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Test the performance of connection pools (DBCP, C3P0, Druid, Hikari) in 4 respectively.

1. Environmental preparation

1.1 Connection Pool Configuration

1.1.1 DBCP

gradle import package;

implementation 'org.apache.commons:commons-dbcp2:2.9.0'
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application.yml placement:

# DBCP
spring.datasource.url: jdbc:mysql://192.168.162.49:3306/gts?useSSL=false&autoReconnect=true&characterEncoding=UTF-8
spring.datasource.username: gts
spring.datasource.password: mysql
spring.datasource.driver-class-name: com.mysql.cj.jdbc.Driver
spring.datasource.type: org.apache.commons.dbcp2.BasicDataSource
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Spring.datasource.type needs to be specified.

1.1.2 C3P0

gradle import package:

implementation 'com.mchange:c3p0:0.9.5.5'
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application.yml placement:

## C3P0
spring.datasource.jdbcUrl: jdbc:mysql://192.168.162.49:3306/gts?useSSL=false&autoReconnect=true&characterEncoding=UTF-8&serverTimezone=UTC
spring.datasource.user: gts
spring.datasource.password: mysql
spring.datasource.driverClass: com.mysql.cj.jdbc.Driver
spring.datasource.type: com.mchange.v2.c3p0.ComboPooledDataSource
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Spring.datasource.type needs to be specified. C3P0 cannot directly reuse the default configuration of springDataSource, you need to specify a separate class:

package com.dhb.gts.javacourse.week6.mysqltest;

import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.boot.jdbc.DataSourceBuilder;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

import javax.sql.DataSource;

@Configuration
public class C3p0DatasourceConfig {

	@Bean(name = "dataSource")
	@Qualifier(value = "dataSource")
	@ConfigurationProperties(prefix = "spring.datasource")
	public DataSource dataSource() {
		       return DataSourceBuilder.create().type(com.mchange.v2.c3p0.ComboPooledDataSource.class).build();
	}
	
}
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1.1.3 Druid

gradle import package:

implementation 'com.alibaba:druid:1.2.6'
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application.yml placement:

# 数据源配置 durid
spring.datasource.url: jdbc:mysql://192.168.162.49:3306/gts?useSSL=false&autoReconnect=true&characterEncoding=UTF-8
spring.datasource.username: gts
spring.datasource.password: mysql
spring.datasource.driver-class-name: com.mysql.cj.jdbc.Driver
spring.datasource.type: com.alibaba.druid.pool.DruidDataSource
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Spring.datasource.type needs to be specified.

1.1.4 Hikari

gradle import package:

implementation 'com.zaxxer:HikariCP:4.0.3'
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Since Hikari is the default connection pool for tomcat in springboot, there is no need to specify type.

#数据源配置 默认Hikari
spring.datasource.url: jdbc:mysql://192.168.162.49:3306/gts?useSSL=false&autoReconnect=true&characterEncoding=UTF-8
spring.datasource.username: gts
spring.datasource.password: mysql
spring.datasource.driver-class-name: com.mysql.cj.jdbc.Driver
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1.1.5 General arrangement

spring.datasource.initialSize: 5
spring.datasource.minIdle: 5
spring.datasource.maxActive: 20
spring.datasource.maxWait: 60000
spring.datasource.timeBetweenEvictionRunsMillis: 60000
spring.datasource.validationQuery: SELECT 1
spring.datasource.testWhileIdle: true
spring.datasource.testOnBorrow: false
spring.datasource.testOnReturn: false
spring.datasource.poolPreparedStatements: true
spring.datasource.maxPoolPreparedStatementPerConnectionSize: 20
spring.datasource.filters: stat
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1.2 Tested API

Order inquiry class:

package com.dhb.gts.javacourse.week6.mysqltest;

import com.alibaba.fastjson.JSON;
import com.dhb.gts.javacourse.fluent.dao.intf.OrderSummaryDao;
import com.dhb.gts.javacourse.fluent.entity.OrderSummaryEntity;
import com.dhb.gts.javacourse.fluent.helper.OrderSummaryMapping;
import com.dhb.gts.javacourse.fluent.mapper.OrderDetailMapper;
import com.dhb.gts.javacourse.fluent.mapper.OrderSummaryMapper;
import com.google.common.base.Stopwatch;
import lombok.extern.slf4j.Slf4j;
import org.apache.logging.log4j.util.Strings;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import java.util.HashMap;
import java.util.List;
import java.util.Map;

