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select报错 spark_spark-sql master on yarn 模式运行 select count(*) 报错日志

發布時間：2024/8/23 编程问答 36 豆豆

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啟動hive --service metastore

啟動 dfs yarn

[root@bigdatastorm bin]# ./spark-sql --master yarn --deploy-mode client --driver-memory 512m --executor-memory 512m --total-executor-cores 1

spark-sql>select count(*)? ;

Log

=======================================================

SLF4J: Class path contains multiple SLF4J bindings.

SLF4J: Found binding in [jar:file:/opt/hadoop-2.5.1/nm-local-dir/usercache/root/filecache/11/spark-assembly-1.6.0-hadoop2.6.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]

SLF4J: Found binding in [jar:file:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]

SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.

SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]

16/09/05 21:59:45 INFO yarn.ApplicationMaster: Registered signal handlers for [TERM, HUP, INT]

16/09/05 21:59:50 INFO yarn.ApplicationMaster: ApplicationAttemptId: appattempt_1473082245027_0003_000001

16/09/05 21:59:53 INFO spark.SecurityManager: Changing view acls to: root

16/09/05 21:59:53 INFO spark.SecurityManager: Changing modify acls to: root

16/09/05 21:59:53 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root)

16/09/05 21:59:55 INFO yarn.ApplicationMaster: Waiting for Spark driver to be reachable.

16/09/05 21:59:55 INFO yarn.ApplicationMaster: Driver now available: 192.168.184.188:45475

16/09/05 21:59:57 INFO yarn.ApplicationMaster$AMEndpoint: Add WebUI Filter. AddWebUIFilter(org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter,Map(PROXY_HOSTS -> bigdatastorm, PROXY_URI_BASES -> http://bigdatastorm:8088/proxy/application_1473082245027_0003),/proxy/application_1473082245027_0003)

16/09/05 21:59:57 INFO yarn.YarnRMClient: Registering the ApplicationMaster

16/09/05 21:59:58 INFO yarn.YarnAllocator: Will request 1 executor containers, each with 1 cores and 896 MB memory including 384 MB overhead

16/09/05 21:59:58 INFO yarn.YarnAllocator: Container request (host: Any, capability: <896 vcores:1>)896>

16/09/05 21:59:58 INFO yarn.ApplicationMaster: Started progress reporter thread with (heartbeat : 3000, initial allocation : 200) intervals

16/09/05 21:59:58 INFO impl.AMRMClientImpl: Received new token for : bigdatastorm:59055

16/09/05 21:59:58 INFO yarn.YarnAllocator: Launching container container_1473082245027_0003_01_000002 for on host bigdatastorm

16/09/05 21:59:58 INFO yarn.YarnAllocator: Launching ExecutorRunnable. driverUrl: spark://CoarseGrainedScheduler@192.168.184.188:45475, executorHostname: bigdatastorm

16/09/05 21:59:58 INFO yarn.YarnAllocator: Received 1 containers from YARN, launching executors on 1 of them.

16/09/05 21:59:58 INFO yarn.ExecutorRunnable: Starting Executor Container

16/09/05 21:59:58 INFO impl.ContainerManagementProtocolProxy: yarn.client.max-cached-nodemanagers-proxies : 0

16/09/05 21:59:58 INFO yarn.ExecutorRunnable: Setting up ContainerLaunchContext

16/09/05 21:59:58 INFO yarn.ExecutorRunnable: Preparing Local resources

16/09/05 21:59:59 INFO yarn.ExecutorRunnable: Prepared Local resources Map(__spark__.jar -> resource { scheme: "hdfs" host: "mycluster" port: -1 file: "/user/root/.sparkStaging/application_1473082245027_0003/spark-assembly-1.6.0-hadoop2.6.0.jar" } size: 187548272 timestamp: 1473083954792 type: FILE visibility: PRIVATE)

16/09/05 21:59:59 INFO yarn.ExecutorRunnable:

===============================================================================

YARN executor launch context:

env:

