There is /user/biapp in hdfs. The problem is that the hive-site.xml is being ignored, so it is looking for it locally.
On Thu, Oct 29, 2015 at 10:40 AM, Kai Wei <kai.wei...@gmail.com> wrote: > Create /user/biapp in hdfs manually first. > On 30 Oct 2015 1:36 am, "Zoltan Fedor" <zoltan.0.fe...@gmail.com> wrote: > >> Sure, I did it with spark-shell, which seems to be showing the same error >> - not using the hive-site.xml >> >> >> $ HADOOP_CONF_DIR=$SPARK_HOME/hadoop-conf >> YARN_CONF_DIR=$SPARK_HOME/yarn-conf HADOOP_USER_NAME=biapp MASTER=yarn >> $SPARK_HOME/bin/pyspark --deploy-mode client --driver-class-path >> $HIVE_CLASSPATH >> Python 2.6.6 (r266:84292, Jul 23 2015, 05:13:40) >> [GCC 4.4.7 20120313 (Red Hat 4.4.7-16)] on linux2 >> Type "help", "copyright", "credits" or "license" for more information. >> SLF4J: Class path contains multiple SLF4J bindings. >> SLF4J: Found binding in >> [jar:file:/usr/lib/spark-1.5.1-bin-without-hadoop/lib/spark-assembly-1.5.1-hadoop2.5.0-cdh5.3.3.jar!/org/slf4j/impl/StaticLoggerBinder.class] >> SLF4J: Found binding in >> [jar:file:/usr/lib/zookeeper/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class] >> SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an >> explanation. >> SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] >> 15/10/29 10:33:20 WARN MetricsSystem: Using default name DAGScheduler for >> source because spark.app.id is not set. >> 15/10/29 10:33:22 WARN NativeCodeLoader: Unable to load native-hadoop >> library for your platform... using builtin-java classes where applicable >> 15/10/29 10:33:50 WARN HiveConf: HiveConf of name hive.metastore.local >> does not exist >> Welcome to >> ____ __ >> / __/__ ___ _____/ /__ >> _\ \/ _ \/ _ `/ __/ '_/ >> /__ / .__/\_,_/_/ /_/\_\ version 1.5.1 >> /_/ >> >> Using Python version 2.6.6 (r266:84292, Jul 23 2015 05:13:40) >> SparkContext available as sc, HiveContext available as sqlContext. >> >>> >> biapps@biapps-qa01:~> HADOOP_CONF_DIR=$SPARK_HOME/hadoop-conf >> YARN_CONF_DIR=$SPARK_HOME/yarn-conf HADOOP_USER_NAME=biapp MASTER=yarn >> $SPARK_HOME/bin/spark-shell --deploy-mode client >> SLF4J: Class path contains multiple SLF4J bindings. >> SLF4J: Found binding in >> [jar:file:/usr/lib/spark-1.5.1-bin-without-hadoop/lib/spark-assembly-1.5.1-hadoop2.5.0-cdh5.3.3.jar!/org/slf4j/impl/StaticLoggerBinder.class] >> SLF4J: Found binding in >> [jar:file:/usr/lib/zookeeper/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] >> Welcome to >> ____ __ >> / __/__ ___ _____/ /__ >> _\ \/ _ \/ _ `/ __/ '_/ >> /___/ .__/\_,_/_/ /_/\_\ version 1.5.1 >> /_/ >> >> Using Scala version 2.10.4 (OpenJDK 64-Bit Server VM, Java 1.7.0_91) >> Type in expressions to have them evaluated. >> Type :help for more information. >> 15/10/29 10:34:15 WARN MetricsSystem: Using default name DAGScheduler for >> source because spark.app.id is not set. >> 15/10/29 10:34:16 WARN NativeCodeLoader: Unable to load native-hadoop >> library for your platform... using builtin-java classes where applicable >> Spark context available as sc. >> 15/10/29 10:34:46 WARN HiveConf: HiveConf of name hive.metastore.local >> does not exist >> 15/10/29 10:34:46 WARN ShellBasedUnixGroupsMapping: got exception trying >> to get groups for user biapp: id: biapp: No such user >> >> 15/10/29 10:34:46 WARN UserGroupInformation: No groups available for user >> biapp >> java.lang.RuntimeException: >> org.apache.hadoop.security.AccessControlException: Permission denied: >> user=biapp, access=WRITE, inode="/user":hdfs:supergroup:drwxr-xr-x >> at >> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.checkFsPermission(DefaultAuthorizationProvider.java:257) >> at >> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.check(DefaultAuthorizationProvider.java:238) >> at >> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.check(DefaultAuthorizationProvider.java:216) >> at >> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.checkPermission(DefaultAuthorizationProvider.java:145) >> at >> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:138) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6287) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6269) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkAncestorAccess(FSNamesystem.java:6221) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInternal(FSNamesystem.java:4088) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInt(FSNamesystem.java:4058) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java:4031) >> at >> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.mkdirs(NameNodeRpcServer.java:788) >> at >> org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.mkdirs(AuthorizationProviderProxyClientProtocol.java:297) >> at >> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.mkdirs(ClientNamenodeProtocolServerSideTranslatorPB.java:594) >> at >> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java) >> at >> org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:587) >> at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026) >> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013) >> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009) >> at java.security.AccessController.doPrivileged(Native Method) >> at javax.security.auth.Subject.doAs(Subject.java:422) >> at >> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1642) >> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007) >> >> at >> org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:522) >> at >> org.apache.spark.sql.hive.client.ClientWrapper.<init>(ClientWrapper.scala:171) >> at >> org.apache.spark.sql.hive.HiveContext.executionHive$lzycompute(HiveContext.scala:162) >> at >> org.apache.spark.sql.hive.HiveContext.executionHive(HiveContext.scala:160) >> at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:167) >> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) >> at >> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57) >> at >> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) >> at java.lang.reflect.Constructor.newInstance(Constructor.java:526) >> at >> org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:1028) >> at $iwC$$iwC.<init>(<console>:9) >> at $iwC.<init>(<console>:18) >> at <init>(<console>:20) >> at .<init>(<console>:24) >> at .<clinit>(<console>) >> at .<init>(<console>:7) >> at .<clinit>(<console>) >> at $print(<console>) >> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >> at >> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >> at >> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >> at java.lang.reflect.Method.invoke(Method.java:606) >> at >> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065) >> at >> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340) >> at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840) >> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871) >> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819) >> at >> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857) >> at >> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902) >> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814) >> at >> org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:132) >> at >> org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124) >> at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324) >> at >> org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124) >> at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64) >> at >> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974) >> at >> org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:159) >> at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64) >> at >> org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108) >> at >> org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64) >> at >> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:991) >> at >> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) >> at >> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) >> at >> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) >> at org.apache.spark.repl.SparkILoop.org >> $apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945) >> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059) >> at org.apache.spark.repl.Main$.main(Main.scala:31) >> at org.apache.spark.repl.Main.main(Main.scala) >> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >> at >> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >> at >> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >> at java.lang.reflect.Method.invoke(Method.java:606) >> at >> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672) >> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) >> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) >> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120) >> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) >> Caused by: org.apache.hadoop.security.AccessControlException: Permission >> denied: user=biapp, access=WRITE, inode="/user":hdfs:supergroup:drwxr-xr-x >> at >> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.checkFsPermission(DefaultAuthorizationProvider.java:257) >> at >> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.check(DefaultAuthorizationProvider.java:238) >> at >> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.check(DefaultAuthorizationProvider.java:216) >> at >> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.checkPermission(DefaultAuthorizationProvider.java:145) >> at >> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:138) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6287) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6269) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkAncestorAccess(FSNamesystem.java:6221) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInternal(FSNamesystem.java:4088) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInt(FSNamesystem.java:4058) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java:4031) >> at >> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.mkdirs(NameNodeRpcServer.java:788) >> at >> org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.mkdirs(AuthorizationProviderProxyClientProtocol.java:297) >> at >> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.mkdirs(ClientNamenodeProtocolServerSideTranslatorPB.java:594) >> at >> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java) >> at >> org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:587) >> at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026) >> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013) >> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009) >> at java.security.AccessController.doPrivileged(Native Method) >> at javax.security.auth.Subject.doAs(Subject.java:422) >> at >> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1642) >> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007) >> >> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) >> at >> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57) >> at >> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) >> at java.lang.reflect.Constructor.newInstance(Constructor.java:526) >> at >> org.apache.hadoop.ipc.RemoteException.instantiateException(RemoteException.java:106) >> at >> org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.java:73) >> at org.apache.hadoop.hdfs.DFSClient.primitiveMkdir(DFSClient.java:2689) >> at org.apache.hadoop.hdfs.DFSClient.mkdirs(DFSClient.java:2658) >> at >> org.apache.hadoop.hdfs.DistributedFileSystem$16.doCall(DistributedFileSystem.java:831) >> at >> org.apache.hadoop.hdfs.DistributedFileSystem$16.doCall(DistributedFileSystem.java:827) >> at >> org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81) >> at >> org.apache.hadoop.hdfs.DistributedFileSystem.mkdirsInternal(DistributedFileSystem.java:827) >> at >> org.apache.hadoop.hdfs.DistributedFileSystem.mkdirs(DistributedFileSystem.java:820) >> at >> org.apache.hadoop.hive.ql.exec.Utilities.createDirsWithPermission(Utilities.java:3679) >> at >> org.apache.hadoop.hive.ql.session.SessionState.createRootHDFSDir(SessionState.java:597) >> at >> org.apache.hadoop.hive.ql.session.SessionState.createSessionDirs(SessionState.java:554) >> at >> org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:508) >> ... 56 more >> Caused by: >> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.AccessControlException): >> Permission denied: user=biapp, access=WRITE, >> inode="/user":hdfs:supergroup:drwxr-xr-x >> at >> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.checkFsPermission(DefaultAuthorizationProvider.java:257) >> at >> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.check(DefaultAuthorizationProvider.java:238) >> at >> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.check(DefaultAuthorizationProvider.java:216) >> at >> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.checkPermission(DefaultAuthorizationProvider.java:145) >> at >> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:138) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6287) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6269) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkAncestorAccess(FSNamesystem.java:6221) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInternal(FSNamesystem.java:4088) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInt(FSNamesystem.java:4058) >> at >> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java:4031) >> at >> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.mkdirs(NameNodeRpcServer.java:788) >> at >> org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.mkdirs(AuthorizationProviderProxyClientProtocol.java:297) >> at >> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.mkdirs(ClientNamenodeProtocolServerSideTranslatorPB.java:594) >> at >> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java) >> at >> org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:587) >> at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026) >> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013) >> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009) >> at java.security.AccessController.doPrivileged(Native Method) >> at javax.security.auth.Subject.doAs(Subject.java:422) >> at >> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1642) >> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007) >> >> at org.apache.hadoop.ipc.Client.call(Client.java:1411) >> at org.apache.hadoop.ipc.Client.call(Client.java:1364) >> at >> org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206) >> at com.sun.proxy.$Proxy14.mkdirs(Unknown Source) >> at >> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.mkdirs(ClientNamenodeProtocolTranslatorPB.java:531) >> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >> at >> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >> at >> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >> at java.lang.reflect.Method.invoke(Method.java:606) >> at >> org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:187) >> at >> org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102) >> at com.sun.proxy.$Proxy15.mkdirs(Unknown Source) >> at org.apache.hadoop.hdfs.DFSClient.primitiveMkdir(DFSClient.java:2687) >> ... 66 more >> >> <console>:10: error: not found: value sqlContext >> import sqlContext.implicits._ >> ^ >> <console>:10: error: not found: value sqlContext >> import sqlContext.sql >> ^ >> >> scala> sqlContext.sql("show databases").collect >> <console>:14: error: not found: value sqlContext >> sqlContext.sql("show databases").collect >> ^ >> >> scala> >> >> On Thu, Oct 29, 2015 at 10:26 AM, Deenar Toraskar < >> deenar.toras...@gmail.com> wrote: >> >>> I dont know a lot about how pyspark works. Can you possibly try running >>> spark-shell and do the same? >>> >>> sqlContext.sql("show databases").collect >>> >>> Deenar >>> >>> On 29 October 2015 at 14:18, Zoltan Fedor <zoltan.0.fe...@gmail.com> >>> wrote: >>> >>>> Yes, I am. It was compiled with the following: >>>> >>>> export SPARK_HADOOP_VERSION=2.5.0-cdh5.3.3 >>>> export SPARK_YARN=true >>>> export SPARK_HIVE=true >>>> export MAVEN_OPTS="-Xmx2g -XX:MaxPermSize=512M >>>> -XX:ReservedCodeCacheSize=512m" >>>> mvn -Pyarn -Phadoop-2.5 -Dhadoop.version=2.5.0-cdh5.3.3 -Phive >>>> -Phive-thriftserver -DskipTests clean package >>>> >>>> On Thu, Oct 29, 2015 at 10:16 AM, Deenar Toraskar < >>>> deenar.toras...@gmail.com> wrote: >>>> >>>>> Are you using Spark built with hive ? >>>>> >>>>> # Apache Hadoop 2.4.X with Hive 13 support >>>>> mvn -Pyarn -Phadoop-2.6 -Dhadoop.version=2.6.0 -Phive -Phive-thriftserver >>>>> -DskipTests clean package >>>>> >>>>> >>>>> On 29 October 2015 at 13:08, Zoltan Fedor <zoltan.0.fe...@gmail.com> >>>>> wrote: >>>>> >>>>>> Hi Deenar, >>>>>> As suggested, I have moved the hive-site.xml from HADOOP_CONF_DIR >>>>>> ($SPARK_HOME/hadoop-conf) to YARN_CONF_DIR ($SPARK_HOME/conf/yarn-conf) >>>>>> and >>>>>> use the below to start pyspark, but the error is the exact same as >>>>>> before. >>>>>> >>>>>> $ HADOOP_CONF_DIR=$SPARK_HOME/hadoop-conf >>>>>> YARN_CONF_DIR=$SPARK_HOME/conf/yarn-conf HADOOP_USER_NAME=biapp >>>>>> MASTER=yarn >>>>>> $SPARK_HOME/bin/pyspark --deploy-mode client >>>>>> >>>>>> Python 2.6.6 (r266:84292, Jul 23 2015, 05:13:40) >>>>>> [GCC 4.4.7 20120313 (Red Hat 4.4.7-16)] on linux2 >>>>>> Type "help", "copyright", "credits" or "license" for more information. >>>>>> SLF4J: Class path contains multiple SLF4J bindings. >>>>>> SLF4J: Found binding in >>>>>> [jar:file:/usr/lib/spark-1.5.1-bin-without-hadoop/lib/spark-assembly-1.5.1-hadoop2.5.0-cdh5.3.3.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>>>>> SLF4J: Found binding in >>>>>> [jar:file:/usr/lib/zookeeper/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] >>>>>> 15/10/29 09:06:36 WARN MetricsSystem: Using default name DAGScheduler >>>>>> for source because spark.app.id is not set. >>>>>> 15/10/29 09:06:38 WARN NativeCodeLoader: Unable to load native-hadoop >>>>>> library for your platform... using builtin-java classes where applicable >>>>>> 15/10/29 09:07:03 WARN HiveConf: HiveConf of name >>>>>> hive.metastore.local does not exist >>>>>> Welcome to >>>>>> ____ __ >>>>>> / __/__ ___ _____/ /__ >>>>>> _\ \/ _ \/ _ `/ __/ '_/ >>>>>> /__ / .__/\_,_/_/ /_/\_\ version 1.5.1 >>>>>> /_/ >>>>>> >>>>>> Using Python version 2.6.6 (r266:84292, Jul 23 2015 05:13:40) >>>>>> SparkContext available as sc, HiveContext available as sqlContext. >>>>>> >>> sqlContext2 = HiveContext(sc) >>>>>> >>> sqlContext2 = HiveContext(sc) >>>>>> >>> sqlContext2.sql("show databases").first() >>>>>> 15/10/29 09:07:34 WARN HiveConf: HiveConf of name >>>>>> hive.metastore.local does not exist >>>>>> 15/10/29 09:07:35 WARN ShellBasedUnixGroupsMapping: got exception >>>>>> trying to get groups for user biapp: id: biapp: No such user >>>>>> >>>>>> 15/10/29 09:07:35 WARN UserGroupInformation: No groups available for >>>>>> user biapp >>>>>> Traceback (most recent call last): >>>>>> File "<stdin>", line 1, in <module> >>>>>> File >>>>>> "/usr/lib/spark-1.5.1-bin-without-hadoop/python/pyspark/sql/context.py", >>>>>> line 552, in sql >>>>>> return DataFrame(self._ssql_ctx.sql(sqlQuery), self) >>>>>> File >>>>>> "/usr/lib/spark-1.5.1-bin-without-hadoop/python/pyspark/sql/context.py", >>>>>> line 660, in _ssql_ctx >>>>>> "build/sbt assembly", e) >>>>>> Exception: ("You must build Spark with Hive. Export 'SPARK_HIVE=true' >>>>>> and run build/sbt assembly", Py4JJavaError(u'An error occurred while >>>>>> calling None.org.apache.spark.sql.hive.HiveContext.\n', JavaObject >>>>>> id=o20)) >>>>>> >>> >>>>>> >>>>>> >>>>>> On Thu, Oct 29, 2015 at 7:20 AM, Deenar Toraskar < >>>>>> deenar.toras...@gmail.com> wrote: >>>>>> >>>>>>> *Hi Zoltan* >>>>>>> >>>>>>> Add hive-site.xml to your YARN_CONF_DIR. i.e. >>>>>>> $SPARK_HOME/conf/yarn-conf >>>>>>> >>>>>>> Deenar >>>>>>> >>>>>>> *Think Reactive Ltd* >>>>>>> deenar.toras...