【Java】使用Druid连接池的监控面板排查慢SQL

标签：00 rows Java .. druid Druid 监控 SQL

 

默认在后台服务的地址：

http://localhost:8078/druid/login.html

　　

账号信息放在配置文件中获取：

server:
  port: 8078
 
spring:
  datasource:
    druid:
      stat-view-servlet:
        loginUsername: admin # 访问druid监控界面的用户名密码
        loginPassword: 123456
      max-pool-prepared-statement-per-connection-size: 20
      filters: stat,wall
      connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000

 

starter依赖：

		<dependency>
			<groupId>com.alibaba</groupId>
			<artifactId>druid-spring-boot-starter</artifactId>
			<version>1.1.10</version>
		</dependency>

　　

登陆后，主要看这两个功能：

【SQL监控】和【URI监控】

 

URI监控可以查看接口响应的情况：

可以对每个字段进行排序操作，要查看响应最慢的接口，倒序【请求最慢】的字段即可

 

其次是查看【SQL监控】

在这里查看慢SQL：

 

点击后可以查看SQL，但是没有参数，只有占位符

 

分析慢SQL的做法是看SQL执行计划：

 

MySQL使用Explain关键字：

mysql> EXPLAIN 
SELECT * 
FROM `ymcd_aisw`.`aisw_merchant` 
WHERE merchant_no = 'AISW-36072521169083';
+----+-------------+---------------+------+-----------------+-----------------+---------+-------+------+-----------------------+
| id | select_type | table         | type | possible_keys   | key             | key_len | ref   | rows | Extra                 |
+----+-------------+---------------+------+-----------------+-----------------+---------+-------+------+-----------------------+
|  1 | SIMPLE      | aisw_merchant | ref  | IDX_MERCHANT_NO | IDX_MERCHANT_NO | 63      | const |    1 | Using index condition |
+----+-------------+---------------+------+-----------------+-----------------+---------+-------+------+-----------------------+
1 row in set (0.04 sec)

　

Oracle使用PL\SQL工具创建SQL执行计划：

 Plan Hash Value  : 3262553821 

------------------------------------------------------------------------------
| Id | Operation            | Name         | Rows  | Bytes | Cost | Time     |
------------------------------------------------------------------------------
|  0 | SELECT STATEMENT     |              |     1 |       |   68 | 00:00:01 |
|  1 |   SORT AGGREGATE     |              |     1 |       |      |          |
|  2 |    TABLE ACCESS FULL | TE_NONLIVING | 15024 |       |   68 | 00:00:01 |
------------------------------------------------------------------------------

　　

 

PostgreSQL使用关键字Explan Analyze:

postgres=# explain analyze
SELECT name FROM test WHERE id = 10000;

                                                      QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------
 Gather  (cost=1000.00..107139.34 rows=1 width=11) (actual time=1.020..708.268 rows=1 loops=1)
   Workers Planned: 2
   Workers Launched: 2
   ->  Parallel Seq Scan on test  (cost=0.00..106139.24 rows=1 width=11) (actual time=449.350..683.611 rows=0 loops=3)
         Filter: (id = 10000)
         Rows Removed by Filter: 3333333
 Planning Time: 0.169 ms
 Execution Time: 708.320 ms
(8 rows)

　　

 

标签：00,rows,Java,..,druid,Druid,监控,SQL
From： https://www.cnblogs.com/mindzone/p/16628086.html