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https://issues.apache.org/jira/browse/SPARK-19038?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15864983#comment-15864983
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Saisai Shao commented on SPARK-19038:
-------------------------------------
I think the issue you met is the same as this JIRA mentioned, but PR 16482
tries to use a different way to solve this problem, which is not correct for
current Spark on YARN. Let me figure out a decent solution to fix this.
> Can't find keytab file when using Hive catalog
> ----------------------------------------------
>
> Key: SPARK-19038
> URL: https://issues.apache.org/jira/browse/SPARK-19038
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Affects Versions: 2.0.2
> Environment: Hadoop / YARN 2.6, pyspark, yarn-client mode
> Reporter: Peter Parente
> Labels: hive, kerberos, pyspark
>
> h2. Stack Trace
> {noformat}
> Py4JJavaErrorTraceback (most recent call last)
> <ipython-input-13-c35b9cad36ad> in <module>()
> ----> 1 sdf = sql.createDataFrame(df)
> /opt/spark2/python/pyspark/sql/context.py in createDataFrame(self, data,
> schema, samplingRatio, verifySchema)
> 307 Py4JJavaError: ...
> 308 """
> --> 309 return self.sparkSession.createDataFrame(data, schema,
> samplingRatio, verifySchema)
> 310
> 311 @since(1.3)
> /opt/spark2/python/pyspark/sql/session.py in createDataFrame(self, data,
> schema, samplingRatio, verifySchema)
> 524 rdd, schema = self._createFromLocal(map(prepare, data),
> schema)
> 525 jrdd =
> self._jvm.SerDeUtil.toJavaArray(rdd._to_java_object_rdd())
> --> 526 jdf = self._jsparkSession.applySchemaToPythonRDD(jrdd.rdd(),
> schema.json())
> 527 df = DataFrame(jdf, self._wrapped)
> 528 df._schema = schema
> /opt/spark2/python/lib/py4j-0.10.3-src.zip/py4j/java_gateway.py in
> __call__(self, *args)
> 1131 answer = self.gateway_client.send_command(command)
> 1132 return_value = get_return_value(
> -> 1133 answer, self.gateway_client, self.target_id, self.name)
> 1134
> 1135 for temp_arg in temp_args:
> /opt/spark2/python/pyspark/sql/utils.py in deco(*a, **kw)
> 61 def deco(*a, **kw):
> 62 try:
> ---> 63 return f(*a, **kw)
> 64 except py4j.protocol.Py4JJavaError as e:
> 65 s = e.java_exception.toString()
> /opt/spark2/python/lib/py4j-0.10.3-src.zip/py4j/protocol.py in
> get_return_value(answer, gateway_client, target_id, name)
> 317 raise Py4JJavaError(
> 318 "An error occurred while calling {0}{1}{2}.\n".
> --> 319 format(target_id, ".", name), value)
> 320 else:
> 321 raise Py4JError(
> Py4JJavaError: An error occurred while calling o47.applySchemaToPythonRDD.
> : org.apache.spark.SparkException: Keytab file:
> .keytab-f0b9b814-460e-4fa8-8e7d-029186b696c4 specified in spark.yarn.keytab
> does not exist
> at
> org.apache.spark.sql.hive.client.HiveClientImpl.<init>(HiveClientImpl.scala:113)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at
> org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(IsolatedClientLoader.scala:258)
> at
> org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:359)
> at
> org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:263)
> at
> org.apache.spark.sql.hive.HiveSharedState.metadataHive$lzycompute(HiveSharedState.scala:39)
> at
> org.apache.spark.sql.hive.HiveSharedState.metadataHive(HiveSharedState.scala:38)
> at
> org.apache.spark.sql.hive.HiveSharedState.externalCatalog$lzycompute(HiveSharedState.scala:46)
> at
> org.apache.spark.sql.hive.HiveSharedState.externalCatalog(HiveSharedState.scala:45)
> at
> org.apache.spark.sql.hive.HiveSessionState.catalog$lzycompute(HiveSessionState.scala:50)
> at
> org.apache.spark.sql.hive.HiveSessionState.catalog(HiveSessionState.scala:48)
> at
> org.apache.spark.sql.hive.HiveSessionState$$anon$1.<init>(HiveSessionState.scala:63)
> at
> org.apache.spark.sql.hive.HiveSessionState.analyzer$lzycompute(HiveSessionState.scala:63)
> at
> org.apache.spark.sql.hive.HiveSessionState.analyzer(HiveSessionState.scala:62)
> at
> org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:49)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64)
> at
> org.apache.spark.sql.SparkSession.applySchemaToPythonRDD(SparkSession.scala:666)
> at
> org.apache.spark.sql.SparkSession.applySchemaToPythonRDD(SparkSession.scala:656)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:237)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:280)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:214)
> at java.lang.Thread.run(Thread.java:745)
> {noformat}
> h2. Steps to reproduce
> 1. Pass valid --principal=user@REALM and --keytab=/home/user/.keytab to
> spark-submit
> 2. Set spark.sql.catalogImplementation = 'hive'
> 3. Set deploy mode to yarn-client
> 4. Create a SparkSession and try to use session.createDataFrame()
> h2. Observations
> * The {{setupCredentials}} function in Client.scala sets
> {{spark.yarn.keytab}} to a UUID suffixed version of the base keytab filename
> without any path. For example, {{sparkContext.getConf().getAll()}} shows
> {{spark.yarn.keytab}} as having value
> {{.keytab-f0b9b814-460e-4fa8-8e7d-029186b696c4}}
> * When listing the contents of the application staging directory on HDFS, no
> suffixed file exists. Rather, the keytab file appears in the listing with its
> original name. For instance, {{hdfs dfs -ls
> hdfs://home/user/.sparkStaging/appication_big_uuid/}} shows an entry
> {{hdfs://home/user/.sparkStaging/appication_big_uuid/.keytab}}, but not
> {{hdfs://home/user/.sparkStaging/appication_big_uuid/.keytab-big-uuid}}.
> * The same exception noted above occurs even after I manually put a copy of
> the keytab with a filename matching the new value of {{spark.yarn.keytab}}
> onto HDFS in the staging directory.
> h2. Expected Behavior
> HiveClientImpl should be able to read {{spark.yarn.keytab}} to find the
> keytab file and initialize itself properly.
> h2. References
> * SPARK-8619 also noted trouble with the keytab property getting changed
> after app startup.
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