服务器之家:专注于服务器技术及软件下载分享
分类导航

Mysql|

分析Mysql表读写、索引等操作的sql语句效率优化问题

2019-06-13 10:15来源:执笔记忆的空白所属分类:Mysql

今天小编就为大家分享一篇关于分析Mysql表读写、索引等操作的sql语句效率优化问题,小编觉得内容挺不错的,现在分享给大家,具有很好的参考价值,需要的朋友一起跟随小编来看看吧

上次我们说到mysql的一些sql查询方面的优化,包括查看explain执行计划,分析索引等等。今天我们分享一些 分析mysql表读写、索引等等操作的sql语句。

闲话不多说,直接上代码:

反映表的读写压力

SELECT file_name AS file,
    count_read,
    sum_number_of_bytes_read AS total_read,
    count_write,
    sum_number_of_bytes_write AS total_written,
    (sum_number_of_bytes_read + sum_number_of_bytes_write) AS total
 FROM performance_schema.file_summary_by_instance
ORDER BY sum_number_of_bytes_read+ sum_number_of_bytes_write DESC;

反映文件的延迟

SELECT (file_name) AS file,
    count_star AS total,
    CONCAT(ROUND(sum_timer_wait / 3600000000000000, 2), 'h') AS total_latency,
    count_read,
    CONCAT(ROUND(sum_timer_read / 1000000000000, 2), 's') AS read_latency,
    count_write,
    CONCAT(ROUND(sum_timer_write / 3600000000000000, 2), 'h')AS write_latency
 FROM performance_schema.file_summary_by_instance
ORDER BY sum_timer_wait DESC;

table 的读写延迟

SELECT object_schema AS table_schema,
       object_name AS table_name,
       count_star AS total,
       CONCAT(ROUND(sum_timer_wait / 3600000000000000, 2), 'h') as total_latency,
       CONCAT(ROUND((sum_timer_wait / count_star) / 1000000, 2), 'us') AS avg_latency,
       CONCAT(ROUND(max_timer_wait / 1000000000, 2), 'ms') AS max_latency
 FROM performance_schema.objects_summary_global_by_type
    ORDER BY sum_timer_wait DESC;

查看表操作频度

SELECT object_schema AS table_schema,
      object_name AS table_name,
      count_star AS rows_io_total,
      count_read AS rows_read,
      count_write AS rows_write,
      count_fetch AS rows_fetchs,
      count_insert AS rows_inserts,
      count_update AS rows_updates,
      count_delete AS rows_deletes,
       CONCAT(ROUND(sum_timer_fetch / 3600000000000000, 2), 'h') AS fetch_latency,
       CONCAT(ROUND(sum_timer_insert / 3600000000000000, 2), 'h') AS insert_latency,
       CONCAT(ROUND(sum_timer_update / 3600000000000000, 2), 'h') AS update_latency,
       CONCAT(ROUND(sum_timer_delete / 3600000000000000, 2), 'h') AS delete_latency
   FROM performance_schema.table_io_waits_summary_by_table
    ORDER BY sum_timer_wait DESC ;

索引状况

SELECT OBJECT_SCHEMA AS table_schema,
        OBJECT_NAME AS table_name,
        INDEX_NAME as index_name,
        COUNT_FETCH AS rows_fetched,
        CONCAT(ROUND(SUM_TIMER_FETCH / 3600000000000000, 2), 'h') AS select_latency,
        COUNT_INSERT AS rows_inserted,
        CONCAT(ROUND(SUM_TIMER_INSERT / 3600000000000000, 2), 'h') AS insert_latency,
        COUNT_UPDATE AS rows_updated,
        CONCAT(ROUND(SUM_TIMER_UPDATE / 3600000000000000, 2), 'h') AS update_latency,
        COUNT_DELETE AS rows_deleted,
        CONCAT(ROUND(SUM_TIMER_DELETE / 3600000000000000, 2), 'h')AS delete_latency
FROM performance_schema.table_io_waits_summary_by_index_usage
WHERE index_name IS NOT NULL
ORDER BY sum_timer_wait DESC;

全表扫描情况

SELECT object_schema,
    object_name,
    count_read AS rows_full_scanned
 FROM performance_schema.table_io_waits_summary_by_index_usage
WHERE index_name IS NULL
  AND count_read > 0
ORDER BY count_read DESC;

没有使用的index

SELECT object_schema,
    object_name,
    index_name
  FROM performance_schema.table_io_waits_summary_by_index_usage
 WHERE index_name IS NOT NULL
  AND count_star = 0
  AND object_schema not in ('mysql','v_monitor')
  AND index_name <> 'PRIMARY'
 ORDER BY object_schema, object_name;

