ARRAY_APPEND(json_text, json_path, json_atom_text)
FROM t_latin1 ORDER BY id;
SELECT JSON_SET(json_text, json_path, json_atom_text) FROM t_latin1 ORDER BY id;
SELECT JSON_INSERT(json_text, json_path, json_atom_text)
FROM t_latin1 ORDER BY id;
SELECT JSON_REPLACE(json_text, json_path, json_atom_text)
FROM t_latin1 ORDER BY id;
SELECT JSON_MERGE(json_text, json_text) FROM t_latin1 ORDER BY id;
SELECT JSON_SEARCH(json_text, CONVERT('one' USING latin1), json_atom_text,
CONVERT(X'F8' USING latin1), json_path)
FROM t_latin1 ORDER BY id;
SELECT JSON_CONTAINS(json_text, json_text, json_path) FROM t_latin1 ORDER BY id;
SELECT JSON_CONTAINS_PATH(json_text, CONVERT('one' USING latin1), json_path)
FROM t_latin1 ORDER BY id;
SELECT JSON_LENGTH(json_text, json_path) FROM t_latin1 ORDER BY id;
SELECT JSON_DEPTH(json_text) FROM t_latin1 ORDER BY id;
SELECT JSON_ARRAY(json_atom_text, json_atom_text) FROM t_latin1 ORDER BY id;
SELECT JSON_OBJECT(json_atom_text, json_atom_text) FROM t_latin1 ORDER BY id;
SELECT JSON_UNQUOTE(json_atom_text) FROM t_latin1 ORDER BY id;
SELECT JSON_UNQUOTE(CONVERT(CONCAT('"', json_atom_text, '"') USING latin1))
FROM t_latin1 ORDER BY id;
SELECT JSON_QUOTE(json_atom_text) FROM t_latin1 ORDER BY id;
DROP TABLE t_latin1;
--echo # ----------------------------------------------------------------------
--echo # Test that boolean expressions are treated as boolean atom literals
--echo # ----------------------------------------------------------------------
create table t_bool_literals( a int, b varchar(10) );
insert into t_bool_literals values ( 1, 'food' ), ( 2, 'fool' ), ( 3, 'water' );
# expressions built out of logical connectives should evaluate to boolean literals, but they don't
select a, json_array( ((a < 3) and (a > 1)) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', ((a < 3) and (a > 1)) ) from t_bool_literals order by a;
select a, json_array( not ((a < 3) and (a > 1)) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', not ((a < 3) and (a > 1)) ) from t_bool_literals order by a;
select a, json_array( ((a < 3) or (a > 1)) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', ((a < 3) or (a > 1)) ) from t_bool_literals order by a;
select a, json_array( not ((a < 3) or (a > 1)) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', not ((a < 3) or (a > 1)) ) from t_bool_literals order by a;
select json_array( not true, not false );
select json_array_append( '[]', '$', not true, '$', not false );
select a, json_array( 1 and true ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', 1 and true ) from t_bool_literals order by a;
select a, json_array( not 1 ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', not 1 ) from t_bool_literals order by a;
# true and false literals
select json_array( true, false );
select json_array_append( '[]', '$', true, '$', false );
# comparison operators should evaluate to boolean literals
select a, json_array( (a < 3) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', (a < 3) ) from t_bool_literals order by a;
select a, json_array( (a <= 3) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', (a <= 3) ) from t_bool_literals order by a;
select a, json_array( (a > 3) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', (a > 3) ) from t_bool_literals order by a;
select a, json_array( (a >= 3) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', (a >= 3) ) from t_bool_literals order by a;
select a, json_array( (a <> 3) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', (a <> 3) ) from t_bool_literals order by a;
select a, json_array( (a != 3) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', (a != 3) ) from t_bool_literals order by a;
# IS NULL and IS NOT NULL
select a, json_array( a is null ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', a is null ) from t_bool_literals order by a;
select a, json_array( a is not null ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', a is not null ) from t_bool_literals order by a;
# IS TRUE and IS NOT TRUE
select a, json_array( a is true ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', a is true ) from t_bool_literals order by a;
select a, json_array( a is not true ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', a is not true ) from t_bool_literals order by a;
# NULLIF which coalesce booleans should evaluate to boolean literals
select a, json_array(nullif(true, false) ) from t_bool_literals order by a;
select a, json_array_append
(
'[]',
'$', nullif(true, false)
) from t_bool_literals order by a;
# would be nice if CASE coalesced a boolean type if all branches are boolean. FIXME maybe
#select a, json_array( case when (a > 1) then true else false end ) from t_bool_literals order by a;
#select a, json_array_append
#(
# '[]',
# '$', case when (a > 1) then true else false end
#) from t_bool_literals order by a;
# as a workaround, you can always AND problematic expressions with true
select a, json_array( (case when (a > 1) then true else false end) and true ) from t_bool_literals order by a;
select a, json_array_append
(
'[]',
'$', (case when (a > 1) then true else false end) and true
) from t_bool_literals order by a;