@RestController
@Slf4j
public class QueryOrderTable {
	
	@Autowired
	OrderSummaryDao orderSummaryDao;

	@RequestMapping("/queryByKey")
	public String queryByKey(String key) {
		Stopwatch stopwatch = Stopwatch.createStarted();
		Integer orde_id = Integer.parseInt(key);
		OrderSummaryEntity entity = orderSummaryDao.selectById(orde_id);
		stopwatch.stop();
		System.out.println("通过key查询，走索引耗时：" + stopwatch);
		return JSON.toJSONString(entity);
	}

	@RequestMapping("/queryByOther")
	public String queryByKey(String orderNo, String expressNo) {
		Stopwatch stopwatch = Stopwatch.createStarted();
		Map<String, Object> map = new HashMap<>();
		if (Strings.isNotEmpty(orderNo)) {
			Integer order_no = Integer.parseInt(orderNo);
			map.put(OrderSummaryMapping.orderNo.column, order_no);
		} else if (Strings.isNotEmpty(expressNo)) {
			map.put(OrderSummaryMapping.expressNo.column, expressNo);
		}
		List<OrderSummaryEntity> entitys = orderSummaryDao.selectByMap(map);
		stopwatch.stop();
		System.out.println("不通过key查询，全表扫描耗时：" + stopwatch);
		return JSON.toJSONString(entitys);
	}
}
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1.3 Test Tools

Via browser and ApacheBench.

2. Batch write test

On the basis of the data inventory of 1 million pieces of data, 100,000 pieces of data are written respectively, and each batch is 1,000 pieces. details as following:

2.1 C3P0

http://127.0.0.1:8084/randomInsertOrderTable?total=100000&batch=1000

2021-09-14 10:12:38.765  INFO 15256 --- [nio-8084-exec-2] c.d.g.j.w.m.RandomInsertOrderTable       : 总计插入批次共101次，其中，最大耗时:629ms 最小耗时：172ms 平均耗时:260.03960396039605ms
2021-09-14 10:12:38.765  INFO 15256 --- [nio-8084-exec-2] c.d.g.j.w.m.RandomInsertOrderTable       : 批量插入数据 totalSize [100000]... 共耗时[26300] ms
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http://127.0.0.1:8084/randomInsertOrderTable?total=100000&batch=1000

2021-09-14 10:14:08.988  INFO 15256 --- [nio-8084-exec-5] c.d.g.j.w.m.RandomInsertOrderTable       : 总计插入批次共101次，其中，最大耗时:563ms 最小耗时：201ms 平均耗时:274.8217821782178ms
2021-09-14 10:14:08.988  INFO 15256 --- [nio-8084-exec-5] c.d.g.j.w.m.RandomInsertOrderTable       : 批量插入数据 totalSize [100000]... 共耗时[27784] ms
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2.2 DBCP

DBCP: http://127.0.0.1:8084/randomInsertOrderTable?total=100000&batch=1000

2021-09-13 20:40:05.859  INFO 18340 --- [nio-8084-exec-2] c.d.g.j.w.m.RandomInsertOrderTable       : 总计插入批次共101次，其中，最大耗时:364ms 最小耗时：164ms 平均耗时:246.54455445544554ms
2021-09-13 20:40:05.859  INFO 18340 --- [nio-8084-exec-2] c.d.g.j.w.m.RandomInsertOrderTable       : 批量插入数据 totalSize [100000]... 共耗时[24925] ms
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the second time

2021-09-13 20:41:13.099  INFO 18340 --- [nio-8084-exec-5] c.d.g.j.w.m.RandomInsertOrderTable       : 总计插入批次共101次，其中，最大耗时:724ms 最小耗时：192ms 平均耗时:265.96039603960395ms
2021-09-13 20:41:13.099  INFO 18340 --- [nio-8084-exec-5] c.d.g.j.w.m.RandomInsertOrderTable       : 批量插入数据 totalSize [100000]... 共耗时[26891] ms
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2.3 Druid

http://127.0.0.1:8084/randomInsertOrderTable?total=100000&batch=1000

2021-09-13 19:50:11.037  INFO 8308 --- [nio-8084-exec-1] c.d.g.j.w.m.RandomInsertOrderTable       : 总计插入批次共101次，其中，最大耗时:684ms 最小耗时：193ms 平均耗时:310.4257425742574ms
2021-09-13 19:50:11.037  INFO 8308 --- [nio-8084-exec-1] c.d.g.j.w.m.RandomInsertOrderTable       : 批量插入数据 totalSize [100000]... 共耗时[31366] ms
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Second test:

