| /** |
| * 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.kafka.streams.kstream.internals; |
| |
| import org.apache.kafka.clients.producer.internals.DefaultPartitioner; |
| import org.apache.kafka.common.Cluster; |
| import org.apache.kafka.common.Node; |
| import org.apache.kafka.common.PartitionInfo; |
| import org.apache.kafka.common.serialization.IntegerSerializer; |
| import org.apache.kafka.common.serialization.StringSerializer; |
| import org.apache.kafka.streams.kstream.Windowed; |
| import org.junit.Test; |
| |
| import java.util.Arrays; |
| import java.util.Collections; |
| import java.util.List; |
| import java.util.Random; |
| |
| import static org.junit.Assert.assertEquals; |
| |
| public class WindowedStreamPartitionerTest { |
| |
| private String topicName = "topic"; |
| |
| private IntegerSerializer intSerializer = new IntegerSerializer(); |
| private StringSerializer stringSerializer = new StringSerializer(); |
| |
| private List<PartitionInfo> infos = Arrays.asList( |
| new PartitionInfo(topicName, 0, Node.noNode(), new Node[0], new Node[0]), |
| new PartitionInfo(topicName, 1, Node.noNode(), new Node[0], new Node[0]), |
| new PartitionInfo(topicName, 2, Node.noNode(), new Node[0], new Node[0]), |
| new PartitionInfo(topicName, 3, Node.noNode(), new Node[0], new Node[0]), |
| new PartitionInfo(topicName, 4, Node.noNode(), new Node[0], new Node[0]), |
| new PartitionInfo(topicName, 5, Node.noNode(), new Node[0], new Node[0]) |
| ); |
| |
| private Cluster cluster = new Cluster(Arrays.asList(Node.noNode()), infos, Collections.<String>emptySet()); |
| |
| @Test |
| public void testCopartitioning() { |
| |
| Random rand = new Random(); |
| |
| DefaultPartitioner defaultPartitioner = new DefaultPartitioner(); |
| |
| WindowedSerializer<Integer> windowedSerializer = new WindowedSerializer<>(intSerializer); |
| WindowedStreamPartitioner<Integer, String> streamPartitioner = new WindowedStreamPartitioner<>(windowedSerializer); |
| |
| for (int k = 0; k < 10; k++) { |
| Integer key = rand.nextInt(); |
| byte[] keyBytes = intSerializer.serialize(topicName, key); |
| |
| String value = key.toString(); |
| byte[] valueBytes = stringSerializer.serialize(topicName, value); |
| |
| Integer expected = defaultPartitioner.partition("topic", key, keyBytes, value, valueBytes, cluster); |
| |
| for (int w = 0; w < 10; w++) { |
| HoppingWindow window = new HoppingWindow(10 * w, 20 * w); |
| |
| Windowed<Integer> windowedKey = new Windowed<>(key, window); |
| Integer actual = streamPartitioner.partition(windowedKey, value, infos.size()); |
| |
| assertEquals(expected, actual); |
| } |
| } |
| } |
| |
| } |