# between predicates should evaluate to boolean literals
select a, json_array( a between 2 and 4 ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', a between 2 and 4 ) from t_bool_literals order by a;
# in predicates should evaluate to boolean literals
select a, json_array( a in (1,3) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', a in (1,3) ) from t_bool_literals order by a;
# like predicates should evaluate to boolean literals
select a, json_array( b like 'foo%' ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b like 'foo%' ) from t_bool_literals order by a;
# regexp predicates should evaluate to boolean literals
select a, json_array( b REGEXP '^fo+d' ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b REGEXP '^fo+d' ) from t_bool_literals order by a;
select a, json_array( b rlike '^fo+d' ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b rlike '^fo+d' ) from t_bool_literals order by a;
select a, json_array( b not REGEXP '^fo+d' ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b not REGEXP '^fo+d' ) from t_bool_literals order by a;
select a, json_array( b not rlike '^fo+d' ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b not rlike '^fo+d' ) from t_bool_literals order by a;
# quantified comparisons should evaluate to boolean literals
select a, json_array( b = some( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b = some( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array( b = all( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b = all( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array( b = any( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b = any( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array( b > some( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b > some( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array( b > all( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b > all( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array( b > any( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b > any( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array( b < some( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b < some( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array( b < all( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b < all( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array( b < any( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b < any( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array( b <= some( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b <= some( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array( b <= all( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b <= all( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array( b <= any( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b <= any( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array( b >= some( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b >= some( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array( b >= all( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b >= all( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array( b >= any( select b from t_bool_literals ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b >= any( select b from t_bool_literals ) ) from t_bool_literals order by a;
# exists predicates should evaluate to boolean literals
select a, json_array( exists( select b from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', exists( select b from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
select a, json_array( not exists( select b from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', not exists( select b from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
# json_valid() calls should evaluate to boolean literals
select a, json_array( json_valid( b ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', json_valid( b ) ) from t_bool_literals order by a;
select a, json_array( not json_valid( b ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', not json_valid( b ) ) from t_bool_literals order by a;
# json_contains_path() calls should evaluate to boolean literals
select json_array( json_contains_path( '{ "a" : { "b" : 100 } }', 'all', '$.a.b' ) );
# gtid_subset() calls should evaluate to boolean literals
select a, json_array( gtid_subset('3E11FA47-71CA-11E1-9E33-C80AA9429562:23', '3E11FA47-71CA-11E1-9E33-C80AA9429562:21-57') )
from t_bool_literals order by a;
select a, json_array_append( '[]', '$', gtid_subset('3E11FA47-71CA-11E1-9E33-C80AA9429562:23', '3E11FA47-71CA-11E1-9E33-C80AA9429562:21-57') )
from t_bool_literals order by a;
select a, json_array( not gtid_subset('3E11FA47-71CA-11E1-9E33-C80AA9429562:23', '3E11FA47-71CA-11E1-9E33-C80AA9429562:21-57') )
from t_bool_literals order by a;
select a, json_array_append( '[]', '$', not gtid_subset('3E11FA47-71CA-11E1-9E33-C80AA9429562:23', '3E11FA47-71CA-11E1-9E33-C80AA9429562:21-57') )
from t_bool_literals order by a;
# comparisons to subqueries should evaluate to boolean literals
select a, json_array( b = ( select distinct b from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b = ( select distinct b from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
