hvanhovell commented on code in PR #40783: URL: https://github.com/apache/spark/pull/40783#discussion_r1169033258
########## connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/StreamingQuery.scala: ########## @@ -0,0 +1,245 @@ +/* + * 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.streaming + +import java.util.UUID +import java.util.concurrent.TimeoutException + +import scala.collection.JavaConverters._ + +import org.apache.spark.annotation.Evolving +import org.apache.spark.connect.proto.Command +import org.apache.spark.connect.proto.ExecutePlanResponse +import org.apache.spark.connect.proto.StreamingQueryCommand +import org.apache.spark.connect.proto.StreamingQueryCommandResult +import org.apache.spark.sql.SparkSession + +/** + * A handle to a query that is executing continuously in the background as new data arrives. All + * these methods are thread-safe. + * @since 3.5.0 + */ +@Evolving +trait StreamingQuery { + // This is a copy of StreamingQuery in sql/core/.../streaming/StreamingQuery.scala + + /** + * Returns the user-specified name of the query, or null if not specified. This name can be + * specified in the `org.apache.spark.sql.streaming.DataStreamWriter` as + * `dataframe.writeStream.queryName("query").start()`. This name, if set, must be unique across + * all active queries. + * + * @since 3.5.0 + */ + def name: String + + /** + * Returns the unique id of this query that persists across restarts from checkpoint data. That + * is, this id is generated when a query is started for the first time, and will be the same + * every time it is restarted from checkpoint data. Also see [[runId]]. + * + * @since 3.5.0 + */ + def id: UUID + + /** + * Returns the unique id of this run of the query. That is, every start/restart of a query will + * generate a unique runId. Therefore, every time a query is restarted from checkpoint, it will + * have the same [[id]] but different [[runId]]s. + */ + def runId: UUID + + /** + * Returns the `SparkSession` associated with `this`. + * + * @since 3.5.0 + */ + def sparkSession: SparkSession + + /** + * Returns `true` if this query is actively running. + * + * @since 3.5.0 + */ + def isActive: Boolean + + /** + * Returns the current status of the query. + * + * @since 3.5.0 + */ + def status: StreamingQueryStatus + + /** + * Returns an array of the most recent [[StreamingQueryProgress]] updates for this query. The + * number of progress updates retained for each stream is configured by Spark session + * configuration `spark.sql.streaming.numRecentProgressUpdates`. + * + * @since 3.5.0 + */ + def recentProgress: Array[StreamingQueryProgress] + + /** + * Returns the most recent [[StreamingQueryProgress]] update of this streaming query. + * + * @since 3.5.0 + */ + def lastProgress: StreamingQueryProgress + + /** + * Blocks until all available data in the source has been processed and committed to the sink. + * This method is intended for testing. Note that in the case of continually arriving data, this + * method may block forever. Additionally, this method is only guaranteed to block until data + * that has been synchronously appended data to a + * `org.apache.spark.sql.execution.streaming.Source` prior to invocation. (i.e. `getOffset` must + * immediately reflect the addition). + * @since 3.5.0 + */ + def processAllAvailable(): Unit + + /** + * Stops the execution of this query if it is running. This waits until the termination of the + * query execution threads or until a timeout is hit. + * + * By default stop will block indefinitely. You can configure a timeout by the configuration + * `spark.sql.streaming.stopTimeout`. A timeout of 0 (or negative) milliseconds will block + * indefinitely. If a `TimeoutException` is thrown, users can retry stopping the stream. If the + * issue persists, it is advisable to kill the Spark application. + * + * @since 3.5.0 + */ + @throws[TimeoutException] + def stop(): Unit + + /** + * Prints the physical plan to the console for debugging purposes. + * @since 3.5.0 + */ + def explain(): Unit + + /** + * Prints the physical plan to the console for debugging purposes. + * + * @param extended + * whether to do extended explain or not + * @since 3.5.0 + */ + def explain(extended: Boolean): Unit +} + +class RemoteStreamingQuery( Review Comment: A somewhat related question, is it worth the trouble to see if we can use a single result collection and query monitoring code path? -- 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. 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