如何使用kafka

如何使用kafka

关注
发信
关注(28)粉丝(399)

如何使用Kafka 0.8 Log4j Appender

本文介绍了如何使用Kafka 0.8 Log4j Appender的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

限时删除！！

我正在尝试运行Kafka-0.8 Log4j附加程序，但无法运行.我希望我的应用程序通过Log4j附加程序直接将日志发送到kafka.

I am trying to run Kafka-0.8 Log4j appender and I am unable to make it.I want my application to send log directly to kafka via Log4j appender.

这是我的log4j.properties.我找不到合适的编码器，因此我将其配置为使用默认编码器.(例如，我评论了这一行.)

Here is my log4j.properties.I couldn`t find any proper encoder, so I just configure it to use default encoder.(e.g I commented the line.)

log4j.rootLogger=INFO, stdout, KAFKA

log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern=%5p [%t] (%F:%L) - %m%n

log4j.appender.KAFKA=kafka.producer.KafkaLog4jAppender
log4j.appender.KAFKA.layout=org.apache.log4j.PatternLayout
log4j.appender.KAFKA.layout.ConversionPattern=%-5p: %c - %m%n
log4j.appender.KAFKA.BrokerList=hnode01:9092
log4j.appender.KAFKA.Topic=DKTestEvent

#log4j.appender.KAFKA.SerializerClass=kafka.log4j.AppenderStringEncoder

这是我的示例应用程序.

And this is my sample application.

import org.apache.log4j.Logger;
import org.apache.log4j.BasicConfigurator;
import org.apache.log4j.PropertyConfigurator;

public class HelloWorld {

        static Logger logger = Logger.getLogger(HelloWorld.class.getName());

        public static void main(String[] args) {
            PropertyConfigurator.configure(args[0]);

            logger.info("Entering application.");
            logger.debug("Debugging!.");
            logger.info("Exiting application.");
        }
}

我使用maven进行编译.我在pom.xml中包含了kafka_2.8.2-0.8.0和log4j_1.2.17

I used maven for compiling.I included kafka_2.8.2-0.8.0 and log4j_1.2.17 in my pom.xml

我收到这些错误:

