diff options
Diffstat (limited to 'yarn')
| -rw-r--r-- | yarn/src/main/scala/org/apache/spark/deploy/yarn/ClientArguments.scala | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/yarn/src/main/scala/org/apache/spark/deploy/yarn/ClientArguments.scala b/yarn/src/main/scala/org/apache/spark/deploy/yarn/ClientArguments.scala index 35e990602a..19d1bbff99 100644 --- a/yarn/src/main/scala/org/apache/spark/deploy/yarn/ClientArguments.scala +++ b/yarn/src/main/scala/org/apache/spark/deploy/yarn/ClientArguments.scala @@ -46,7 +46,7 @@ private[spark] class ClientArguments(args: Array[String], sparkConf: SparkConf) var keytab: String = null def isClusterMode: Boolean = userClass != null - private var driverMemory: Int = 512 // MB + private var driverMemory: Int = Utils.DEFAULT_DRIVER_MEM_MB // MB private var driverCores: Int = 1 private val driverMemOverheadKey = "spark.yarn.driver.memoryOverhead" private val amMemKey = "spark.yarn.am.memory" @@ -262,8 +262,9 @@ private[spark] class ClientArguments(args: Array[String], sparkConf: SparkConf) private def getUsageMessage(unknownParam: List[String] = null): String = { val message = if (unknownParam != null) s"Unknown/unsupported param $unknownParam\n" else "" + val mem_mb = Utils.DEFAULT_DRIVER_MEM_MB message + - """ + s""" |Usage: org.apache.spark.deploy.yarn.Client [options] |Options: | --jar JAR_PATH Path to your application's JAR file (required in yarn-cluster @@ -275,7 +276,7 @@ private[spark] class ClientArguments(args: Array[String], sparkConf: SparkConf) | Multiple invocations are possible, each will be passed in order. | --num-executors NUM Number of executors to start (Default: 2) | --executor-cores NUM Number of cores per executor (Default: 1). - | --driver-memory MEM Memory for driver (e.g. 1000M, 2G) (Default: 512 Mb) + | --driver-memory MEM Memory for driver (e.g. 1000M, 2G) (Default: $mem_mb Mb) | --driver-cores NUM Number of cores used by the driver (Default: 1). | --executor-memory MEM Memory per executor (e.g. 1000M, 2G) (Default: 1G) | --name NAME The name of your application (Default: Spark) |