| /** |
| * 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 |
| * <p> |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * <p> |
| * 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.crunch.kafka.record; |
| |
| import org.apache.crunch.Pair; |
| import org.apache.crunch.kafka.ClusterTest; |
| import org.apache.crunch.kafka.KafkaUtils; |
| import org.apache.crunch.kafka.utils.KafkaTestUtils; |
| import org.apache.kafka.clients.consumer.Consumer; |
| import org.apache.kafka.clients.consumer.ConsumerRecord; |
| import org.apache.kafka.clients.consumer.KafkaConsumer; |
| import org.apache.kafka.common.TopicPartition; |
| import org.junit.*; |
| import org.junit.rules.TestName; |
| |
| import java.io.IOException; |
| import java.time.Duration; |
| import java.time.temporal.ChronoUnit; |
| import java.util.*; |
| |
| import static org.apache.crunch.kafka.ClusterTest.writeData; |
| import static org.hamcrest.Matchers.hasItem; |
| import static org.hamcrest.core.Is.is; |
| import static org.junit.Assert.assertThat; |
| import static org.junit.Assert.assertTrue; |
| |
| public class KafkaDataIT { |
| @Rule |
| public TestName testName = new TestName(); |
| |
| private String topic; |
| private Map<TopicPartition, Long> startOffsets; |
| private Map<TopicPartition, Long> stopOffsets; |
| private Map<TopicPartition, Pair<Long, Long>> offsets; |
| private Properties props; |
| private Consumer<String, String> consumer; |
| |
| @BeforeClass |
| public static void init() throws Exception { |
| ClusterTest.startTest(); |
| } |
| |
| @AfterClass |
| public static void cleanup() throws Exception { |
| ClusterTest.endTest(); |
| } |
| |
| @Before |
| public void setup() { |
| topic = UUID.randomUUID().toString(); |
| |
| props = ClusterTest.getConsumerProperties(); |
| |
| startOffsets = new HashMap<>(); |
| stopOffsets = new HashMap<>(); |
| offsets = new HashMap<>(); |
| for (int i = 0; i < 4; i++) { |
| TopicPartition tp = new TopicPartition(topic, i); |
| startOffsets.put(tp, 0L); |
| stopOffsets.put(tp, 100L); |
| |
| offsets.put(tp, Pair.of(0L, 100L)); |
| } |
| |
| consumer = new KafkaConsumer<>(props); |
| } |
| |
| @Test |
| public void getDataIterable() throws IOException { |
| int loops = 10; |
| int numPerLoop = 100; |
| int total = loops * numPerLoop; |
| List<String> keys = writeData(props, topic, "batch", loops, numPerLoop); |
| |
| startOffsets = KafkaTestUtils.getStartOffsets(consumer, topic); |
| stopOffsets = KafkaTestUtils.getStopOffsets(consumer, topic); |
| |
| Map<TopicPartition, Pair<Long, Long>> offsets = new HashMap<>(); |
| for (Map.Entry<TopicPartition, Long> entry : startOffsets.entrySet()) { |
| offsets.put(entry.getKey(), Pair.of(entry.getValue(), stopOffsets.get(entry.getKey()))); |
| } |
| |
| Iterable<ConsumerRecord<String, String>> data = new KafkaData<String, String>(props, offsets).read(null); |
| |
| int count = 0; |
| for (ConsumerRecord<String, String> record : data) { |
| assertThat(keys, hasItem(record.key())); |
| assertTrue(keys.remove(record.key())); |
| count++; |
| } |
| |
| assertThat(count, is(total)); |
| assertThat(keys.size(), is(0)); |
| } |
| } |