pysparkシェルは

Pysparkシェル疑似分散モードで起動されていない疑似分散モードで起動しません。しかし、スタンドアローン版がリリースされています。私は以下のpysparkシェルは

$pyspark

と

$ pyspark --master local[2]

ではなく、コマンドを入力するとき

私が火花を実行することができます私が実行したときに、この1 - 私はHadoopの擬似にインストールされている

$ pyspark --master yarn-client

分散モード、dfs.shとyarn.shを開始しました。彼らは失敗しましたPysparkアプリケーションのログです。ここ

正常に動作しているように見える - ログイン

$ yarn logs -applicationId application_1487575592818_000117/02/19 23:28:13 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032 
17/02/19 23:28:13 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 


Container: container_1487575592818_0001_01_000003 on aamir-UX303LAB_45668 
=========================================================================== 
LogType:stderr 
Log Upload Time:Sun Feb 19 23:27:10 -0800 2017 
LogLength:0 
Log Contents: 
End of LogType:stderr 

LogType:stdout 
Log Upload Time:Sun Feb 19 23:27:10 -0800 2017 
LogLength:0 
Log Contents: 
End of LogType:stdout 



Container: container_1487575592818_0001_01_000002 on aamir-UX303LAB_45668 
=========================================================================== 
LogType:stderr 
Log Upload Time:Sun Feb 19 23:27:10 -0800 2017 
LogLength:972 
Log Contents: 
SLF4J: Class path contains multiple SLF4J bindings. 
SLF4J: Found binding in [jar:file:/tmp/hadoop-hadoop/nm-local-dir/usercache/hadoop/filecache/11/__spark_libs__5646685820587492749.zip/slf4j-log4j12-1.7.16.jar!/org/slf4j/impl/StaticLoggerBinder.class] 
SLF4J: Found binding in [jar:file:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.10.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] 
17/02/19 23:27:04 INFO executor.CoarseGrainedExecutorBackend: Started daemon with process name: [email protected] 
17/02/19 23:27:04 INFO util.SignalUtils: Registered signal handler for TERM 
17/02/19 23:27:04 INFO util.SignalUtils: Registered signal handler for HUP 
17/02/19 23:27:04 INFO util.SignalUtils: Registered signal handler for INT 
17/02/19 23:27:04 ERROR executor.CoarseGrainedExecutorBackend: RECEIVED SIGNAL TERM 
End of LogType:stderr 

LogType:stdout 
Log Upload Time:Sun Feb 19 23:27:10 -0800 2017 
LogLength:0 
Log Contents: 
End of LogType:stdout 



Container: container_1487575592818_0001_02_000003 on aamir-UX303LAB_45668 
=========================================================================== 
LogType:stderr 
Log Upload Time:Sun Feb 19 23:27:10 -0800 2017 
LogLength:0 
Log Contents: 
End of LogType:stderr 

LogType:stdout 
Log Upload Time:Sun Feb 19 23:27:10 -0800 2017 
LogLength:0 
Log Contents: 
End of LogType:stdout 



Container: container_1487575592818_0001_01_000001 on aamir-UX303LAB_45668 
=========================================================================== 
LogType:stderr 
Log Upload Time:Sun Feb 19 23:27:10 -0800 2017 
LogLength:9718 
Log Contents: 
SLF4J: Class path contains multiple SLF4J bindings. 
SLF4J: Found binding in [jar:file:/tmp/hadoop-hadoop/nm-local-dir/usercache/hadoop/filecache/11/__spark_libs__5646685820587492749.zip/slf4j-log4j12-1.7.16.jar!/org/slf4j/impl/StaticLoggerBinder.class] 
SLF4J: Found binding in [jar:file:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.10.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] 
17/02/19 23:26:57 INFO util.SignalUtils: Registered signal handler for TERM 
17/02/19 23:26:57 INFO util.SignalUtils: Registered signal handler for HUP 
17/02/19 23:26:57 INFO util.SignalUtils: Registered signal handler for INT 
17/02/19 23:26:58 INFO yarn.ApplicationMaster: Preparing Local resources 
17/02/19 23:26:59 INFO yarn.ApplicationMaster: Prepared Local resources Map(pyspark.zip -> resource { scheme: "hdfs" host: "localhost" port: 9000 file: "/user/hadoop/.sparkStaging/application_1487575592818_0001/pyspark.zip" } size: 438753 timestamp: 1487575611551 type: FILE visibility: PRIVATE, __spark_libs__ -> resource { scheme: "hdfs" host: "localhost" port: 9000 file: "/user/hadoop/.sparkStaging/application_1487575592818_0001/__spark_libs__5646685820587492749.zip" } size: 192507295 timestamp: 1487575611386 type: ARCHIVE visibility: PRIVATE, __spark_conf__ -> resource { scheme: "hdfs" host: "localhost" port: 9000 file: "/user/hadoop/.sparkStaging/application_1487575592818_0001/__spark_conf__.zip" } size: 84006 timestamp: 1487575611659 type: ARCHIVE visibility: PRIVATE, py4j-0.10.3-src.zip -> resource { scheme: "hdfs" host: "localhost" port: 9000 file: "/user/hadoop/.sparkStaging/application_1487575592818_0001/py4j-0.10.3-src.zip" } size: 91275 timestamp: 1487575611588 type: FILE visibility: PRIVATE) 
17/02/19 23:26:59 INFO yarn.ApplicationMaster: ApplicationAttemptId: appattempt_1487575592818_0001_000001 
17/02/19 23:26:59 INFO spark.SecurityManager: Changing view acls to: hadoop 
17/02/19 23:26:59 INFO spark.SecurityManager: Changing modify acls to: hadoop 
17/02/19 23:26:59 INFO spark.SecurityManager: Changing view acls groups to: 
17/02/19 23:26:59 INFO spark.SecurityManager: Changing modify acls groups to: 
17/02/19 23:26:59 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); groups with view permissions: Set(); users with modify permissions: Set(hadoop); groups with modify permissions: Set() 
17/02/19 23:26:59 WARN util.Utils: Your hostname, aamir-UX303LAB resolves to a loopback address: 127.0.1.1; using 10.0.0.240 instead (on interface wlan0) 
17/02/19 23:26:59 WARN util.Utils: Set SPARK_LOCAL_IP if you need to bind to another address 
17/02/19 23:27:00 INFO yarn.ApplicationMaster: Waiting for Spark driver to be reachable. 
17/02/19 23:27:00 INFO yarn.ApplicationMaster: Driver now available: 10.0.0.240:45598 
17/02/19 23:27:00 INFO client.TransportClientFactory: Successfully created connection to /10.0.0.240:45598 after 117 ms (0 ms spent in bootstraps) 