CLASSPATH -> {{PWD}}{{PWD}}/__spark__.jar$HADOOP_CONF_DIR$HADOOP_COMMON_HOME/share/hadoop/common/*$HADOOP_COMMON_HOME/share/hadoop/common/lib/*$HADOOP_HDFS_HOME/share/hadoop/hdfs/*$HADOOP_HDFS_HOME/share/hadoop/hdfs/lib/*$HADOOP_YARN_HOME/share/hadoop/yarn/*$HADOOP_YARN_HOME/share/hadoop/yarn/lib/*$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/*

SPARK_LOG_URL_STDERR -> http://bigdatastorm:8042/node/containerlogs/container_1473082245027_0003_01_000002/root/stderr?start=-4096

SPARK_YARN_STAGING_DIR -> .sparkStaging/application_1473082245027_0003

SPARK_YARN_CACHE_FILES_FILE_SIZES -> 187548272

SPARK_USER -> root

SPARK_YARN_CACHE_FILES_VISIBILITIES -> PRIVATE

SPARK_YARN_MODE -> true

SPARK_YARN_CACHE_FILES_TIME_STAMPS -> 1473083954792

SPARK_LOG_URL_STDOUT -> http://bigdatastorm:8042/node/containerlogs/container_1473082245027_0003_01_000002/root/stdout?start=-4096

SPARK_YARN_CACHE_FILES -> hdfs://mycluster/user/root/.sparkStaging/application_1473082245027_0003/spark-assembly-1.6.0-hadoop2.6.0.jar#__spark__.jar

command:

{{JAVA_HOME}}/bin/java -server -XX:OnOutOfMemoryError='kill %p' -Xms512m -Xmx512m -Djava.io.tmpdir={{PWD}}/tmp '-Dspark.driver.port=45475' -Dspark.yarn.app.container.log.dir= -XX:MaxPermSize=256m org.apache.spark.executor.CoarseGrainedExecutorBackend --driver-url spark://CoarseGrainedScheduler@192.168.184.188:45475 --executor-id 1 --hostname bigdatastorm --cores 1 --app-id application_1473082245027_0003 --user-class-path file:$PWD/__app__.jar 1> /stdout 2> /stderr

===============================================================================

16/09/05 21:59:59 INFO impl.ContainerManagementProtocolProxy: Opening proxy : bigdatastorm:59055

16/09/05 22:09:45 INFO yarn.YarnAllocator: Completed container container_1473082245027_0003_01_000002 on host: bigdatastorm (state: COMPLETE, exit status: 50)

16/09/05 22:09:45 WARN yarn.YarnAllocator: Container marked as failed: container_1473082245027_0003_01_000002 on host: bigdatastorm. Exit status: 50. Diagnostics: Exception from container-launch: ExitCodeException exitCode=50:

ExitCodeException exitCode=50:

at org.apache.hadoop.util.Shell.runCommand(Shell.java:538)

at org.apache.hadoop.util.Shell.run(Shell.java:455)

at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:702)

at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195)

at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:300)

at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:81)

at java.util.concurrent.FutureTask.run(FutureTask.java:262)

at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)

at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)

at java.lang.Thread.run(Thread.java:745)

Container exited with a non-zero exit code 50

16/09/05 22:09:48 INFO yarn.YarnAllocator: Will request 1 executor containers, each with 1 cores and 896 MB memory including 384 MB overhead

16/09/05 22:09:48 INFO yarn.YarnAllocator: Container request (host: Any, capability: <896 vcores:1>)896>

16/09/05 22:09:49 INFO yarn.YarnAllocator: Launching container container_1473082245027_0003_01_000003 for on host bigdatastorm

16/09/05 22:09:49 INFO yarn.YarnAllocator: Launching ExecutorRunnable. driverUrl: spark://CoarseGrainedScheduler@192.168.184.188:45475, executorHostname: bigdatastorm

16/09/05 22:09:49 INFO yarn.YarnAllocator: Received 1 containers from YARN, launching executors on 1 of them.

