[ https://issues.apache.org/jira/browse/SPARK-42000?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-42000: ------------------------------------ Assignee: (was: Apache Spark) > 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 > Priority: Major > > {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} -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org