Here is what I did, maybe that will help you. 1) Downloaded spark-1.5.1 (With HAdoop 2.6.0) spark-1.5.1-bin-hadoop2.6 and extracted it on the edge node, set SPARK_HOME to this location 2) Copied the existing configuration (spark-defaults.conf and spark-env.sh) from your spark install (/opt/cloudera/parcels/CDH/lib/spark/conf/yarn-conf on our environment) to $SPARK_HOME/conf 3) updated spark.yarn.jar in spark-defaults.conf 4) copied over all the configuration files from /opt/cloudera/parcels/CDH/lib/spark/conf/yarn-conf to $SPARK_HOME/conf/yarn-conf
and it worked. You may be better off with a custom build for CDH 5.3.3 hadoop, which you already have done. Deenar On 29 October 2015 at 14:35, 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 >>>>>>> >>>>>> >>>>>> >>>>> >>>> >>> >> >
