Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/20997#discussion_r180221087
--- Diff:
external/kafka-0-10/src/test/scala/org/apache/spark/streaming/kafka010/KafkaDataConsumerSuite.scala
---
@@ -0,0 +1,111 @@
+/*
+ * 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.streaming.kafka010
+
+import java.util.concurrent.{Executors, TimeUnit}
+
+import scala.collection.JavaConverters._
+import scala.util.Random
+
+import org.apache.kafka.clients.consumer.ConsumerConfig._
+import org.apache.kafka.common.TopicPartition
+import org.apache.kafka.common.serialization.ByteArrayDeserializer
+import org.scalatest.BeforeAndAfterAll
+
+import org.apache.spark._
+
+class KafkaDataConsumerSuite extends SparkFunSuite with BeforeAndAfterAll {
+
+ private var testUtils: KafkaTestUtils = _
+
+ override def beforeAll {
+ super.beforeAll()
+ testUtils = new KafkaTestUtils
+ testUtils.setup()
+ }
+
+ override def afterAll {
+ if (testUtils != null) {
+ testUtils.teardown()
+ testUtils = null
+ }
+ super.afterAll()
+ }
+
+ test("concurrent use of KafkaDataConsumer") {
+ KafkaDataConsumer.init(16, 64, 0.75f)
+
+ val topic = "topic" + Random.nextInt()
+ val data = (1 to 1000).map(_.toString)
+ val topicPartition = new TopicPartition(topic, 0)
+ testUtils.createTopic(topic)
+ testUtils.sendMessages(topic, data.toArray)
+
+ val groupId = "groupId"
+ val kafkaParams = Map[String, Object](
+ GROUP_ID_CONFIG -> groupId,
+ BOOTSTRAP_SERVERS_CONFIG -> testUtils.brokerAddress,
+ KEY_DESERIALIZER_CLASS_CONFIG ->
classOf[ByteArrayDeserializer].getName,
+ VALUE_DESERIALIZER_CLASS_CONFIG ->
classOf[ByteArrayDeserializer].getName,
+ AUTO_OFFSET_RESET_CONFIG -> "earliest",
+ ENABLE_AUTO_COMMIT_CONFIG -> "false"
+ )
+
+ val numThreads = 100
+ val numConsumerUsages = 500
+
+ @volatile var error: Throwable = null
+
+ def consume(i: Int): Unit = {
+ val useCache = Random.nextBoolean
+ val taskContext = if (Random.nextBoolean) {
+ new TaskContextImpl(0, 0, 0, 0, attemptNumber = Random.nextInt(2),
null, null, null)
+ } else {
+ null
+ }
+ val consumer = KafkaDataConsumer.acquire[Array[Byte], Array[Byte]](
+ groupId, topicPartition, kafkaParams.asJava, taskContext, useCache)
+ try {
+ val rcvd = 0 until data.length map { offset =>
--- End diff --
style -- just by convetion, ranges are an exception to the usual rule, they
are wrapped with parens `(x until y).map`
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