Hyukjin Kwon created SPARK-42000: ------------------------------------ Summary: saveAsTable fail to find the default source 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
{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