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Posted to jira@kafka.apache.org by GitBox <gi...@apache.org> on 2020/12/03 16:29:55 UTC
[GitHub] [kafka] ning2008wisc commented on a change in pull request #9224: KAFKA-10304: refactor MM2 integration tests
ning2008wisc commented on a change in pull request #9224:
URL: https://github.com/apache/kafka/pull/9224#discussion_r535386444
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File path: connect/mirror/src/test/java/org/apache/kafka/connect/mirror/integration/MirrorConnectorsIntegrationBaseTest.java
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@@ -0,0 +1,617 @@
+/*
+ * 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.connect.mirror.integration;
+
+import org.apache.kafka.clients.admin.Admin;
+import org.apache.kafka.clients.admin.Config;
+import org.apache.kafka.clients.admin.ConfigEntry;
+import org.apache.kafka.clients.admin.DescribeConfigsResult;
+import org.apache.kafka.clients.consumer.Consumer;
+import org.apache.kafka.clients.consumer.ConsumerRecords;
+import org.apache.kafka.clients.consumer.OffsetAndMetadata;
+import org.apache.kafka.clients.CommonClientConfigs;
+import org.apache.kafka.common.config.ConfigResource;
+import org.apache.kafka.common.config.TopicConfig;
+import org.apache.kafka.common.config.SslConfigs;
+import org.apache.kafka.common.config.types.Password;
+import org.apache.kafka.common.utils.Exit;
+import org.apache.kafka.common.TopicPartition;
+import org.apache.kafka.connect.connector.Connector;
+import org.apache.kafka.connect.mirror.MirrorClient;
+import org.apache.kafka.connect.mirror.MirrorHeartbeatConnector;
+import org.apache.kafka.connect.mirror.MirrorMakerConfig;
+import org.apache.kafka.connect.mirror.MirrorSourceConnector;
+import org.apache.kafka.connect.mirror.SourceAndTarget;
+import org.apache.kafka.connect.mirror.MirrorCheckpointConnector;
+import org.apache.kafka.connect.util.clusters.EmbeddedConnectCluster;
+import org.apache.kafka.connect.util.clusters.EmbeddedKafkaCluster;
+import org.apache.kafka.test.IntegrationTest;
+import static org.apache.kafka.test.TestUtils.waitForCondition;
+
+import java.time.Duration;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collection;
+import java.util.List;
+import java.util.Collections;
+import java.util.HashMap;
+import java.util.Iterator;
+import java.util.Map;
+import java.util.Properties;
+import java.util.concurrent.TimeUnit;
+import java.util.concurrent.atomic.AtomicBoolean;
+import java.util.concurrent.atomic.AtomicInteger;
+import java.util.stream.Collectors;
+
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import static org.junit.Assert.assertFalse;
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertTrue;
+import static org.junit.Assert.assertNotNull;
+import org.junit.Test;
+import org.junit.experimental.categories.Category;
+
+import static org.apache.kafka.connect.mirror.TestUtils.generateRecords;
+
+/**
+ * Tests MM2 replication and failover/failback logic.
+ *
+ * MM2 is configured with active/active replication between two Kafka clusters. Tests validate that
+ * records sent to either cluster arrive at the other cluster. Then, a consumer group is migrated from
+ * one cluster to the other and back. Tests validate that consumer offsets are translated and replicated
+ * between clusters during this failover and failback.
+ */
+@Category(IntegrationTest.class)
+public abstract class MirrorConnectorsIntegrationBaseTest {
+ private static final Logger log = LoggerFactory.getLogger(MirrorConnectorsIntegrationBaseTest.class);
+
+ private static final int NUM_RECORDS_PER_PARTITION = 10;
+ private static final int NUM_PARTITIONS = 10;
+ private static final int NUM_RECORDS_PRODUCED = NUM_PARTITIONS * NUM_RECORDS_PER_PARTITION;
+ private static final int RECORD_TRANSFER_DURATION_MS = 30_000;
+ private static final int CHECKPOINT_DURATION_MS = 20_000;
+ private static final int RECORD_CONSUME_DURATION_MS = 20_000;
+ private static final int OFFSET_SYNC_DURATION_MS = 30_000;
+ private static final int NUM_WORKERS = 3;
+ private static final int CONSUMER_POLL_TIMEOUT_MS = 500;
+ private static final int BROKER_RESTART_TIMEOUT_MS = 10_000;
+ private static final long DEFAULT_PRODUCE_SEND_DURATION_MS = TimeUnit.SECONDS.toMillis(120);
+ private static final String PRIMARY_CLUSTER_ALIAS = "primary";
+ private static final String BACKUP_CLUSTER_ALIAS = "backup";
+ private static final List<Class<? extends Connector>> CONNECTOR_LIST =
+ Arrays.asList(MirrorSourceConnector.class, MirrorCheckpointConnector.class, MirrorHeartbeatConnector.class);
+
+ private Map<String, String> mm2Props;
+ private MirrorMakerConfig mm2Config;
+ private EmbeddedConnectCluster primary;
+ private EmbeddedConnectCluster backup;
+
+ private final AtomicBoolean exited = new AtomicBoolean(false);
+ protected Properties primaryBrokerProps = new Properties();
+ protected Properties backupBrokerProps = new Properties();
+ private Map<String, String> primaryWorkerProps = new HashMap<>();
+ private Map<String, String> backupWorkerProps = new HashMap<>();
+ abstract Map<String, Object> getSslConfig();
+
+ protected void startClusters() throws InterruptedException {
+ primaryBrokerProps.put("auto.create.topics.enable", "false");
+ backupBrokerProps.put("auto.create.topics.enable", "false");
+
+ mm2Props = basicMM2Config();
+
+ final Map<String, Object> sslConfig = getSslConfig();
+ if (sslConfig != null) {
+ Properties sslProps = new Properties();
+ sslProps.put(SslConfigs.SSL_TRUSTSTORE_LOCATION_CONFIG, sslConfig.get(SslConfigs.SSL_TRUSTSTORE_LOCATION_CONFIG));
+ sslProps.put(SslConfigs.SSL_TRUSTSTORE_PASSWORD_CONFIG, ((Password) sslConfig.get(SslConfigs.SSL_TRUSTSTORE_PASSWORD_CONFIG)).value());
+ sslProps.put(CommonClientConfigs.SECURITY_PROTOCOL_CONFIG, "SSL");
+
+ // set SSL config for kafka connect worker
+ backupWorkerProps.putAll(sslProps.entrySet().stream().collect(Collectors.toMap(
+ e -> String.valueOf(e.getKey()), e -> String.valueOf(e.getValue()))));
+
+ mm2Props.putAll(sslProps.entrySet().stream().collect(Collectors.toMap(
+ e -> BACKUP_CLUSTER_ALIAS + "." + String.valueOf(e.getKey()), e -> String.valueOf(e.getValue()))));
+ // set SSL config for producer used by source task in MM2
+ mm2Props.putAll(sslProps.entrySet().stream().collect(Collectors.toMap(
+ e -> BACKUP_CLUSTER_ALIAS + ".producer." + String.valueOf(e.getKey()), e -> String.valueOf(e.getValue()))));
+ }
+
+ mm2Config = new MirrorMakerConfig(mm2Props);
+ primaryWorkerProps = mm2Config.workerConfig(new SourceAndTarget(BACKUP_CLUSTER_ALIAS, PRIMARY_CLUSTER_ALIAS));
