Mysql 8.0:Innodb index performance loss until server is dead. Performance perfect after index is re-created?
Important Update
Spent 15 hours on this problem, rebuilt and changed indexes and the table many times.
Finally I can say that it's NOT a "virtual column" problem, it's an Innodb Indexing issue.
The "query cost" increases by about 10,000 (which is a LOT) every hour of using the index.
When rebuilding the index (drop, create) the query cost is back 1.1.
So based on the analyzer performance gets 50,000 times slower in half a day;)
This happens because of INSERTS and UPDATES on the table, it seems the index is increasingly corrupted somehow, about half of the inserted rows seem not to update inside the index.
Simplified table:
CREATE TABLE `users`
(
`id` int(11) NOT NULL AUTO_INCREMENT,
`first_name` varchar(64) COLLATE utf8_bin DEFAULT NULL,
`last_name` varchar(64) COLLATE utf8_bin DEFAULT NULL,
`d_table_id` int(11) DEFAULT NULL,
`last_code` smallint(6) DEFAULT NULL,
`date_created` datetime NOT NULL,
`date_assigned` datetime DEFAULT NULL,
`date_finished` datetime DEFAULT NULL,
`virt_ready_for_assign` tinyint(1) GENERATED ALWAYS AS ((isnull(`date_assigned`) and isnull(`date_finished`) and (`d_table_id` > 0))) VIRTUAL,
PRIMARY KEY (`id`),
KEY `date_assigned` (`date_assigned`),
KEY `d_table_id` (`d_table_id`),
KEY `d_table_id_date_assigned` (`d_table_id`, `date_assigned`),
KEY `date_assigned_date_finished` (`date_assigned`, `date_finished`),
KEY `virt_ready_for_assign` (`virt_ready_for_assign` DESC)
) ENGINE = InnoDB
AUTO_INCREMENT = 76124573
DEFAULT CHARSET = utf8
COLLATE = utf8_bin
EXPLAIN:
"explain select count(*) from users where virt_ready_for_assign=1"
id select_type table partitions type possible_keys key key_len ref rows filtered Extra
1 SIMPLE users NULL ref virt_ready_for_assign virt_ready_for_assign 2 const 696608 100.00 Using index
The problem: The table has 76 million entries and 20 (!!!) of them have virt_ready_for_assign = 1, 99% have virt_ready_for_assign = 0
Why does it show 696608 ?
This query is being executed a lot and sometimes stalls for seconds, but it should be lightning fast..
The reason for the virtual column was to make this query as fast as possible to dedicate a perfect index to it without wasting disk space (or having to rebuild).
It works perfectly after creating the index and after a day with some million of inserts it gets bad and shows a wrong number in explain.
The actual query used is one of those:
"explain select id from users where virt_ready_for_assign=1 FOR UPDATE"
"explain select id from users where virt_ready_for_assign=1 FOR UPDATE SKIP LOCKED"
P.S. I did try run ANALYZE table, it didn't help. Only removing the index and re-creating it will help. But that's not a solution.
Update: JSON explain:
explain format=json select count(*) from users where virt_ready_for_assign=1
{
"query_block": {
"select_id": 1,
"cost_info": {
"query_cost": "77786.30"
},
"table": {
"table_name": "users",
"access_type": "ref",
"possible_keys": [
"virt_ready_for_assign"
],
"key": "virt_ready_for_assign",
"used_key_parts": [
"virt_ready_for_assign"
],
"key_length": "2",
"ref": [
"const"
],
"rows_examined_per_scan": 772200,
"rows_produced_per_join": 772200,
"filtered": "100.00",
"using_index": true,
"cost_info": {
"read_cost": "566.30",
"eval_cost": "77220.00",
"prefix_cost": "77786.30",
"data_read_per_join": "1G"
},
"used_columns": [
"d_table_id",
"date_assigned",
"date_finished",
"virt_ready_for_assign"
]
}
}
}
The above explain SQL will yield to count(*) = 0
Not one row currently found
Proof of the bug from my point of view:
I created a second identical index and made queries to the table with both indexes, it reproduceable shows a significant time difference in execution.
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign_2) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 241 |
+----------+
1 row in set (0.02 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 300 |
+----------+
1 row in set (0.14 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign_2) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 751 |
+----------+
1 row in set (0.01 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 745 |
+----------+
1 row in set (0.08 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign_2) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 42 |
+----------+
1 row in set (0.01 sec)
mysql innodb mysql-8.0
add a comment |
Important Update
Spent 15 hours on this problem, rebuilt and changed indexes and the table many times.