16/09/05 22:09:49 INFO yarn.ExecutorRunnable: Starting Executor Container

16/09/05 22:09:49 INFO impl.ContainerManagementProtocolProxy: yarn.client.max-cached-nodemanagers-proxies : 0

16/09/05 22:09:49 INFO yarn.ExecutorRunnable: Setting up ContainerLaunchContext

16/09/05 22:09:49 INFO yarn.ExecutorRunnable: Preparing Local resources

16/09/05 22:09:49 INFO yarn.ExecutorRunnable: Prepared Local resources Map(__spark__.jar -> resource { scheme: "hdfs" host: "mycluster" port: -1 file: "/user/root/.sparkStaging/application_1473082245027_0003/spark-assembly-1.6.0-hadoop2.6.0.jar" } size: 187548272 timestamp: 1473083954792 type: FILE visibility: PRIVATE)

16/09/05 22:09:49 INFO yarn.ExecutorRunnable:

===============================================================================

YARN executor launch context:

env:

SPARK_LOG_URL_STDERR -> http://bigdatastorm:8042/node/containerlogs/container_1473082245027_0003_01_000003/root/stderr?start=-4096

SPARK_YARN_STAGING_DIR -> .sparkStaging/application_1473082245027_0003

SPARK_YARN_CACHE_FILES_FILE_SIZES -> 187548272

SPARK_USER -> root

SPARK_YARN_CACHE_FILES_VISIBILITIES -> PRIVATE

SPARK_YARN_MODE -> true

SPARK_YARN_CACHE_FILES_TIME_STAMPS -> 1473083954792

SPARK_LOG_URL_STDOUT -> http://bigdatastorm:8042/node/containerlogs/container_1473082245027_0003_01_000003/root/stdout?start=-4096

SPARK_YARN_CACHE_FILES -> hdfs://mycluster/user/root/.sparkStaging/application_1473082245027_0003/spark-assembly-1.6.0-hadoop2.6.0.jar#__spark__.jar

command:

{{JAVA_HOME}}/bin/java -server -XX:OnOutOfMemoryError='kill %p' -Xms512m -Xmx512m -Djava.io.tmpdir={{PWD}}/tmp '-Dspark.driver.port=45475' -Dspark.yarn.app.container.log.dir= -XX:MaxPermSize=256m org.apache.spark.executor.CoarseGrainedExecutorBackend --driver-url spark://CoarseGrainedScheduler@192.168.184.188:45475 --executor-id 2 --hostname bigdatastorm --cores 1 --app-id application_1473082245027_0003 --user-class-path file:$PWD/__app__.jar 1> /stdout 2> /stderr

===============================================================================

16/09/05 22:09:49 INFO impl.ContainerManagementProtocolProxy: Opening proxy : bigdatastorm:59055

16/09/05 22:12:14 INFO yarn.YarnAllocator: Completed container container_1473082245027_0003_01_000003 on host: bigdatastorm (state: COMPLETE, exit status: 1)

16/09/05 22:12:14 WARN yarn.YarnAllocator: Container marked as failed: container_1473082245027_0003_01_000003 on host: bigdatastorm. Exit status: 1. Diagnostics: Exception from container-launch: ExitCodeException exitCode=1:

ExitCodeException exitCode=1:

at org.apache.hadoop.util.Shell.runCommand(Shell.java:538)

at org.apache.hadoop.util.Shell.run(Shell.java:455)

at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:702)

at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195)

at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:300)

at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:81)

at java.util.concurrent.FutureTask.run(FutureTask.java:262)

at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)

at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)

at java.lang.Thread.run(Thread.java:745)

Container exited with a non-zero exit code 1

16/09/05 22:12:17 INFO yarn.YarnAllocator: Will request 1 executor containers, each with 1 cores and 896 MB memory including 384 MB overhead

16/09/05 22:12:17 INFO yarn.YarnAllocator: Container request (host: Any, capability: <896 vcores:1>)896>

16/09/05 22:12:18 INFO impl.AMRMClientImpl: Received new token for : bigdatahadoop:39892

16/09/05 22:12:18 INFO yarn.YarnAllocator: Launching container container_1473082245027_0003_01_000004 for on host bigdatahadoop

16/09/05 22:12:18 INFO yarn.YarnAllocator: Launching ExecutorRunnable. driverUrl: spark://CoarseGrainedScheduler@192.168.184.188:45475, executorHostname: bigdatahadoop

16/09/05 22:12:18 INFO yarn.YarnAllocator: Received 1 containers from YARN, launching executors on 1 of them.

