How to setup custom Spark parameter in HDInsights cluster with Data Factory

谁说胖子不能爱 提交于 2019-12-22 18:17:29

问题


I am creating HDInsights cluster on Azure according to this desciption

Now I would like to set up spark custom parameter, for example spark.yarn.appMasterEnv.PYSPARK3_PYTHON or spark_daemon_memory in time of cluster provisioning.

Is it possible to setup using Data Factory/Automation Account? I can not find any example doing this.

Thanks


回答1:


You can use SparkConfig in Data Factory to pass these configurations to Spark.

For example:

"typeProperties": {
...
  "sparkConfig": {
     "spark.submit.pyFiles": "/dist/package_name-1.0.0-py3.5.egg",
     "spark.yarn.appMasterEnv.PYSPARK_PYTHON": "/usr/bin/anaconda/envs/py35/bin/python3"
  }
}

This way you can specify all Spark configs that are listed in docs here.



来源:https://stackoverflow.com/questions/46814186/how-to-setup-custom-spark-parameter-in-hdinsights-cluster-with-data-factory

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