Finally I can say that it's NOT a "virtual column" problem, it's an Innodb Indexing issue.
The "query cost" increases by about 10,000 (which is a LOT) every hour of using the index.
When rebuilding the index (drop, create) the query cost is back 1.1.
So based on the analyzer performance gets 50,000 times slower in half a day;)
This happens because of INSERTS and UPDATES on the table, it seems the index is increasingly corrupted somehow, about half of the inserted rows seem not to update inside the index.
Simplified table:
CREATE TABLE `users`
(
`id` int(11) NOT NULL AUTO_INCREMENT,
`first_name` varchar(64) COLLATE utf8_bin DEFAULT NULL,
`last_name` varchar(64) COLLATE utf8_bin DEFAULT NULL,
`d_table_id` int(11) DEFAULT NULL,
`last_code` smallint(6) DEFAULT NULL,
`date_created` datetime NOT NULL,
`date_assigned` datetime DEFAULT NULL,
`date_finished` datetime DEFAULT NULL,
`virt_ready_for_assign` tinyint(1) GENERATED ALWAYS AS ((isnull(`date_assigned`) and isnull(`date_finished`) and (`d_table_id` > 0))) VIRTUAL,
PRIMARY KEY (`id`),
KEY `date_assigned` (`date_assigned`),
KEY `d_table_id` (`d_table_id`),
KEY `d_table_id_date_assigned` (`d_table_id`, `date_assigned`),
KEY `date_assigned_date_finished` (`date_assigned`, `date_finished`),
KEY `virt_ready_for_assign` (`virt_ready_for_assign` DESC)
) ENGINE = InnoDB
AUTO_INCREMENT = 76124573
DEFAULT CHARSET = utf8
COLLATE = utf8_bin
EXPLAIN:
"explain select count(*) from users where virt_ready_for_assign=1"
id select_type table partitions type possible_keys key key_len ref rows filtered Extra
1 SIMPLE users NULL ref virt_ready_for_assign virt_ready_for_assign 2 const 696608 100.00 Using index
The problem: The table has 76 million entries and 20 (!!!) of them have virt_ready_for_assign = 1, 99% have virt_ready_for_assign = 0
Why does it show 696608 ?
This query is being executed a lot and sometimes stalls for seconds, but it should be lightning fast..
The reason for the virtual column was to make this query as fast as possible to dedicate a perfect index to it without wasting disk space (or having to rebuild).
It works perfectly after creating the index and after a day with some million of inserts it gets bad and shows a wrong number in explain.
The actual query used is one of those:
"explain select id from users where virt_ready_for_assign=1 FOR UPDATE"
"explain select id from users where virt_ready_for_assign=1 FOR UPDATE SKIP LOCKED"
P.S. I did try run ANALYZE table, it didn't help. Only removing the index and re-creating it will help. But that's not a solution.
Update: JSON explain:
explain format=json select count(*) from users where virt_ready_for_assign=1
{
"query_block": {
"select_id": 1,
"cost_info": {
"query_cost": "77786.30"
},
"table": {
"table_name": "users",
"access_type": "ref",
"possible_keys": [
"virt_ready_for_assign"
],
"key": "virt_ready_for_assign",
"used_key_parts": [
"virt_ready_for_assign"
],
"key_length": "2",
"ref": [
"const"
],
"rows_examined_per_scan": 772200,
"rows_produced_per_join": 772200,
"filtered": "100.00",
"using_index": true,
"cost_info": {
"read_cost": "566.30",
"eval_cost": "77220.00",
"prefix_cost": "77786.30",
"data_read_per_join": "1G"
},
"used_columns": [
"d_table_id",
"date_assigned",
"date_finished",
"virt_ready_for_assign"
]
}
}
}
The above explain SQL will yield to count(*) = 0
Not one row currently found
Proof of the bug from my point of view:
I created a second identical index and made queries to the table with both indexes, it reproduceable shows a significant time difference in execution.
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign_2) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 241 |
+----------+
1 row in set (0.02 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 300 |
+----------+
1 row in set (0.14 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign_2) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 751 |
+----------+
1 row in set (0.01 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 745 |
+----------+
1 row in set (0.08 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign_2) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 42 |
+----------+
1 row in set (0.01 sec)
mysql innodb mysql-8.0
add a comment |
Important Update
Spent 15 hours on this problem, rebuilt and changed indexes and the table many times.
