| # |
| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You under the Apache License, Version 2.0 |
| # (the "License"); you may not use this file except in compliance with |
| # the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # |
| import os |
| import sys |
| from typing import IO |
| |
| from pyspark.accumulators import _accumulatorRegistry |
| from pyspark.errors import PySparkAssertionError |
| from pyspark.serializers import ( |
| read_bool, |
| read_int, |
| write_int, |
| SpecialLengths, |
| ) |
| from pyspark.sql.datasource import DataSourceWriter, WriterCommitMessage |
| from pyspark.util import handle_worker_exception, local_connect_and_auth |
| from pyspark.worker_util import ( |
| check_python_version, |
| pickleSer, |
| send_accumulator_updates, |
| setup_broadcasts, |
| setup_memory_limits, |
| setup_spark_files, |
| ) |
| |
| |
| def main(infile: IO, outfile: IO) -> None: |
| """ |
| Main method for committing or aborting a data source write operation. |
| |
| This process is invoked from the `UserDefinedPythonDataSourceCommitRunner.runInPython` |
| method in the BatchWrite implementation of the PythonTableProvider. It is |
| responsible for invoking either the `commit` or the `abort` method on a data source |
| writer instance, given a list of commit messages. |
| """ |
| try: |
| check_python_version(infile) |
| |
| memory_limit_mb = int(os.environ.get("PYSPARK_PLANNER_MEMORY_MB", "-1")) |
| setup_memory_limits(memory_limit_mb) |
| |
| setup_spark_files(infile) |
| setup_broadcasts(infile) |
| |
| _accumulatorRegistry.clear() |
| |
| # Receive the data source writer instance. |
| writer = pickleSer._read_with_length(infile) |
| assert isinstance(writer, DataSourceWriter) |
| |
| # Receive the commit messages. |
| num_messages = read_int(infile) |
| commit_messages = [] |
| for _ in range(num_messages): |
| message = pickleSer._read_with_length(infile) |
| if message is not None and not isinstance(message, WriterCommitMessage): |
| raise PySparkAssertionError( |
| errorClass="DATA_SOURCE_TYPE_MISMATCH", |
| messageParameters={ |
| "expected": "an instance of WriterCommitMessage", |
| "actual": f"'{type(message).__name__}'", |
| }, |
| ) |
| commit_messages.append(message) |
| |
| # Receive a boolean to indicate whether to invoke `abort`. |
| abort = read_bool(infile) |
| |
| # Commit or abort the Python data source write. |
| # Note the commit messages can be None if there are failed tasks. |
| if abort: |
| writer.abort(commit_messages) |
| else: |
| writer.commit(commit_messages) |
| |
| # Send a status code back to JVM. |
| write_int(0, outfile) |
| |
| except BaseException as e: |
| handle_worker_exception(e, outfile) |
| sys.exit(-1) |
| |
| send_accumulator_updates(outfile) |
| |
| # check end of stream |
| if read_int(infile) == SpecialLengths.END_OF_STREAM: |
| write_int(SpecialLengths.END_OF_STREAM, outfile) |
| else: |
| # write a different value to tell JVM to not reuse this worker |
| write_int(SpecialLengths.END_OF_DATA_SECTION, outfile) |
| sys.exit(-1) |
| |
| |
| if __name__ == "__main__": |
| # Read information about how to connect back to the JVM from the environment. |
| java_port = int(os.environ["PYTHON_WORKER_FACTORY_PORT"]) |
| auth_secret = os.environ["PYTHON_WORKER_FACTORY_SECRET"] |
| (sock_file, _) = local_connect_and_auth(java_port, auth_secret) |
| write_int(os.getpid(), sock_file) |
| sock_file.flush() |
| main(sock_file, sock_file) |