【发布时间】:2016-04-20 23:01:18
【问题描述】:
我在 IBM Bluemix 中使用 Spark 服务。我正在尝试使用 spark-submit.sh 脚本启动一段 Java 代码来执行一些 Spark 进程。
我的命令行是:
./spark-submit.sh --vcap ./VCAP.json --deploy-mode cluster --class org.apache.spark.examples.JavaSparkPi \
--master https://169.54.219.20 ~/Documents/Spark/JavaSparkPi.jar
我正在使用最新的 spark-submit.sh 版本(截至昨天)。
./spark-submit.sh --version
spark-submit.sh VERSION : '1.0.0.0.20160330.1'
这在几周前运行良好(使用旧的 spark-submit.sh),但现在我收到以下错误:
Downloading stdout_1461024849908170118
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 89 0 89 0 0 56 0 --:--:-- 0:00:01 --:--:-- 108
Failed to download from workdir/driver-20160418191414-0020-5e7fb175-6856-4980-97bc-8e8aa0d1f137/stdout to stdout_1461024849908170118
Downloading stderr_1461024849908170118
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 89 0 89 0 0 50 0 --:--:-- 0:00:01 --:--:-- 108
Failed to download from workdir/driver-20160418191414-0020-5e7fb175-6856-4980-97bc-8e8aa0d1f137/stderr to stderr_1461024849908170118
关于我做错了什么有什么想法吗?提前致谢。
编辑:
通过查看日志文件,我发现问题实际上不是在下载 stdout 和 stderr 时,而是在提交作业时。
{
"action" : "SubmissionStatusResponse",
"driverState" : "FAILED",
"message" : "Exception from the cluster:
org.apache.spark.SparkException: Failed to change container CWD
org.apache.spark.deploy.master.EgoApplicationManager.egoDriverExitCallback(EgoApplicationManager.scala:168)
org.apache.spark.deploy.master.MasterScheduleDelegatorDriver.onContainerExit(MasterScheduleDelegatorDriver.scala:144)
org.apache.spark.deploy.master.resourcemanager.ResourceManagerEGOSlot.handleActivityFinish(ResourceManagerEGOSlot.scala:555)
org.apache.spark.deploy.master.resourcemanager.ResourceManagerEGOSlot.callbackContainerStateChg(ResourceManagerEGOSlot.scala:525)
org.apache.spark.deploy.master.resourcemanager.ResourceCallbackManager$$anonfun$callbackContainerStateChg$1.apply(ResourceManager.scala:158)
org.apache.spark.deploy.master.resourcemanager.ResourceCallbackManager$$anonfun$callbackContainerStateChg$1.apply(ResourceManager.scala:157)
scala.Option.foreach(Option.scala:236)
org.apache.spark.deploy.master.resourcemanager.ResourceCallbackManager$.callbackContainerStateChg(ResourceManager.scala:157)",
"serverSparkVersion" : "1.6.0",
"submissionId" : "driver-20160420043532-0027-6e579720-2c9d-428f-b2c7-6613f4845146",
"success" : true
}
driverStatus is FAILED
编辑2:
最后,我在提交作业时遇到的问题仅通过创建一个全新的 Spark 服务实例就解决了。我的工作现在执行并在几秒钟后完成。
但我在尝试下载 stdout 和 stderr 文件时仍然收到错误消息。
Downloading stdout_1461156506108609180
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 90 0 90 0 0 61 0 --:--:-- 0:00:01 --:--:-- 125
Failed to download from workdir2/driver-20160420074922-0008-1400fc20-95c1-442d-9c37-32de3a7d1f0a/stdout to stdout_1461156506108609180
Downloading stderr_1461156506108609180
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 90 0 90 0 0 56 0 --:--:-- 0:00:01 --:--:-- 109
Failed to download from workdir2/driver-20160420074922-0008-1400fc20-95c1-442d-9c37-32de3a7d1f0a/stderr to stderr_1461156506108609180
有什么想法吗?
【问题讨论】: