rangadi commented on code in PR #40937: URL: https://github.com/apache/spark/pull/40937#discussion_r1180745917
########## connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala: ########## @@ -0,0 +1,209 @@ +/* + * 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.connect.service + +import java.util.concurrent.Executors +import java.util.concurrent.ScheduledExecutorService +import java.util.concurrent.TimeUnit +import javax.annotation.concurrent.GuardedBy + +import scala.collection.mutable +import scala.concurrent.duration.Duration +import scala.concurrent.duration.DurationInt +import scala.util.control.NonFatal + +import org.apache.spark.internal.Logging +import org.apache.spark.sql.SparkSession +import org.apache.spark.sql.streaming.StreamingQuery +import org.apache.spark.util.Clock +import org.apache.spark.util.SystemClock + +/** + * Caches Spark-Connect streaming query references and the sessions. When a query is stopped (i.e. + * no longer active), it is cached for 1 hour so that it is accessible from the client side. It + * runs a background thread to run a periodic task that does the following: + * - Check the status of the queries, and drops those that expired (1 hour after being stopped). + * - Keep the associated session active by invoking supplied function `sessionKeepAliveFn`. + * + * This class helps with supporting following semantics for streaming query sessions: + * - Keep the session and session mapping at connect server alive as long as a streaming query + * is active. Even if the client side has disconnected. + * - This matches how streaming queries behave in Spark. The queries continue to run if + * notebook or job session is lost. + * - Once a query is stopped, the reference and mappings are maintained for 1 hour and will be + * accessible from the client. This allows time for client to fetch status. If the client + * continues to access the query, it stays in the cache until 1 hour of inactivity. + * + * Note that these semantics are evolving and might change before being finalized in Connect. + */ +private[connect] class SparkConnectStreamingQueryCache( + val sessionKeepAliveFn: (String, String) => Unit, // (userId, sessionId) => Unit. + val clock: Clock = new SystemClock(), + private val stoppedQueryInactivityTimeout: Duration = 1.hour, // Configurable for testing. + private val sessionPollingPeriod: Duration = 1.minute // Configurable for testing. +) extends Logging { + + import SparkConnectStreamingQueryCache._ + + def registerNewStreamingQuery(sessionHolder: SessionHolder, query: StreamingQuery): Unit = { + queryCacheLock.synchronized { + val value = QueryCacheValue( + userId = sessionHolder.userId, + sessionId = sessionHolder.sessionId, + session = sessionHolder.session, + query = query, + expiresAtMs = None) + + queryCache.put(QueryCacheKey(query.id.toString, query.runId.toString), value) match { + case Some(existing) => // Query is being replace. Not really expected. + log.warn( + s"Replacing existing query in the cache (unexpected). Query Id: ${query.id}." + + s"Existing value $existing, new value $value.") + case None => + log.info(s"Adding new query to the cache. Query Id ${query.id}, value $value.") + } + + schedulePeriodicChecks() // Starts the scheduler thread if it hasn't started. + } + } + + /** + * Returns [[StreamingQuery]] if it is cached and session matches the cached query. It ensures + * the the session associated with it matches the session passed into the call. If the query is + * inactive (i.e. it has a cache expiry time set), this access extends its expiry time. So + * if a client keeps accessing a query, it stays in the cache. + */ + def getCachedQuery(queryId: String, runId: String, session: SparkSession): + Option[StreamingQuery] = { + val key = QueryCacheKey(queryId, runId) + queryCacheLock.synchronized { + queryCache.get(key).flatMap { v => + if (v.session == session) { + v.expiresAtMs.foreach { _ => + // Extend the expiry time as the client is accessing it. + val expiresAtMs = clock.getTimeMillis() + stoppedQueryInactivityTimeout.toMillis + queryCache.put(key, v.copy(expiresAtMs = Some(expiresAtMs))) + } + Some(v.query) + } + else None // This should be rare, may be client is trying access from a different session. + } + } + } + + // Visible for testing + private[service] def cacheQueryValue(queryId: String, runId: String): Option[QueryCacheValue] = Review Comment: Rename it to `getCachedValue()`. This is only accessed in