You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@kafka.apache.org by vv...@apache.org on 2022/09/30 15:50:54 UTC
[kafka] branch repro-task-idling-problem updated (48f6c042315 -> e15bb6c3df7)
This is an automated email from the ASF dual-hosted git repository.
vvcephei pushed a change to branch repro-task-idling-problem
in repository https://gitbox.apache.org/repos/asf/kafka.git
discard 48f6c042315 MINOR: Add TaskIdlingIntegrationTest
discard 95847cf747c tmp
new e15bb6c3df7 MINOR: Add TaskIdlingIntegrationTest
This update added new revisions after undoing existing revisions.
That is to say, some revisions that were in the old version of the
branch are not in the new version. This situation occurs
when a user --force pushes a change and generates a repository
containing something like this:
* -- * -- B -- O -- O -- O (48f6c042315)
\
N -- N -- N refs/heads/repro-task-idling-problem (e15bb6c3df7)
You should already have received notification emails for all of the O
revisions, and so the following emails describe only the N revisions
from the common base, B.
Any revisions marked "omit" are not gone; other references still
refer to them. Any revisions marked "discard" are gone forever.
The 1 revisions listed above as "new" are entirely new to this
repository and will be described in separate emails. The revisions
listed as "add" were already present in the repository and have only
been added to this reference.
Summary of changes:
.../KafkaStreamsCloseOptionsIntegrationTest.java | 32 ++++++----------------
1 file changed, 9 insertions(+), 23 deletions(-)
[kafka] 01/01: MINOR: Add TaskIdlingIntegrationTest
Posted by vv...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
vvcephei pushed a commit to branch repro-task-idling-problem
in repository https://gitbox.apache.org/repos/asf/kafka.git
commit e15bb6c3df791a6d41608c3fe57d822c948fe6b2
Author: John Roesler <jo...@vvcephei.org>
AuthorDate: Fri Sep 30 10:50:05 2022 -0500
MINOR: Add TaskIdlingIntegrationTest
---
.../integration/TaskIdlingIntegrationTest.java | 241 +++++++++++++++++++++
1 file changed, 241 insertions(+)
diff --git a/streams/src/test/java/org/apache/kafka/streams/integration/TaskIdlingIntegrationTest.java b/streams/src/test/java/org/apache/kafka/streams/integration/TaskIdlingIntegrationTest.java
new file mode 100644
index 00000000000..f531273ab9e
--- /dev/null
+++ b/streams/src/test/java/org/apache/kafka/streams/integration/TaskIdlingIntegrationTest.java
@@ -0,0 +1,241 @@
+/*
+ * 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.integration;
+
+import kafka.utils.MockTime;
+import org.apache.kafka.clients.consumer.ConsumerConfig;
+import org.apache.kafka.clients.consumer.ConsumerRecord;
+import org.apache.kafka.clients.consumer.ConsumerRecords;
+import org.apache.kafka.clients.consumer.KafkaConsumer;
+import org.apache.kafka.clients.producer.KafkaProducer;
+import org.apache.kafka.clients.producer.Producer;
+import org.apache.kafka.clients.producer.ProducerConfig;
+import org.apache.kafka.clients.producer.ProducerRecord;
+import org.apache.kafka.common.PartitionInfo;
+import org.apache.kafka.common.TopicPartition;
+import org.apache.kafka.common.serialization.*;
+import org.apache.kafka.common.utils.Time;
+import org.apache.kafka.common.utils.Utils;
+import org.apache.kafka.streams.KafkaStreams;
+import org.apache.kafka.streams.KeyValue;
+import org.apache.kafka.streams.StreamsBuilder;
+import org.apache.kafka.streams.StreamsConfig;
+import org.apache.kafka.streams.integration.utils.EmbeddedKafkaCluster;
