Skip to content
Closed
Show file tree
Hide file tree
Changes from 3 commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
Expand Up @@ -50,6 +50,11 @@ private[hive] object SparkSQLEnv extends Logging {
sparkContext = sparkSession.sparkContext
sqlContext = sparkSession.sqlContext

// SPARK-29604: force initialization of the session state with the Spark class loader,
// instead of having it happen during the initialization of the Hive client (which may use a
// different class loader).
sparkSession.sessionState

val metadataHive = sparkSession
.sharedState.externalCatalog.unwrapped.asInstanceOf[HiveExternalCatalog].client
metadataHive.setOut(new PrintStream(System.out, true, UTF_8.name()))
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,91 @@
/*
* 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.hive.thriftserver

import org.apache.spark.SparkFunSuite
import org.apache.spark.launcher.SparkLauncher
import org.apache.spark.sql.hive.HiveUtils.{HIVE_METASTORE_JARS, HIVE_METASTORE_VERSION}
import org.apache.spark.sql.hive.test.TestHiveContext
import org.apache.spark.sql.hive.thriftserver.__root__.test.custom.listener.{DummyQueryExecutionListener, DummyStreamingQueryListener}

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

import test.custom.listener...

import org.apache.spark.sql.internal.StaticSQLConf.{QUERY_EXECUTION_LISTENERS, STREAMING_QUERY_LISTENERS, WAREHOUSE_PATH}

class SparkSQLEnvSuite extends SparkFunSuite {
test("SPARK-29604 external listeners should be initialized with Spark classloader") {
withSystemProperties(
QUERY_EXECUTION_LISTENERS.key -> classOf[DummyQueryExecutionListener].getCanonicalName,
STREAMING_QUERY_LISTENERS.key -> classOf[DummyStreamingQueryListener].getCanonicalName,
WAREHOUSE_PATH.key -> TestHiveContext.makeWarehouseDir().toURI.getPath,
// The issue occured from "maven" and list of custom jars, but providing list of custom
// jars to initialize HiveClient isn't trivial, so just use "maven".
HIVE_METASTORE_JARS.key -> "maven",

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Can we avoid the dependency on the maven access? This might make it flaky when the maven access is not stable.

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

cc @wangyum Could you take a look and address it?

Copy link
Copy Markdown
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Ideally we would be better to avoid any flaky things, but there's a technical reason to do so - alternative option would be list of jars but then the list of jars we provide should be able to load Hive. Moreover, if I understand correctly, Spark needs to pull Hive artifacts from maven/ivy to build, and some suites in spark-sql-hive also try to pull Hive artifacts.

HIVE_METASTORE_VERSION.key -> null,
SparkLauncher.SPARK_MASTER -> "local[2]",
"spark.app.name" -> "testApp") {

try {
SparkSQLEnv.init()
} finally {
SparkSQLEnv.stop()
}
}
}

private def withSystemProperties(pairs: (String, String)*)(f: => Unit): Unit = {
def setProperties(properties: Seq[(String, String)]): Unit = {
properties.foreach { case (key, value) =>
if (value != null) {
System.setProperty(key, value)
} else {
System.clearProperty(key)
}
}
}

val oldValues = pairs.map { kv => kv._1 -> System.getProperty(kv._1) }
try {
setProperties(pairs)
f
} finally {
setProperties(oldValues)
}
}
}

/**
* These classes in this package are intentionally placed to the outer package of spark,
* because IsolatedClientLoader leverages Spark classloader for shared classess including
* spark package, and the test should fail if Spark initializes these listeners with
* IsolatedClientLoader.
*/
package __root__.test.custom.listener {

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Sorry, my bad, I tested this again and it's not working as I first thought. Not sure what I did the first time.

Seems you do have to keep these in a separate file; but I'd keep both classes in the same file, and place the file in this same directory (Scala doesn't enforce the package to match the directory structure), instead of having them in a completely separate tree like before.

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

(for the curious, the correct is actually _root_, one underscore; and it only seems to work as intended in imports.)

Copy link
Copy Markdown
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Ah OK I thought I ran test to see whether the test fails on master, but I might missed that. After commenting out for change in SparkSQLEnv it still passes (as its package is belong to shared class)

I'll create a new file reflecting it.


import org.apache.spark.sql.execution.QueryExecution
import org.apache.spark.sql.streaming.StreamingQueryListener
import org.apache.spark.sql.util.QueryExecutionListener

class DummyQueryExecutionListener extends QueryExecutionListener {
override def onSuccess(funcName: String, qe: QueryExecution, durationNs: Long): Unit = {}
override def onFailure(funcName: String, qe: QueryExecution, error: Throwable): Unit = {}
}

class DummyStreamingQueryListener extends StreamingQueryListener {
override def onQueryStarted(event: StreamingQueryListener.QueryStartedEvent): Unit = {}
override def onQueryProgress(event: StreamingQueryListener.QueryProgressEvent): Unit = {}
override def onQueryTerminated(event: StreamingQueryListener.QueryTerminatedEvent): Unit = {}
}
}