select a, json_array( b > ( select distinct b from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b > ( select distinct b from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
select a, json_array( b >= ( select distinct b from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b >= ( select distinct b from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
select a, json_array( b < ( select distinct b from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b < ( select distinct b from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
select a, json_array( b <= ( select distinct b from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
select a, json_array_append( '[]', '$', b <= ( select distinct b from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
# make sure ordinary subselects still function correctly
select a, json_array( ( select distinct a from t_bool_literals where a = 1 ) ) from t_bool_literals order by a;
drop table t_bool_literals;
--echo # ----------------------------------------------------------------------
--echo # Verify that all of the string types behave similarly when used as ANY_JSON_ATOMS
--echo # ----------------------------------------------------------------------
create table t_char( a int, b char(20) );
insert into t_char values ( 1, 'foo' );
create table t_varchar( a int, b varchar(20) );
insert into t_varchar values ( 1, 'foo' );
Create table t_tinytext( a int, b tinytext );
insert into t_tinytext values ( 1, 'foo' );
create table t_text( a int, b text );
insert into t_text values ( 1, 'foo' );
create table t_mediumtext( a int, b mediumtext );
insert into t_mediumtext values ( 1, 'foo' );
create table t_longtext( a int, b longtext );
insert into t_longtext values ( 1, 'foo' );
# treated as a string. evaluates to ["foo"]
select json_array( b ) from t_char;
select json_array( b ) from t_varchar;
select json_array( b ) from t_tinytext;
select json_array( b ) from t_text;
select json_array( b ) from t_mediumtext;
select json_array( b ) from t_longtext;
# casts to CHAR should still be strings
select json_array( cast( b as char ) ) from t_char;
select json_array( cast( b as char ) ) from t_varchar;
select json_array( cast( b as char ) ) from t_tinytext;
select json_array( cast( b as char ) ) from t_text;
select json_array( cast( b as char ) ) from t_mediumtext;
select json_array( cast( b as char ) ) from t_longtext;
# string-valued XML functions should behave as strings when used as ANY_JSON_ATOMs
select json_array( UpdateXML('<a><b>ccc</b><d></d></a>', '/a/d', '<e>fff</e>') );
select json_array( cast( UpdateXML('<a><b>ccc</b><d></d></a>', '/a/d', '<e>fff</e>') as char ) );
select json_array( ExtractValue('<r><n id="1">v1</n><n id="2">v2</n></r>','//n[@id=1]' ) );
select json_array( cast( ExtractValue('<r><n id="1">v1</n><n id="2">v2</n></r>','//n[@id=1]' ) as char ) );
drop table t_char;
drop table t_varchar;
drop table t_tinytext;
drop table t_text;
drop table t_mediumtext;
drop table t_longtext;
--echo # ----------------------------------------------------------------------
--echo # Check that JSON values stemming from views and derived tables work
--echo # ----------------------------------------------------------------------
create table t(x int);
insert into t values (NULL), (4);
select json_array(x) from (select x from t) tt order by x;
create view v as select * from t;
select json_array(x) from v order by x;
drop view v;
drop table t;
--echo # ----------------------------------------------------------------------
--echo # Ignore collation.collation when handing off val_str to a JSON field -
--echo # bug found by John E.
--echo # ----------------------------------------------------------------------
create table t3( col_json json );
insert into t3(col_json) values ( json_quote( '1' ) );
select * from t3;
select json_type(col_json) from t3;
drop table t3;
--echo # ----------------------------------------------------------------------
--echo # Correctly escape key names when pretty-printing JSON objects.
--echo # Correct behavior means that the strings can be re-used for
--echo # their original purposes as key names and paths.
--echo # ----------------------------------------------------------------------
create table jep( key_col int primary key, doc json, path varchar( 50 ) );
insert into jep values
( 1, '{ "one \\"potato": "seven" }', '$."one \\"potato"' ),
( 2, '{ "one \\npotato": "seven" }', '$."one \\npotato"' ),
( 3, '{ "one \\tpotato": "seven" }', '$."one \\tpotato"' ),
( 4, '{ "one \\bpotato": "seven" }', '$."one \\bpotato"' ),
( 5, '{ "one \\fpotato": "seven" }', '$."one \\fpotato"' ),
( 6, '{ "one \\rpotato": "seven" }', '$."one \\rpotato"' ),
( 7, '{ "one \\\\potato": "seven" }', '$."one \\\\potato"' );
insert into jep select key_col + 100, cast( doc as char ), path from jep;
select key_col, doc, json_keys( doc ) from jep order by key_col;
select key_col, doc, json_extract( doc, cast(path as char) ) from jep order by key_col;
select * from jep order by key_col;
drop table jep;
--echo # ----------------------------------------------------------------------
--echo # Test that cached, constant path objects are restored
--echo # after the leg popping which happens inside json_insert()
--echo # and json_replace().