@thinkreactive.co.uk >>>>>>> 07714140812 >>>>>>> >>>>>>> On 28 October 2015 at 14:28, Zoltan Fedor <zoltan.0.fe...@gmail.com> >>>>>>> wrote: >>>>>>> >>>>>>>> Hi, >>>>>>>> We have a shared CDH 5.3.3 cluster and trying to use Spark 1.5.1 on >>>>>>>> it in yarn client mode with Hive. >>>>>>>> >>>>>>>> I have compiled Spark 1.5.1 with SPARK_HIVE=true, but it seems I am >>>>>>>> not able to make SparkSQL to pick up the hive-site.xml when runnig >>>>>>>> pyspark. >>>>>>>> >>>>>>>> hive-site.xml is located in $SPARK_HOME/hadoop-conf/hive-site.xml >>>>>>>> and also in $SPARK_HOME/conf/hive-site.xml >>>>>>>> >>>>>>>> When I start pyspark with the below command and then run some >>>>>>>> simple SparkSQL it fails, it seems it didn't pic up the settings in >>>>>>>> hive-site.xml >>>>>>>> >>>>>>>> $ HADOOP_CONF_DIR=$SPARK_HOME/hadoop-conf >>>>>>>> YARN_CONF_DIR=$SPARK_HOME/yarn-conf HADOOP_USER_NAME=biapp MASTER=yarn >>>>>>>> $SPARK_HOME/bin/pyspark --deploy-mode client >>>>>>>> >>>>>>>> Python 2.6.6 (r266:84292, Jul 23 2015, 05:13:40) >>>>>>>> [GCC 4.4.7 20120313 (Red Hat 4.4.7-16)] on linux2 >>>>>>>> Type "help", "copyright", "credits" or "license" for more >>>>>>>> information. >>>>>>>> SLF4J: Class path contains multiple SLF4J bindings. >>>>>>>> SLF4J: Found binding in >>>>>>>> [jar:file:/usr/lib/spark-1.5.1-bin-without-hadoop/lib/spark-assembly-1.5.1-hadoop2.5.0-cdh5.3.3.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>>>>>>> SLF4J: Found binding in >>>>>>>> [jar:file:/usr/lib/zookeeper/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] >>>>>>>> 15/10/28 10:22:33 WARN MetricsSystem: Using default name >>>>>>>> DAGScheduler for source because spark.app.id is not set. >>>>>>>> 15/10/28 10:22:35 WARN NativeCodeLoader: Unable to load >>>>>>>> native-hadoop library for your platform... using builtin-java classes >>>>>>>> where >>>>>>>> applicable >>>>>>>> 15/10/28 10:22:59 WARN HiveConf: HiveConf of name >>>>>>>> hive.metastore.local does not exist >>>>>>>> Welcome to >>>>>>>> ____ __ >>>>>>>> / __/__ ___ _____/ /__ >>>>>>>> _\ \/ _ \/ _ `/ __/ '_/ >>>>>>>> /__ / .__/\_,_/_/ /_/\_\ version 1.5.1 >>>>>>>> /_/ >>>>>>>> >>>>>>>> Using Python version 2.6.6 (r266:84292, Jul 23 2015 05:13:40) >>>>>>>> SparkContext available as sc, HiveContext available as sqlContext. >>>>>>>> >>> sqlContext2 = HiveContext(sc) >>>>>>>> >>> sqlContext2.sql("show databases").first() >>>>>>>> 15/10/28 10:23:12 WARN HiveConf: HiveConf of name >>>>>>>> hive.metastore.local does not exist >>>>>>>> 15/10/28 10:23:13 WARN ShellBasedUnixGroupsMapping: got exception >>>>>>>> trying to get groups for user biapp: id: biapp: No such user >>>>>>>> >>>>>>>> 15/10/28 10:23:13 WARN UserGroupInformation: No groups available >>>>>>>> for user biapp >>>>>>>> Traceback (most recent call last): >>>>>>>> File "<stdin>", line 1, in <module> >>>>>>>> File >>>>>>>> "/usr/lib/spark-1.5.1-bin-without-hadoop/python/pyspark/sql/context.py", >>>>>>>> line 552, in sql >>>>>>>> return DataFrame(self._ssql_ctx.sql(sqlQuery), self) >>>>>>>> File >>>>>>>> "/usr/lib/spark-1.5.1-bin-without-hadoop/python/pyspark/sql/context.py", >>>>>>>> line 660, in _ssql_ctx >>>>>>>> "build/sbt assembly", e) >>>>>>>> Exception: ("You must build Spark with Hive. Export >>>>>>>> 'SPARK_HIVE=true' and run build/sbt assembly", Py4JJavaError(u'An error >>>>>>>> occurred while calling None.org.apache.spark.sql.hive.HiveContext.\n', >>>>>>>> JavaObject id=o20)) >>>>>>>> >>> >>>>>>>> >>>>>>>> >>>>>>>> See in the above the warning about "WARN HiveConf: HiveConf of name >>>>>>>> hive.metastore.local does not exist" while actually there is a >>>>>>>> hive.metastore.local attribute in the hive-site.xml >>>>>>>> >>>>>>>> Any idea how to submit hive-site.xml in yarn client mode? >>>>>>>> >>>>>>>> Thanks >>>>>>>> >>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>> >>
