背景
MySQL 的 server 层和引擎层在 statement 并发执行过程中,有很多串行化的点,在 DML 语句中,事务锁冲突比较常见,InnoDB 中事务锁的最细粒度是行级锁,如果语句针对相同行进行并发操作,会导致冲突比较严重,系统吞吐量会随着并发的增加而递减。
AliSQL 设计了针对语句的排队机制,相同的行或者不同的语句进行分桶排队,尽可能的把具有相同冲突可能的在一个桶内排队,减少 conflict 的开销。
语法
变量
系统提供了两个变量来定义 ccl queue 的 bucket 数量和大小。
1.ccl_queue_bucket_count
表示:一共有多少个bucket, 默认值:4,取值范围:[1, 64]
2.ccl_queue_bucket_size
表示:一个bucket 允许并发数是多少, 默认值:64, 取值范围:[1, 4096]
Hint
系统支持两个hint语法:
1.ccl_queue_value
根据 value 的值进行 hash 分桶
1. 语法:
2. /*+ CCL_QUEUE_VALUE([INT | STRING)] */
4. 例子:
5. update /*+ ccl_queue_value(1) */ t set c=c+1 where id = 1;
7. update /*+ ccl_queue_value('xpchild') */ t set c=c+1
8. where name = 'xpchild';
2.ccl_queue_field
根据 where 条件中的 field 指定的值进行 hash 分桶
1. 语法:
2. /*+ CCL_QUEUE_FIELD(STRING) */
4. 例如:
5. update /*+ ccl_queue_field("id") */ t set c=c+1
6. where id = 1 and name = 'xpchild';
8. 在where条件中查找id字段指定的条件常量值来进行分桶
注意: ccl_queue_field 填入的字段名字, 在 where 条件的查找过程中:
- 只支持对裸字段的二元运算符的条件
- 二元运算的右值必须是数字或者字符串
接口
系统支持两个接口进行查询当前的状态:
1.dbms_ccl.show_ccl_queue()
1. mysql> call dbms_ccl.show_ccl_queue();
2. +------+-------+-------------------+---------+---------+----------+
3. | ID | TYPE | CONCURRENCY_COUNT | MATCHED | RUNNING | WAITTING |
4. +------+-------+-------------------+---------+---------+----------+
5. | 1 | QUEUE | 64 | 1 | 0 | 0 |
6. | 2 | QUEUE | 64 | 40744 | 65 | 6 |
7. | 3 | QUEUE | 64 | 0 | 0 | 0 |
8. | 4 | QUEUE | 64 | 0 | 0 | 0 |
9. +------+-------+-------------------+---------+---------+----------+
10. 4 rows in set (0.01 sec)
CONCURRENCY_COUNT: 最大并发数
MATCHED: 命中规则的累积数量
RUNNING:当前并发的数量
WAITTING: 当前等待的数量
2.dbms_ccl.flush_ccl_queue()
清理内存中的状态, 重新加载
1. mysql> call dbms_ccl.flush_ccl_queue(); Query OK, 0 rows affected (0.00 sec)
3. mysql> call dbms_ccl.show_ccl_queue();
4. +------+-------+-------------------+---------+---------+----------+
5. | ID | TYPE | CONCURRENCY_COUNT | MATCHED | RUNNING | WAITTING |
6. +------+-------+-------------------+---------+---------+----------+
7. | 1 | QUEUE | 64 | 0 | 0 | 0 |
8. | 2 | QUEUE | 64 | 0 | 0 | 0 |
9. | 3 | QUEUE | 64 | 0 | 0 | 0 |
10. | 4 | QUEUE | 64 | 0 | 0 | 0 |
11. +------+-------+-------------------+---------+---------+----------+
12. 4 rows in set (0.00 sec)
效果
针对单行进行并发 update 的场景下,目前进行的测试,相比较原生的 MySQL, AliSQL 有接近 4 倍的提升。
配合 outline 在线修改
为了能够快速在线修改 SQL statement 的并发控制,而不介入冗长的应用业务代码的修改,这里可以使用AliSQL 提供的 Outline 来配合, 下面使用 sysbench 的 update_non_index 作为一个例子:
测试环境:
测试表结构:
1. CREATE TABLE `sbtest1` (
2. `id` int(10) unsigned NOT NULL AUTO_INCREMENT,
3. `k` int(10) unsigned NOT NULL DEFAULT '0',
4. `c` char(120) NOT NULL DEFAULT '',
5. `pad` char(60) NOT NULL DEFAULT '',
6. PRIMARY KEY (`id`),
7. KEY `k_1` (`k`)
8. ) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8 MAX_ROWS=1000000;
测试语句:
1. UPDATE sbtest1 SET c='xpchild' WHERE id=0;
测试脚本:
1. ./sysbench
2. --mysql-host= {$ip}
3. --mysql-port= {$port}
4. --mysql-db=test
5. --test=./sysbench/share/sysbench/update_non_index.lua
6. --oltp-tables-count=1
7. --oltp_table_size=1
8. --num-threads=128
9. --mysql-user=u0
测试过程
1. 在线增加 outline
1. mysql> CALL DBMS_OUTLN.add_optimizer_outline('test', '', 1,
2. ' /*+ ccl_queue_field("id") */ ',
3. "UPDATE sbtest1 SET c='xpchild' WHERE id=0");
4. Query OK, 0 rows affected (0.01 sec)
2. 查看 outline 并验证
1. mysql> call dbms_outln.show_outline();
2. +------+--------+------------------------------------------------------------------+-----------+-------+------+--------------------------------+------+----------+---------------------------------------------+
3. | ID | SCHEMA | DIGEST | TYPE | SCOPE | POS | HINT | HIT | OVERFLOW | DIGEST_TEXT |
4. +------+--------+------------------------------------------------------------------+-----------+-------+------+--------------------------------+------+----------+---------------------------------------------+
