THREADPOOLTASKEXECUTOR多線程使用,及線程池配置


1.配置 ThreadPoolTaskExecutor bean

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context"
    xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd
        http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd">
    
    <!-- 掃描注解 -->
    <context:component-scan base-package="com.qi.quartz">
        <context:exclude-filter type="annotation" expression="org.springframework.stereotype.Controller" />
    </context:component-scan>
    
    <bean id="taskExecutor" name="taskExecutor" class="org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor">  
        <!-- 核心線程數 線程池維護線程的最少數量 -->
        <property name="corePoolSize" value="10" />  
        <!-- 線程池維護線程所允許的空閑時間 -->
        <property name="keepAliveSeconds" value="200" />  
        <!-- 線程池維護線程的最大數量 -->
        <property name="maxPoolSize" value="20" />  
        <!-- 線程池所使用的緩沖隊列 -->
        <property name="queueCapacity" value="100" /> 
        <!-- 線程池對拒絕任務(無線程可用)的處理策略 ThreadPoolExecutor.CallerRunsPolicy策略 ,調用者的線程會執行該任務,如果執行器已關閉,則丟棄.  -->
        <property name="rejectedExecutionHandler">
            <bean class="java.util.concurrent.ThreadPoolExecutor$CallerRunsPolicy" />
        </property> 
    </bean>  
    
</beans>

2.controller使用

package com.qi.quartz.web;

import javax.annotation.Resource;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;

@Controller
@RequestMapping("/test")
public class ThreadPoolExcuteController {
    
    Logger LOG = LoggerFactory.getLogger(ThreadPoolExcuteController.class);
    
    @Resource(name = "taskExecutor")
    private ThreadPoolTaskExecutor taskExecutor;

    @RequestMapping("/execute")
    @ResponseBody
    public void execute(){
        taskExecutor.execute(new Runnable(){

            public void run() {
                try {
                    LOG.info("執行線程任務開始前");
                    Thread.currentThread().sleep(10000);
                    if (LOG.isDebugEnabled()) {
                        LOG.info("執行線程任務結束");
                    }
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
            
        });
    }

}

3.使用 apache ab 並發測試

/usr/local/apache2/bin/ab -n 1000 -c 1000 http://192.168.8.101:8080/QuartzDemo/test/execute

Benchmarking 192.168.8.101 (be patient)
Completed 100 requests
Completed 200 requests
Completed 300 requests
Completed 400 requests
Completed 500 requests
Completed 600 requests
Completed 700 requests
Completed 800 requests
Completed 900 requests
Completed 1000 requests
Finished 1000 requests


Server Software: Apache-Coyote/1.1
Server Hostname: 192.168.8.101
Server Port: 8080

Document Path: /QuartzDemo/test/execute
Document Length: 3 bytes

Concurrency Level: 1000
Time taken for tests: 41.982 seconds
Complete requests: 1000
Failed requests: 0
Write errors: 0
Total transferred: 163000 bytes
HTML transferred: 3000 bytes
Requests per second: 23.82 [#/sec] (mean)
Time per request: 41982.345 [ms] (mean)
Time per request: 41.982 [ms] (mean, across all concurrent requests)
Transfer rate: 3.79 [Kbytes/sec] received

Connection Times (ms)
min mean[+/-sd] median max
Connect: 1 304 211.4 291 1077
Processing: 172 22968 13412.1 21237 41240
Waiting: 161 22900 13455.0 21174 41171
Total: 472 23272 13441.8 21505 41944

Percentage of the requests served within a certain time (ms)
50% 21505
66% 31398
75% 31725
80% 40963
90% 41467
95% 41605
98% 41930
99% 41939
100% 41944 (longest request)

 

我們配置的核心處理10個線程,最大20個,緩沖隊列100,總耗時41.982,隨着我們更改這些配置的時候,處理的情況就不同了。

 

更改配置為

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context"
    xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd
        http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd">
    
    <!-- 掃描注解 -->
    <context:component-scan base-package="com.qi.quartz">
        <context:exclude-filter type="annotation" expression="org.springframework.stereotype.Controller" />
    </context:component-scan>
    
    <bean id="taskExecutor" name="taskExecutor" class="org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor">  
        <!-- 核心線程數 線程池維護線程的最少數量 -->
        <property name="corePoolSize" value="100" />  
        <!-- 線程池維護線程所允許的空閑時間 -->
        <property name="keepAliveSeconds" value="200" />  
        <!-- 線程池維護線程的最大數量 -->
        <property name="maxPoolSize" value="100" />  
        <!-- 線程池所使用的緩沖隊列 -->
        <property name="queueCapacity" value="500" /> 
        <!-- 線程池對拒絕任務(無線程可用)的處理策略 ThreadPoolExecutor.CallerRunsPolicy策略 ,調用者的線程會執行該任務,如果執行器已關閉,則丟棄.  -->
        <property name="rejectedExecutionHandler">
            <bean class="java.util.concurrent.ThreadPoolExecutor$CallerRunsPolicy" />
        </property> 
    </bean>  
    
</beans>

 

執行測試

./ab -n 1000 -c 1000 http://192.168.8.101:8080/QuartzDemo/test/execute

1000個請求,每次 1000個並發

結果

Server Software:        Apache-Coyote/1.1
Server Hostname:        192.168.8.101
Server Port:            8080

Document Path:          /QuartzDemo/test/execute
Document Length:        0 bytes

Concurrency Level:      1000
Time taken for tests:   22.452 seconds
Complete requests:      1000
Failed requests:        0
Write errors:           0
Total transferred:      121121 bytes
HTML transferred:       0 bytes
Requests per second:    44.54 [#/sec] (mean)
Time per request:       22452.351 [ms] (mean)
Time per request:       22.452 [ms] (mean, across all concurrent requests)
Transfer rate:          5.27 [Kbytes/sec] received

Connection Times (ms)
              min  mean[+/-sd] median   max
Connect:        1  216 403.0     95    3035
Processing:   210 6209 6834.3   1431   21534
Waiting:      209 6208 6834.3   1431   21534
Total:        334 6425 7071.3   1529   22421

Percentage of the requests served within a certain time (ms)
  50%   1529
  66%  11318
  75%  11630
  80%  11830
  90%  21315
  95%  22316
  98%  22338
  99%  22353
 100%  22421 (longest request)

 

可以看出僅用了22.452 秒,但是我們的請求數卻高出了很多  1000*1000-100*100 = 990000。

當然了,至於開多少個線程,還要看機器如何了。


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