gaborgsomogyi commented on a change in pull request #22138: [SPARK-25151][SS] 
Apply Apache Commons Pool to KafkaDataConsumer
URL: https://github.com/apache/spark/pull/22138#discussion_r318061828
 
 

 ##########
 File path: 
external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/FetchedDataPool.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
+
+import java.{util => ju}
+import java.util.concurrent.{ScheduledExecutorService, ScheduledFuture, 
TimeUnit}
+import java.util.concurrent.atomic.LongAdder
+
+import scala.collection.mutable
+
+import org.apache.kafka.clients.consumer.ConsumerRecord
+
+import org.apache.spark.SparkEnv
+import org.apache.spark.internal.Logging
+import org.apache.spark.sql.kafka010.KafkaDataConsumer.{CacheKey, 
UNKNOWN_OFFSET}
+import org.apache.spark.util.{Clock, SystemClock, ThreadUtils, Utils}
+
+/**
+ * Provides object pool for [[FetchedData]] which is grouped by [[CacheKey]].
+ *
+ * Along with CacheKey, it receives desired start offset to find cached 
FetchedData which
+ * may be stored from previous batch. If it can't find one to match, it will 
create
+ * a new FetchedData. As "desired start offset" plays as second level of key 
which can be
+ * modified in same instance, this class cannot be replaced with general pool 
implementations
+ * including Apache Commons Pool which pools KafkaConsumer.
+ */
+private[kafka010] class FetchedDataPool(
+    executorService: ScheduledExecutorService,
+    clock: Clock) extends Logging {
+  import FetchedDataPool._
+
+  private val cache: mutable.Map[CacheKey, CachedFetchedDataList] = 
mutable.HashMap.empty
+
+  private val (minEvictableIdleTimeMillis, evictorThreadRunIntervalMillis): 
(Long, Long) = {
+    val conf = SparkEnv.get.conf
+
+    val minEvictIdleTime = 
conf.get(CONSUMER_CACHE_MIN_EVICTABLE_IDLE_TIME_MILLIS)
+    val evictorThreadInterval = 
conf.get(CONSUMER_CACHE_EVICTOR_THREAD_RUN_INTERVAL_MILLIS)
+
+    (minEvictIdleTime, evictorThreadInterval)
+  }
+
+  private def startEvictorThread(): ScheduledFuture[_] = {
+    executorService.scheduleAtFixedRate(new Runnable {
 
 Review comment:
   I think this can be simplified:
   ```
     private def startEvictorThread(): ScheduledFuture[_] = {
       executorService.scheduleAtFixedRate(() => {
         Utils.tryLogNonFatalError(removeIdleFetchedData())
       }, 0, evictorThreadRunIntervalMillis, TimeUnit.MILLISECONDS)
     }
   ```
   

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