5. | 1 | test | 7b945614749e541e0600753367884acff5df7e7ee2f5fb0af5ea58897910f023 | OPTIMIZER | | 1 | /*+ ccl_queue_field("id") */ | 0 | 0 | UPDATE `sbtest1` SET `c` = ? WHERE `id` = ? |
6. +------+--------+------------------------------------------------------------------+-----------+-------+------+--------------------------------+------+----------+---------------------------------------------+
7. 1 row in set (0.00 sec)
3. 验证 outline 生效
1. mysql> explain UPDATE sbtest1 SET c='xpchild' WHERE id=0;
2. +----+-------------+---------+------------+-------+---------------+---------+---------+-------+------+----------+-------------+
3. | id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
4. +----+-------------+---------+------------+-------+---------------+---------+---------+-------+------+----------+-------------+
5. | 1 | UPDATE | sbtest1 | NULL | range | PRIMARY | PRIMARY | 4 | const | 1 | 100.00 | Using where |
6. +----+-------------+---------+------------+-------+---------------+---------+---------+-------+------+----------+-------------+
7. 1 row in set, 1 warning (0.00 sec)
9. mysql> show warnings;
10. +-------+------+-----------------------------------------------------------------------------------------------------------------------------+
11. | Level | Code | Message |
12. +-------+------+-----------------------------------------------------------------------------------------------------------------------------+
13. | Note | 1003 | update /*+ CCL_QUEUE_FIELD('id') */ `test`.`sbtest1` set `test`.`sbtest1`.`c` = 'xpchild' where (`test`.`sbtest1`.`id` = 0) |
14. +-------+------+-----------------------------------------------------------------------------------------------------------------------------+
15. 1 row in set (0.00 sec)
4. 查看 ccl queue 状态
1. mysql> call dbms_ccl.show_ccl_queue();
2. +------+-------+-------------------+---------+---------+----------+
3. | ID | TYPE | CONCURRENCY_COUNT | MATCHED | RUNNING | WAITTING |
4. +------+-------+-------------------+---------+---------+----------+
5. | 1 | QUEUE | 64 | 0 | 0 | 0 |
6. | 2 | QUEUE | 64 | 0 | 0 | 0 |
7. | 3 | QUEUE | 64 | 0 | 0 | 0 |
8. | 4 | QUEUE | 64 | 0 | 0 | 0 |
9. +------+-------+-------------------+---------+---------+----------+
10. 4 rows in set (0.00 sec)
5. 开启测试
1. sysbench
2. --mysql-host= {$ip}
3. --mysql-port= {$port}
4. --mysql-db=test
5. --test=./sysbench/share/sysbench/update_non_index.lua
6. --oltp-tables-count=1
7. --oltp_table_size=1
8. --num-threads=128
9. --mysql-user=u0
6. 验证测试效果
1. mysql> call dbms_ccl.show_ccl_queue();
2. +------+-------+-------------------+---------+---------+----------+
3. | ID | TYPE | CONCURRENCY_COUNT | MATCHED | RUNNING | WAITTING |
4. +------+-------+-------------------+---------+---------+----------+
5. | 1 | QUEUE | 64 | 10996 | 63 | 4 |
6. | 2 | QUEUE | 64 | 0 | 0 | 0 |
7. | 3 | QUEUE | 64 | 0 | 0 | 0 |
8. | 4 | QUEUE | 64 | 0 | 0 | 0 |
9. +------+-------+-------------------+---------+---------+----------+
10. 4 rows in set (0.03 sec)
ccl queue 显示命中了10996 次排队, 当前运行并发63个,排队等待4个。
1. mysql> call dbms_outln.show_outline();
2. +------+--------+-----------+-----------+-------+------+--------------------------------+--------+----------+---------------------------------------------+
3. | ID | SCHEMA | DIGEST | TYPE | SCOPE | POS | HINT | HIT | OVERFLOW | DIGEST_TEXT |
4. +------+--------+-----------+-----------+-------+------+--------------------------------+--------+----------+---------------------------------------------+
5. | 1 | test | xxxxxxxxx | OPTIMIZER | | 1 | /*+ ccl_queue_field("id") */ | 115795 | 0 | UPDATE `sbtest1` SET `c` = ? WHERE `id` = ? |
6. +------+--------+-----------+-----------+-------+------+--------------------------------+--------+----------+---------------------------------------------+
7. 1 row in set (0.00 sec)
outline 显示命中了115795 次。
Ccl queue 可以配合着 outline 进行在线修改业务,方便快捷。
