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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2023/02/14 00:07:00 UTC
[jira] [Resolved] (SPARK-42000) saveAsTable fail to find the default source (ReadwriterTests.test_insert_into)
[ https://issues.apache.org/jira/browse/SPARK-42000?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-42000.
----------------------------------
Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 40000
[https://github.com/apache/spark/pull/40000]
> saveAsTable fail to find the default source (ReadwriterTests.test_insert_into)
> ------------------------------------------------------------------------------
>
> Key: SPARK-42000
> URL: https://issues.apache.org/jira/browse/SPARK-42000
> Project: Spark
> Issue Type: Sub-task
> Components: Connect
> Affects Versions: 3.4.0
> Reporter: Hyukjin Kwon
> Assignee: Takuya Ueshin
> Priority: Major
> Fix For: 3.4.0
>
>
> {code}
> org.apache.spark.SparkClassNotFoundException: [DATA_SOURCE_NOT_FOUND] Failed to find the data source: . Please find packages at `https://spark.apache.org/third-party-projects.html`.
> at org.apache.spark.sql.errors.QueryExecutionErrors$.dataSourceNotFoundError(QueryExecutionErrors.scala:739)
> at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:646)
> at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSourceV2(DataSource.scala:696)
> at org.apache.spark.sql.DataFrameWriter.lookupV2Provider(DataFrameWriter.scala:860)
> at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:559)
> at org.apache.spark.sql.connect.planner.SparkConnectPlanner.handleWriteOperation(SparkConnectPlanner.scala:1426)
> at org.apache.spark.sql.connect.planner.SparkConnectPlanner.process(SparkConnectPlanner.scala:1297)
> at org.apache.spark.sql.connect.service.SparkConnectStreamHandler.handleCommand(SparkConnectStreamHandler.scala:182)
> at org.apache.spark.sql.connect.service.SparkConnectStreamHandler.handle(SparkConnectStreamHandler.scala:48)
> at org.apache.spark.sql.connect.service.SparkConnectService.executePlan(SparkConnectService.scala:135)
> at org.apache.spark.connect.proto.SparkConnectServiceGrpc$MethodHandlers.invoke(SparkConnectServiceGrpc.java:306)
> at org.sparkproject.connect.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182)
> at org.sparkproject.connect.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:352)
> at org.sparkproject.connect.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:866)
> at org.sparkproject.connect.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
> at org.sparkproject.connect.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:133)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.lang.ClassNotFoundException: .DefaultSource
> at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
> at org.apache.spark.sql.execution.datasources.DataSource$.$anonfun$lookupDataSource$5(DataSource.scala:632)
> at scala.util.Try$.apply(Try.scala:213)
> at org.apache.spark.sql.execution.datasources.DataSource$.$anonfun$lookupDataSource$4(DataSource.scala:632)
> at scala.util.Failure.orElse(Try.scala:224)
> at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:632)
> ... 17 more
> pyspark/sql/tests/test_readwriter.py:159 (ReadwriterParityTests.test_insert_into)
> self = <pyspark.sql.tests.connect.test_parity_readwriter.ReadwriterParityTests testMethod=test_insert_into>
> def test_insert_into(self):
> df = self.spark.createDataFrame([("a", 1), ("b", 2)], ["C1", "C2"])
> with self.table("test_table"):
> > df.write.saveAsTable("test_table")
> ../test_readwriter.py:163:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> ../../connect/readwriter.py:381: in saveAsTable
> self._spark.client.execute_command(self._write.command(self._spark.client))
> ../../connect/client.py:478: in execute_command
> self._execute(req)
> ../../connect/client.py:562: in _execute
> self._handle_error(rpc_error)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> self = <pyspark.sql.connect.client.SparkConnectClient object at 0x7fe0d069b5b0>
> rpc_error = <_MultiThreadedRendezvous of RPC that terminated with:
> status = StatusCode.INTERNAL
> details = ".DefaultSource"
> debu...pv6:%5B::1%5D:15002 {created_time:"2023-01-12T11:27:46.698322+09:00", grpc_status:13, grpc_message:".DefaultSource"}"
> >
> def _handle_error(self, rpc_error: grpc.RpcError) -> NoReturn:
> """
> Error handling helper for dealing with GRPC Errors. On the server side, certain
> exceptions are enriched with additional RPC Status information. These are
> unpacked in this function and put into the exception.
>
> To avoid overloading the user with GRPC errors, this message explicitly
> swallows the error context from the call. This GRPC Error is logged however,
> and can be enabled.
>
> Parameters
> ----------
> rpc_error : grpc.RpcError
> RPC Error containing the details of the exception.
>
> Returns
> -------
> Throws the appropriate internal Python exception.
> """
> logger.exception("GRPC Error received")
> # We have to cast the value here because, a RpcError is a Call as well.
> # https://grpc.github.io/grpc/python/grpc.html#grpc.UnaryUnaryMultiCallable.__call__
> status = rpc_status.from_call(cast(grpc.Call, rpc_error))
> if status:
> for d in status.details:
> if d.Is(error_details_pb2.ErrorInfo.DESCRIPTOR):
> info = error_details_pb2.ErrorInfo()
> d.Unpack(info)
> if info.reason == "org.apache.spark.sql.AnalysisException":
> raise SparkConnectAnalysisException(
> info.reason, info.metadata["message"], info.metadata["plan"]
> ) from None
> else:
> > raise SparkConnectException(status.message, info.reason) from None
> E pyspark.sql.connect.client.SparkConnectException: (java.lang.ClassNotFoundException) .DefaultSource
> ../../connect/client.py:636: SparkConnectException
> {code}
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