Finally I can say that it's NOT a "virtual column" problem, it's an Innodb Indexing issue.
The "query cost" increases by about 10,000 (which is a LOT) every hour of using the index.
When rebuilding the index (drop, create) the query cost is back 1.1.
So based on the analyzer performance gets 50,000 times slower in half a day;)
This happens because of INSERTS and UPDATES on the table, it seems the index is increasingly corrupted somehow, about half of the inserted rows seem not to update inside the index.
Simplified table:
CREATE TABLE `users`
(
`id` int(11) NOT NULL AUTO_INCREMENT,
`first_name` varchar(64) COLLATE utf8_bin DEFAULT NULL,
`last_name` varchar(64) COLLATE utf8_bin DEFAULT NULL,
`d_table_id` int(11) DEFAULT NULL,
`last_code` smallint(6) DEFAULT NULL,
`date_created` datetime NOT NULL,
`date_assigned` datetime DEFAULT NULL,
`date_finished` datetime DEFAULT NULL,
`virt_ready_for_assign` tinyint(1) GENERATED ALWAYS AS ((isnull(`date_assigned`) and isnull(`date_finished`) and (`d_table_id` > 0))) VIRTUAL,
PRIMARY KEY (`id`),
KEY `date_assigned` (`date_assigned`),
KEY `d_table_id` (`d_table_id`),
KEY `d_table_id_date_assigned` (`d_table_id`, `date_assigned`),
KEY `date_assigned_date_finished` (`date_assigned`, `date_finished`),
KEY `virt_ready_for_assign` (`virt_ready_for_assign` DESC)
) ENGINE = InnoDB
AUTO_INCREMENT = 76124573
DEFAULT CHARSET = utf8
COLLATE = utf8_bin
EXPLAIN:
"explain select count(*) from users where virt_ready_for_assign=1"
id select_type table partitions type possible_keys key key_len ref rows filtered Extra
1 SIMPLE users NULL ref virt_ready_for_assign virt_ready_for_assign 2 const 696608 100.00 Using index
The problem: The table has 76 million entries and 20 (!!!) of them have virt_ready_for_assign = 1, 99% have virt_ready_for_assign = 0
Why does it show 696608 ?
This query is being executed a lot and sometimes stalls for seconds, but it should be lightning fast..
The reason for the virtual column was to make this query as fast as possible to dedicate a perfect index to it without wasting disk space (or having to rebuild).
It works perfectly after creating the index and after a day with some million of inserts it gets bad and shows a wrong number in explain.
The actual query used is one of those:
"explain select id from users where virt_ready_for_assign=1 FOR UPDATE"
"explain select id from users where virt_ready_for_assign=1 FOR UPDATE SKIP LOCKED"
P.S. I did try run ANALYZE table, it didn't help. Only removing the index and re-creating it will help. But that's not a solution.
Update: JSON explain:
explain format=json select count(*) from users where virt_ready_for_assign=1
{
"query_block": {
"select_id": 1,
"cost_info": {
"query_cost": "77786.30"
},
"table": {
"table_name": "users",
"access_type": "ref",
"possible_keys": [
"virt_ready_for_assign"
],
"key": "virt_ready_for_assign",
"used_key_parts": [
"virt_ready_for_assign"
],
"key_length": "2",
"ref": [
"const"
],
"rows_examined_per_scan": 772200,
"rows_produced_per_join": 772200,
"filtered": "100.00",
"using_index": true,
"cost_info": {
"read_cost": "566.30",
"eval_cost": "77220.00",
"prefix_cost": "77786.30",
"data_read_per_join": "1G"
},
"used_columns": [
"d_table_id",
"date_assigned",
"date_finished",
"virt_ready_for_assign"
]
}
}
}
The above explain SQL will yield to count(*) = 0
Not one row currently found
Proof of the bug from my point of view:
I created a second identical index and made queries to the table with both indexes, it reproduceable shows a significant time difference in execution.
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign_2) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 241 |
+----------+
1 row in set (0.02 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 300 |
+----------+
1 row in set (0.14 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign_2) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 751 |
+----------+
1 row in set (0.01 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 745 |
+----------+
1 row in set (0.08 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign_2) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 42 |
+----------+
1 row in set (0.01 sec)
mysql innodb mysql-8.0
Important Update
Spent 15 hours on this problem, rebuilt and changed indexes and the table many times.
Finally I can say that it's NOT a "virtual column" problem, it's an Innodb Indexing issue.