2021-09-13 19:53:37.951  INFO 8308 --- [nio-8084-exec-6] c.d.g.j.w.m.RandomInsertOrderTable       : 总计插入批次共101次，其中，最大耗时:599ms 最小耗时：176ms 平均耗时:231.1980198019802ms
2021-09-13 19:53:37.951  INFO 8308 --- [nio-8084-exec-6] c.d.g.j.w.m.RandomInsertOrderTable       : 批量插入数据 totalSize [100000]... 共耗时[23367] ms
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2.4 Hikari

http://127.0.0.1:8084/randomInsertOrderTable?total=100000&batch=1000

2021-09-13 20:58:46.881  INFO 19084 --- [nio-8084-exec-1] c.d.g.j.w.m.RandomInsertOrderTable       : 总计插入批次共101次，其中，最大耗时:565ms 最小耗时：195ms 平均耗时:270.34653465346537ms
2021-09-13 20:58:46.882  INFO 19084 --- [nio-8084-exec-1] c.d.g.j.w.m.RandomInsertOrderTable       : 批量插入数据 totalSize [100000]... 共耗时[27339] ms
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http://127.0.0.1:8084/randomInsertOrderTable?total=100000&batch=1000

2021-09-13 21:00:35.252  INFO 19084 --- [nio-8084-exec-9] c.d.g.j.w.m.RandomInsertOrderTable       : 总计插入批次共101次，其中，最大耗时:681ms 最小耗时：187ms 平均耗时:263.23762376237624ms
2021-09-13 21:00:35.252  INFO 19084 --- [nio-8084-exec-9] c.d.g.j.w.m.RandomInsertOrderTable       : 批量插入数据 totalSize [100000]... 共耗时[26604] ms
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2.5 Summary

Testing frequency	C3P0	DBCP	Druid	Hikari
the first time	26.3s	24.9s	31.3s	27.3s
the second time	27.7s	26.8s	23.3s	26.6s

Conclusion: Different database connection pools have little performance difference in single-threaded batch inserts.

3 Primary key query

3.1 DBCP

http://127.0.0.1:8084/queryByKey?key=100039

通过key查询，走索引耗时：4.932 ms
通过key查询，走索引耗时：3.223 ms
通过key查询，走索引耗时：4.227 ms
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3.2 C3P0

http://127.0.0.1:8084/queryByKey?key=100045

通过key查询，走索引耗时：2.763 ms
通过key查询，走索引耗时：1.754 ms
通过key查询，走索引耗时：2.151 ms
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3.3 Druid

http://127.0.0.1:8084/queryByKey?key=100036

通过key查询，走索引耗时：2.606 ms
通过key查询，走索引耗时：2.303 ms
通过key查询，走索引耗时：1.980 ms
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3.4 Hikari

http://127.0.0.1:8084/queryByKey?key=100042

通过key查询，走索引耗时：3.658 ms
通过key查询，走索引耗时：3.548 ms
通过key查询，走索引耗时：2.974 ms
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3.5 汇总

测试次数	DBCP	C3P0	Druid	Hikari
第一次	4.9ms	2.7ms	2.6ms	3.6ms
第二次	3.2ms	1.7ms	2.3ms	3.1ms
第三次	4.2ms	2.1ms	2.1ms	2.9ms

结论，4种连接池对单次查询的效率影响不大，都在毫秒级，差异主要是由于数据库数据量大小的差异，数据越多可能会导致查询耗时增加。

4.全表扫描查询

4.1 DBCP

http://127.0.0.1:8084/queryByOther?orderNo=100793

不通过key查询，全表扫描耗时：3.108 s
不通过key查询，全表扫描耗时：3.037 s
不通过key查询，全表扫描耗时：3.186 s
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4.2 C3P0

http://127.0.0.1:8084/queryByOther?orderNo=100812

不通过key查询，全表扫描耗时：3.936 s
不通过key查询，全表扫描耗时：3.135 s
不通过key查询，全表扫描耗时：3.127 s
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4.3 Druid

http://127.0.0.1:8084/queryByOther?orderNo=100790

不通过key查询，全表扫描耗时：2.181 s
不通过key查询，全表扫描耗时：2.633 s
不通过key查询，全表扫描耗时：2.193 s
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4.4 Hikari

http://127.0.0.1:8084/queryByOther?orderNo=100797

不通过key查询，全表扫描耗时：3.376 s
不通过key查询，全表扫描耗时：3.453 s
不通过key查询，全表扫描耗时：3.063 s
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4.5 汇总

