HyukjinKwon commented on code in PR #45023: URL: https://github.com/apache/spark/pull/45023#discussion_r1517351498
########## sql/core/src/main/scala/org/apache/spark/sql/execution/python/PythonStreamingSourceRunner.scala: ########## @@ -0,0 +1,208 @@ +/* + * 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. + */ + + +package org.apache.spark.sql.execution.python + +import java.io.{BufferedInputStream, BufferedOutputStream, DataInputStream, DataOutputStream} + +import scala.collection.mutable.ArrayBuffer +import scala.jdk.CollectionConverters._ + +import org.apache.spark.SparkEnv +import org.apache.spark.api.python.{PythonFunction, PythonWorker, PythonWorkerFactory, PythonWorkerUtils, SpecialLengths} +import org.apache.spark.internal.Logging +import org.apache.spark.internal.config.BUFFER_SIZE +import org.apache.spark.internal.config.Python.{PYTHON_AUTH_SOCKET_TIMEOUT, PYTHON_USE_DAEMON} +import org.apache.spark.sql.errors.{QueryCompilationErrors, QueryExecutionErrors} +import org.apache.spark.sql.types.StructType + +object PythonStreamingSourceRunner { + // When the python process for python_streaming_source_runner receives one of the + // integers below, it will invoke the corresponding function of StreamReader instance. + val INITIAL_OFFSET_FUNC_ID = 884 + val LATEST_OFFSET_FUNC_ID = 885 + val PARTITIONS_FUNC_ID = 886 + val COMMIT_FUNC_ID = 887 +} + +/** + * This class is a proxy to invoke methods in Python DataSourceStreamReader from JVM. + * A runner spawns a python worker process. In the main function, set up communication + * between JVM and python process through socket and create a DataSourceStreamReader instance. + * In an infinite loop, the python worker process poll information(function name and parameters) + * from the socket, invoke the corresponding method of StreamReader and send return value to JVM. + */ +class PythonStreamingSourceRunner( + func: PythonFunction, + outputSchema: StructType) extends Logging { + val workerModule = "pyspark.sql.streaming.python_streaming_source_runner" + + private val conf = SparkEnv.get.conf + private val bufferSize: Int = conf.get(BUFFER_SIZE) + private val authSocketTimeout = conf.get(PYTHON_AUTH_SOCKET_TIMEOUT) + + private val envVars: java.util.Map[String, String] = func.envVars + private val pythonExec: String = func.pythonExec + private var pythonWorker: Option[PythonWorker] = None + private var pythonWorkerFactory: Option[PythonWorkerFactory] = None + private val pythonVer: String = func.pythonVer + + private var dataOut: DataOutputStream = null + private var dataIn: DataInputStream = null + + import PythonStreamingSourceRunner._ + + /** + * Initializes the Python worker for running the streaming source. + */ + def init(): Unit = { Review Comment: Could either @rangadi or @WweiL take a look? This is somewhat similar with foreachBatch. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
