如何使用 log4j 登录到在 YARN 上运行的 Spark 应用程序内的本地文件系统? [英] How to log using log4j to local file system inside a Spark application that runs on YARN?

问题描述

我正在构建一个 Apache Spark Streaming 应用程序，但在 YARN 上运行时无法将其记录到本地文件系统上的文件.怎样才能做到这一点?

I'm building an Apache Spark Streaming application and cannot make it log to a file on the local filesystem when running it on YARN. How can achieve this?

我已经设置了 log4.properties 文件，以便它可以成功写入本地文件系统上 /tmp 目录中的日志文件(部分如下所示):

I've set log4.properties file so that it can successfully write to a log file in /tmp directory on the local file system (shown below partially):

log4j.appender.file=org.apache.log4j.FileAppender
log4j.appender.file.File=/tmp/application.log
log4j.appender.file.append=false
log4j.appender.file.layout=org.apache.log4j.PatternLayout
log4j.appender.file.layout.ConversionPattern=%d{yyyy-MM-dd HH:mm:ss} %-5p %c{1}:%L - %m%n

当我使用以下命令在本地运行我的 Spark 应用程序时:

When I run my Spark application locally by using the following command:

spark-submit --class myModule.myClass --master local[2] --deploy-mode client myApp.jar

它运行良好，我可以看到日志消息已写入本地文件系统上的 /tmp/application.log.

It runs fine and I can see that log messages are written to /tmp/application.log on my local file system.

但是当我通过 YARN 运行相同的应用程序时，例如

But when I run the same application via YARN, e.g.

spark-submit --class myModule.myClass --master yarn-client  --name "myModule" --total-executor-cores 1 --executor-memory 1g myApp.jar

或

spark-submit --class myModule.myClass --master yarn-cluster  --name "myModule" --total-executor-cores 1 --executor-memory 1g myApp.jar

我在运行 YARN 的机器的本地文件系统上看不到任何 /tmp/application.log.

I cannot see any /tmp/application.log on the local file system of the machine that runs YARN.

我错过了什么.

推荐答案

看起来您需要附加到启动任务/作业时使用的 JVM 参数.

It looks like you'll need to append to the JVM arguments used when launching your tasks/jobs.

尝试将 conf/spark-defaults.conf 编辑为 此处描述

spark.executor.extraJavaOptions=-Dlog4j.configuration=file:/apps/spark-1.2.0/conf/log4j.properties

spark.driver.extraJavaOptions=-Dlog4j.configuration=file:/apps/spark-1.2.0/conf/log4j.properties

或者尝试将 conf/spark-env.sh 编辑为 此处描述 以添加相同的 JVM 参数，尽管 conf/spark-defaults.conf 中的条目应该可以工作.

Alternatively try editing conf/spark-env.sh as described here to add the same JVM argument, although the entries in conf/spark-defaults.conf should work.

如果您仍然没有任何乐趣，您可以在命令行上明确传递您的 log4j.properties 文件的位置以及您的 spark-submit，如果该文件包含在您的JAR 文件和类路径的根目录中

If you are still not getting any joy, you can explicitly pass the location of your log4j.properties file on the command line along with your spark-submit like this if the file is contained within your JAR file and in the root directory of your classpath

spark-submit --class sparky.MyApp --master spark://my.host.com:7077 --conf "spark.executor.extraJavaOptions=-Dlog4j.configuration=log4j-executor.properties" myapp.jar

如果文件不在您的类路径中，请使用 file: 前缀和像这样的完整路径

If the file is not on your classpath use the file: prefix and full path like this

spark-submit ... --conf "spark.executor.extraJavaOptions=-Dlog4j.configuration=file:/apps/spark-1.2.0/conf/log4j-executor.properties" ...

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