测试次数	DBCP	C3P0	Druid	Hikari
第一次	3.1s	3.9s	2.6ms	3.3s
第二次	3.0s	3.1s	2.3ms	3.4s
第三次	3.1s	3.1s	2.1ms	3.0s

结论，如果不通过索引，全表扫描的话，在100万级数据量上进行全表扫描的时间将是通过索引时间的1000倍，这个时间达到了3秒左右。需要注意的是，上述的测试每次都是测试的不同数据，以避免mysql数据库的缓存。

5 采用apachebench 进行负载测试

由于前面每个场景的测试过程中，通过主键的查询效率最高，另外由于mysql在第二次查询的时候，会对数据进行缓存，那么现在可以通过apachebench查询同一条数据，这条数据的性能在走缓存之后，查询效率是最高的，通过这种方式来对4种连接池进行负载测试，测试结果的差异，就大致可以认为是4种连接池的差异了。 4种连接池的通用配置参数都相同。

5.1 DBCP

$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 5 -N 60

Starting at 2021/9/13 20:43:53
[Press C to stop the test]
116692  (RPS: 1838.5)
---------------Finished!----------------
Finished at 2021/9/13 20:44:56 (took 00:01:03.6372882)
Status 200:    116692

RPS: 1908.2 (requests/second)
Max: 45ms
Min: 0ms
Avg: 2ms

  50%   below 2ms
  60%   below 2ms
  70%   below 2ms
  80%   below 2ms
  90%   below 3ms
  95%   below 5ms
  98%   below 8ms
  99%   below 11ms
99.9%   below 22ms

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$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 10 -N 60

Starting at 2021/9/13 20:45:35
[Press C to stop the test]
151850  (RPS: 2389.2)
---------------Finished!----------------
Finished at 2021/9/13 20:46:39 (took 00:01:03.7269118)
Status 200:    151850

RPS: 2482.5 (requests/second)
Max: 68ms
Min: 1ms
Avg: 3.4ms

  50%   below 3ms
  60%   below 3ms
  70%   below 3ms
  80%   below 4ms
  90%   below 6ms
  95%   below 8ms
  98%   below 13ms
  99%   below 17ms
99.9%   below 31ms
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$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 20 -N 60

Starting at 2021/9/13 20:46:56
[Press C to stop the test]
153168  (RPS: 2403.7)
---------------Finished!----------------
Finished at 2021/9/13 20:48:00 (took 00:01:03.8479386)
Status 200:    153168

RPS: 2504.4 (requests/second)
Max: 124ms
Min: 1ms
Avg: 7.3ms

  50%   below 6ms
  60%   below 7ms
  70%   below 8ms
  80%   below 9ms
  90%   below 11ms
  95%   below 15ms
  98%   below 20ms
  99%   below 25ms
99.9%   below 55ms
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$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 30 -N 60

Starting at 2021/9/13 20:55:02
[Press C to stop the test]
139871  (RPS: 2198.8)
---------------Finished!----------------
Finished at 2021/9/13 20:56:06 (took 00:01:03.7289551)
Status 200:    139871

RPS: 2288.4 (requests/second)
Max: 416ms
Min: 1ms
Avg: 12.3ms

  50%   below 10ms
  60%   below 11ms
  70%   below 13ms
  80%   below 16ms
  90%   below 21ms
  95%   below 26ms
  98%   below 34ms
  99%   below 41ms
99.9%   below 68ms
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5.2 C3P0

$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 5 -N 60

Starting at 2021/9/14 10:16:28
[Press C to stop the test]
177537  (RPS: 2795.5)
---------------Finished!----------------
Finished at 2021/9/14 10:17:31 (took 00:01:03.6954500)
Status 200:    177537