+ backupWorkerProps.putAll(mm2Config.workerConfig(new SourceAndTarget(PRIMARY_CLUSTER_ALIAS, BACKUP_CLUSTER_ALIAS)));
+
+ primary = new EmbeddedConnectCluster.Builder()
+ .name(PRIMARY_CLUSTER_ALIAS + "-connect-cluster")
+ .numWorkers(3)
+ .numBrokers(1)
+ .brokerProps(primaryBrokerProps)
+ .workerProps(primaryWorkerProps)
+ .build();
+
+ backup = new EmbeddedConnectCluster.Builder()
+ .name(BACKUP_CLUSTER_ALIAS + "-connect-cluster")
+ .numWorkers(3)
+ .numBrokers(1)
+ .brokerProps(backupBrokerProps)
+ .workerProps(backupWorkerProps)
+ .build();
+
+ primary.start();
+ primary.assertions().assertAtLeastNumWorkersAreUp(3,
+ "Workers of " + PRIMARY_CLUSTER_ALIAS + "-connect-cluster did not start in time.");
+
+ backup.start();
+ backup.assertions().assertAtLeastNumWorkersAreUp(3,
+ "Workers of " + BACKUP_CLUSTER_ALIAS + "-connect-cluster did not start in time.");
+
+ createTopics();
+
+ warmUpConsumer();
+
+ log.info(PRIMARY_CLUSTER_ALIAS + " REST service: {}", primary.endpointForResource("connectors"));
+ log.info(BACKUP_CLUSTER_ALIAS + " REST service: {}", backup.endpointForResource("connectors"));
+ log.info(PRIMARY_CLUSTER_ALIAS + " brokers: {}", primary.kafka().bootstrapServers());
+ log.info(BACKUP_CLUSTER_ALIAS + " brokers: {}", backup.kafka().bootstrapServers());
+
+ // now that the brokers are running, we can finish setting up the Connectors
+ mm2Props.put(PRIMARY_CLUSTER_ALIAS + ".bootstrap.servers", primary.kafka().bootstrapServers());
+ mm2Props.put(BACKUP_CLUSTER_ALIAS + ".bootstrap.servers", backup.kafka().bootstrapServers());
+
+ Exit.setExitProcedure((status, errorCode) -> exited.set(true));
+ }
+
+ public void shutdownClusters() {
+ for (String x : primary.connectors()) {
+ primary.deleteConnector(x);
+ }
+ for (String x : backup.connectors()) {
+ backup.deleteConnector(x);
+ }
+ deleteAllTopics(primary.kafka());
+ deleteAllTopics(backup.kafka());
+ primary.stop();
+ backup.stop();
+ try {
+ assertFalse(exited.get());
+ } finally {
+ Exit.resetExitProcedure();
+ }
+ }
+
+ @Test
+ public void testReplication() throws InterruptedException {
+ produceMessages(primary, "test-topic-1");
+ produceMessages(backup, "test-topic-1");
+ String consumerGroupName = "consumer-group-testReplication";
+ Map<String, Object> consumerProps = new HashMap<String, Object>() {{
+ put("group.id", consumerGroupName);
+ put("auto.offset.reset", "latest");
+ }};
+ // create consumers before starting the connectors so we don't need to wait for discovery
+ Consumer<byte[], byte[]> primaryConsumer = primary.kafka().createConsumerAndSubscribeTo(consumerProps, "test-topic-1");
+ waitForConsumingAllRecords(primaryConsumer, 0);
+
+ Consumer<byte[], byte[]> backupConsumer = backup.kafka().createConsumerAndSubscribeTo(consumerProps, "test-topic-1");
+ waitForConsumingAllRecords(backupConsumer, 0);
+
+ mm2Config = new MirrorMakerConfig(mm2Props);
+
+ waitUntilMirrorMakerIsRunning(backup, CONNECTOR_LIST, mm2Config, PRIMARY_CLUSTER_ALIAS, BACKUP_CLUSTER_ALIAS);
+ waitUntilMirrorMakerIsRunning(primary, CONNECTOR_LIST, mm2Config, BACKUP_CLUSTER_ALIAS, PRIMARY_CLUSTER_ALIAS);
+
+ MirrorClient primaryClient = new MirrorClient(mm2Config.clientConfig(PRIMARY_CLUSTER_ALIAS));