The "query cost" increases by about 10,000 (which is a LOT) every hour of using the index.
When rebuilding the index (drop, create) the query cost is back 1.1.
So based on the analyzer performance gets 50,000 times slower in half a day;)
This happens because of INSERTS and UPDATES on the table, it seems the index is increasingly corrupted somehow, about half of the inserted rows seem not to update inside the index.
Simplified table:
CREATE TABLE `users`
(
`id` int(11) NOT NULL AUTO_INCREMENT,
`first_name` varchar(64) COLLATE utf8_bin DEFAULT NULL,
`last_name` varchar(64) COLLATE utf8_bin DEFAULT NULL,
`d_table_id` int(11) DEFAULT NULL,
`last_code` smallint(6) DEFAULT NULL,
`date_created` datetime NOT NULL,
`date_assigned` datetime DEFAULT NULL,
`date_finished` datetime DEFAULT NULL,
`virt_ready_for_assign` tinyint(1) GENERATED ALWAYS AS ((isnull(`date_assigned`) and isnull(`date_finished`) and (`d_table_id` > 0))) VIRTUAL,
PRIMARY KEY (`id`),
KEY `date_assigned` (`date_assigned`),
KEY `d_table_id` (`d_table_id`),
KEY `d_table_id_date_assigned` (`d_table_id`, `date_assigned`),
KEY `date_assigned_date_finished` (`date_assigned`, `date_finished`),
KEY `virt_ready_for_assign` (`virt_ready_for_assign` DESC)
) ENGINE = InnoDB
AUTO_INCREMENT = 76124573
DEFAULT CHARSET = utf8
COLLATE = utf8_bin
EXPLAIN:
"explain select count(*) from users where virt_ready_for_assign=1"
id select_type table partitions type possible_keys key key_len ref rows filtered Extra
1 SIMPLE users NULL ref virt_ready_for_assign virt_ready_for_assign 2 const 696608 100.00 Using index
The problem: The table has 76 million entries and 20 (!!!) of them have virt_ready_for_assign = 1, 99% have virt_ready_for_assign = 0
Why does it show 696608 ?
This query is being executed a lot and sometimes stalls for seconds, but it should be lightning fast..
The reason for the virtual column was to make this query as fast as possible to dedicate a perfect index to it without wasting disk space (or having to rebuild).
It works perfectly after creating the index and after a day with some million of inserts it gets bad and shows a wrong number in explain.
The actual query used is one of those:
"explain select id from users where virt_ready_for_assign=1 FOR UPDATE"
"explain select id from users where virt_ready_for_assign=1 FOR UPDATE SKIP LOCKED"
P.S. I did try run ANALYZE table, it didn't help. Only removing the index and re-creating it will help. But that's not a solution.
Update: JSON explain:
explain format=json select count(*) from users where virt_ready_for_assign=1
{
"query_block": {
"select_id": 1,
"cost_info": {
"query_cost": "77786.30"
},
"table": {
"table_name": "users",
"access_type": "ref",
"possible_keys": [
"virt_ready_for_assign"
],
"key": "virt_ready_for_assign",
"used_key_parts": [
"virt_ready_for_assign"
],
"key_length": "2",
"ref": [
"const"
],
"rows_examined_per_scan": 772200,
"rows_produced_per_join": 772200,
"filtered": "100.00",
"using_index": true,
"cost_info": {
"read_cost": "566.30",
"eval_cost": "77220.00",
"prefix_cost": "77786.30",
"data_read_per_join": "1G"
},
"used_columns": [
"d_table_id",
"date_assigned",
"date_finished",
"virt_ready_for_assign"
]
}
}
}
The above explain SQL will yield to count(*) = 0
Not one row currently found
Proof of the bug from my point of view:
I created a second identical index and made queries to the table with both indexes, it reproduceable shows a significant time difference in execution.
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign_2) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 241 |
+----------+
1 row in set (0.02 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 300 |
+----------+
1 row in set (0.14 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign_2) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 751 |
+----------+
1 row in set (0.01 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 745 |
+----------+
1 row in set (0.08 sec)
mysql> select count(*) from users FORCE INDEX (virt_ready_for_assign_2) where virt_ready_for_assign=1;
+----------+
| count(*) |
+----------+
| 42 |
+----------+
1 row in set (0.01 sec)
mysql innodb mysql-8.0
mysql innodb mysql-8.0
edited 14 mins ago
John
asked 13 hours ago
JohnJohn
1327
1327
add a comment |
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