关于yarn的spark配置属性

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 spark1.2.0

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These are configs that are specific to Spark on YARN

Property Name	Default	Meaning
spark.yarn.applicationMaster.waitTries	10	ApplicationMaster 链接Spark master和SparkContext初始化的尝试次数
spark.yarn.submit.file.replication	3	上传到HDFS上的Spark jar、app jar登文件的备份数
spark.yarn.preserve.staging.files	false	spark任务结束后是否删除上传的Spark jar、app jar等文件
spark.yarn.scheduler.heartbeat.interval-ms	5000	Spark application master向YARN ResourceManager发送心跳的时间间隔
spark.yarn.max.executor.failures	numExecutors * 2  最小是3	executor 失败多少次就标记此应用的运行失败
park.yarn.historyServer.address	空	默认无，是可选项，格式为host.com:port，不带http://，是spark历史服务器的地址
spark.yarn.dist.archives	空	Comma separated list of archives to be extracted into the working directory of each executor
spark.yarn.dist.files	空	Comma-separated list of files to be placed in the working directory of each executor.
spark.yarn.executor.memoryOverhead	executorMemory * 0.07,  with minimum of 384	The amount of off heap memory (in megabytes) to be allocated per executor. This is memory that accounts for things like VM overheads, interned strings, other native overheads, etc. This tends to grow with the executor size (typically 6-10%).
spark.yarn.driver.memoryOverhead	driverMemory * 0.07 with minimum of 384	The amount of off heap memory (in megabytes) to be allocated per driver. This is memory that accounts for things like VM overheads, interned strings, other native overheads, etc. This tends to grow with the container size (typically 6-10%).
spark.yarn.queue	default	应用提交给yarn队列的名字
spark.yarn.jar	空	spark jar包的的路径，默认使用本地spark目录中的，也可以放到HDFS上
spark.yarn.access.namenodes	空	有安全认证的HDFS namenode的地址如：spark.yarn.access.namenodes=hdfs://nn1.com:8032,hdfs://nn2.com:8032
spark.yarn.appMasterEnv.[EnvironmentVariableName]	空	环境变量的设置
spark.yarn.containerLauncherMaxThreads	25	application master启动executor container的线程最大数量

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