--echo # ----------------------------------------------------------------------
create table t_cache( id int, doc json );
insert into t_cache values
( 1, '{ "a": { "b": 1 } }' ),
( 2, '{ "a": { "c": 1 } }' ),
( 3, '{ "a": { "d": 1 } }' );
select id, doc, json_insert( doc, '$.a.c', 2 ) from t_cache order by id;
select id, doc, json_insert( doc, '$.a.c', 2, '$.a.d', 3 ) from t_cache order by id;
delete from t_cache;
insert into t_cache values
( 1, '{ "a": { "b": 1, "c": 2, "d": 3 } }' ),
( 2, '{ "a": { "c": 2, "d": 3 } }' ),
( 3, '{ "a": { "b": 1, "d": 3 } }' ),
( 4, '{ "a": { "b": 1, "c": 2 } }' ),
( 5, '{ "a": { "b": 1 } }' ),
( 6, '{ "a": { "c": 2 } }' ),
( 7, '{ "a": { "d": 3 } }' ),
( 8, '{ "a": {} }' );
select id, doc, json_replace( doc, '$.a.c', 20 ) from t_cache order by id;
select id, doc, json_replace( doc, '$.a.c', 20, '$.a.d', 30 ) from t_cache order by id;
drop table t_cache;
--echo # ----------------------------------------------------------------------
--echo # Test that one_or_all arguments are cached correctly.
--echo # ----------------------------------------------------------------------
create table t_ooa( id int, doc json, one_or_all varchar(10) );
insert into t_ooa values
( 1, '{ "a": 1, "b": 2, "c": 3 }', 'one' ),
( 2, '{ "d": 4 }', 'one' ),
( 3, '{ "a": 1, "b": 2, "d": 4 }', 'all' ),
( 4, '{ "a": 1, "c": 3 }', 'all' ),
( 5, '{ "d": 4 }', 'all' ),
( 6, '{ "a": 1, "b": 2, "c": 3 }', null );
select id, doc, one_or_all, json_contains_path( doc, one_or_all, '$.a', '$.b' ) from t_ooa order by id;
select id, doc, json_contains_path( doc, 'one', '$.a', '$.b' ) from t_ooa order by id;
select id, doc, json_contains_path( doc, 'all', '$.a', '$.b' ) from t_ooa order by id;
select id, doc, json_contains_path( doc, null, '$.a', '$.b' ) from t_ooa order by id;
delete from t_ooa;
insert into t_ooa values
( 1, '{ "a": "foot", "b": "fool", "c": "food" }', 'one' ),
( 1, '{ "a": "foot", "b": "fool", "c": "food" }', 'all' ),
( 1, '{ "a": "foot", "b": "fool", "c": "food" }', null );
select id, doc, one_or_all, json_search( doc, one_or_all, 'foo%' ) from t_ooa order by id;
select id, doc, json_search( doc, 'one', 'foo%' ) from t_ooa order by id;
select id, doc, json_search( doc, 'all', 'foo%' ) from t_ooa order by id;
select id, doc, json_search( doc, null, 'foo%' ) from t_ooa order by id;
drop table t_ooa;
