You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "clock (Jira)" <ji...@apache.org> on 2020/09/03 06:48:00 UTC
[jira] [Created] (SPARK-32784) java.lang.NoClassDefFoundError:
parquet/hadoop/ParquetOutputFormat
clock created SPARK-32784:
-----------------------------
Summary: 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
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}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org