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 >>>>>> >>>>> >>>>> >>>> >>> >> >
