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How to Access Spark Logs in an Yarn Cluster?


In this post , we will see - How to Access Spark Logs in an Yarn Cluster . Sometimes beginners find it difficult to trace back the Spark Logs when the Spark application is deployed through Yarn as Resource Manager.

We will try to jot down all the necessary steps required while running Spark in YARN mode and also to retrieve the corresponding driver and executors logs. When you deploy and run the Spark job through Yarn as a Resource Manager , the job is executed inside various containers. This makes it difficult ,especially for newbies to find the necessary job logs.  

Yarn Side:

It is very difficult to manage the logs in a Distributed environment when we submit job in a cluster mode. Hence when you run the Spark job through a Resource Manager like YARN, Kubernetes etc.,, they facilitate collection of the logs from the various machines\nodes (where the tasks got executed) . And subsequently provide these logs through UI or CLIs. But certain things needs to be setup to make this process easy. We discuss all these below.  

Yarn Configuration:

  • Firstly you need to enable the Log generation process in Yarn configuration - in yarn-site.xml


<property>
  <name>yarn.log-aggregation-enable</name>
  <value>true</value>
</property>
  • There is one additional property to be used as shown below. This property would configure the interval for starting the log aggregation process. If this property is not used , then the log aggregation process starts only when the application terminates.


<property>
  <name>yarn.nodemanager.log-aggregation.roll-monitoring-interval- seconds</name>
  <value>3600</value>
</property>

Finding Logs if Yarn Log-Aggregation Turned On:

Once you enable the log aggregation process, then only you can use the below process to retrieve the Yarn logs.  

  • The logs in an Yarn system can be accesses using the below command -


    yarn logs -applicationId <application ID> \[OPTIONS\]
Other search Options to retrieve logs are -

    • appOwner - Application Owner - current user assumed by default
    • containerId - MUST if below node address is used
    • nodeAddress - Used with format of nodename:port (MUST if container id is used)
  Example -



yarn logs -applicationId application\_xxxxxxxxxxxxxxx\_yyyyy 

yarn logs -applicationId <YOUR\_APP\_ID> --appOwner <USER\_ID>
  • To List all the IDs of the Applications running in Yarn -


yarn application -list

Finding Logs if Yarn Log-Aggregation is Turned Off:

If the Yarn Aggregation is not turned on , the logs will not be retrievable directly through Yarn. In such case , the logs will be under the root of the "containers" that run the driver and the executor . That means those logs will be on the nodes\machines(where the job\task got executed) inside the cluster. In that case , to retrieve the log , you have to go to each of the nodes in the cluster where the Spark job ran. And then you have to look for a directory named "/tmp/logs" in each of the nodes. You can use the below command to search the log -



hdfs dfs -ls /tmp/logs/{USER\_ID}/logs    <--USER\_ID is whichever USER\_ID submitted the Spark job
Hope this post helps you to understand how to find the Spark Logs if it is submitted to a Yarn Cluster.    

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