# This test case reproduces a problem seen during development. The update
# statement crashed if the target table was the inner table of the join.
CREATE TABLE t1(j JSON);
CREATE TABLE t2(j JSON);
INSERT INTO t1 VALUES ('[1]'), ('[2]'), ('[3]'), ('[4]');
INSERT INTO t2 VALUES ('[1]');
ANALYZE TABLE t1, t2;
let $query=
UPDATE t1, t2 SET t1.j = JSON_INSERT(t2.j, '\$[1]', t2.j) WHERE t1.j=t2.j;
eval EXPLAIN $query;
eval $query;
SELECT * FROM t1 ORDER BY (CAST(j AS CHAR));
DROP TABLE t1, t2;
--echo #
--echo # Bug#20888919: ASSERT `!THD->IS_ERROR()' FAILED IN HANDLE_QUERY()
--echo # ON EXPLAIN SELECT JSON
--echo #
create table t (pk int primary key, col_json json);
ANALYZE TABLE t;
explain SELECT col_json FROM t WHERE pk = 1;
drop table t;
--echo # ----------------------------------------------------------------------
--echo # Bug#20889248 Used to crash the server
--echo # ----------------------------------------------------------------------
create table tt(i int, j json, si int);
select count(*) , json_keys('{"key17": {"a": {"b": "c"}}, "key88": "value94"}');
# Tests Item_copy_json::save_in_field. int target column here gets assigned via
# JSON->string->int parse since Field_long::store doesn't have an overload for
# JSON. Similar for other non-JSON target columns. The JSON column assignment
# does not go via string, since Field_json knows how to store JSON.
insert into tt(i, j)
select count(*), json_extract('{"key17": {"a": {"b": "c"}}, "key88": 100}',
'$.key88');
insert into tt(i, si)
select count(*), json_extract('{"key17": {"a": {"b": "c"}}, "key88": 100}',
'$.key88');
select * from tt order by i;
# This exercises Item_copy_json::val_real
delete from tt;
insert into tt(j) values (cast(1 as json)), (null);
select sum( distinct j ) from tt group by j having j in ( avg( 1 ), 1 + j);
# Exercise Item_copy_json::val_json
SELECT JSON_ARRAY(j), COUNT(*) FROM tt GROUP BY j, i WITH ROLLUP;
# Exercise Item_copy_json::val_int
SELECT REPEAT('abc', j), COUNT(*) FROM tt GROUP BY j, i WITH ROLLUP;
# Exercise Item_copy_json::val_str
SELECT REPEAT(j, 2), COUNT(*) FROM tt GROUP BY j, i WITH ROLLUP;
# Exercise Item_copy_json::val_decimal
SELECT CAST(j AS DECIMAL(5,2)), COUNT(*) FROM tt GROUP BY j, i WITH ROLLUP;
# Exercise Item_copy_json::get_time
UPDATE tt SET j = CAST(CAST('12:13:14' AS TIME) AS JSON) WHERE j IS NOT NULL;
SELECT CAST(j AS TIME), COUNT(*) FROM tt GROUP BY j, i WITH ROLLUP;
# Exercise Item_copy_json::get_date
SELECT CAST(j AS DATE) = CURRENT_DATE, COUNT(*) FROM tt
GROUP BY j, i WITH ROLLUP;
UPDATE tt SET j = CAST(CAST('2015-06-19' AS DATE) AS JSON) WHERE j IS NOT NULL;
SELECT CAST(j AS DATE), COUNT(*) FROM tt GROUP BY j, i WITH ROLLUP;
# Exercise an error path through Item_copy_json::val_str
DELETE FROM tt;
INSERT INTO tt(j) VALUES (JSON_ARRAY(REPEAT('abc', 100)));
UPDATE tt SET j = JSON_ARRAY(j,j,j,j);
SET GLOBAL net_buffer_length = 1024;
SET GLOBAL max_allowed_packet = 1024;
CONNECT (con1,localhost,root,,);
CONNECTION con1;
SELECT REPEAT(j, 2), COUNT(*) FROM tt GROUP BY j, i WITH ROLLUP;
CONNECTION default;
DISCONNECT con1;
SET GLOBAL max_allowed_packet = default;
SET GLOBAL net_buffer_length = default;
DROP TABLE tt;
--echo # ----------------------------------------------------------------------
--echo # Bug#20914054 Used to crash the server
--echo # ----------------------------------------------------------------------
CREATE TABLE t1 (
pk INT NOT NULL,
col_int_key INT,
col_json json,
PRIMARY KEY (pk),
KEY col_int_key (col_int_key)
);
INSERT INTO t1 VALUES (8, 4, '{}');
CREATE TABLE t2 (
pk INT NOT NULL,
PRIMARY KEY (pk)
);
INSERT INTO t2 VALUES (20);
SELECT MIN(JSON_KEYS( t1.col_json )) AS field1
FROM t1 JOIN t2
HAVING field1 = 7;
drop table t1;
drop table t2;
--echo # ----------------------------------------------------------------------
--echo # Bug#20920788 Used to give SQL state 22032: Cannot create a JSON value
--echo # from a string with CHARACTER SET 'binary'.