17/02/19 23:27:00 INFO yarn.ApplicationMaster$AMEndpoint: Add WebUI Filter. AddWebUIFilter(org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter,Map(PROXY_HOSTS -> aamir-UX303LAB, PROXY_URI_BASES -> http://aamir-UX303LAB:8088/proxy/application_1487575592818_0001),/proxy/application_1487575592818_0001) 
17/02/19 23:27:00 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8030 
17/02/19 23:27:00 INFO yarn.YarnRMClient: Registering the ApplicationMaster 
17/02/19 23:27:00 INFO yarn.YarnAllocator: Will request 2 executor containers, each with 1 cores and 1408 MB memory including 384 MB overhead 
17/02/19 23:27:00 INFO yarn.YarnAllocator: Canceled 0 container requests (locality no longer needed) 
17/02/19 23:27:00 INFO yarn.YarnAllocator: Submitted container request (host: Any, capability: <memory:1408, vCores:1>) 
17/02/19 23:27:00 INFO yarn.YarnAllocator: Submitted container request (host: Any, capability: <memory:1408, vCores:1>) 
17/02/19 23:27:00 INFO yarn.ApplicationMaster: Started progress reporter thread with (heartbeat : 3000, initial allocation : 200) intervals 
17/02/19 23:27:01 INFO impl.AMRMClientImpl: Received new token for : aamir-UX303LAB:45668 
17/02/19 23:27:01 INFO yarn.YarnAllocator: Launching container container_1487575592818_0001_01_000002 for on host aamir-UX303LAB 
17/02/19 23:27:01 INFO yarn.YarnAllocator: Launching ExecutorRunnable. driverUrl: spark://[email protected]:45598, executorHostname: aamir-UX303LAB 
17/02/19 23:27:01 INFO yarn.YarnAllocator: Received 1 containers from YARN, launching executors on 1 of them. 
17/02/19 23:27:01 INFO yarn.ExecutorRunnable: Starting Executor Container 
17/02/19 23:27:01 INFO impl.ContainerManagementProtocolProxy: yarn.client.max-cached-nodemanagers-proxies : 0 
17/02/19 23:27:01 INFO yarn.ExecutorRunnable: Setting up ContainerLaunchContext 
17/02/19 23:27:01 INFO yarn.ExecutorRunnable: 
=============================================================================== 
YARN executor launch context: 
env: 
CLASSPATH -> {{PWD}}<CPS>{{PWD}}/__spark_conf__<CPS>{{PWD}}/__spark_libs__/*<CPS>$HADOOP_CONF_DIR<CPS>$HADOOP_COMMON_HOME/share/hadoop/common/*<CPS>$HADOOP_COMMON_HOME/share/hadoop/common/lib/*<CPS>$HADOOP_HDFS_HOME/share/hadoop/hdfs/*<CPS>$HADOOP_HDFS_HOME/share/hadoop/hdfs/lib/*<CPS>$HADOOP_YARN_HOME/share/hadoop/yarn/*<CPS>$HADOOP_YARN_HOME/share/hadoop/yarn/lib/*<CPS>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*<CPS>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/* 
SPARK_LOG_URL_STDERR -> http://aamir-UX303LAB:8042/node/containerlogs/container_1487575592818_0001_01_000002/hadoop/stderr?start=-4096 
SPARK_YARN_STAGING_DIR -> hdfs://localhost:9000/user/hadoop/.sparkStaging/application_1487575592818_0001 
SPARK_USER -> hadoop 
SPARK_YARN_MODE -> true 
PYTHONPATH -> /usr/local/spark/python/lib/py4j-0.10.3-src.zip:/usr/local/spark/python/:<CPS>{{PWD}}/pyspark.zip<CPS>{{PWD}}/py4j-0.10.3-src.zip 
SPARK_LOG_URL_STDOUT -> http://aamir-UX303LAB:8042/node/containerlogs/container_1487575592818_0001_01_000002/hadoop/stdout?start=-4096 

