chaoqin-li1123 commented on code in PR #45023: URL: https://github.com/apache/spark/pull/45023#discussion_r1490211705
########## python/pyspark/sql/streaming/python_streaming_source_runner.py: ########## @@ -0,0 +1,178 @@ +# +# 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 +import functools +import json +from itertools import islice +from typing import IO, List, Iterator, Iterable + +from pyspark.accumulators import _accumulatorRegistry +from pyspark.errors import PySparkAssertionError, PySparkRuntimeError +from pyspark.java_gateway import local_connect_and_auth +from pyspark.serializers import ( + read_int, + write_int, + write_with_length, + SpecialLengths, +) +from pyspark.sql.connect.conversion import ArrowTableToRowsConversion, LocalDataToArrowConversion +from pyspark.sql.datasource import DataSource, InputPartition +from pyspark.sql.pandas.types import to_arrow_schema +from pyspark.sql.types import ( + _parse_datatype_json_string, + BinaryType, + StructType, +) +from pyspark.util import handle_worker_exception +from pyspark.worker_util import ( + check_python_version, + read_command, + pickleSer, + send_accumulator_updates, + setup_broadcasts, + setup_memory_limits, + setup_spark_files, + utf8_deserializer, +) + +initial_offset_func_id = 884 +latest_offset_func_id = 885 +partitions_func_id = 886 +commit_func_id = 887 + + +def initial_offset_func(reader, outfile): + offset = reader.initialOffset() + write_with_length(json.dumps(offset).encode("utf-8"), outfile) + + +def latest_offset_func(reader, outfile): + offset = reader.latestOffset() + write_with_length(json.dumps(offset).encode("utf-8"), outfile) + + +def partitions_func(reader, infile, outfile): + start_offset = json.loads(utf8_deserializer.loads(infile)) + end_offset = json.loads(utf8_deserializer.loads(infile)) + partitions = reader.partitions(start_offset, end_offset) + # Return the serialized partition values. + write_int(len(partitions), outfile) + for partition in partitions: + pickleSer._write_with_length(partition, outfile) + + +def commit_func(reader, infile, outfile): + end_offset = json.loads(utf8_deserializer.loads(infile)) + reader.commit(end_offset) + write_int(0, outfile) + + +def main(infile: IO, outfile: IO) -> None: + try: + check_python_version(infile) + setup_spark_files(infile) + + memory_limit_mb = int(os.environ.get("PYSPARK_PLANNER_MEMORY_MB", "-1")) + setup_memory_limits(memory_limit_mb) + + _accumulatorRegistry.clear() + + # Receive the data source instance. + data_source = read_command(pickleSer, infile) + + if not isinstance(data_source, DataSource): + raise PySparkAssertionError( + error_class="PYTHON_DATA_SOURCE_TYPE_MISMATCH", + message_parameters={ + "expected": "a Python data source instance of type 'DataSource'", + "actual": f"'{type(data_source).__name__}'", + }, + ) + + # Receive the data source output schema. + schema_json = utf8_deserializer.loads(infile) + schema = _parse_datatype_json_string(schema_json) + if not isinstance(schema, StructType): + raise PySparkAssertionError( + error_class="PYTHON_DATA_SOURCE_TYPE_MISMATCH", + message_parameters={ + "expected": "an output schema of type 'StructType'", + "actual": f"'{type(schema).__name__}'", + }, + ) + + # Receive the configuration values. + max_arrow_batch_size = read_int(infile) + assert max_arrow_batch_size > 0, ( + "The maximum arrow batch size should be greater than 0, but got " + f"'{max_arrow_batch_size}'" + ) + + # Instantiate data source reader. + try: + reader = data_source.streamReader(schema=schema) + # Initialization succeed. + write_int(0, outfile) + outfile.flush() + + # handle method call from socket + while True: + func_id = read_int(infile) + if func_id == initial_offset_func_id: + initial_offset_func(reader, outfile) + elif func_id == latest_offset_func_id: + latest_offset_func(reader, outfile) + elif func_id == partitions_func_id: + partitions_func(reader, infile, outfile) + elif func_id == commit_func_id: + commit_func(reader, infile, outfile) + outfile.flush() + + except NotImplementedError: + raise PySparkRuntimeError( + error_class="PYTHON_DATA_SOURCE_METHOD_NOT_IMPLEMENTED", + message_parameters={"type": "reader", "method": "reader"}, + ) + except Exception as e: Review Comment: Changed to PYTHON_STREAMING_DATA_SOURCE_RUNTIME_ERROR error class. -- This is an automated message from the Apache Git Service. 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