Spark On Yarn中spark.yarn.jar属性的使用

Spark On Yarn中spark.yarn.jar属性的使用

http://www.cnblogs.com/luogankun/p/4191796.html

今天在测试spark-sql运行在yarn上的过程中，无意间从日志中发现了一个问题：

spark-sql --master yarn

14/12/29 15:23:17 INFO Client: Requesting a new application from cluster with 1 NodeManagers 14/12/29 15:23:17 INFO Client: Verifying our application has not requested more than the maximum memory capability of the cluster (8192 MB per container) 14/12/29 15:23:17 INFO Client: Will allocate AM container, with 896 MB memory including 384 MB overhead 14/12/29 15:23:17 INFO Client: Setting up container launch context for our AM 14/12/29 15:23:17 INFO Client: Preparing resources for our AM container 14/12/29 15:23:17 INFO Client: Uploading resource file:/home/spark/software/source/compile/deploy_spark/assembly/target/scala-2.10/spark-assembly-1.3.0-SNAPSHOT-hadoop2.3.0-cdh5.0.0.jar -> hdfs://hadoop000:8020/user/spark/.sparkStaging/application_1416381870014_0093/spark-assembly-1.3.0-SNAPSHOT-hadoop2.3.0-cdh5.0.0.jar 14/12/29 15:23:18 INFO Client: Setting up the launch environment for our AM container

再开启一个spark-sql命令行，从日志中再次发现：

14/12/29 15:24:03 INFO Client: Requesting a new application from cluster with 1 NodeManagers 14/12/29 15:24:03 INFO Client: Verifying our application has not requested more than the maximum memory capability of the cluster (8192 MB per container) 14/12/29 15:24:03 INFO Client: Will allocate AM container, with 896 MB memory including 384 MB overhead 14/12/29 15:24:03 INFO Client: Setting up container launch context for our AM 14/12/29 15:24:03 INFO Client: Preparing resources for our AM container 14/12/29 15:24:03 INFO Client: Uploading resource file:/home/spark/software/source/compile/deploy_spark/assembly/target/scala-2.10/spark-assembly-1.3.0-SNAPSHOT-hadoop2.3.0-cdh5.0.0.jar -> hdfs://hadoop000:8020/user/spark/.sparkStaging/application_1416381870014_0094/spark-assembly-1.3.0-SNAPSHOT-hadoop2.3.0-cdh5.0.0.jar 14/12/29 15:24:05 INFO Client: Setting up the launch environment for our AM container

然后查看HDFS上的文件：

hadoop fs -ls hdfs://hadoop000:8020/user/spark/.sparkStaging/

drwx------   - spark supergroup          0 2014-12-29 15:23 hdfs://hadoop000:8020/user/spark/.sparkStaging/application_1416381870014_0093 drwx------   - spark supergroup          0 2014-12-29 15:24 hdfs://hadoop000:8020/user/spark/.sparkStaging/application_1416381870014_0094

每个Application都会上传一个spark-assembly-x.x.x-SNAPSHOT-hadoopx.x.x-cdhx.x.x.jar的jar包，影响HDFS的性能以及占用HDFS的空间。

 

在Spark文档(http://spark.apache.org/docs/latest/running-on-yarn.html)中发现spark.yarn.jar属性，将spark-assembly-xxxxx.jar存放在hdfs://hadoop000:8020/spark_lib/下

在spark-defaults.conf添加属性配置：

spark.yarn.jar hdfs://hadoop000:8020/spark_lib/spark-assembly-1.3.0-SNAPSHOT-hadoop2.3.0-cdh5.0.0.jar

再次启动spark-sql --master yarn观察日志：

14/12/29 15:39:02 INFO Client: Requesting a new application from cluster with 1 NodeManagers 14/12/29 15:39:02 INFO Client: Verifying our application has not requested more than the maximum memory capability of the cluster (8192 MB per container) 14/12/29 15:39:02 INFO Client: Will allocate AM container, with 896 MB memory including 384 MB overhead 14/12/29 15:39:02 INFO Client: Setting up container launch context for our AM 14/12/29 15:39:02 INFO Client: Preparing resources for our AM container 14/12/29 15:39:02 INFO Client: Source and destination file systems are the same. Not copying hdfs://hadoop000:8020/spark_lib/spark-assembly-1.3.0-SNAPSHOT-hadoop2.3.0-cdh5.0.0.jar 14/12/29 15:39:02 INFO Client: Setting up the launch environment for our AM container

观察HDFS上文件

hadoop fs -ls hdfs://hadoop000:8020/user/spark/.sparkStaging/application_1416381870014_0097

该Application对应的目录下没有spark-assembly-xxxxx.jar了，从而节省assembly包上传的过程以及HDFS空间占用。

 

我在测试过程中遇到了类似如下的错误：

Application application_xxxxxxxxx_yyyy failed 2 times due to AM Container for application_xxxxxxxxx_yyyy 

exited with exitCode: -1000 due to: java.io.FileNotFoundException: File /tmp/hadoop-spark/nm-local-dir/filecache does not exist

在/tmp/hadoop-spark/nm-local-dir路径下创建filecache文件夹即可解决报错问题。