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Posted to issues@spark.apache.org by "zhoutai.zt (JIRA)" <ji...@apache.org> on 2018/04/02 07:53:00 UTC
[jira] [Created] (SPARK-23843) Deploy yarn meets incorrect
LOCALIZED_CONF_DIR
zhoutai.zt created SPARK-23843:
----------------------------------
Summary: Deploy yarn meets incorrect LOCALIZED_CONF_DIR
Key: SPARK-23843
URL: https://issues.apache.org/jira/browse/SPARK-23843
Project: Spark
Issue Type: Bug
Components: Deploy
Affects Versions: 2.3.0
Environment: spark-2.3.0-bin-hadoop2.7
Reporter: zhoutai.zt
We have implement a new Hadoop-compatible filesystem and run spark on it. The commands is:
{quote}./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn --deploy-mode cluster --executor-memory 1G --num-executors 1 /home/hadoop/app/spark-2.3.0-bin-hadoop2.7/examples/jars/spark-examples_2.11-2.3.0.jar 10
{quote}
The result is:
{quote}Exception in thread "main" org.apache.spark.SparkException: Application application_1522399820301_0020 finishe
d with failed status
at org.apache.spark.deploy.yarn.Client.run(Client.scala:1159)
{quote}
We set log level to DEBUG and find:
{quote}2018-04-02 09:36:09,603 DEBUG org.apache.spark.deploy.yarn.Client: __app__.jar -> resource \{ scheme: "dfs" host: "f-63a47d43wh98.cn-neimeng-env10-d01.dfs.aliyuncs.com" port: 10290 file: "/user/hadoop/.sparkStaging/application_1522399820301_0006/spark-examples_2.11-2.3.0.jar" } size: 1997548 timestamp: 1522632978000 type: FILE visibility: PRIVATE
2018-04-02 09:36:09,603 DEBUG org.apache.spark.deploy.yarn.Client: __spark_libs__ -> resource \{ scheme: "dfs" host: "f-63a47d43wh98.cn-neimeng-env10-d01.dfs.aliyuncs.com" port: 10290 file: "/user/hadoop/.sparkStaging/application_1522399820301_0006/__spark_libs__924155631753698276.zip" } size: 242801307 timestamp: 1522632977000 type: ARCHIVE visibility: PRIVATE
2018-04-02 09:36:09,603 DEBUG org.apache.spark.deploy.yarn.Client: __spark_conf__ -> resource \{ port: -1 file: "/user/hadoop/.sparkStaging/application_1522399820301_0006/__spark_conf__.zip" } size: 185531 timestamp: 1522632978000 type: ARCHIVE visibility: PRIVATE
{quote}
As shown, __app__.jar and __spark_libs__ ‘s information are all correct. BUT __spark_conf__ has no port, scheme.
We explore the source code, addResource appears two times in Client.scala
{code:java}
val destPath = copyFileToRemote(destDir, localPath, replication, symlinkCache)
val destFs = FileSystem.get(destPath.toUri(), hadoopConf)
distCacheMgr.addResource(
destFs, hadoopConf, destPath, localResources, resType, linkname, statCache,
appMasterOnly = appMasterOnly)
{code}
{code:java}
val remoteConfArchivePath = new Path(destDir, LOCALIZED_CONF_ARCHIVE) val remoteFs = FileSystem.get(remoteConfArchivePath.toUri(), hadoopConf) sparkConf.set(CACHED_CONF_ARCHIVE, remoteConfArchivePath.toString()) val localConfArchive = new Path(createConfArchive().toURI()) copyFileToRemote(destDir, localConfArchive, replication, symlinkCache, force = true, destName = Some(LOCALIZED_CONF_ARCHIVE)) // Manually add the config archive to the cache manager so that the AM is launched with // the proper files set up.
distCacheMgr.addResource( remoteFs, hadoopConf, remoteConfArchivePath, localResources, LocalResourceType.ARCHIVE, LOCALIZED_CONF_DIR, statCache, appMasterOnly = false)
{code}
As shown in the source code, the destPaths are differently constructed. And this is confirmed by self added debug log
{quote}2018-04-02 15:18:46,357 ERROR org.apache.hadoop.yarn.util.ConverterUtils: getYarnUrlFromURI URI:/user/root/.sparkStaging/application_1522399820301_0020/__spark_conf__.zip
2018-04-02 15:18:46,357 ERROR org.apache.hadoop.yarn.util.ConverterUtils: getYarnUrlFromURI URL:null; null;-1;null;/user/root/.sparkStaging/application_1522399820301_0020/__spark_conf__.zip{quote}
Log messages on YARN NM:
{quote}2018-04-02 09:36:11,958 WARN org.apache.hadoop.yarn.server.nodemanager.containermanager.container.ContainerImpl: Failed to parse resource-request
java.net.URISyntaxException: Expected scheme name at index 0: :///user/hadoop/.sparkStaging/application_1522399820301_0006/__spark_conf__.zip
{quote}
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