tests. ########## connector/connect/server/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamingQueryCache.scala: ########## @@ -0,0 +1,209 @@ +/* + * 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.connect.service + +import java.util.concurrent.Executors +import java.util.concurrent.ScheduledExecutorService +import java.util.concurrent.TimeUnit +import javax.annotation.concurrent.GuardedBy + +import scala.collection.mutable +import scala.concurrent.duration.Duration +import scala.concurrent.duration.DurationInt +import scala.util.control.NonFatal + +import org.apache.spark.internal.Logging +import org.apache.spark.sql.SparkSession +import org.apache.spark.sql.streaming.StreamingQuery +import org.apache.spark.util.Clock +import org.apache.spark.util.SystemClock + +/** + * Caches Spark-Connect streaming query references and the sessions. When a query is stopped (i.e. + * no longer active), it is cached for 1 hour so that it is accessible from the client side. It + * runs a background thread to run a periodic task that does the following: + * - Check the status of the queries, and drops those that expired (1 hour after being stopped). + * - Keep the associated session active by invoking supplied function `sessionKeepAliveFn`. + * + * This class helps with supporting following semantics for streaming query sessions: + * - Keep the session and session mapping at connect server alive as long as a streaming query + * is active. Even if the client side has disconnected. + * - This matches how streaming queries behave in Spark. The queries continue to run if + * notebook or job session is lost. + * - Once a query is stopped, the reference and mappings are maintained for 1 hour and will be + * accessible from the client. This allows time for client to fetch status. If the client + * continues to access the query, it stays in the cache until 1 hour of inactivity. + * + * Note that these semantics are evolving and might change before being finalized in Connect. + */ +private[connect] class SparkConnectStreamingQueryCache( + val sessionKeepAliveFn: (String, String) => Unit, // (userId, sessionId) => Unit. + val clock: Clock = new SystemClock(), + private val stoppedQueryInactivityTimeout: Duration = 1.hour, // Configurable for testing. + private val sessionPollingPeriod: Duration = 1.minute // Configurable for testing. +) extends Logging { + + import SparkConnectStreamingQueryCache._ + + def registerNewStreamingQuery(sessionHolder: SessionHolder, query: StreamingQuery): Unit = { + queryCacheLock.synchronized { + val value = QueryCacheValue( + userId = sessionHolder.userId, + sessionId = sessionHolder.sessionId, + session = sessionHolder.session, + query = query, + expiresAtMs = None) + + queryCache.put(QueryCacheKey(query.id.toString, query.runId.toString), value) match { + case Some(existing) => // Query is being replace. Not really expected. + log.warn( + s"Replacing existing query in the cache (unexpected). Query Id: ${query.id}." + + s"Existing value $existing, new value $value.") + case None => + log.info(s"Adding new query to the cache. Query Id ${query.id}, value $value.") + } + + schedulePeriodicChecks() // Starts the scheduler thread if it hasn't started. + } + } + + /** + * Returns [[StreamingQuery]] if it is cached and session matches the cached query. It ensures + * the the session associated with it matches the session passed into the call. If the query is + * inactive (i.e. it has a cache expiry time set), this access extends its expiry time. So + * if a client keeps accessing a query, it stays in the cache. + */ + def getCachedQuery(queryId: String, runId: String, session: SparkSession): + Option[StreamingQuery] = { + val key = QueryCacheKey(queryId, runId) + queryCacheLock.synchronized { + queryCache.get(key).flatMap { v => + if (v.session == session) { + v.expiresAtMs.foreach { _ => + // Extend the expiry time as the client is accessing it. + val expiresAtMs = clock.getTimeMillis() + stoppedQueryInactivityTimeout.toMillis + queryCache.put(key, v.copy(expiresAtMs = Some(expiresAtMs))) + } + Some(v.query) + } + else None // This should be rare, may be client is trying access from a different session. + } + } + } + + // Visible for testing + private[service] def cacheQueryValue(queryId: String, runId: String): Option[QueryCacheValue] = Review Comment: Renamed it to `getCachedValue()`. This is only accessed in tests. -- 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: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
