| Current Path : /usr/opt/mysql57/mysql-test/r/ |
FreeBSD hs32.drive.ne.jp 9.1-RELEASE FreeBSD 9.1-RELEASE #1: Wed Jan 14 12:18:08 JST 2015 root@hs32.drive.ne.jp:/sys/amd64/compile/hs32 amd64 |
| Current File : //usr/opt/mysql57/mysql-test/r/opt_costmodel.result |
#
# Bug#20443863 USE OF WORST_SEEKS IN FIND_BEST_REF() CAN LEAD TO
# WRONG QUERY PLAN
#
CREATE TABLE t1 (
i1 INTEGER,
i2 INTEGER,
i3 INTEGER,
KEY(i1,i2)
) ENGINE=InnoDB;
INSERT INTO t1 VALUES (1, 1, 1), (1, 1, 1),(1, 1, 1),(1, 1, 1),
(2, 2, 1), (2, 2, 1),(2, 2, 1),(2, 2, 1),
(3, 3, 1), (3, 3, 1),(3, 3, 1),(3, 3, 1);
EXPLAIN FORMAT=JSON SELECT i3 FROM t1 WHERE i1 = 1 AND i2 = 1;
EXPLAIN
{
"query_block": {
"select_id": 1,
"cost_info": {
"query_cost": "2.80"
},
"table": {
"table_name": "t1",
"access_type": "ref",
"possible_keys": [
"i1"
],
"key": "i1",
"used_key_parts": [
"i1",
"i2"
],
"key_length": "10",
"ref": [
"const",
"const"
],
"rows_examined_per_scan": 4,
"rows_produced_per_join": 4,
"filtered": "100.00",
"cost_info": {
"read_cost": "2.00",
"eval_cost": "0.80",
"prefix_cost": "2.80",
"data_read_per_join": "64"
},
"used_columns": [
"i1",
"i2",
"i3"
]
}
}
}
Warnings:
Note 1003 /* select#1 */ select `test`.`t1`.`i3` AS `i3` from `test`.`t1` where ((`test`.`t1`.`i2` = 1) and (`test`.`t1`.`i1` = 1))
EXPLAIN FORMAT=JSON SELECT i3 FROM t1 WHERE i1 = 1 AND i3 = 1;
EXPLAIN
{
"query_block": {
"select_id": 1,
"cost_info": {
"query_cost": "2.80"
},
"table": {
"table_name": "t1",
"access_type": "ref",
"possible_keys": [
"i1"
],
"key": "i1",
"used_key_parts": [
"i1"
],
"key_length": "5",
"ref": [
"const"
],
"rows_examined_per_scan": 4,
"rows_produced_per_join": 0,
"filtered": "10.00",
"cost_info": {
"read_cost": "2.00",
"eval_cost": "0.08",
"prefix_cost": "2.80",
"data_read_per_join": "6"
},
"used_columns": [
"i1",
"i3"
],
"attached_condition": "(`test`.`t1`.`i3` = 1)"
}
}
}
Warnings:
Note 1003 /* select#1 */ select `test`.`t1`.`i3` AS `i3` from `test`.`t1` where ((`test`.`t1`.`i3` = 1) and (`test`.`t1`.`i1` = 1))
UPDATE mysql.server_cost
SET cost_value=0.2
WHERE cost_name="row_evaluate_cost";
UPDATE mysql.server_cost
SET cost_value=0.1
WHERE cost_name="key_compare_cost";
UPDATE mysql.server_cost
SET cost_value=2.0
WHERE cost_name="memory_temptable_create_cost";
UPDATE mysql.server_cost
SET cost_value=0.2
WHERE cost_name="memory_temptable_row_cost";
UPDATE mysql.server_cost
SET cost_value=40
WHERE cost_name="disk_temptable_create_cost";
UPDATE mysql.server_cost
SET cost_value=1.0
WHERE cost_name="disk_temptable_row_cost";
UPDATE mysql.engine_cost
SET cost_value=1.0
WHERE cost_name="memory_block_read_cost";
UPDATE mysql.engine_cost
SET cost_value=1.0
WHERE cost_name="io_block_read_cost";
UPDATE mysql.server_cost
SET cost_value = 2 * cost_value;
UPDATE mysql.engine_cost
SET cost_value = 2 * cost_value;
SELECT cost_name, cost_value FROM mysql.server_cost;
cost_name cost_value
disk_temptable_create_cost 80
disk_temptable_row_cost 2
key_compare_cost 0.2
memory_temptable_create_cost 4
memory_temptable_row_cost 0.4
row_evaluate_cost 0.4
SELECT cost_name, cost_value FROM mysql.engine_cost;
cost_name cost_value
io_block_read_cost 2
memory_block_read_cost 2
FLUSH OPTIMIZER_COSTS;
EXPLAIN FORMAT=JSON SELECT i3 FROM t1 WHERE i1 = 1 AND i2 = 1;
