Clusters

These articles can help you manage your Apache Spark clusters.

• How to calculate the number of cores in a cluster
• IP access list update returns INVALID_STATE
• Cannot apply updated cluster policy
• Cluster failed to launch
• Job fails due to cluster manager core instance request limit
• Admin user cannot restart cluster to run job
• Cluster slowdown due to Ganglia metrics filling root partition
• Failed to expand the EBS volume
• EBS leaked volumes
• Log delivery fails with AssumeRole
• Multi-part upload failure
• Persist Apache Spark CSV metrics to a DBFS location
• Replay Apache Spark events in a cluster
• Set Apache Hadoop core-site.xml properties
• Set executor log level
• Apache Spark job doesn’t start
• Auto termination is disabled when starting a job cluster
• Unexpected cluster termination
• How to configure single-core executors to run JNI libraries
• How to overwrite log4j configurations on Databricks clusters
• Adding a configuration setting overwrites all default spark.executor.extraJavaOptions settings
• Apache Spark executor memory allocation
• Apache Spark UI shows less than total node memory
• Configure a cluster to use a custom NTP server
• Enable GCM cipher suites