RPS: 2901.6 (requests/second)
Max: 153ms
Min: 0ms
Avg: 1.2ms

  50%   below 1ms
  60%   below 1ms
  70%   below 1ms
  80%   below 1ms
  90%   below 2ms
  95%   below 2ms
  98%   below 4ms
  99%   below 7ms
99.9%   below 16ms
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$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 10 -N 60

Starting at 2021/9/14 10:18:19
[Press C to stop the test]
219027  (RPS: 3436.9)
---------------Finished!----------------
Finished at 2021/9/14 10:19:22 (took 00:01:03.8997966)
Status 200:    219027

RPS: 3580.4 (requests/second)
Max: 186ms
Min: 0ms
Avg: 2.2ms

  50%   below 2ms
  60%   below 2ms
  70%   below 2ms
  80%   below 3ms
  90%   below 4ms
  95%   below 5ms
  98%   below 9ms
  99%   below 12ms
99.9%   below 35ms
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$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 20 -N 60

Starting at 2021/9/14 10:37:44
[Press C to stop the test]
194916  (RPS: 3060.2)
---------------Finished!----------------
Finished at 2021/9/14 10:38:47 (took 00:01:03.7583865)
Status 200:    194916

RPS: 3192 (requests/second)
Max: 164ms
Min: 0ms
Avg: 5.5ms

  50%   below 3ms
  60%   below 4ms
  70%   below 5ms
  80%   below 6ms
  90%   below 9ms
  95%   below 18ms
  98%   below 35ms
  99%   below 45ms
99.9%   below 73ms
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$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 30 -N 60

Starting at 2021/9/14 10:41:14
[Press C to stop the test]
177592  (RPS: 2794.4)
---------------Finished!----------------
Finished at 2021/9/14 10:42:18 (took 00:01:03.6924274)
Status 200:    177594

RPS: 2905.8 (requests/second)
Max: 195ms
Min: 0ms
Avg: 9.3ms

  50%   below 5ms
  60%   below 6ms
  70%   below 8ms
  80%   below 12ms
  90%   below 21ms
  95%   below 34ms
  98%   below 50ms
  99%   below 63ms
99.9%   below 114ms
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5.3 Druid

$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 5 -N 60

Starting at 2021/9/13 20:21:08
[Press C to stop the test]
175187  (RPS: 2755.2)
---------------Finished!----------------
Finished at 2021/9/13 20:22:12 (took 00:01:03.7623277)
Status 200:    175187

RPS: 2864.2 (requests/second)
Max: 38ms
Min: 0ms
Avg: 1.3ms

  50%   below 1ms
  60%   below 1ms
  70%   below 1ms
  80%   below 1ms
  90%   below 2ms
  95%   below 2ms
  98%   below 4ms
  99%   below 7ms
99.9%   below 14ms
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sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 10 -N 60

Starting at 2021/9/13 20:02:50
[Press C to stop the test]
212730  (RPS: 3351)1)
---------------Finished!----------------
Finished at 2021/9/13 20:03:54 (took 00:01:03.5864881)
Status 200:    212730

RPS: 3481.4 (requests/second)
Max: 81ms
Min: 0ms
Avg: 2.2ms

  50%   below 2ms
  60%   below 2ms
  70%   below 2ms
  80%   below 3ms
  90%   below 4ms
  95%   below 5ms
  98%   below 9ms
  99%   below 13ms
99.9%   below 35ms
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$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 20 -N 60

Starting at 2021/9/13 20:11:50
[Press C to stop the test]
203228  (RPS: 3200)1)
---------------Finished!----------------
Finished at 2021/9/13 20:12:54 (took 00:01:03.6655223)
Status 200:    203228

RPS: 3322.7 (requests/second)
Max: 157ms
Min: 0ms
Avg: 5.3ms

  50%   below 4ms
  60%   below 4ms
  70%   below 5ms
  80%   below 6ms
  90%   below 8ms
  95%   below 13ms
  98%   below 27ms
  99%   below 38ms
99.9%   below 70ms
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$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 30 -N 60

Starting at 2021/9/13 20:16:23
[Press C to stop the test]
181003  (RPS: 2844.4)
---------------Finished!----------------
Finished at 2021/9/13 20:17:27 (took 00:01:03.6971351)
Status 200:    181003

RPS: 2964.6 (requests/second)
Max: 177ms
Min: 0ms
Avg: 9.1ms

  50%   below 6ms
  60%   below 7ms
  70%   below 8ms
  80%   below 10ms
  90%   below 16ms
  95%   below 29ms
  98%   below 49ms
  99%   below 61ms
99.9%   below 113ms
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5.4 Hikari