command: 
{{JAVA_HOME}}/bin/java -server -Xmx1024m -Djava.io.tmpdir={{PWD}}/tmp '-Dspark.driver.port=45598' -Dspark.yarn.app.container.log.dir=<LOG_DIR> -XX:OnOutOfMemoryError='kill %p' org.apache.spark.executor.CoarseGrainedExecutorBackend --driver-url spark://[email protected]:45598 --executor-id 1 --hostname aamir-UX303LAB --cores 1 --app-id application_1487575592818_0001 --user-class-path file:$PWD/__app__.jar 1> <LOG_DIR>/stdout 2> <LOG_DIR>/stderr 
=============================================================================== 

17/02/19 23:27:01 INFO impl.ContainerManagementProtocolProxy: Opening proxy : aamir-UX303LAB:45668 
17/02/19 23:27:02 INFO yarn.YarnAllocator: Launching container container_1487575592818_0001_01_000003 for on host aamir-UX303LAB 
17/02/19 23:27:02 INFO yarn.YarnAllocator: Launching ExecutorRunnable. driverUrl: spark://[email protected]:45598, executorHostname: aamir-UX303LAB 
17/02/19 23:27:02 INFO yarn.YarnAllocator: Received 1 containers from YARN, launching executors on 1 of them. 
17/02/19 23:27:02 INFO yarn.ExecutorRunnable: Starting Executor Container 
17/02/19 23:27:02 INFO impl.ContainerManagementProtocolProxy: yarn.client.max-cached-nodemanagers-proxies : 0 
17/02/19 23:27:02 INFO yarn.ExecutorRunnable: Setting up ContainerLaunchContext 
17/02/19 23:27:02 INFO yarn.ExecutorRunnable: 
=============================================================================== 
YARN executor launch context: 
env: 
CLASSPATH -> {{PWD}}<CPS>{{PWD}}/__spark_conf__<CPS>{{PWD}}/__spark_libs__/*<CPS>$HADOOP_CONF_DIR<CPS>$HADOOP_COMMON_HOME/share/hadoop/common/*<CPS>$HADOOP_COMMON_HOME/share/hadoop/common/lib/*<CPS>$HADOOP_HDFS_HOME/share/hadoop/hdfs/*<CPS>$HADOOP_HDFS_HOME/share/hadoop/hdfs/lib/*<CPS>$HADOOP_YARN_HOME/share/hadoop/yarn/*<CPS>$HADOOP_YARN_HOME/share/hadoop/yarn/lib/*<CPS>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*<CPS>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/* 
SPARK_LOG_URL_STDERR -> http://aamir-UX303LAB:8042/node/containerlogs/container_1487575592818_0001_01_000003/hadoop/stderr?start=-4096 
SPARK_YARN_STAGING_DIR -> hdfs://localhost:9000/user/hadoop/.sparkStaging/application_1487575592818_0001 
SPARK_USER -> hadoop 
SPARK_YARN_MODE -> true 
PYTHONPATH -> /usr/local/spark/python/lib/py4j-0.10.3-src.zip:/usr/local/spark/python/:<CPS>{{PWD}}/pyspark.zip<CPS>{{PWD}}/py4j-0.10.3-src.zip 
SPARK_LOG_URL_STDOUT -> http://aamir-UX303LAB:8042/node/containerlogs/container_1487575592818_0001_01_000003/hadoop/stdout?start=-4096 

command: 
{{JAVA_HOME}}/bin/java -server -Xmx1024m -Djava.io.tmpdir={{PWD}}/tmp '-Dspark.driver.port=45598' -Dspark.yarn.app.container.log.dir=<LOG_DIR> -XX:OnOutOfMemoryError='kill %p' org.apache.spark.executor.CoarseGrainedExecutorBackend --driver-url spark://[email protected]:45598 --executor-id 2 --hostname aamir-UX303LAB --cores 1 --app-id application_1487575592818_0001 --user-class-path file:$PWD/__app__.jar 1> <LOG_DIR>/stdout 2> <LOG_DIR>/stderr 
=============================================================================== 

17/02/19 23:27:02 INFO impl.ContainerManagementProtocolProxy: Opening proxy : aamir-UX303LAB:45668 
17/02/19 23:27:03 ERROR yarn.ApplicationMaster: RECEIVED SIGNAL TERM 
17/02/19 23:27:03 INFO yarn.ApplicationMaster: Final app status: UNDEFINED, exitCode: 16, (reason: Shutdown hook called before final status was reported.) 
17/02/19 23:27:03 INFO util.ShutdownHookManager: Shutdown hook called 
End of LogType:stderr 

LogType:stdout 
Log Upload Time:Sun Feb 19 23:27:10 -0800 2017 
LogLength:0 
Log Contents: 
End of LogType:stdout 



