LuciferYang commented on code in PR #41487: URL: https://github.com/apache/spark/pull/41487#discussion_r1221453908
########## connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/SparkSessionCleanRoomE2ESuite.scala: ########## @@ -0,0 +1,101 @@ +/* + * 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 + +import scala.concurrent.{ExecutionContext, ExecutionContextExecutor, Future} +import scala.concurrent.duration._ +import scala.util.{Failure, Success} + +import org.scalatest.concurrent.Eventually._ + +import org.apache.spark.sql.connect.client.util.RemoteSparkSession +import org.apache.spark.util.ThreadUtils + +/** + * Warning: SPARK-43648 moves two test cases related to `interrupt all` from `ClientE2ETestSuite` + * to the current test class to avoid the maven test issue of missing + * `org.apache.spark.sql.connect.client.SparkResult` during udf deserialization in server side. So + * please don't import classes that only exist in `spark-connect-client-jvm.jar` into the this + * class, as it will trigger similar maven test failures again. + */ +class SparkSessionCleanRoomE2ESuite extends RemoteSparkSession { + + test("interrupt all - background queries, foreground interrupt") { + val session = spark + import session.implicits._ + implicit val ec: ExecutionContextExecutor = ExecutionContext.global + val q1 = Future { + spark.range(10).map(n => { Thread.sleep(30000); n }).collect() Review Comment: > Wouldn't this pop up as a serious and hard to understand issue for users of Spark Connect - when they have their client code, they create a simple UDF closure in a class that imports/uses something totally unrelated to the UDF... and then UDF somehow pulls it in causing inexplicable deserialization problems on the server? @vicennial do we have a way to clean up unused Imports during the udf serialization process? I haven't investigated this yet. -- 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
