spark.yarn.credentials.renewalTime (default: Long.MaxValue ms) is an internal setting for the time of the next credentials renewal.

See prepareLocalResources.

spark.yarn.credentials.updateTime (default: Long.MaxValue ms) is an internal setting for the time of the next credentials update.

spark.yarn.rolledLog.includePattern

spark.yarn.rolledLog.excludePattern

spark.yarn.am.nodeLabelExpression

spark.yarn.am.attemptFailuresValidityInterval

spark.yarn.tags

spark.yarn.am.extraLibraryPath

spark.yarn.am.extraJavaOptions

spark.yarn.scheduler.initial-allocation.interval (default: 200ms) controls the initial allocation interval.

It is used when ApplicationMaster is instantiated.

spark.yarn.scheduler.heartbeat.interval-ms (default: 3s) is the heartbeat interval to YARN ResourceManager.

It is used when ApplicationMaster is instantiated.

spark.yarn.max.executor.failures is an optional setting that sets the maximum number of executor failures before…​TK

It is used when ApplicationMaster is instantiated.

spark.yarn.maxAppAttempts is the maximum number of attempts to register ApplicationMaster before deploying a Spark application to YARN is deemed failed.

It is used when YarnRMClient computes getMaxRegAttempts.

spark.yarn.archive is the location of the archive containing jars files with Spark classes. It cannot be a local: URI.

It is used to populate CLASSPATH for ApplicationMaster and executors.

spark.yarn.queue (default: default) is the name of the YARN resource queue that Client uses to submit a Spark application to.

You can specify the value using spark-submit’s --queue command-line argument.

The value is used to set YARN’s ApplicationSubmissionContext.setQueue.

spark.yarn.jars is the location of the Spark jars.

It is used to populate the CLASSPATH for ApplicationMaster and ExecutorRunnables (when spark.yarn.archive is not defined).

spark.yarn.report.interval (default: 1s) is the interval (in milliseconds) between reports of the current application status.

It is used in Client.monitorApplication.

spark.yarn.dist.jars (default: empty) is a collection of additional jars to distribute.

It is used when Client distributes additional resources as specified using --jars command-line option for spark-submit.

spark.yarn.dist.files (default: empty) is a collection of additional files to distribute.

It is used when Client distributes additional resources as specified using --files command-line option for spark-submit.

spark.yarn.dist.archives (default: empty) is a collection of additional archives to distribute.

It is used when Client distributes additional resources as specified using --archives command-line option for spark-submit.

spark.yarn.principal — See the corresponding --principal command-line option for spark-submit.

spark.yarn.keytab — See the corresponding --keytab command-line option for spark-submit.

spark.yarn.submit.file.replication is the replication factor (number) for files uploaded by Spark to HDFS.

spark.yarn.config.gatewayPath (default: null) is the root of configuration paths that is present on gateway nodes, and will be replaced with the corresponding path in cluster machines.

It is used when Client resolves a path to be YARN NodeManager-aware.

spark.yarn.config.replacementPath (default: null) is the path to use as a replacement for spark.yarn.config.gatewayPath when launching processes in the YARN cluster.

It is used when Client resolves a path to be YARN NodeManager-aware.

spark.yarn.historyServer.address is the optional address of the History Server.

spark.yarn.access.namenodes (default: empty) is a list of extra NameNode URLs for which to request delegation tokens. The NameNode that hosts fs.defaultFS does not need to be listed here.

spark.yarn.cache.types is an internal setting…​

spark.yarn.cache.visibilities is an internal setting…​

spark.yarn.cache.timestamps is an internal setting…​

spark.yarn.cache.filenames is an internal setting…​

spark.yarn.cache.sizes is an internal setting…​

spark.yarn.cache.confArchive is an internal setting…​

spark.yarn.secondary.jars is…​

spark.yarn.executor.nodeLabelExpression is a node label expression for executors.

spark.yarn.containerLauncherMaxThreads (default: 25)…​FIXME

spark.yarn.executor.failuresValidityInterval (default: -1L) is an interval (in milliseconds) after which Executor failures will be considered independent and not accumulate towards the attempt count.

spark.yarn.submit.waitAppCompletion (default: true) is a flag to control whether to wait for the application to finish before exiting the launcher process in cluster mode.

spark.yarn.executor.memoryOverhead (in MiBs) is an optional setting for the executor memory overhead (in addition to spark.executor.memory) when requesting YARN containers from a YARN cluster.

If not set, Client uses 10% of the executor memory or 384 whatever is larger.

spark.yarn.am.cores (default: 1) sets the number of CPU cores for ApplicationMaster’s JVM.

spark.yarn.driver.memoryOverhead (in MiBs)

spark.yarn.am.memoryOverhead (in MiBs)

spark.yarn.am.memory (default: 512m) sets the memory size of ApplicationMaster’s JVM (in MiBs)

spark.yarn.stagingDir is a staging directory used while submitting applications.

spark.yarn.preserve.staging.files (default: false) controls whether to preserve temporary files in a staging directory (as pointed by spark.yarn.stagingDir).

spark.yarn.credentials.file …​

spark.yarn.launchContainers (default: true) is a flag used for testing only so YarnAllocator does not run launch ExecutorRunnables on allocated YARN containers.