Container: container_1487575592818_0001_02_000002 on aamir-UX303LAB_45668 
=========================================================================== 
LogType:stderr 
Log Upload Time:Sun Feb 19 23:27:10 -0800 2017 
LogLength:0 
Log Contents: 
End of LogType:stderr 

LogType:stdout 
Log Upload Time:Sun Feb 19 23:27:10 -0800 2017 
LogLength:0 
Log Contents: 
End of LogType:stdout 



Container: container_1487575592818_0001_02_000001 on aamir-UX303LAB_45668 
=========================================================================== 
LogType:stderr 
Log Upload Time:Sun Feb 19 23:27:10 -0800 2017 
LogLength:10631 
Log Contents: 
SLF4J: Class path contains multiple SLF4J bindings. 
SLF4J: Found binding in [jar:file:/tmp/hadoop-hadoop/nm-local-dir/usercache/hadoop/filecache/11/__spark_libs__5646685820587492749.zip/slf4j-log4j12-1.7.16.jar!/org/slf4j/impl/StaticLoggerBinder.class] 
SLF4J: Found binding in [jar:file:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.10.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] 
17/02/19 23:27:05 INFO util.SignalUtils: Registered signal handler for TERM 
17/02/19 23:27:05 INFO util.SignalUtils: Registered signal handler for HUP 
17/02/19 23:27:05 INFO util.SignalUtils: Registered signal handler for INT 
17/02/19 23:27:06 INFO yarn.ApplicationMaster: Preparing Local resources 
17/02/19 23:27:07 INFO yarn.ApplicationMaster: Prepared Local resources Map(pyspark.zip -> resource { scheme: "hdfs" host: "localhost" port: 9000 file: "/user/hadoop/.sparkStaging/application_1487575592818_0001/pyspark.zip" } size: 438753 timestamp: 1487575611551 type: FILE visibility: PRIVATE, __spark_libs__ -> resource { scheme: "hdfs" host: "localhost" port: 9000 file: "/user/hadoop/.sparkStaging/application_1487575592818_0001/__spark_libs__5646685820587492749.zip" } size: 192507295 timestamp: 1487575611386 type: ARCHIVE visibility: PRIVATE, __spark_conf__ -> resource { scheme: "hdfs" host: "localhost" port: 9000 file: "/user/hadoop/.sparkStaging/application_1487575592818_0001/__spark_conf__.zip" } size: 84006 timestamp: 1487575611659 type: ARCHIVE visibility: PRIVATE, py4j-0.10.3-src.zip -> resource { scheme: "hdfs" host: "localhost" port: 9000 file: "/user/hadoop/.sparkStaging/application_1487575592818_0001/py4j-0.10.3-src.zip" } size: 91275 timestamp: 1487575611588 type: FILE visibility: PRIVATE) 
17/02/19 23:27:07 INFO yarn.ApplicationMaster: ApplicationAttemptId: appattempt_1487575592818_0001_000002 
17/02/19 23:27:07 INFO spark.SecurityManager: Changing view acls to: hadoop 
17/02/19 23:27:07 INFO spark.SecurityManager: Changing modify acls to: hadoop 
17/02/19 23:27:07 INFO spark.SecurityManager: Changing view acls groups to: 
17/02/19 23:27:07 INFO spark.SecurityManager: Changing modify acls groups to: 
17/02/19 23:27:07 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(hadoop); groups with view permissions: Set(); users with modify permissions: Set(hadoop); groups with modify permissions: Set() 
17/02/19 23:27:07 WARN util.Utils: Your hostname, aamir-UX303LAB resolves to a loopback address: 127.0.1.1; using 10.0.0.240 instead (on interface wlan0) 
17/02/19 23:27:07 WARN util.Utils: Set SPARK_LOCAL_IP if you need to bind to another address 
17/02/19 23:27:07 INFO yarn.ApplicationMaster: Waiting for Spark driver to be reachable. 
17/02/19 23:27:07 INFO yarn.ApplicationMaster: Driver now available: 10.0.0.240:45598 
17/02/19 23:27:08 INFO client.TransportClientFactory: Successfully created connection to /10.0.0.240:45598 after 104 ms (0 ms spent in bootstraps) 