+ MirrorClient backupClient = new MirrorClient(mm2Config.clientConfig(BACKUP_CLUSTER_ALIAS));
+
+ assertEquals("topic config was not synced", TopicConfig.CLEANUP_POLICY_COMPACT,
+ getTopicConfig(backup.kafka(), "primary.test-topic-1", TopicConfig.CLEANUP_POLICY_CONFIG));
+
+ assertEquals("Records were not produced to primary cluster.", NUM_RECORDS_PRODUCED,
+ primary.kafka().consume(NUM_RECORDS_PRODUCED, RECORD_TRANSFER_DURATION_MS, "test-topic-1").count());
+ assertEquals("Records were not replicated to backup cluster.", NUM_RECORDS_PRODUCED,
+ backup.kafka().consume(NUM_RECORDS_PRODUCED, RECORD_TRANSFER_DURATION_MS, "primary.test-topic-1").count());
+ assertEquals("Records were not produced to backup cluster.", NUM_RECORDS_PRODUCED,
+ backup.kafka().consume(NUM_RECORDS_PRODUCED, RECORD_TRANSFER_DURATION_MS, "test-topic-1").count());
+ assertEquals("Records were not replicated to primary cluster.", NUM_RECORDS_PRODUCED,
+ primary.kafka().consume(NUM_RECORDS_PRODUCED, RECORD_TRANSFER_DURATION_MS, "backup.test-topic-1").count());
+
+ assertEquals("Primary cluster doesn't have all records from both clusters.", NUM_RECORDS_PRODUCED * 2,
+ primary.kafka().consume(NUM_RECORDS_PRODUCED * 2, RECORD_TRANSFER_DURATION_MS, "backup.test-topic-1", "test-topic-1").count());
+ assertEquals("Backup cluster doesn't have all records from both clusters.", NUM_RECORDS_PRODUCED * 2,
+ backup.kafka().consume(NUM_RECORDS_PRODUCED * 2, RECORD_TRANSFER_DURATION_MS, "primary.test-topic-1", "test-topic-1").count());
+
+ assertTrue("Heartbeats were not emitted to primary cluster.", primary.kafka().consume(1,
+ RECORD_TRANSFER_DURATION_MS, "heartbeats").count() > 0);
+ assertTrue("Heartbeats were not emitted to backup cluster.", backup.kafka().consume(1,
+ RECORD_TRANSFER_DURATION_MS, "heartbeats").count() > 0);
+ assertTrue("Heartbeats were not replicated downstream to backup cluster.", backup.kafka().consume(1,
+ RECORD_TRANSFER_DURATION_MS, "primary.heartbeats").count() > 0);
+ assertTrue("Heartbeats were not replicated downstream to primary cluster.", primary.kafka().consume(1,
+ RECORD_TRANSFER_DURATION_MS, "backup.heartbeats").count() > 0);
+
+ assertTrue("Did not find upstream primary cluster.", backupClient.upstreamClusters().contains(PRIMARY_CLUSTER_ALIAS));
+ assertEquals("Did not calculate replication hops correctly.", 1, backupClient.replicationHops(PRIMARY_CLUSTER_ALIAS));
+ assertTrue("Did not find upstream backup cluster.", primaryClient.upstreamClusters().contains(BACKUP_CLUSTER_ALIAS));
+ assertEquals("Did not calculate replication hops correctly.", 1, primaryClient.replicationHops(BACKUP_CLUSTER_ALIAS));
+ assertTrue("Checkpoints were not emitted downstream to backup cluster.", backup.kafka().consume(1,
+ CHECKPOINT_DURATION_MS, "primary.checkpoints.internal").count() > 0);
+
+ Map<TopicPartition, OffsetAndMetadata> backupOffsets = backupClient.remoteConsumerOffsets(consumerGroupName, PRIMARY_CLUSTER_ALIAS,
+ Duration.ofMillis(CHECKPOINT_DURATION_MS));
+
+ assertTrue("Offsets not translated downstream to backup cluster. Found: " + backupOffsets, backupOffsets.containsKey(
+ new TopicPartition("primary.test-topic-1", 0)));
+
+ // Failover consumer group to backup cluster.
