MySQL 5.7 SYS系统SCHEMA

在说明系统数据库之前，先来看下MySQL在数据字典方面的演变历史：
MySQL4.1 提供了information_schema 数据字典。从此可以很简单的用SQL语句来检索需要的系统元数据了。
MySQL5.5 提供了performance_schema 性能字典。 但是这个字典比较专业，一般人可能也就看看就不了了之了。
MySQL5.7 提供了 sys系统数据库。 sys数据库里面包含了一系列的存储过程、自定义函数以及视图来帮助我们快速的了解系统的元数据信息。


sys系统数据库结合了information_schema和performance_schema的相关数据，让我们更加容易的检索元数据。 现在呢，我就示范下几种场景下如何快速的使用。


第一，
比如之前想要知道某个表是否存在与否，可以用以下两种方法：
A， 悲观的方法，写SQL从information_schema中拿信息：

mysql> SELECT IF(COUNT(*) = 0,'Not exists!','Exists!') AS 'result' FROM information_schema.tables WHERE table_schema = 'new_feature' AND table_name = 't1';+-------------+| result      |+-------------+| Not exists! |+-------------+1 row in set (0.00 sec)

B，乐观的方法，假设表存在，写一个存储过程：

DELIMITER $$USE `new_feature`$$DROP PROCEDURE IF EXISTS `sp_table_exists`$$CREATE DEFINER=`root`@`localhost` PROCEDURE `sp_table_exists`(    IN db_name VARCHAR(64),    IN tb_name VARCHAR(64),    OUT is_exists VARCHAR(60)    )BEGIN      DECLARE no_such_table CONDITION FOR 1146;      DECLARE EXIT HANDLER FOR no_such_table      BEGIN        SET is_exists = 'Not exists!';      END;            SET @stmt = CONCAT('select 1 from ',db_name,'.',tb_name);      PREPARE s1 FROM @stmt;      EXECUTE s1;      DEALLOCATE PREPARE s1;      SET is_exists = 'Exists!';    END$$DELIMITER ;

现在来调用：

mysql> call sp_table_exists('new_feature','t1',@result);Query OK, 0 rows affected (0.00 sec)mysql> select @result;+-------------+| @result     |+-------------+| Not exists! |+-------------+1 row in set (0.00 sec)

现在我们直接用sys数据库里面现有的存储过程来进行调用，

mysql> CALL table_exists('new_feature','t1',@v_is_exists);Query OK, 0 rows affected (0.00 sec)mysql> SELECT IF(@v_is_exists = '','Not exists!',@v_is_exists) AS 'result';+-------------+| result      |+-------------+| Not exists! |+-------------+1 row in set (0.00 sec)

第二，获取没有使用过的索引。

mysql> SELECT * FROM schema_unused_indexes;+---------------+-------------+--------------+| object_schema | object_name | index_name   |+---------------+-------------+--------------+| new_feature   | t1          | idx_log_time || new_feature   | t1          | idx_rank2    |+---------------+-------------+--------------+2 rows in set (0.00 sec)

第三， 检索指定数据库下面的表扫描信息，过滤出执行次数大于10的查询，

mysql> SELECT * FROM statement_analysis WHERE db='new_feature' AND full_scan = '*'  AND exec_count > 10\G*************************** 1. row ***************************            query: SHOW STATUS                db: new_feature        full_scan: *       exec_count: 26        err_count: 0       warn_count: 0    total_latency: 74.68 ms      max_latency: 3.86 ms      avg_latency: 2.87 ms     lock_latency: 4.50 ms        rows_sent: 9594    rows_sent_avg: 369    rows_examined: 9594rows_examined_avg: 369    rows_affected: 0rows_affected_avg: 0       tmp_tables: 0  tmp_disk_tables: 0      rows_sorted: 0sort_merge_passes: 0           digest: 475fa3ad9d4a846cfa96441050fc9787       first_seen: 2015-11-16 10:51:17        last_seen: 2015-11-16 11:28:13*************************** 2. row ***************************            query: SELECT `state` , `round` ( SUM ... uration (summed) in sec` DESC                db: new_feature        full_scan: *       exec_count: 12        err_count: 0       warn_count: 12    total_latency: 16.43 ms      max_latency: 2.39 ms      avg_latency: 1.37 ms     lock_latency: 3.54 ms        rows_sent: 140    rows_sent_avg: 12    rows_examined: 852rows_examined_avg: 71    rows_affected: 0rows_affected_avg: 0       tmp_tables: 24  tmp_disk_tables: 0      rows_sorted: 140sort_merge_passes: 0           digest: 538e506ee0075e040b076f810ccb5f5c       first_seen: 2015-11-16 10:51:17        last_seen: 2015-11-16 11:28:132 rows in set (0.01 sec)

第四， 同样继续上面的，过滤出有临时表的查询，

mysql> SELECT * FROM statement_analysis WHERE db='new_feature' AND tmp_tables > 0 ORDER BY tmp_tables DESC LIMIT 1\G*************************** 1. row ***************************            query: SELECT `performance_schema` .  ... name` . `SUM_TIMER_WAIT` DESC                db: new_feature        full_scan: *       exec_count: 2        err_count: 0       warn_count: 0    total_latency: 87.96 ms      max_latency: 59.50 ms      avg_latency: 43.98 ms     lock_latency: 548.00 us        rows_sent: 101    rows_sent_avg: 51    rows_examined: 201rows_examined_avg: 101    rows_affected: 0rows_affected_avg: 0       tmp_tables: 332  tmp_disk_tables: 15      rows_sorted: 0sort_merge_passes: 0           digest: ff9bdfb7cf3f44b2da4c52dcde7a7352       first_seen: 2015-11-16 10:24:42        last_seen: 2015-11-16 10:24:421 row in set (0.01 sec)

可以看到上面查询详细的详细，再也不用执行show status 手工去过滤了。




第五， 检索执行次数排名前五的语句，

mysql> SELECT statement,total FROM user_summary_by_statement_type WHERE `user`='root' ORDER BY total DESC LIMIT 5;+-------------------+-------+| statement         | total |+-------------------+-------+| jump_if_not       | 17635 || freturn           |  3120 || show_create_table |   289 || Field List        |   202 || set_option        |   190 |+-------------------+-------+5 rows in set (0.01 sec)

示例我就写这么多了，详细的去看使用手册并且自己摸索去吧。