--echo #----------------------------------------------------------------------
CREATE TABLE t (
col_json JSON,
col_varchar VARCHAR(1),
col_varchar_key VARCHAR(1),
KEY col_varchar_key (col_varchar_key)
);
INSERT INTO t VALUES ('{}', 'a', 'a');
--echo # This always succeeded, group by column is indexed, optimizer does not
--echo # use filesort:
SELECT MAX(col_json) AS field1, col_varchar_key AS field2 FROM t GROUP BY field2;
--echo # This used to fail, group by column is not indexed, EXPLAIN says
--echo # filesort is used:
SELECT MAX(col_json) AS field1, col_varchar AS field2 FROM t GROUP BY field2;
drop table t;
--echo # ----------------------------------------------------------------------
--echo # Bug#20962317 WARNING 3150 'INVALID JSON VALUE FOR CAST TO INTEGER' ON
--echo # SUBQUERY IN JSON_VALID
--echo #----------------------------------------------------------------------
create table myt(col_json json);
insert into myt values ('{}');
--echo # This statement used to give two wrong warnings
select json_valid((select col_json from myt));
drop table myt;
--echo # ----------------------------------------------------------------------
--echo # Bug#20954309 JSON_SEARCH() IN VIEWS DOES NOT WORK, ALWAYS RETURNS NULL
--echo #----------------------------------------------------------------------
CREATE TABLE t_20954309 (id int, col_json JSON);
INSERT INTO t_20954309 VALUES
(2, '{"keyA": "eleven"}');
CREATE VIEW v1_20954309 AS SELECT id, JSON_SEARCH(col_json, 'one', 'ele%' ) FROM t_20954309;
CREATE VIEW v2_20954309 AS SELECT id, col_json FROM t_20954309;
SELECT id, JSON_SEARCH(col_json, 'one', 'ele%' ) from t_20954309 order by id;
SELECT id, JSON_SEARCH(col_json, 'one', 'eleven' ) from v2_20954309 order by id;
SELECT * FROM v1_20954309 order by id;
drop view v1_20954309;
drop view v2_20954309;
drop table t_20954309;
#
# Arguments vary from row to row.
#
create table t_20954309 (id int, doc JSON, search_string varchar(20), escape_char varchar(10) );
insert into t_20954309 values
(1, '{"match11": "eleven", "match12": "element", "notMatch": "elven" }', 'ele%', null ),
(2, '{"match21": "eleven", "match22": "element", "notMatch": "elven" }', 'ele%', 'z' ),
(3, '{"match31": "tw%elve", "match32": "tw%ilight", "notMatch": "twitter" }', 'tw|%%', '|' );
select id, json_search( doc, 'all', search_string, '|' ) from t_20954309 order by id;
create view v_20954309 as select id, json_search( doc, 'all', search_string, '|' ) from t_20954309 order by id;
select * from v_20954309;
select id, json_search( doc, 'all', search_string, null ) from t_20954309 where id < 3 order by id;
create view v2_20954309 as select id, json_search( doc, 'all', search_string, null ) result from t_20954309 where id < 3 order by id;
select * from v2_20954309;
drop view v_20954309;
drop view v2_20954309;
drop table t_20954309;
create table t_doc (id int, doc JSON );
insert into t_doc values
(1, '{"match11": "eleven", "match12": "element", "notMatch": "elven" }' ),
(2, '{"match21": "eleven", "match22": "element", "notMatch": "elven" }' ),
(3, '{"match31": "tw%elve", "match32": "tw%ilight", "notMatch": "twitter" }' );
create table t_search_string (id int, search_string varchar(20) );
insert into t_search_string values
(1, 'ele%' ),
(2, 'ele%' ),
(3, 'tw|%%' );
select t.id, json_search( doc, 'all', (select search_string from t_search_string s where s.id = t.id), '|' )
from t_doc t order by id;
create view v_doc as
select t.id, json_search( doc, 'all', (select search_string from t_search_string s where s.id = t.id), '|' )
from t_doc t order by id;
select * from v_doc;
drop view v_doc;
drop table t_doc;
drop table t_search_string;
set names default;
-- echo #
-- echo # Bug#20972793 ASSERT FIELD_TYPE() == MYSQL_TYPE_JSON...