17/02/19 23:27:08 INFO yarn.ApplicationMaster$AMEndpoint: Add WebUI Filter. AddWebUIFilter(org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter,Map(PROXY_HOSTS -> aamir-UX303LAB, PROXY_URI_BASES -> http://aamir-UX303LAB:8088/proxy/application_1487575592818_0001),/proxy/application_1487575592818_0001) 
17/02/19 23:27:08 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8030 
17/02/19 23:27:08 INFO yarn.YarnRMClient: Registering the ApplicationMaster 
17/02/19 23:27:08 INFO yarn.YarnAllocator: Will request 2 executor containers, each with 1 cores and 1408 MB memory including 384 MB overhead 
17/02/19 23:27:08 INFO yarn.YarnAllocator: Canceled 0 container requests (locality no longer needed) 
17/02/19 23:27:08 INFO yarn.YarnAllocator: Submitted container request (host: Any, capability: <memory:1408, vCores:1>) 
17/02/19 23:27:08 INFO yarn.YarnAllocator: Submitted container request (host: Any, capability: <memory:1408, vCores:1>) 
17/02/19 23:27:08 INFO impl.AMRMClientImpl: Received new token for : aamir-UX303LAB:45668 
17/02/19 23:27:08 INFO yarn.YarnAllocator: Launching container container_1487575592818_0001_02_000002 for on host aamir-UX303LAB 
17/02/19 23:27:08 INFO yarn.YarnAllocator: Launching ExecutorRunnable. driverUrl: spark://[email protected]:45598, executorHostname: aamir-UX303LAB 
17/02/19 23:27:08 INFO yarn.YarnAllocator: Received 1 containers from YARN, launching executors on 1 of them. 
17/02/19 23:27:08 INFO yarn.ExecutorRunnable: Starting Executor Container 
17/02/19 23:27:08 INFO yarn.ApplicationMaster: Started progress reporter thread with (heartbeat : 3000, initial allocation : 200) intervals 
17/02/19 23:27:08 INFO yarn.YarnAllocator: Will request 1 executor containers, each with 1 cores and 1408 MB memory including 384 MB overhead 
17/02/19 23:27:08 INFO yarn.YarnAllocator: Canceled 0 container requests (locality no longer needed) 
17/02/19 23:27:08 INFO yarn.YarnAllocator: Submitted container request (host: Any, capability: <memory:1408, vCores:1>) 
17/02/19 23:27:08 INFO impl.ContainerManagementProtocolProxy: yarn.client.max-cached-nodemanagers-proxies : 0 
17/02/19 23:27:08 INFO yarn.ExecutorRunnable: Setting up ContainerLaunchContext 
17/02/19 23:27:08 INFO yarn.ExecutorRunnable: 
=============================================================================== 
YARN executor launch context: 
env: 
CLASSPATH -> {{PWD}}<CPS>{{PWD}}/__spark_conf__<CPS>{{PWD}}/__spark_libs__/*<CPS>$HADOOP_CONF_DIR<CPS>$HADOOP_COMMON_HOME/share/hadoop/common/*<CPS>$HADOOP_COMMON_HOME/share/hadoop/common/lib/*<CPS>$HADOOP_HDFS_HOME/share/hadoop/hdfs/*<CPS>$HADOOP_HDFS_HOME/share/hadoop/hdfs/lib/*<CPS>$HADOOP_YARN_HOME/share/hadoop/yarn/*<CPS>$HADOOP_YARN_HOME/share/hadoop/yarn/lib/*<CPS>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*<CPS>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/* 
SPARK_LOG_URL_STDERR -> http://aamir-UX303LAB:8042/node/containerlogs/container_1487575592818_0001_02_000002/hadoop/stderr?start=-4096 
SPARK_YARN_STAGING_DIR -> hdfs://localhost:9000/user/hadoop/.sparkStaging/application_1487575592818_0001 
SPARK_USER -> hadoop 
SPARK_YARN_MODE -> true 
PYTHONPATH -> /usr/local/spark/python/lib/py4j-0.10.3-src.zip:/usr/local/spark/python/:<CPS>{{PWD}}/pyspark.zip<CPS>{{PWD}}/py4j-0.10.3-src.zip 
SPARK_LOG_URL_STDOUT -> http://aamir-UX303LAB:8042/node/containerlogs/container_1487575592818_0001_02_000002/hadoop/stdout?start=-4096 