EXPLAIN
{
"query_block": {
"select_id": 1,
"cost_info": {
"query_cost": "5.60"
},
"table": {
"table_name": "t1",
"access_type": "ref",
"possible_keys": [
"i1"
],
"key": "i1",
"used_key_parts": [
"i1",
"i2"
],
"key_length": "10",
"ref": [
"const",
"const"
],
"rows_examined_per_scan": 4,
"rows_produced_per_join": 4,
"filtered": "100.00",
"cost_info": {
"read_cost": "4.00",
"eval_cost": "1.60",
"prefix_cost": "5.60",
"data_read_per_join": "64"
},
"used_columns": [
"i1",
"i2",
"i3"
]
}
}
}
Warnings:
Note 1003 /* select#1 */ select `test`.`t1`.`i3` AS `i3` from `test`.`t1` where ((`test`.`t1`.`i2` = 1) and (`test`.`t1`.`i1` = 1))
EXPLAIN FORMAT=JSON SELECT i3 FROM t1 WHERE i1 = 1 AND i3 = 1;
EXPLAIN
{
"query_block": {
"select_id": 1,
"cost_info": {
"query_cost": "5.60"
},
"table": {
"table_name": "t1",
"access_type": "ref",
"possible_keys": [
"i1"
],
"key": "i1",
"used_key_parts": [
"i1"
],
"key_length": "5",
"ref": [
"const"
],
"rows_examined_per_scan": 4,
"rows_produced_per_join": 0,
"filtered": "10.00",
"cost_info": {
"read_cost": "4.00",
"eval_cost": "0.16",
"prefix_cost": "5.60",
"data_read_per_join": "6"
},
"used_columns": [
"i1",
"i3"
],
"attached_condition": "(`test`.`t1`.`i3` = 1)"
}
}
}
Warnings:
Note 1003 /* select#1 */ select `test`.`t1`.`i3` AS `i3` from `test`.`t1` where ((`test`.`t1`.`i3` = 1) and (`test`.`t1`.`i1` = 1))
UPDATE mysql.server_cost
SET cost_value=DEFAULT;
UPDATE mysql.engine_cost
SET cost_value=DEFAULT;
FLUSH OPTIMIZER_COSTS;
DROP TABLE t1;
#
# Bug#20947871 INDEX SCAN COST IN TEST_IF_CHEAPER_ORDERING() DOES
# NOT USE COST CONSTANTS
#
CREATE TABLE t1 (
pk INTEGER PRIMARY KEY,
a INTEGER,
b INTEGER,
c CHAR(255),
UNIQUE KEY k1 (a)
);
INSERT INTO t1 VALUES (1, 1, NULL, "Abc"), (2, 2, NULL, "Abc"),
(3, 3, NULL, "Abc"), (4, 4, NULL, "Abc");
INSERT INTO t1 SELECT a + 4, a + 4, b, c FROM t1;
INSERT INTO t1 SELECT a + 8, a + 8, b, c FROM t1;
INSERT INTO t1 SELECT a + 16, a + 16, b, c FROM t1;
INSERT INTO t1 SELECT a + 32, a + 32, b, c FROM t1;
INSERT INTO t1 SELECT a + 64, a + 64, b, c FROM t1;
INSERT INTO t1 SELECT a + 128, a + 128, b, c FROM t1;
CREATE TABLE t2 (
d INTEGER PRIMARY KEY,
e INTEGER
);
INSERT INTO t2 SELECT a, b FROM t1;
# Query should be optimized for the LIMIT. Query plan should
# use index without filesort
EXPLAIN FORMAT=JSON SELECT * FROM t1 JOIN t2 ON b=d ORDER BY a LIMIT 4;
EXPLAIN
{
"query_block": {
"select_id": 1,
"cost_info": {
"query_cost": "365.40"
},
"ordering_operation": {
"using_filesort": false,
"nested_loop": [
{
"table": {
"table_name": "t1",
"access_type": "index",
"key": "k1",
"used_key_parts": [
"a"
],
"key_length": "5",
"rows_examined_per_scan": 4,
"rows_produced_per_join": 256,
"filtered": "100.00",
"cost_info": {
"read_cost": "7.00",
"eval_cost": "51.20",
"prefix_cost": "58.20",
"data_read_per_join": "68K"
},
"used_columns": [
"pk",
"a",
"b",
"c"
],
"attached_condition": "(`test`.`t1`.`b` is not null)"
}
},
{
"table": {
"table_name": "t2",
"access_type": "eq_ref",
"possible_keys": [
"PRIMARY"
],
"key": "PRIMARY",
"used_key_parts": [
"d"
],
"key_length": "4",
"ref": [
"test.t1.b"
],
"rows_examined_per_scan": 1,
"rows_produced_per_join": 256,
"filtered": "100.00",
"cost_info": {