+ primaryConsumer = backup.kafka().createConsumer(Collections.singletonMap("group.id", consumerGroupName));
+ primaryConsumer.assign(backupOffsets.keySet());
+ backupOffsets.forEach(primaryConsumer::seek);
+ primaryConsumer.poll(Duration.ofMillis(CONSUMER_POLL_TIMEOUT_MS));
+ primaryConsumer.commitAsync();
+
+ assertTrue("Consumer failedover to zero offset.", primaryConsumer.position(new TopicPartition("primary.test-topic-1", 0)) > 0);
+ assertTrue("Consumer failedover beyond expected offset.", primaryConsumer.position(
+ new TopicPartition("primary.test-topic-1", 0)) <= NUM_RECORDS_PRODUCED);
+ assertTrue("Checkpoints were not emitted upstream to primary cluster.", primary.kafka().consume(1,
+ CHECKPOINT_DURATION_MS, "backup.checkpoints.internal").count() > 0);
+
+ primaryConsumer.close();
+
+ waitForCondition(() -> {
+ try {
+ return primaryClient.remoteConsumerOffsets(consumerGroupName, BACKUP_CLUSTER_ALIAS,
+ Duration.ofMillis(CHECKPOINT_DURATION_MS)).containsKey(new TopicPartition("backup.test-topic-1", 0));
+ } catch (Throwable e) {
+ return false;
+ }
+ }, CHECKPOINT_DURATION_MS, "Offsets not translated downstream to primary cluster.");
+
+ waitForCondition(() -> {
+ try {
+ return primaryClient.remoteConsumerOffsets(consumerGroupName, BACKUP_CLUSTER_ALIAS,
+ Duration.ofMillis(CHECKPOINT_DURATION_MS)).containsKey(new TopicPartition("test-topic-1", 0));
+ } catch (Throwable e) {
+ return false;
+ }
+ }, CHECKPOINT_DURATION_MS, "Offsets not translated upstream to primary cluster.");
+
+ Map<TopicPartition, OffsetAndMetadata> primaryOffsets = primaryClient.remoteConsumerOffsets(consumerGroupName, BACKUP_CLUSTER_ALIAS,
+ Duration.ofMillis(CHECKPOINT_DURATION_MS));
+
+ // Failback consumer group to primary cluster
+ backupConsumer = primary.kafka().createConsumer(Collections.singletonMap("group.id", consumerGroupName));
+ backupConsumer.assign(primaryOffsets.keySet());
+ primaryOffsets.forEach(backupConsumer::seek);
+ backupConsumer.poll(Duration.ofMillis(CONSUMER_POLL_TIMEOUT_MS));
+ backupConsumer.commitAsync();
+
+ assertTrue("Consumer failedback to zero upstream offset.", backupConsumer.position(new TopicPartition("test-topic-1", 0)) > 0);
+ assertTrue("Consumer failedback to zero downstream offset.", backupConsumer.position(new TopicPartition("backup.test-topic-1", 0)) > 0);
+ assertTrue("Consumer failedback beyond expected upstream offset.", backupConsumer.position(
+ new TopicPartition("test-topic-1", 0)) <= NUM_RECORDS_PRODUCED);
+ assertTrue("Consumer failedback beyond expected downstream offset.", backupConsumer.position(
+ new TopicPartition("backup.test-topic-1", 0)) <= NUM_RECORDS_PRODUCED);
+
+ backupConsumer.close();
+
+ // create more matching topics
+ primary.kafka().createTopic("test-topic-2", NUM_PARTITIONS);
+ backup.kafka().createTopic("test-topic-3", NUM_PARTITIONS);
+
+ // only produce messages to the first partition
+ produceMessages(primary, "test-topic-2", 1);
+ produceMessages(backup, "test-topic-3", 1);
+
+ // expect total consumed messages equals to NUM_RECORDS_PER_PARTITION
+ assertEquals("Records were not produced to primary cluster.", NUM_RECORDS_PER_PARTITION,
+ primary.kafka().consume(NUM_RECORDS_PER_PARTITION, RECORD_TRANSFER_DURATION_MS, "test-topic-2").count());
+ assertEquals("Records were not produced to backup cluster.", NUM_RECORDS_PER_PARTITION,
+ backup.kafka().consume(NUM_RECORDS_PER_PARTITION, RECORD_TRANSFER_DURATION_MS, "test-topic-3").count());
+
+ assertEquals("New topic was not replicated to primary cluster.", NUM_RECORDS_PER_PARTITION,
+ primary.kafka().consume(NUM_RECORDS_PER_PARTITION, 2 * RECORD_TRANSFER_DURATION_MS, "backup.test-topic-3").count());