command: 
{{JAVA_HOME}}/bin/java -server -Xmx1024m -Djava.io.tmpdir={{PWD}}/tmp '-Dspark.driver.port=45598' -Dspark.yarn.app.container.log.dir=<LOG_DIR> -XX:OnOutOfMemoryError='kill %p' org.apache.spark.executor.CoarseGrainedExecutorBackend --driver-url spark://[email protected]:45598 --executor-id 1 --hostname aamir-UX303LAB --cores 1 --app-id application_1487575592818_0001 --user-class-path file:$PWD/__app__.jar 1> <LOG_DIR>/stdout 2> <LOG_DIR>/stderr 
=============================================================================== 

17/02/19 23:27:08 INFO impl.ContainerManagementProtocolProxy: Opening proxy : aamir-UX303LAB:45668 
17/02/19 23:27:08 INFO yarn.YarnAllocator: Canceling requests for 1 executor container(s) to have a new desired total 2 executors. 
17/02/19 23:27:09 INFO yarn.YarnAllocator: Launching container container_1487575592818_0001_02_000003 for on host aamir-UX303LAB 
17/02/19 23:27:09 INFO yarn.YarnAllocator: Launching ExecutorRunnable. driverUrl: spark://[email protected]:45598, executorHostname: aamir-UX303LAB 
17/02/19 23:27:09 INFO yarn.YarnAllocator: Received 1 containers from YARN, launching executors on 1 of them. 
17/02/19 23:27:09 INFO yarn.ExecutorRunnable: Starting Executor Container 
17/02/19 23:27:09 INFO impl.ContainerManagementProtocolProxy: yarn.client.max-cached-nodemanagers-proxies : 0 
17/02/19 23:27:09 INFO yarn.ExecutorRunnable: Setting up ContainerLaunchContext 
17/02/19 23:27:09 INFO yarn.ExecutorRunnable: 
=============================================================================== 
YARN executor launch context: 
env: 
CLASSPATH -> {{PWD}}<CPS>{{PWD}}/__spark_conf__<CPS>{{PWD}}/__spark_libs__/*<CPS>$HADOOP_CONF_DIR<CPS>$HADOOP_COMMON_HOME/share/hadoop/common/*<CPS>$HADOOP_COMMON_HOME/share/hadoop/common/lib/*<CPS>$HADOOP_HDFS_HOME/share/hadoop/hdfs/*<CPS>$HADOOP_HDFS_HOME/share/hadoop/hdfs/lib/*<CPS>$HADOOP_YARN_HOME/share/hadoop/yarn/*<CPS>$HADOOP_YARN_HOME/share/hadoop/yarn/lib/*<CPS>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/*<CPS>$HADOOP_MAPRED_HOME/share/hadoop/mapreduce/lib/* 
SPARK_LOG_URL_STDERR -> http://aamir-UX303LAB:8042/node/containerlogs/container_1487575592818_0001_02_000003/hadoop/stderr?start=-4096 
SPARK_YARN_STAGING_DIR -> hdfs://localhost:9000/user/hadoop/.sparkStaging/application_1487575592818_0001 
SPARK_USER -> hadoop 
SPARK_YARN_MODE -> true 
PYTHONPATH -> /usr/local/spark/python/lib/py4j-0.10.3-src.zip:/usr/local/spark/python/:<CPS>{{PWD}}/pyspark.zip<CPS>{{PWD}}/py4j-0.10.3-src.zip 
SPARK_LOG_URL_STDOUT -> http://aamir-UX303LAB:8042/node/containerlogs/container_1487575592818_0001_02_000003/hadoop/stdout?start=-4096 