$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 5 -N 60

Starting at 2021/9/13 21:06:49
[Press C to stop the test]
185323  (RPS: 2913.2)
---------------Finished!----------------
Finished at 2021/9/13 21:07:53 (took 00:01:03.7726191)
Status 200:    185323

RPS: 3030.2 (requests/second)
Max: 45ms
Min: 0ms
Avg: 1.2ms

  50%   below 1ms
  60%   below 1ms
  70%   below 1ms
  80%   below 1ms
  90%   below 2ms
  95%   below 2ms
  98%   below 4ms
  99%   below 6ms
99.9%   below 15ms
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$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 10 -N 60

Starting at 2021/9/13 21:08:30
[Press C to stop the test]
225182  (RPS: 3543.7)
---------------Finished!----------------
Finished at 2021/9/13 21:09:34 (took 00:01:03.6733168)
Status 200:    225182

RPS: 3683.4 (requests/second)
Max: 81ms
Min: 0ms
Avg: 2.1ms

  50%   below 1ms
  60%   below 2ms
  70%   below 2ms
  80%   below 2ms
  90%   below 4ms
  95%   below 5ms
  98%   below 9ms
  99%   below 13ms
99.9%   below 26ms
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$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 20 -N 60

Starting at 2021/9/13 21:10:13
[Press C to stop the test]
200447  (RPS: 3141.4)
---------------Finished!----------------
Finished at 2021/9/13 21:11:17 (took 00:01:03.9914240)
Status 200:    200447

RPS: 3276.1 (requests/second)
Max: 148ms
Min: 0ms
Avg: 5.3ms

  50%   below 4ms
  60%   below 4ms
  70%   below 5ms
  80%   below 6ms
  90%   below 9ms
  95%   below 14ms
  98%   below 32ms
  99%   below 39ms
99.9%   below 65ms
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$ sb -u http://127.0.0.1:8084/queryByKey?key=100036 -c 30 -N 60

Starting at 2021/9/13 21:12:14
[Press C to stop the test]
189749  (RPS: 2983.5)
---------------Finished!----------------
Finished at 2021/9/13 21:13:17 (took 00:01:03.6197358)
189757  (RPS: 2983.6)                   Status 200:    189757

RPS: 3106.4 (requests/second)
Max: 202ms
Min: 0ms
Avg: 8.7ms

  50%   below 6ms
  60%   below 6ms
  70%   below 8ms
  80%   below 10ms
  90%   below 15ms
  95%   below 29ms
  98%   below 46ms
  99%   below 58ms
99.9%   below 108ms
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5.5 汇总

通过apache bench,分别在5、10、20、30等并发的情况下进行测试：

测试次数	DBCP	C3P0	Druid	Hikari
5c	1908.2 R/S	2901.6 R/S	2865.2 R/S	3030.2 R/S
10c	2482.5 R/S	3580.4 R/s	3481.4 R/S	3680.4 R/S
20c	2504.4 R/S	3192 R/S	3322.7 R/S	3276.1 R/S
30c	2288.4 R/S	2905.8 R/S	2964.6 R/S	3106.4 R/S

结论：可以通过上述测试结果发现，Hikari > Druid > C3P0 > DBCP。实际上Druid与C3P0差距不大。但是Druid具有良好的可监控性，比C3P0更值得推荐。DBCP是表现最差的。

Comparison of insert and select performance of mysql under different database connection pools (DBCP, C3P0, Druid, Hikari)

1. Environmental preparation

1.1 Connection Pool Configuration

1.1.1 DBCP

1.1.2 C3P0

1.1.3 Druid

1.1.4 Hikari

1.1.5 General arrangement

1.2 Tested API

1.3 Test Tools

2. Batch write test

2.1 C3P0

2.2 DBCP

2.3 Druid

2.4 Hikari

2.5 Summary

3 Primary key query

3.1 DBCP

3.2 C3P0

3.3 Druid

3.4 Hikari

3.5 汇总

4.全表扫描查询

4.1 DBCP

4.2 C3P0

4.3 Druid

4.4 Hikari

4.5 汇总

5 采用apachebench 进行负载测试

5.1 DBCP

5.2 C3P0

5.3 Druid

5.4 Hikari

5.5 汇总

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