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Posted to issues@spark.apache.org by "Takeshi Yamamuro (Jira)" <ji...@apache.org> on 2020/09/07 05:50:00 UTC
[jira] [Resolved] (SPARK-32784) java.lang.NoClassDefFoundError:
parquet/hadoop/ParquetOutputFormat
[ https://issues.apache.org/jira/browse/SPARK-32784?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Takeshi Yamamuro resolved SPARK-32784.
--------------------------------------
Resolution: Incomplete
> java.lang.NoClassDefFoundError: parquet/hadoop/ParquetOutputFormat
> ------------------------------------------------------------------
>
> Key: SPARK-32784
> URL: https://issues.apache.org/jira/browse/SPARK-32784
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.4.5
> Environment: Run Context ubuntu:16.04 in Docker for EKS
>
> Python 3.5.2
> Spark 2.4.5
> hadoop 2.9.2
>
>
> {code:java}
> py4j-0.10.7.jar
> parquet-column-1.10.1.jar
> parquet-common-1.10.1.jar
> parquet-encoding-1.10.1.jar
> parquet-format-2.4.0.jar
> parquet-hadoop-1.10.1.jar
> parquet-jackson-1.10.1.jar
> {code}
>
> Reporter: clock
> Priority: Major
>
> Code:
>
> {code:java}
> spark = SparkSession.builder \
> .master("yarn") \
> .enableHiveSupport() \
> .getOrCreate()
>
> test_data_path = 's3a://ph-stream/common/public/prod/15'
> test_data_df = spark.read.parquet(test_data_path).limit(1)
>
> test_data_df.write
> .mode('overwrite')
> .option('path', test_data_df)
> .saveAsTable('prod15')
> {code}
>
> Error Info:
>
> {code:java}
> 2020-09-03 14:31:47,900 WARN util.Utils: Truncated the string representation of a plan since it was too large. This behavior can be adjusted by setting 'spark.debug.maxToStringFields' in SparkEnv.conf.
> Traceback (most recent call last):
> File "main.py", line 82, in <module>
> test_data_df.write.mode('overwrite').option('path', test_data_path).saveAsTable('prod15')
> File "/usr/local/lib/python3.5/dist-packages/pyspark/sql/readwriter.py", line 778, in saveAsTable
> self._jwrite.saveAsTable(name)
> File "/usr/local/lib/python3.5/dist-packages/py4j/java_gateway.py", line 1257, in __call__
> answer, self.gateway_client, self.target_id, self.name)
> File "/usr/local/lib/python3.5/dist-packages/pyspark/sql/utils.py", line 63, in deco
> return f(*a, **kw)
> File "/usr/local/lib/python3.5/dist-packages/py4j/protocol.py", line 328, in get_return_value
> format(target_id, ".", name), value)
> py4j.protocol.Py4JJavaError: An error occurred while calling o102.saveAsTable.
> : java.lang.NoClassDefFoundError: parquet/hadoop/ParquetOutputFormat
> at java.lang.Class.forName0(Native Method)
> at java.lang.Class.forName(Class.java:348)
> at org.apache.spark.util.Utils$.classForName(Utils.scala:238)
> at org.apache.spark.sql.hive.client.HiveClientImpl$.org$apache$spark$sql$hive$client$HiveClientImpl$$toOutputFormat(HiveClientImpl.scala:915)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$toHiveTable$8.apply(HiveClientImpl.scala:949)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$toHiveTable$8.apply(HiveClientImpl.scala:949)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.sql.hive.client.HiveClientImpl$.toHiveTable(HiveClientImpl.scala:949)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$createTable$1.apply$mcV$sp(HiveClientImpl.scala:484)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$createTable$1.apply(HiveClientImpl.scala:482)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$createTable$1.apply(HiveClientImpl.scala:482)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:277)
> at org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:215)
> at org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:214)
> at org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:260)
> at org.apache.spark.sql.hive.client.HiveClientImpl.createTable(HiveClientImpl.scala:482)
> at org.apache.spark.sql.hive.HiveExternalCatalog.saveTableIntoHive(HiveExternalCatalog.scala:499)
> at org.apache.spark.sql.hive.HiveExternalCatalog.org$apache$spark$sql$hive$HiveExternalCatalog$$createDataSourceTable(HiveExternalCatalog.scala:387)
> at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$createTable$1.apply$mcV$sp(HiveExternalCatalog.scala:263)
> at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$createTable$1.apply(HiveExternalCatalog.scala:236)
> at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$createTable$1.apply(HiveExternalCatalog.scala:236)
> at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
> at org.apache.spark.sql.hive.HiveExternalCatalog.createTable(HiveExternalCatalog.scala:236)
> at org.apache.spark.sql.catalyst.catalog.ExternalCatalogWithListener.createTable(ExternalCatalogWithListener.scala:94)
> at org.apache.spark.sql.catalyst.catalog.SessionCatalog.createTable(SessionCatalog.scala:324)
> at org.apache.spark.sql.execution.command.CreateDataSourceTableAsSelectCommand.run(createDataSourceTables.scala:185)
> at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104)
> at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
> at org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
> at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:83)
> at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:81)
> at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676)
> at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676)
> at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
> at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
> at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:676)
> at org.apache.spark.sql.DataFrameWriter.createTable(DataFrameWriter.scala:474)
> at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:453)
> at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:409)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:282)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:238)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.lang.ClassNotFoundException: parquet.hadoop.ParquetOutputFormat
> at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
> at org.apache.spark.sql.hive.client.IsolatedClientLoader$$anon$1.doLoadClass(IsolatedClientLoader.scala:226)
> at org.apache.spark.sql.hive.client.IsolatedClientLoader$$anon$1.loadClass(IsolatedClientLoader.scala:215)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
> ... 57 more
> {code}
>
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