command: 
{{JAVA_HOME}}/bin/java -server -Xmx1024m -Djava.io.tmpdir={{PWD}}/tmp '-Dspark.driver.port=45598' -Dspark.yarn.app.container.log.dir=<LOG_DIR> -XX:OnOutOfMemoryError='kill %p' org.apache.spark.executor.CoarseGrainedExecutorBackend --driver-url spark://[email protected]:45598 --executor-id 2 --hostname aamir-UX303LAB --cores 1 --app-id application_1487575592818_0001 --user-class-path file:$PWD/__app__.jar 1> <LOG_DIR>/stdout 2> <LOG_DIR>/stderr 
=============================================================================== 

17/02/19 23:27:09 INFO impl.ContainerManagementProtocolProxy: Opening proxy : aamir-UX303LAB:45668 
17/02/19 23:27:09 ERROR yarn.ApplicationMaster: RECEIVED SIGNAL TERM 
17/02/19 23:27:09 INFO yarn.ApplicationMaster: Final app status: UNDEFINED, exitCode: 16, (reason: Shutdown hook called before final status was reported.) 
17/02/19 23:27:09 INFO yarn.ApplicationMaster: Unregistering ApplicationMaster with UNDEFINED (diag message: Shutdown hook called before final status was reported.) 
17/02/19 23:27:09 INFO impl.AMRMClientImpl: Waiting for application to be successfully unregistered. 
17/02/19 23:27:09 INFO yarn.ApplicationMaster: Deleting staging directory hdfs://localhost:9000/user/hadoop/.sparkStaging/application_1487575592818_0001 
17/02/19 23:27:09 INFO util.ShutdownHookManager: Shutdown hook called 
End of LogType:stderr 

LogType:stdout 
Log Upload Time:Sun Feb 19 23:27:10 -0800 2017 
LogLength:0 
Log Contents: 
End of LogType:stdout

出典

2017-02-20 aamirr

次を見ることができますが、WARN：

17/02/19 23： 26:59 util.Utils WARN：あなたはで仕事をしたい場合は、別のアドレス

にバインドする必要がある場合は設定SPARK_LOCAL_IPを10セットSPARK_LOCAL_IP

SPARK_LOCAL_IPは、クラスタによって特定のネットワークインターフェイス（到達可能）のIPを検索して計算してください。

http://spark.apache.org/docs/latest/configuration.html

SPARK_LOCAL_IP - マシンのIPアドレスにバインドします。あなたのresponse.Iため

出典

2017-02-20 09:20:54 Yaron

おかげで、あなたの提案どおりspark-env.shに輸出SPARK_LOCAL_IP = localhostを設定しました。しかし、pysparkシェルはまだ起動しません。失敗したpysparkの糸ログは[こちら]（https://justpaste.it/13qih）何らかの理由で、SPARK_LOCAL_IPを設定する警告が再度ログに表示されます。それは単なる警告なので、それがこの問題の本当の原因だと思いますか？あなたの助け – aamirr

@aamirrためおかげで - 私は、クラスタによって（到達可能な場合）、特定のネットワーク・インタフェースのIPを調べることにより、SPARK_LOCAL_IPを計算してください** **書いたようにあなたがの一部であるIPアドレスを使用する必要があります。クラスタネットワーククラスタ – Yaron

@aamirrの同じ 'netmask'に - あなたは、いくつかの' interfaces'と 'IPs'を取得しますifconfig''実行する場合は、クラスタと同じネットワーク内にあるIPを選択する必要があります。 – Yaron

pysparkシェルは

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