16/09/05 22:12:18 INFO yarn.ExecutorRunnable: Starting Executor Container

16/09/05 22:12:18 INFO impl.ContainerManagementProtocolProxy: yarn.client.max-cached-nodemanagers-proxies : 0

16/09/05 22:12:18 INFO yarn.ExecutorRunnable: Setting up ContainerLaunchContext

16/09/05 22:12:18 INFO yarn.ExecutorRunnable: Preparing Local resources

16/09/05 22:12:18 INFO yarn.ExecutorRunnable: Prepared Local resources Map(__spark__.jar -> resource { scheme: "hdfs" host: "mycluster" port: -1 file: "/user/root/.sparkStaging/application_1473082245027_0003/spark-assembly-1.6.0-hadoop2.6.0.jar" } size: 187548272 timestamp: 1473083954792 type: FILE visibility: PRIVATE)

16/09/05 22:12:18 INFO yarn.ExecutorRunnable:

===============================================================================

YARN executor launch context:

env:

SPARK_LOG_URL_STDERR -> http://bigdatahadoop:8042/node/containerlogs/container_1473082245027_0003_01_000004/root/stderr?start=-4096

SPARK_YARN_STAGING_DIR -> .sparkStaging/application_1473082245027_0003

SPARK_YARN_CACHE_FILES_FILE_SIZES -> 187548272

SPARK_USER -> root

SPARK_YARN_CACHE_FILES_VISIBILITIES -> PRIVATE

SPARK_YARN_MODE -> true

SPARK_YARN_CACHE_FILES_TIME_STAMPS -> 1473083954792

SPARK_LOG_URL_STDOUT -> http://bigdatahadoop:8042/node/containerlogs/container_1473082245027_0003_01_000004/root/stdout?start=-4096

SPARK_YARN_CACHE_FILES -> hdfs://mycluster/user/root/.sparkStaging/application_1473082245027_0003/spark-assembly-1.6.0-hadoop2.6.0.jar#__spark__.jar

command:

{{JAVA_HOME}}/bin/java -server -XX:OnOutOfMemoryError='kill %p' -Xms512m -Xmx512m -Djava.io.tmpdir={{PWD}}/tmp '-Dspark.driver.port=45475' -Dspark.yarn.app.container.log.dir= -XX:MaxPermSize=256m org.apache.spark.executor.CoarseGrainedExecutorBackend --driver-url spark://CoarseGrainedScheduler@192.168.184.188:45475 --executor-id 3 --hostname bigdatahadoop --cores 1 --app-id application_1473082245027_0003 --user-class-path file:$PWD/__app__.jar 1> /stdout 2> /stderr

===============================================================================

16/09/05 22:12:18 INFO impl.ContainerManagementProtocolProxy: Opening proxy : bigdatahadoop:39892

16/09/05 22:14:36 INFO yarn.YarnAllocator: Completed container container_1473082245027_0003_01_000004 on host: bigdatahadoop (state: COMPLETE, exit status: 1)

16/09/05 22:14:36 WARN yarn.YarnAllocator: Container marked as failed: container_1473082245027_0003_01_000004 on host: bigdatahadoop. Exit status: 1. Diagnostics: Exception from container-launch: ExitCodeException exitCode=1:

ExitCodeException exitCode=1:

at org.apache.hadoop.util.Shell.runCommand(Shell.java:538)

at org.apache.hadoop.util.Shell.run(Shell.java:455)

at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:702)

at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195)

at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:300)

at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:81)

at java.util.concurrent.FutureTask.run(FutureTask.java:262)

at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)

at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)

at java.lang.Thread.run(Thread.java:745)

Container exited with a non-zero exit code 1

16/09/05 22:14:39 INFO yarn.ApplicationMaster: Final app status: FAILED, exitCode: 11, (reason: Max number of executor failures (3) reached)

16/09/05 22:14:42 INFO util.ShutdownHookManager: Shutdown hook called

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