糟糕的sql问题摘要

SELECT (DIGEST_TEXT) AS query,
    SCHEMA_NAME AS db,
    IF(SUM_NO_GOOD_INDEX_USED > 0 OR SUM_NO_INDEX_USED > 0, '*', '') AS full_scan,
    COUNT_STAR AS exec_count,
    SUM_ERRORS AS err_count,
    SUM_WARNINGS AS warn_count,
    (SUM_TIMER_WAIT) AS total_latency,
    (MAX_TIMER_WAIT) AS max_latency,
    (AVG_TIMER_WAIT) AS avg_latency,
    (SUM_LOCK_TIME) AS lock_latency,
    format(SUM_ROWS_SENT,0) AS rows_sent,
    ROUND(IFNULL(SUM_ROWS_SENT / NULLIF(COUNT_STAR, 0), 0)) AS rows_sent_avg,
    SUM_ROWS_EXAMINED AS rows_examined,
    ROUND(IFNULL(SUM_ROWS_EXAMINED / NULLIF(COUNT_STAR, 0), 0)) AS rows_examined_avg,
    SUM_CREATED_TMP_TABLES AS tmp_tables,
    SUM_CREATED_TMP_DISK_TABLES AS tmp_disk_tables,
    SUM_SORT_ROWS AS rows_sorted,
    SUM_SORT_MERGE_PASSES AS sort_merge_passes,
    DIGEST AS digest,
    FIRST_SEEN AS first_seen,
    LAST_SEEN as last_seen
  FROM performance_schema.events_statements_summary_by_digest d
where d
ORDER BY SUM_TIMER_WAIT DESC
limit 20;

掌握这些sql,你能轻松知道你的库那些表存在问题,然后考虑怎么去优化。   

总结

以上就是这篇文章的全部内容了,希望本文的内容对大家的学习或者工作具有一定的参考学习价值,谢谢大家对服务器之家的支持。

延伸 · 阅读

精彩推荐
  • Mysqlmysql binlog(二进制日志)查看方法

    mysql binlog(二进制日志)查看方法

    在本篇文章里小编给大家分享了关于mysql binlog(二进制日志)查看方法,有需要的朋友们学习下。...

    laozhang 473 2019-06-09
  • MysqlMysql5.7修改root密码教程

    Mysql5.7修改root密码教程

    今天小编就为大家分享一篇关于Mysql5.7修改root密码教程,小编觉得内容挺不错的,现在分享给大家,具有很好的参考价值,需要的朋友一起跟随小编来看看吧...

    炫酷飞扬 197 2019-06-04
  • MysqlUbuntu18.04安装mysql5.7.23的教程

    Ubuntu18.04安装mysql5.7.23的教程

    这篇文章主要为大家详细介绍了Ubuntu18.04安装mysql5.7.23的教程,具有一定的参考价值,感兴趣的小伙伴们可以参考一下...

    登峰小蚁 275 2019-06-05
  • MysqlUbuntu上mysql的安装及使用(通用版)

    Ubuntu上mysql的安装及使用(通用版)

    今天小编就为大家分享一篇关于Ubuntu上mysql的安装及使用(通用版),小编觉得内容挺不错的,现在分享给大家,具有很好的参考价值,需要的朋友一起跟随小编来看看吧...

    baiduoWang 404 2019-06-03
  • MysqlGDB调试Mysql实战之源码编译安装

    GDB调试Mysql实战之源码编译安装

    今天小编就为大家分享一篇关于GDB调试Mysql实战之源码编译安装,小编觉得内容挺不错的,现在分享给大家,具有很好的参考价值,需要的朋友一起跟随小编来看看吧...

    周梦康 455 2019-06-05
  • MysqlMysql忘记密码的几种解决方案

    Mysql忘记密码的几种解决方案

    今天小编就为大家分享一篇关于Mysql忘记密码的几种解决方案,小编觉得内容挺不错的,现在分享给大家,具有很好的参考价值,需要的朋友一起跟随小编来看看吧...

    平而不凡 329 2019-06-03
  • MysqlMySQL中int最大值深入讲解

    MySQL中int最大值深入讲解

    这篇文章主要给大家介绍了关于MySQL中int最大值的相关资料,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友们下面来一起学习学习吧...

    haoyq 473 2019-06-06
  • MysqlMySQL自定义函数简单用法示例

    MySQL自定义函数简单用法示例

    这篇文章主要介绍了MySQL自定义函数简单用法,结合实例形式分析了mysql自定义函数的基本定义、使用方法及操作注意事项,需要的朋友可以参考下...

    菜鸟学编程$ 320 2019-06-12