vanzin commented on a change in pull request #26845: [SPARK-21869][SS] Revise 
Kafka producer pool to implement 'expire' correctly
URL: https://github.com/apache/spark/pull/26845#discussion_r358414499
 
 

 ##########
 File path: 
external/kafka-0-10-sql/src/test/scala/org/apache/spark/sql/kafka010/producer/InternalKafkaProducerPoolSuite.scala
 ##########
 @@ -0,0 +1,192 @@
+/*
+ * 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.kafka010.producer
+
+import java.{util => ju}
+import java.util.concurrent.{Executors, TimeUnit}
+
+import scala.util.Random
+
+import org.apache.kafka.common.serialization.ByteArraySerializer
+import org.jmock.lib.concurrent.DeterministicScheduler
+
+import org.apache.spark.SparkConf
+import 
org.apache.spark.sql.kafka010.{PRODUCER_CACHE_EVICTOR_THREAD_RUN_INTERVAL, 
PRODUCER_CACHE_TIMEOUT}
+import 
org.apache.spark.sql.kafka010.producer.InternalKafkaProducerPool.CachedProducerEntry
+import org.apache.spark.sql.test.SharedSparkSession
+import org.apache.spark.util.ManualClock
+
+class InternalKafkaProducerPoolSuite extends SharedSparkSession {
+
+  private var pool: InternalKafkaProducerPool = _
+
+  protected override def afterEach(): Unit = {
+    if (pool != null) {
+      try {
+        pool.shutdown()
+        pool = null
+      } catch {
+        // ignore as it's known issue, DeterministicScheduler doesn't support 
shutdown
+        case _: UnsupportedOperationException =>
+      }
+    }
+  }
+
+  test("Should return same cached instance on calling acquire with same 
params.") {
+    pool = new InternalKafkaProducerPool(new SparkConf())
+
+    val kafkaParams = getTestKafkaParams()
+    val producer = pool.acquire(kafkaParams)
+    val producer2 = pool.acquire(kafkaParams)
+    assert(producer === producer2)
 
 Review comment:
   You want them to be the same instance, right? So probably `eq` is more 
correct than `===`.

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