+import org.apache.kafka.streams.integration.utils.IntegrationTestUtils;
+import org.apache.kafka.streams.kstream.*;
+import org.apache.kafka.streams.processor.StateStore;
+import org.apache.kafka.streams.processor.api.*;
+import org.apache.kafka.streams.processor.api.Record;
+import org.apache.kafka.streams.state.KeyValueStore;
+import org.apache.kafka.streams.state.Stores;
+import org.apache.kafka.test.IntegrationTest;
+import org.apache.kafka.test.TestUtils;
+import org.hamcrest.Matchers;
+import org.junit.*;
+import org.junit.experimental.categories.Category;
+import org.junit.rules.Timeout;
+
+import java.io.IOException;
+import java.time.Duration;
+import java.util.*;
+import java.util.concurrent.ConcurrentLinkedDeque;
+import java.util.stream.Collectors;
+
+import static java.time.Duration.ofSeconds;
+import static org.hamcrest.MatcherAssert.assertThat;
+import static org.junit.Assert.assertEquals;
+
+@Category({IntegrationTest.class})
+public class TaskIdlingIntegrationTest {
+ @Rule
+ public Timeout globalTimeout = Timeout.seconds(600);
+ private final static int NUM_BROKERS = 1;
+
+ public final static EmbeddedKafkaCluster CLUSTER = new EmbeddedKafkaCluster(NUM_BROKERS);
+ private final static MockTime MOCK_TIME = CLUSTER.time;
+ private final static String STREAM_1 = "STREAM_1";
+ private final static String STREAM_2 = "STREAM_2";
+ private final static String STREAM_3 = "STREAM_3";
+ private final static String STREAM_4 = "STREAM_4";
+ private final Properties streamsConfig = Utils.mkProperties(
+ Utils.mkMap(
+ Utils.mkEntry(StreamsConfig.APPLICATION_ID_CONFIG, "TaskIdlingIT"),
+ Utils.mkEntry(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers()),
+ Utils.mkEntry(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest")
+ )
+ );
+ private static Properties CONSUMER_CONFIG;
+ private static Properties PRODUCER_CONFIG_1;
+
+ @BeforeClass
+ public static void startCluster() throws IOException, InterruptedException {
+ CLUSTER.start();
+ //Use multiple partitions to ensure distribution of keys.
+ CONSUMER_CONFIG = Utils.mkProperties(
+ Utils.mkMap(
+ Utils.mkEntry(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers()),
+ Utils.mkEntry(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName()),
+ Utils.mkEntry(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, IntegerDeserializer.class.getName())
+ )
+ );
+
+ PRODUCER_CONFIG_1 = Utils.mkProperties(
+ Utils.mkMap(
+ Utils.mkEntry(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers()),
+ Utils.mkEntry(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, IntegerSerializer.class.getName()),
+ Utils.mkEntry(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, IntegerSerializer.class.getName())
+ )
+ );
+
+ CLUSTER.createTopic(STREAM_1, 1, 1);
+ CLUSTER.createTopic(STREAM_2, 1, 1);
+ CLUSTER.createTopic(STREAM_3, 1, 1);
+ CLUSTER.createTopic(STREAM_4, 1, 1);
+
+ try (final Producer<Object, Object> producer = new KafkaProducer<>(PRODUCER_CONFIG_1)) {
+ String[] inputs = {STREAM_1, STREAM_2, STREAM_3};
+ for (int i = 0; i < 10_000; i++) {
+ for (String input : inputs) {
+ producer.send(
+ new ProducerRecord<>(
+ input,
+ null,
+ ((Time) MOCK_TIME).milliseconds(),
+ i,
+ i,
+ null
+ )
+ );
+ ((Time) MOCK_TIME).sleep(1L);
+ }
+ }
+ producer.flush();
+ }
+ }
+
+ @AfterClass
+ public static void closeCluster() {
+ CLUSTER.stop();
+ }
+
+ @Before
+ public void before() throws IOException {
+ final String stateDirBasePath = TestUtils.tempDirectory().getPath();
+ streamsConfig.put(StreamsConfig.STATE_DIR_CONFIG, stateDirBasePath + "-1");
