即使在应用程序中设置核心，Spark UI 也显示 0 核心

我在运行 Spark Master url 之外的应用程序时遇到了一个奇怪的问题，其中 UI 无限期地报告“等待”的“状态”，因为无论我将核心计数配置为什么，“正在运行的应用程序”表下都会显示 0 个核心是。

我已经使用以下设置配置了我的应用程序，其中spark.max.cores = 2＆spark.default.cores = 2＆内存设置为3GB。该机器是具有超过 24 个核心的企业级服务器。

        SparkConf conf = new SparkConf()
            .setAppName(Properties.getString("SparkAppName"))
            .setMaster(Properties.getString("SparkMasterUrl"))
            .set("spark.executor.memory", Properties.getString("SparkExecMem"))
            .set("spark.cores.max",Properties.getString("SparkCores"))
            .set("spark.driver.memory",Properties.getString("SparkDriverMem"))
            .set("spark.eventLog.enabled", "true")
            .set("spark.deploy.defaultCores",Properties.getString("SparkDefaultCores"));

    //Set Spark context
    JavaSparkContext sc = new JavaSparkContext(conf);
    JavaStreamingContext jssc = new JavaStreamingContext(sc, new Duration(5000));

Spark WebUI 声明使用了零个核心并且无限期等待没有任务运行。该应用程序在运行时或核心期间也不使用任何内存，并且在启动时立即进入等待状态。

Spark-defaults.conf 
spark.yarn.max_executor.failures         3
spark.yarn.applicationMaster.waitTries   10
spark.history.kerberos.keytab    none
spark.yarn.preserve.staging.files        False
spark.yarn.submit.file.replication       3
spark.history.kerberos.principal         none
spark.yarn.historyServer.address         {removed}.{removed}.com:18080
spark.yarn.scheduler.heartbeat.interval-ms       5000
spark.yarn.queue         default
spark.yarn.containerLauncherMaxThreads   25
spark.yarn.driver.memoryOverhead         384
spark.history.ui.port    18080
spark.yarn.services      org.apache.spark.deploy.yarn.history.YarnHistoryService
spark.yarn.max.executor.failures         3
spark.driver.extraJavaOptions     -Dhdp.version=2.2.6.0-2800
spark.history.provider   org.apache.spark.deploy.yarn.history.YarnHistoryProvider
spark.yarn.am.extraJavaOptions    -Dhdp.version=2.2.6.0-2800
spark.yarn.executor.memoryOverhead       384

提交脚本

spark-submit --class {removed}.{removed}.{removed}.sentiment.MainApp --deploy-mode client /path/to/jar

编辑：2016 年 2 月 3 日使用 --master yarn-cluster 运行后，我在纱线日志错误中收到此错误。我还包括了更新的提交配置

提交配置

spark-submit --class com.removed.removed.sentiment.MainApp 
--master yarn-cluster --supervise 
/data04/dev/removed/spark/twitternpi/npi.sentiment-1.0-SNAPSHOT-shaded.jar 
--jars /usr/hdp/2.2.6.0-2800/spark/lib/datanucleus-core-3.2.10.jar,/usr/hdp/2.2.6.0-2800/spark/lib/datanucleus-api-jdo-3.2.6.jar,/usr/hdp/2.2.6.0-2800/spark/lib/datanucleus-rdbms-3.2.9.jar,/usr/hdp/2.2.6.0-2800/spark/lib/spark-1.2.1.2.2.6.0-2800-yarn-shuffle.jar,/usr/hdp/2.2.6.0-2800/spark/lib/spark-assembly-1.2.1.2.2.6.0-2800-hadoop2.6.0.2.2.6.0-2800.jar

错误信息

   ClassLoaderResolver for class "" gave error on creation : {1}
org.datanucleus.exceptions.NucleusUserException: ClassLoaderResolver for class "" gave error on creation : {1}
    at org.datanucleus.NucleusContext.getClassLoaderResolver(NucleusContext.java:1087)
    at org.datanucleus.PersistenceConfiguration.validatePropertyValue(PersistenceConfiguration.java:797)
    at org.datanucleus.PersistenceConfiguration.setProperty(PersistenceConfiguration.java:714)
    at org.datanucleus.PersistenceConfiguration.setPersistenceProperties(PersistenceConfiguration.java:693)
    at org.datanucleus.NucleusContext.<init>(NucleusContext.java:273)
    at org.datanucleus.NucleusContext.<init>(NucleusContext.java:247)
    at org.datanucleus.NucleusContext.<init>(NucleusContext.java:225)

当执行器所需的内存大小由以下设置时，我遇到了这个问题spark.executor.memory in spark-defaults.conf，比 AWS 节点上的更大。但由于你只设置了3.0 GB作为你的内存，我认为你的情况可能还有其他原因。