Github user nikit-os commented on a diff in the pull request:
https://github.com/apache/spark/pull/10294#discussion_r49209284
--- Diff:
external/kafka-v09/src/test/java/org/apache/spark/streaming/kafka/v09/JavaDirectKafkaStreamSuite.java
---
@@ -0,0 +1,181 @@
+/*
+ * 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.kafka.v09;
+
+
+import kafka.common.TopicAndPartition;
+import kafka.message.MessageAndMetadata;
+import kafka.serializer.StringDecoder;
+import org.apache.kafka.clients.consumer.ConsumerConfig;
+import org.apache.kafka.clients.consumer.ConsumerRecord;
+import org.apache.kafka.common.TopicPartition;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.function.Function;
+import org.apache.spark.streaming.Durations;
+import org.apache.spark.streaming.api.java.JavaDStream;
+import org.apache.spark.streaming.api.java.JavaStreamingContext;
+import org.apache.spark.streaming.kafka.v09.HasOffsetRanges;
+import org.apache.spark.streaming.kafka.v09.KafkaTestUtils;
+import org.apache.spark.streaming.kafka.v09.KafkaUtils;
+import org.apache.spark.streaming.kafka.v09.OffsetRange;
+import org.junit.After;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Test;
+import scala.Tuple2;
+
+import java.io.Serializable;
+import java.util.*;
+import java.util.concurrent.atomic.AtomicReference;
+
+public class JavaDirectKafkaStreamSuite implements Serializable {
+ private transient JavaStreamingContext ssc = null;
+ private transient KafkaTestUtils kafkaTestUtils = null;
+
+ @Before
+ public void setUp() {
+ kafkaTestUtils = new KafkaTestUtils();
+ kafkaTestUtils.setup();
+ SparkConf sparkConf = new SparkConf()
+ .setMaster("local[4]").setAppName(this.getClass().getSimpleName());
+ ssc = new JavaStreamingContext(sparkConf, Durations.milliseconds(200));
+ }
+
+ @After
+ public void tearDown() {
+ if (ssc != null) {
+ ssc.stop();
+ ssc = null;
+ }
+
+ if (kafkaTestUtils != null) {
+ kafkaTestUtils.teardown();
+ kafkaTestUtils = null;
+ }
+ }
+
+ @Test
+ public void testKafkaStream() throws InterruptedException {
+ final String topic1 = "new_topic1_testKafkaDirectStream";
+ final String topic2 = "new_topic2_testKafkaDirectStream";
+ // hold a reference to the current offset ranges, so it can be used
downstream
+ final AtomicReference<OffsetRange[]> offsetRanges = new
AtomicReference<>();
+
+ String[] topic1data = createTopicAndSendData(topic1);
+ String[] topic2data = createTopicAndSendData(topic2);
+
+ HashSet<String> sent = new HashSet<String>();
+ sent.addAll(Arrays.asList(topic1data));
+ sent.addAll(Arrays.asList(topic2data));
+
+ HashMap<String, String> kafkaParams = new HashMap<String, String>();
+ kafkaParams.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG,
kafkaTestUtils.brokerAddress());
+ kafkaParams.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
+ kafkaParams.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG,
"org.apache.kafka.common.serialization.StringDeserializer");
+ kafkaParams.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG,
"org.apache.kafka.common.serialization.StringDeserializer");
+ kafkaParams.put("spark.kafka.poll.time", "1000");
+
+ JavaDStream<String> stream1 = KafkaUtils.createDirectStream(
+ ssc,
+ String.class,
+ String.class,
+ kafkaParams,
+ topicToSet(topic1)
+ ).transformToPair(
+ // Make sure you can get offset ranges from the rdd
+ new Function<JavaPairRDD<String, String>, JavaPairRDD<String,
String>>() {
+ @Override
+ public JavaPairRDD<String, String> call(JavaPairRDD<String,
String> rdd) throws Exception {
+ OffsetRange[] offsets = ((HasOffsetRanges)
rdd.rdd()).offsetRanges();
+ offsetRanges.set(offsets);
+ Assert.assertEquals(offsets[0].topic(), topic1);
+ return rdd;
+ }
+ }
+ ).map(
+ new Function<Tuple2<String, String>, String>() {
+ @Override
+ public String call(Tuple2<String, String> kv) throws Exception {
+ return kv._2();
+ }
+ }
+ );
+
+ JavaDStream<String> stream2 = KafkaUtils.createDirectStream(
+ ssc,
+ String.class,
+ String.class,
+ String.class,
+ kafkaParams,
+ topicOffsetToMap(topic2, (long) 0),
+ new Function<ConsumerRecord<String, String>, String>() {
+ @Override
+ public String call(ConsumerRecord<String, String>
consumerRecord) throws Exception {
+ return consumerRecord.value();
+ }
+ }
+ );
+ JavaDStream<String> unifiedStream = stream1.union(stream2);
+
+ final Set<String> result = Collections.synchronizedSet(new
HashSet<String>());
+ unifiedStream.foreachRDD(
+ new Function<JavaRDD<String>, Void>() {
+ @Override
+ public Void call(JavaRDD<String> rdd) throws Exception {
+ result.addAll(rdd.collect());
+ for (OffsetRange o : offsetRanges.get()) {
+ System.out.println(
+ o.topic() + " " + o.partition() + " " + o.fromOffset() +
" " + o.untilOffset()
+ );
+ }
+ return null;
+ }
+ }
+ );
+ ssc.start();
+ long startTime = System.currentTimeMillis();
+ boolean matches = false;
+ while (!matches && System.currentTimeMillis() - startTime < 20000) {
+ matches = sent.size() == result.size();
+ Thread.sleep(50);
+ }
+ Assert.assertEquals(sent, result);
+ ssc.stop();
+ }
+
+ private HashSet<String> topicToSet(String topic) {
--- End diff --
This is my mistake. I began to remake Kafka using version 1.5.2, but then
moved to 1.6.0 and copied the old code without adaptation
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