前面几章,笔者分别介绍了log4j,logback,log4j2三大日志实现框架。
接下来,就用具体的数据比较下,哪个日志框架的性能更好!
单线程:外循环100次,内循环100000次;
多线程:开启100个线程,每个线程执行100000次;
(1)log4j:
public class log4jDemo {
Logger logger = Logger.getLogger(log4jDemo.class);
@Test
public void testThread() throws InterruptedException {
int THREAD_NUM = 100;
final int LOOP_NUM = 100000;
final CountDownLatch countDownLatch = new CountDownLatch(THREAD_NUM);
long start = System.currentTimeMillis();
for(int x= 0;x < THREAD_NUM;x++){
new Thread(new Runnable() {
public void run() {
for (int y = 0; y < LOOP_NUM; y++) {
logger.info("Info Message!");
}
countDownLatch.countDown();
}
}).start();
}
countDownLatch.await();
System.out.println(System.currentTimeMillis() - start);
}
@Test
public void test() throws InterruptedException {
int X_NUM = 100;
int Y_NUM = 100000;
long start = System.currentTimeMillis();
for(int x=0;x < X_NUM;x++) {
for (int y = 0; y < Y_NUM; y++) {
logger.info("Info Message!");
}
}
System.out.print(System.currentTimeMillis() - start);
}
}
(2)logback:
public class logbackDemo {
Logger logger = LoggerFactory.getLogger(logbackDemo.class);
@Test
public void testThread() throws InterruptedException {
int THREAD_NUM = 100;
final int LOOP_NUM = 100000;
final CountDownLatch countDownLatch = new CountDownLatch(THREAD_NUM);
long start = System.currentTimeMillis();
for(int x= 0;x < THREAD_NUM;x++){
new Thread(new Runnable() {
public void run() {
for (int y = 0; y < LOOP_NUM; y++) {
logger.info("Info Message!");
}
countDownLatch.countDown();
}
}).start();
}
countDownLatch.await();
System.out.println(System.currentTimeMillis() - start);
}
@Test
public void test() {
int X_NUM = 100;
int Y_NUM = 100000;
long start = System.currentTimeMillis();
for(int x=0;x<X_NUM;x++) {
for (int y = 0; y < Y_NUM; y++) {
logger.info("Info Message!");
}
}
System.out.print(System.currentTimeMillis()-start);
}
}
(3)log4j2:
public class log4j2Demo {
private Logger logger = LogManager.getLogger(log4j2Demo.class);
@Test
public void testThread() throws InterruptedException {
int THREAD_NUM = 100;
final int LOOP_NUM = 100000;
final CountDownLatch countDownLatch = new CountDownLatch(THREAD_NUM);
long start = System.currentTimeMillis();
for(int x= 0;x < THREAD_NUM;x++){
new Thread(new Runnable() {
public void run() {
for (int y = 0; y < LOOP_NUM; y++) {
logger.info("Info Message!");
}
countDownLatch.countDown();
}
}).start();
}
countDownLatch.await();
System.out.println(System.currentTimeMillis() - start);
}
@Test
public void test() throws InterruptedException {
int X_NUM = 100;
int Y_NUM = 100000;
long start = System.currentTimeMillis();
for(int x=0;x<X_NUM;x++) {
for (int y = 0; y < Y_NUM; y++) {
logger.info("Info Message!");
}
}
System.out.print(System.currentTimeMillis() - start);
}
}
(1)log4j:
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE log4j:configuration SYSTEM "log4j.dtd">
<log4j:configuration>
<!--无缓存,立即输出-->
<appender name="FILE" class="org.apache.log4j.FileAppender">
<param name="File" value="e:/log.out" />
<param name="append" value="true"/>
<layout class="org.apache.log4j.PatternLayout">
<param name="ConversionPattern" value="%d{HH:mm:ss.SSS} %p %c - %m%n" />
</layout>
</appender>
<!--有缓存,不立即输出-->
<appender name="FILE" class="org.apache.log4j.FileAppender">
<param name="File" value="e:/log.out" />
<param name="append" value="true"/>
<param name="immediateFlush" value="false"/>
<param name="bufferedIO" value="true"/>
<param name="bufferSize" value="8192"/>
<layout class="org.apache.log4j.PatternLayout">
<param name="ConversionPattern" value="%d{HH:mm:ss.SSS} %p %c - %m%n" />
</layout>
</appender>
<!--异步appender-->
<appender name="AsyncAppender" class="org.apache.log4j.AsyncAppender">
<appender-ref ref="FILE"/>
</appender>
<root>
<priority value="info" />
<appender-ref ref="FILE" />
<appender-ref ref="AsyncAppender" />
</root>
</log4j:configuration>
(2)logback:
<configuration >
<!--无缓存,立即输出-->
<appender name="FILE" class="ch.qos.logback.core.FileAppender">
<file>e:/log.out</file>
<append>true</append>
<encoder>
<pattern>%d{HH:mm:ss.SSS} %p %c - %m%n</pattern>
</encoder>
</appender>
<!--有缓存,不立即输出-->
<appender name="FILE" class="ch.qos.logback.core.FileAppender">
<file>e:/log.out</file>
<append>true</append>
<immediateFlush>false</immediateFlush>
<bufferSize>8192</bufferSize>
<encoder>
<pattern>%d{HH:mm:ss.SSS} %p %c - %m%n</pattern>
</encoder>
</appender>
<!--异步appender-->
<appender name ="ASYNC" class= "ch.qos.logback.classic.AsyncAppender">
<discardingThreshold>0</discardingThreshold>
<queueSize>128</queueSize>
<appender-ref ref ="FILE"/>
</appender>
<root level="info">
<appender-ref ref="ASYNC" />
<appender-ref ref="FILE" />
</root>
</configuration>
(3)log4j2:
<?xml version="1.0" encoding="UTF-8"?>
<Configuration status="info" monitorInterval="30">
<Appenders>
<!--无缓存,立即输出-->
<File name="File" fileName="e:/log.out" append="true">
<<PatternLayout>
<Pattern>%d{HH:mm:ss.SSS} %p %c - %m%n</Pattern>
</PatternLayout>
</File>
<!--有缓存,不立即输出-->
<File name="File" fileName="e:/log.out" append="true"
immediateFlush="false" bufferedIO="true" bufferSize="8192">
<PatternLayout>
<Pattern>%d{HH:mm:ss.SSS} %p %c - %m%n</Pattern>
</PatternLayout>
</File>
<!--异步appender-->
<Async name="Async">
<AppenderRef ref="File"/>
</Async>
</Appenders>
<Loggers>
<Root level="info" >
<AppenderRef ref="Async"/>
<AppenderRef ref="File"/>
</Root>
<!--异步logger-->
<AsyncRoot level="info" >
<AppenderRef ref="File"/>
</AsyncRoot>
</Loggers>
</Configuration>
笔者从单线程、多线程2种情况下进行的测试!
无论是多线程还是单线程,在启用缓存的情况下,系统性能得到了巨大的提升;
在单线程情况下,相比较来说,启用异步Appender并没有对性能有较大的提升!
值得一提的是,在log4j2中,多线程情况下,相对于同步logger来说,异步logger并没有进一步提高系统的性能,两者不相上下;
但是,对于其他情况而言,异步logger还是有较大的提升!