Please instead use: - ./spark-submit with --num-executors to specify the number of executors - Or set SPARK_EXECUTOR_INSTANCES - spark.executor.instances to configure the number of instances in the spark config. The summary page would look as shown below. Configuring Spark applications with Typesafe Config | Florent Forest Get and set Apache Spark configuration properties in a notebook Spark Properties and spark-defaults.conf Properties File · Spark Configuration - Spark 1.6.1 Documentation . spark-defaults.conf - IBM $ cd /usr/local/spark/conf $ cp spark-env.sh.template spark-env.sh. It also describes options you can adjust in this file to tweak the amount of memory required to successfully complete a Data Processing workflow. Configure Spark - Amazon EMR Configuration - Spark 3.2.1 Documentation If there is a file called spark-defaults.conf in your project root, this will be automatically be added to the global Spark defaults. For a list of valid key-value pairs, refer to Spark Configuration. The SPARK_HOME variable indicates the Apache Spark installation, and PATH adds the Apache Spark (SPARK_HOME) to the system paths. Once added, Spark will display a link pointing to /terms in the billing portal. Solved: Spark job fails in cluster mode. - Cloudera 2. Many applications display billing terms and conditions during checkout. Copy the following Apache Spark configuration, save it as spark_loganalytics_conf.txt, and fill in the following parameters: <LOG_ANALYTICS_WORKSPACE_ID>: Log Analytics workspace ID. This happens when the Spark config values are declared in the cluster configuration as well as in an init script.. Create custom versions of standard Spark configuration files such as spark-defaults.conf or spark-env.sh and put them together in a subdirectory, then create a configmap from those files: ls spark_config_dir log4j.properties metrics.properties spark-defaults.conf spark-env.sh oc create configmap mysparkconfig --from-file=spark_config_dir Spark Configuration Files - ASG spark-on-k8s-operator/user-guide.md at master - GitHub Solved: Config log4j in Spark - Cloudera Community - 34968 However, there may be instances when you need to check (or set) the values of specific Spark configuration properties in a notebook. There are more Spark configuration properties related to ORC files: The name of ORC implementation. Spark Spark Configuration Files Cloudera Machine Learning supports configuring Spark 2 properties on a per project basis with the spark-defaults.conf file. spark-defaults.conf, spark-env.sh, log4j.properties) using the optional field .spec . Spark Configuration Files - Cloudera Enables vectorized orc decoding in native implementation.