"read_cost": "256.00",
"eval_cost": "51.20",
"prefix_cost": "365.40",
"data_read_per_join": "4K"
},
"used_columns": [
"d",
"e"
]
}
}
]
}
}
}
Warnings:
Note 1003 /* select#1 */ select `test`.`t1`.`pk` AS `pk`,`test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b`,`test`.`t1`.`c` AS `c`,`test`.`t2`.`d` AS `d`,`test`.`t2`.`e` AS `e` from `test`.`t1` join `test`.`t2` where (`test`.`t2`.`d` = `test`.`t1`.`b`) order by `test`.`t1`.`a` limit 4
UPDATE mysql.server_cost
SET cost_value=0.2
WHERE cost_name="row_evaluate_cost";
UPDATE mysql.server_cost
SET cost_value=0.1
WHERE cost_name="key_compare_cost";
UPDATE mysql.server_cost
SET cost_value=2.0
WHERE cost_name="memory_temptable_create_cost";
UPDATE mysql.server_cost
SET cost_value=0.2
WHERE cost_name="memory_temptable_row_cost";
UPDATE mysql.server_cost
SET cost_value=40
WHERE cost_name="disk_temptable_create_cost";
UPDATE mysql.server_cost
SET cost_value=1.0
WHERE cost_name="disk_temptable_row_cost";
UPDATE mysql.engine_cost
SET cost_value=1.0
WHERE cost_name="memory_block_read_cost";
UPDATE mysql.engine_cost
SET cost_value=1.0
WHERE cost_name="io_block_read_cost";
UPDATE mysql.server_cost
SET cost_value = 0.5 * cost_value;
UPDATE mysql.engine_cost
SET cost_value = 0.5 * cost_value;
SELECT cost_name, cost_value FROM mysql.server_cost;
cost_name cost_value
disk_temptable_create_cost 20
disk_temptable_row_cost 0.5
key_compare_cost 0.05
memory_temptable_create_cost 1
memory_temptable_row_cost 0.1
row_evaluate_cost 0.1
SELECT cost_name, cost_value FROM mysql.engine_cost;
cost_name cost_value
io_block_read_cost 0.5
memory_block_read_cost 0.5
FLUSH OPTIMIZER_COSTS;
# This should be optimized for the LIMIT. Query plan should
# use index without filesort
EXPLAIN FORMAT=JSON SELECT * FROM t1 JOIN t2 ON b=d ORDER BY a LIMIT 4;
EXPLAIN
{
"query_block": {
"select_id": 1,
"cost_info": {
"query_cost": "182.70"
},
"ordering_operation": {
"using_filesort": false,
"nested_loop": [
{
"table": {
"table_name": "t1",
"access_type": "index",
"key": "k1",
"used_key_parts": [
"a"
],
"key_length": "5",
"rows_examined_per_scan": 4,
"rows_produced_per_join": 256,
"filtered": "100.00",
"cost_info": {
"read_cost": "3.50",
"eval_cost": "25.60",
"prefix_cost": "29.10",
"data_read_per_join": "68K"
},
"used_columns": [
"pk",
"a",
"b",
"c"
],
"attached_condition": "(`test`.`t1`.`b` is not null)"
}
},
{
"table": {
"table_name": "t2",
"access_type": "eq_ref",
"possible_keys": [
"PRIMARY"
],
"key": "PRIMARY",
"used_key_parts": [
"d"
],
"key_length": "4",
"ref": [
"test.t1.b"
],
"rows_examined_per_scan": 1,
"rows_produced_per_join": 256,
"filtered": "100.00",
"cost_info": {
"read_cost": "128.00",
"eval_cost": "25.60",
"prefix_cost": "182.70",
"data_read_per_join": "4K"
},
"used_columns": [
"d",
"e"
]
}
}
]
}
}
}
Warnings:
Note 1003 /* select#1 */ select `test`.`t1`.`pk` AS `pk`,`test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b`,`test`.`t1`.`c` AS `c`,`test`.`t2`.`d` AS `d`,`test`.`t2`.`e` AS `e` from `test`.`t1` join `test`.`t2` where (`test`.`t2`.`d` = `test`.`t1`.`b`) order by `test`.`t1`.`a` limit 4
UPDATE mysql.server_cost
SET cost_value=DEFAULT;
UPDATE mysql.engine_cost
SET cost_value=DEFAULT;
FLUSH OPTIMIZER_COSTS;
DROP TABLE t1, t2;