NICE CATCH!!! Many thanks.
I spent all day on this bug
The error msg report /tmp. I did not think to look on hdfs.
[ec2-user@ip-172-31-22-140 notebooks]$ hadoop fs -ls hdfs:///tmp/
Found 1 items
-rw-r--r-- 3 ec2-user supergroup 418 2016-04-13 22:49 hdfs:///tmp
[ec2-user@ip-172-31-22-140 notebooks]$
I have no idea how hdfs:///tmp got created. I deleted it.
This causes a bunch of exceptions. These exceptions has useful message. I
was able to fix the problem as follows
$ hadoop fs -rmr hdfs:///tmp
Now I run the notebook. It creates hdfs:///tmp/hive but the permission are
wrong
$ hadoop fs -chmod 777 hdfs:///tmp/hive
From: Felix Cheung <felixcheun...@hotmail.com>
Date: Thursday, August 18, 2016 at 3:37 PM
To: Andrew Davidson <a...@santacruzintegration.com>, "user @spark"
<user@spark.apache.org>
Subject: Re: pyspark unable to create UDF: java.lang.RuntimeException:
org.apache.hadoop.fs.FileAlreadyExistsException: Parent path is not a
directory: /tmp tmp
> Do you have a file called tmp at / on HDFS?
>
>
>
>
>
> On Thu, Aug 18, 2016 at 2:57 PM -0700, "Andy Davidson"
> <a...@santacruzintegration.com> wrote:
>
> For unknown reason I can not create UDF when I run the attached notebook on my
> cluster. I get the following error
>
> Py4JJavaError: An error occurred while calling
> None.org.apache.spark.sql.hive.HiveContext.
> : java.lang.RuntimeException: org.apache.hadoop.fs.FileAlreadyExistsException:
> Parent path is not a directory: /tmp tmp
>
> The notebook runs fine on my Mac
>
> In general I am able to run non UDF spark code with out any trouble
>
> I start the notebook server as the user “ec2-user" and uses master URL
> spark://ec2-51-215-120-63.us-west-1.compute.amazonaws.com:6066
>
>
> I found the following message in the notebook server log file. I have log
> level set to warn
>
> 16/08/18 21:38:45 WARN ObjectStore: Version information not found in
> metastore. hive.metastore.schema.verification is not enabled so recording the
> schema version 1.2.0
>
> 16/08/18 21:38:45 WARN ObjectStore: Failed to get database default, returning
> NoSuchObjectException
>
>
>
> The cluster was originally created using
> spark-1.6.1-bin-hadoop2.6/ec2/spark-ec2
>
>
> #from pyspark.sql import SQLContext, HiveContext
> #sqlContext = SQLContext(sc)
>
> #from pyspark.sql import DataFrame
> #from pyspark.sql import functions
>
> from pyspark.sql.types import StringType
> from pyspark.sql.functions import udf
>
> print("spark version: {}".format(sc.version))
>
> import sys
> print("python version: {}".format(sys.version))
> spark version: 1.6.1
> python version: 3.4.3 (default, Apr 1 2015, 18:10:40)
> [GCC 4.8.2 20140120 (Red Hat 4.8.2-16)]
>
>
>
> # functions.lower() raises # py4j.Py4JException: Method lower([class
> java.lang.String]) does not exist# work around define a UDFtoLowerUDFRetType =
> StringType()#toLowerUDF = udf(lambda s : s.lower(),
> toLowerUDFRetType)toLowerUDF = udf(lambda s : s.lower(), StringType())
> You must build Spark with Hive. Export 'SPARK_HIVE=true' and run build/sbt
> assembly
> Py4JJavaErrorTraceback (most recent call last)
> <ipython-input-2-2e0f7c0bb4f9> in <module>() 4 toLowerUDFRetType =
> StringType() 5 #toLowerUDF = udf(lambda s : s.lower(),
> toLowerUDFRetType)----> 6 toLowerUDF = udf(lambda s : s.lower(),
> StringType())/root/spark/python/pyspark/sql/functions.py in udf(f, returnType)
> 1595 [Row(slen=5), Row(slen=3)] 1596 """
> -> 1597 return UserDefinedFunction(f, returnType) 1598
> 1599 blacklist = ['map', 'since',
> 'ignore_unicode_prefix']/root/spark/python/pyspark/sql/functions.py in
> __init__(self, func, returnType, name) 1556 self.returnType =
> returnType
> 1557 self._broadcast = None-> 1558 self._judf =
> self._create_judf(name) 1559
> 1560 def _create_judf(self,
> name):/root/spark/python/pyspark/sql/functions.py in _create_judf(self, name)
> 1567 pickled_command, broadcast_vars, env, includes =
> _prepare_for_python_RDD(sc, command, self) 1568 ctx =
> SQLContext.getOrCreate(sc)-> 1569 jdt =
> ctx._ssql_ctx.parseDataType(self.returnType.json()) 1570 if name is
> None: 1571 name = f.__name__ if hasattr(f, '__name__') else
> f.__class__.__name__
>
> /root/spark/python/pyspark/sql/context.py in _ssql_ctx(self) 681
> try: 682 if not hasattr(self, '_scala_HiveContext'):--> 683
> self._scala_HiveContext = self._get_hive_ctx() 684 return
> self._scala_HiveContext
> 685 except Py4JError as
> e:/root/spark/python/pyspark/sql/context.py in _get_hive_ctx(self) 690
> 691 def _get_hive_ctx(self):--> 692 return
> self._jvm.HiveContext(self._jsc.sc()) 693
> 694 def refreshTable(self,
> tableName):/root/spark/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py in
> __call__(self, *args) 1062 answer =
> self._gateway_client.send_command(command) 1063 return_value =
> get_return_value(
> -> 1064 answer, self._gateway_client, None, self._fqn)
> 1065
> 1066 for temp_arg in
> temp_args:/root/spark/python/pyspark/sql/utils.py in deco(*a, **kw) 43
> def deco(*a, **kw): 44 try:---> 45 return f(*a, **kw)
> 46 except py4j.protocol.Py4JJavaError as e: 47 s =
> e.java_exception.toString()/root/spark/python/lib/py4j-0.9-src.zip/py4j/protoc
> ol.py in get_return_value(answer, gateway_client, target_id, name) 306
> raise Py4JJavaError(
> 307 "An error occurred while calling {0}{1}{2}.\n".-->
> 308 format(target_id, ".", name), value)
> 309 else: 310 raise Py4JError(
>
> Py4JJavaError: An error occurred while calling
> None.org.apache.spark.sql.hive.HiveContext.
