Peter Parente created SPARK-19038:
-------------------------------------
Summary: 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
Reporter: Peter Parente
## 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}
## Steps to reproduce
1. Pass valid --principal=user@REALM and --keytab=/home/user/.keytab to
spark-submit
2. Set spark.sql.catalogImplementation = 'hive'
3. Create a SparkSession and try to use session.createDataFrame()
## 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.
## Expected Behavior
HiveClientImpl should be able to read {{spark.yarn.keytab}} to find the keytab
file and initialize itself properly.
## References
* SPARK-8619 also noted trouble with the keytab property getting changed after
app startup.
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