-- echo # IN ARG_COMPARATOR::COMPARE_JSON
-- echo #
CREATE TABLE t1 (
pk INT NOT NULL,
col_int_key INT,
col_int INT,
col_json JSON,
PRIMARY KEY (pk),
KEY col_int_key (col_int_key)
);
INSERT INTO t1 VALUES (2,4,2,NULL);
CREATE TABLE t2 (
pk INT NOT NULL,
col_int_key INT,
PRIMARY KEY (pk),
KEY col_int_key (col_int_key)
);
SELECT
(SELECT MAX(sq1_alias1.pk) AS sq1_field1
FROM (t1 AS sq1_alias1
INNER JOIN t2 AS sq1_alias2
ON (sq1_alias2.col_int_key = sq1_alias1.col_int_key)
)
WHERE sq1_alias2.pk <= alias1.col_int
) AS field1,
MAX(alias1.col_json) AS field2
FROM (
SELECT sq2_alias1.*
FROM t1 AS sq2_alias1
) AS alias1
GROUP BY field1
HAVING field2 > 1;
DROP TABLE t1, t2;
--echo # ----------------------------------------------------------------------
--echo # Bug#20987329 VALUE OF PREPARED STATEMENT PLACEHOLDER FOR PARAMETER
--echo # IN JSON_EXTRACT IS STICKY
--echo #----------------------------------------------------------------------
# should get different results with different parameter values
# json_extract()
CREATE TABLE t_reuse (pk INT, col_json JSON);
INSERT INTO t_reuse VALUES (1, '{"keyA": 1}'), (2, '{"keyA": 2, "keyB": 22}');
PREPARE getjson FROM 'SELECT JSON_EXTRACT(col_json, ?) FROM t_reuse order by pk';
SET @mypath = '$.keyA';
EXECUTE getjson USING @mypath;
SET @mypath = '$.keyB';
EXECUTE getjson USING @mypath;
drop table t_reuse;
--echo #
--echo # Test that max_allowed_packet is respected.
--echo #
SET GLOBAL net_buffer_length = 1024;
SET GLOBAL max_allowed_packet = 1024;
CONNECT (con1,localhost,root,,);
CONNECTION con1;
CREATE TABLE t1(j JSON);
INSERT INTO t1 VALUES (JSON_ARRAY(REPEAT('abc', 100)));
SELECT JSON_ARRAY(j, j, j, j) FROM t1;
--error ER_WARN_ALLOWED_PACKET_OVERFLOWED
UPDATE t1 SET j = JSON_ARRAY(j, j, j, j);
CREATE TABLE t2(s TEXT);
--error ER_WARN_ALLOWED_PACKET_OVERFLOWED
INSERT INTO t2 SELECT JSON_ARRAY(j, j, j, j) FROM t1;
SELECT * FROM t2;
INSERT INTO t2 SELECT * FROM t1;
--error ER_WARN_ALLOWED_PACKET_OVERFLOWED
UPDATE t2 SET s = JSON_ARRAY(s, s, s, s);
DROP TABLE t1, t2;
CONNECTION default;
DISCONNECT con1;
SET GLOBAL max_allowed_packet = default;
SET GLOBAL net_buffer_length = default;
--echo #
--echo # Test that very deep documents are rejected.
--echo #
# Currently, the maximum accepted depth is 100. Make some documents that are
# nested to that exact depth.
CREATE TABLE t(jarray JSON, jobject JSON, jmix JSON) ROW_FORMAT=DYNAMIC;
INSERT INTO t VALUES ('1', '1', '1');
let $depth=1;
while ($depth < 100)
{
eval UPDATE t SET jarray = JSON_ARRAY(jarray),
jobject = JSON_OBJECT('a', jobject),
jmix = CASE WHEN MOD($depth, 2) = 0
THEN JSON_ARRAY(jmix)
ELSE JSON_OBJECT('a', jmix)
END;
inc $depth;
}