> : java.lang.RuntimeException: org.apache.hadoop.fs.FileAlreadyExistsException:
> Parent path is not a directory: /tmp tmp
> at
>
org.apache.hadoop.hdfs.server.namenode.FSDirectory.mkdirs(FSDirectory.java:148>
9)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInternal(FSNamesyste
> m.java:2979)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInt(FSNamesystem.jav
> a:2932)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java:2
> 911)
> at
> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.mkdirs(NameNodeRpcSer
> ver.java:649)
> at
> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB
> .mkdirs(ClientNamenodeProtocolServerSideTranslatorPB.java:417)
> at
> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamen
> odeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java:44096)
> at
> org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(Protobu
> fRpcEngine.java:453)
> at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1002)
> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1695)
> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1691)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:415)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java
> :1408)
> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1689)
>
> at
> org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:522)
> at
> org.apache.spark.sql.hive.client.ClientWrapper.<init>(ClientWrapper.scala:204)
> at
> org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(IsolatedCli
> entLoader.scala:238)
> at
> org.apache.spark.sql.hive.HiveContext.executionHive$lzycompute(HiveContext.sca
> la:218)
> at
> org.apache.spark.sql.hive.HiveContext.executionHive(HiveContext.scala:208)
> at
> org.apache.spark.sql.hive.HiveContext.functionRegistry$lzycompute(HiveContext.
> scala:462)
> at
> org.apache.spark.sql.hive.HiveContext.functionRegistry(HiveContext.scala:461)
> at org.apache.spark.sql.UDFRegistration.<init>(UDFRegistration.scala:40)
> at org.apache.spark.sql.SQLContext.<init>(SQLContext.scala:330)
> at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:90)
> at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:101)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccesso
> rImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructo
> rAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:234)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
> at py4j.Gateway.invoke(Gateway.java:214)
> at
> py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:79)
> at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:68)
> at py4j.GatewayConnection.run(GatewayConnection.java:209)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.hadoop.fs.FileAlreadyExistsException: Parent path is not
> a directory: /tmp tmp
> at
>
org.apache.hadoop.hdfs.server.namenode.FSDirectory.mkdirs(FSDirectory.java:148>
9)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInternal(FSNamesyste
> m.java:2979)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInt(FSNamesystem.jav
> a:2932)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java:2
> 911)
> at
> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.mkdirs(NameNodeRpcSer
> ver.java:649)
> at
> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB
> .mkdirs(ClientNamenodeProtocolServerSideTranslatorPB.java:417)
> at
> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamen
> odeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java:44096)
> at
> org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(Protobu
> fRpcEngine.java:453)
> at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1002)
> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1695)
> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1691)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:415)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java
> :1408)
> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1689)
>
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccesso
> rImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructo
> rAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at
> org.apache.hadoop.ipc.RemoteException.instantiateException(RemoteException.jav
> a:90)
> at
> org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.ja
> va:57)
> at org.apache.hadoop.hdfs.DFSClient.primitiveMkdir(DFSClient.java:2110)
> at org.apache.hadoop.hdfs.DFSClient.mkdirs(DFSClient.java:2079)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.mkdirs(DistributedFileSystem.java
> :543)
> at
> org.apache.hadoop.hive.ql.exec.Utilities.createDirsWithPermission(Utilities.ja
> va: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)
> ... 21 more
> Caused by:
> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.fs.FileAlreadyExistsEx
> ception): Parent path is not a directory: /tmp tmp
> at
>
org.apache.hadoop.hdfs.server.namenode.FSDirectory.mkdirs(FSDirectory.java:148>
9)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInternal(FSNamesyste
> m.java:2979)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInt(FSNamesystem.jav
> a:2932)
> at
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java:2
> 911)
> at
> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.mkdirs(NameNodeRpcSer
> ver.java:649)
> at
> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB
> .mkdirs(ClientNamenodeProtocolServerSideTranslatorPB.java:417)
> at
> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamen
> odeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java:44096)
> at
> org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(Protobu
> fRpcEngine.java:453)
> at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1002)
> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1695)
> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:1691)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:415)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java
> :1408)
> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:1689)
>
> at org.apache.hadoop.ipc.Client.call(Client.java:1225)
> at
> org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:
> 202)
> at com.sun.proxy.$Proxy21.mkdirs(Unknown Source)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.j
> ava:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocation
> Handler.java:164)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandle
> r.java:83)
> at com.sun.proxy.$Proxy21.mkdirs(Unknown Source)
> at
> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.mkdirs(Cl
> ientNamenodeProtocolTranslatorPB.java:425)
> at org.apache.hadoop.hdfs.DFSClient.primitiveMkdir(DFSClient.java:2108)
> ... 27 more
>
>