+ }
+
+ @After
+ public void after() throws IOException {
+ IntegrationTestUtils.purgeLocalStreamsState(Collections.singletonList(streamsConfig));
+ }
+
+ @Test
+ public void shouldInnerJoinMultiPartitionQueryable() throws Exception {
+ final StreamsBuilder streamsBuilder = new StreamsBuilder();
+ final KStream<Integer, Integer> stream1 =
+ streamsBuilder.stream(STREAM_1, Consumed.with(Serdes.Integer(), Serdes.Integer()));
+ final KStream<Integer, Integer> stream2 =
+ streamsBuilder.stream(STREAM_2, Consumed.with(Serdes.Integer(), Serdes.Integer()));
+ final KStream<Integer, Integer> stream3 =
+ streamsBuilder.stream(STREAM_3, Consumed.with(Serdes.Integer(), Serdes.Integer()));
+
+ final KStream<Integer, Integer> merge = stream1.merge(stream2).merge(stream3);
+ final ConcurrentLinkedDeque<KeyValue<Integer, Integer>> mapSeen = new ConcurrentLinkedDeque<>();
+ final KStream<Integer, Integer> map = merge.map((key, value) -> {
+ KeyValue<Integer, Integer> keyValue = new KeyValue<>(key, value);
+ mapSeen.offer(keyValue);
+ return keyValue;
+ });
+ streamsBuilder.addStateStore(
+ Stores.keyValueStoreBuilder(
+ Stores.inMemoryKeyValueStore("STORE"),
+ Serdes.Integer(),
+ Serdes.Integer()
+ )
+ );
+ final ConcurrentLinkedDeque<Record<Integer, Integer>> processSeen = new ConcurrentLinkedDeque<>();
+ KStream<Integer, String> process = map.process(
+ () -> new ContextualProcessor<Integer, Integer, Integer, String>() {
+
+ private KeyValueStore<Integer, Integer> store;
+
+ @Override
+ public void init(ProcessorContext<Integer, String> context) {
+ super.init(context);
+ store = context.getStateStore("STORE");
+ }
+
+ @Override
+ public void process(Record<Integer, Integer> record) {
+ processSeen.offer(record);
+ store.put(record.key(), record.value());
+ String topic = String.format(
+ "%s %d %d",
+ context().recordMetadata().get().topic(),
+ context().recordMetadata().get().partition(),
+ record.timestamp()
+ );
+ context().forward(record.withValue(topic));
+ }
+ },
+ "STORE"
+ );
+
+ process.to(STREAM_4, Produced.with(Serdes.Integer(), Serdes.String()));
+
+ final ArrayList<ConsumerRecord<Integer, String>> consumerSeen = new ArrayList<>(10_000 * 3);
+
+ try (
+ final KafkaStreams runningStreams = IntegrationTestUtils.getRunningStreams(streamsConfig, streamsBuilder, true);
+ final KafkaConsumer<Integer, String> consumer = new KafkaConsumer<>(CONSUMER_CONFIG);
+ ) {
+ Map<String, List<PartitionInfo>> topics = consumer.listTopics();
+ List<TopicPartition> partitions =
+ topics
+ .get(STREAM_4)
+ .stream()
+ .map(info -> new TopicPartition(info.topic(), info.partition()))
+ .collect(Collectors.toList());
+
+ consumer.assign(partitions);
+ consumer.seekToBeginning(partitions);
+
+ while (consumerSeen.size() < (10_000 * 3)) {
+ ConsumerRecords<Integer, String> poll = consumer.poll(Duration.ofMillis(100L));
+ for (ConsumerRecord<Integer, String> record : poll) {
+ System.out.println(record.key() + " " + record.value());
+ consumerSeen.add(record);
+ }
+ }
+ }
+
+ long lastTimestamp = -1;
+ int consumeIdx = 0;
+ for (int i = 0; i < 10_000; i++) {
+ for (int j = 0; j < 3; j++) {
+ assertThat(mapSeen.poll().key, Matchers.is(i));
+ Record<Integer, Integer> processRecord = processSeen.poll();
+ assertThat(processRecord.key(), Matchers.is(i));
+ assertThat(processRecord.timestamp(), Matchers.greaterThan(lastTimestamp));
+ lastTimestamp = processRecord.timestamp();
+ ConsumerRecord<Integer, String> consumerRecord = consumerSeen.get(consumeIdx++);
+ assertThat(consumerRecord.key(), Matchers.is(i));
+ }
+ }
+ }
+
+}