INFO [main] (Logging.scala:67) - Verifying properties
INFO [main] (Logging.scala:67) - Property metadata.broker.list is overridden to hnode01:9092
INFO [main] (Logging.scala:67) - Property serializer.class is overridden to kafka.serializer.StringEncoder
INFO [main] (HelloWorld.java:14) - Entering application.
INFO [main] (HelloWorld.java:14) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 0 for 1 topic(s) Set(DKTestEvent)
INFO [main] (HelloWorld.java:14) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 1 for 1 topic(s) Set(DKTestEvent)
INFO [main] (HelloWorld.java:14) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 2 for 1 topic(s) Set(DKTestEvent)
INFO [main] (HelloWorld.java:14) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 3 for 1 topic(s) Set(DKTestEvent)
INFO [main] (HelloWorld.java:14) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 4 for 1 topic(s) Set(DKTestEvent)
INFO [main] (HelloWorld.java:14) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 5 for 1 topic(s) Set(DKTestEvent)
.
.
.
INFO [main] (HelloWorld.java:14) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 60 for 1 topic(s) Set(DKTestEvent)
INFO [main] (HelloWorld.java:14) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 61 for 1 topic(s) Set(DKTestEvent)
INFO [main] (HelloWorld.java:14) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 62 for 1 topic(s) Set(DKTestEvent)
INFO [main] (Logging.scala:67) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 63 for 1 topic(s) Set(DKTestEvent)
INFO [main] (Logging.scala:67) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 64 for 1 topic(s) Set(DKTestEvent)
INFO [main] (Logging.scala:67) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 65 for 1 topic(s) Set(DKTestEvent)
INFO [main] (Logging.scala:67) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 66 for 1 topic(s) Set(DKTestEvent)
INFO [main] (Logging.scala:67) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 67 for 1 topic(s) Set(DKTestEvent)
.
.
.
INFO [main] (Logging.scala:67) - Fetching metadata from broker id:0,host:hnode01,port:9092 with correlation id 534 for 1 topic(s) Set(DKTestEvent)
ERROR [main] (Logging.scala:67) -
ERROR [main] (Logging.scala:67) -
ERROR [main] (Logging.scala:67) -
ERROR [main] (Logging.scala:67) -
ERROR [main] (Logging.scala:67) -
ERROR [main] (Logging.scala:67) -
java.lang.StackOverflowError
    at java.lang.ClassLoader.defineClass1(Native Method)
    at java.lang.ClassLoader.defineClass(ClassLoader.java:643)
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:277)
at java.net.URLClassLoader.access$000(URLClassLoader.java:73)
at java.net.URLClassLoader$1.run(URLClassLoader.java:212)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:205)
at java.lang.ClassLoader.loadClass(ClassLoader.java:323)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:294)
at java.lang.ClassLoader.loadClass(ClassLoader.java:268)
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(ClassLoader.java:643)
at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:277)
at java.net.URLClassLoader.access$000(URLClassLoader.java:73)
at java.net.URLClassLoader$1.run(URLClassLoader.java:212)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:205)
at java.lang.ClassLoader.loadClass(ClassLoader.java:323)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:294)
at java.lang.ClassLoader.loadClass(ClassLoader.java:268)
at org.apache.log4j.spi.ThrowableInformation.getThrowableStrRep(ThrowableInformation.java:87)
at org.apache.log4j.spi.LoggingEvent.getThrowableStrRep(LoggingEvent.java:413)
at org.apache.log4j.WriterAppender.subAppend(WriterAppender.java:313)
at org.apache.log4j.WriterAppender.append(WriterAppender.java:162)
at org.apache.log4j.AppenderSkeleton.doAppend(AppenderSkeleton.java:251)
at org.apache.log4j.helpers.AppenderAttachableImpl.appendLoopOnAppenders(AppenderAttachableImpl.java:66)
at org.apache.log4j.Category.callAppenders(Category.java:206)
at org.apache.log4j.Category.forcedLog(Category.java:391)
at org.apache.log4j.Category.error(Category.java:322)
at kafka.utils.Logging$$anonfun$swallowError$1.apply(Logging.scala:105)
at kafka.utils.Logging$$anonfun$swallowError$1.apply(Logging.scala:105)
at kafka.utils.Utils$.swallow(Utils.scala:189)
at kafka.utils.Logging$class.swallowError(Logging.scala:105)
at kafka.utils.Utils$.swallowError(Utils.scala:46)
at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:67)
at kafka.producer.Producer.send(Producer.scala:76)
at kafka.producer.KafkaLog4jAppender.append(KafkaLog4jAppender.scala:96)
at org.apache.log4j.AppenderSkeleton.doAppend(AppenderSkeleton.java:251)
at org.apache.log4j.helpers.AppenderAttachableImpl.appendLoopOnAppenders(AppenderAttachableImpl.java:66)
at org.apache.log4j.Category.callAppenders(Category.java:206)
at org.apache.log4j.Category.forcedLog(Category.java:391)
at org.apache.log4j.Category.info(Category.java:666)
at kafka.utils.Logging$class.info(Logging.scala:67)
at kafka.client.ClientUtils$.info(ClientUtils.scala:31)
at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:51)
at kafka.producer.BrokerPartitionInfo.updateInfo(BrokerPartitionInfo.scala:82)
at kafka.producer.async.DefaultEventHandler$$anonfun$handle$1.apply$mcV$sp(DefaultEventHandler.scala:67)
at kafka.utils.Utils$.swallow(Utils.scala:187)
at kafka.utils.Logging$class.swallowError(Logging.scala:105)
at kafka.utils.Utils$.swallowError(Utils.scala:46)
at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:67)
at kafka.producer.Producer.send(Producer.scala:76)
at kafka.producer.KafkaLog4jAppender.append(KafkaLog4jAppender.scala:96)
at org.apache.log4j.AppenderSkeleton.doAppend(AppenderSkeleton.java:251)
at org.apache.log4j.helpers.AppenderAttachableImpl.appendLoopOnAppenders(AppenderAttachableImpl.java:66)
.
.
.

如果我不终止程序，我将不断遇到错误.

I am getting above error continuously if i don`t terminate the program.

如果我想念什么，请告诉我.

If I miss something, kindly let me know.

推荐答案

我认为Jonas已经确定了问题所在，即Kafka生产者日志也被记录到Kafka附加程序中，从而导致无限循环并最终导致堆栈溢出(无双关)故意的)您可以将所有Kafka日志配置为转到其他附加程序.下面显示了将输出发送到stdout的情况:

I think Jonas has identified the problem, that is the Kafka producer logging is also getting logged to the Kafka appender causing an infinite loop and eventual stack overflow (no pun intended)You can configure all Kafka logs to go to a different appender. The following shows sending the output to stdout:

log4j.logger.kafka=INFO, stdout

因此，您应该在log4j.properties中添加以下内容

So you should end up with the following in your log4j.properties

log4j.rootLogger=INFO, stdout, KAFKA
log4j.logger.kafka=INFO, stdout
log4j.logger.HelloWorld=INFO, KAFKA

这篇关于如何使用Kafka 0.8 Log4j Appender的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！

1403页，肝出来的..

09-07 01:04
Powered by LMLPHP ©2024 如何使用kafka 0.033189