hadoop yarn - How to limit the number of retries on Spark job failure?

Question

We are running a Spark job via spark-submit, and I can see that the job will be re-submitted in the case of failure.

How can I stop it from having attempt #2 in case of yarn container failure or whatever the exception be?

This happened due to lack of memory and "GC overhead limit exceeded" issue.

Answer 1

There are two settings that control the number of retries (i.e. the maximum number of ApplicationMaster registration attempts with YARN is considered failed and hence the entire Spark application):

• spark.yarn.maxAppAttempts - Spark's own setting. See MAX_APP_ATTEMPTS:

    private[spark] val MAX_APP_ATTEMPTS = ConfigBuilder("spark.yarn.maxAppAttempts")
      .doc("Maximum number of AM attempts before failing the app.")
      .intConf
      .createOptional
  

• yarn.resourcemanager.am.max-attempts - YARN's own setting with default being 2.

(As you can see in YarnRMClient.getMaxRegAttempts) the actual number is the minimum of the configuration settings of YARN and Spark with YARN's being the last resort.