+ assertEquals("New topic was not replicated to backup cluster.", NUM_RECORDS_PER_PARTITION,
+ backup.kafka().consume(NUM_RECORDS_PER_PARTITION, 2 * RECORD_TRANSFER_DURATION_MS, "primary.test-topic-2").count());
+
+ }
+
+ @Test
+ public void testReplicationWithEmptyPartition() throws Exception {
+ String consumerGroupName = "consumer-group-testReplicationWithEmptyPartition";
+ Map<String, Object> consumerProps = Collections.singletonMap("group.id", consumerGroupName);
+
+ // create topic
+ String topic = "test-topic-with-empty-partition";
+ primary.kafka().createTopic(topic, NUM_PARTITIONS);
+
+ // produce to all test-topic-empty's partitions, except the last partition
+ produceMessages(primary, topic, NUM_PARTITIONS - 1);
+
+ // consume before starting the connectors so we don't need to wait for discovery
+ int expectedRecords = NUM_RECORDS_PER_PARTITION * (NUM_PARTITIONS - 1);
+ try (Consumer<byte[], byte[]> primaryConsumer = primary.kafka().createConsumerAndSubscribeTo(consumerProps, topic)) {
+ waitForConsumingAllRecords(primaryConsumer, expectedRecords);
+ }
+
+ // one way replication from primary to backup
+ mm2Props.put(BACKUP_CLUSTER_ALIAS + "->" + PRIMARY_CLUSTER_ALIAS + ".enabled", "false");
+ mm2Config = new MirrorMakerConfig(mm2Props);
+ waitUntilMirrorMakerIsRunning(backup, CONNECTOR_LIST, mm2Config, PRIMARY_CLUSTER_ALIAS, BACKUP_CLUSTER_ALIAS);
+
+ // sleep few seconds to have MM2 finish replication so that "end" consumer will consume some record
+ Thread.sleep(TimeUnit.SECONDS.toMillis(3));
+
+ // consume all records from backup cluster
+ try (Consumer<byte[], byte[]> backupConsumer = backup.kafka().createConsumerAndSubscribeTo(consumerProps,
+ PRIMARY_CLUSTER_ALIAS + "." + topic)) {
+ waitForConsumingAllRecords(backupConsumer, expectedRecords);
+ }
+
+ Admin backupClient = backup.kafka().createAdminClient();
+ // retrieve the consumer group offset from backup cluster
+ Map<TopicPartition, OffsetAndMetadata> remoteOffsets =
+ backupClient.listConsumerGroupOffsets(consumerGroupName).partitionsToOffsetAndMetadata().get();
+ // pinpoint the offset of the last partition which does not receive records
+ OffsetAndMetadata offset = remoteOffsets.get(new TopicPartition(PRIMARY_CLUSTER_ALIAS + "." + topic, NUM_PARTITIONS - 1));
+ // offset of the last partition should exist, but its value should be 0
+ assertNotNull("Offset of last partition was not replicated", offset);
+ assertEquals("Offset of last partition is not zero", 0, offset.offset());
+ }
+
+ @Test
+ public void testOneWayReplicationWithAutoOffsetSync() throws InterruptedException {
+ produceMessages(primary, "test-topic-1");
+ String consumerGroupName = "consumer-group-testOneWayReplicationWithAutoOffsetSync";
+ Map<String, Object> consumerProps = new HashMap<String, Object>() {{
+ put("group.id", consumerGroupName);
+ put("auto.offset.reset", "earliest");
+ }};
+ // create consumers before starting the connectors so we don't need to wait for discovery
+ try (Consumer<byte[], byte[]> primaryConsumer = primary.kafka().createConsumerAndSubscribeTo(consumerProps,
+ "test-topic-1")) {
+ // we need to wait for consuming all the records for MM2 replicating the expected offsets
+ waitForConsumingAllRecords(primaryConsumer, NUM_RECORDS_PRODUCED);
+ }
+
+ // enable automated consumer group offset sync
+ mm2Props.put("sync.group.offsets.enabled", "true");
+ mm2Props.put("sync.group.offsets.interval.seconds", "1");
+ // one way replication from primary to backup
+ mm2Props.put(BACKUP_CLUSTER_ALIAS + "->" + PRIMARY_CLUSTER_ALIAS + ".enabled", "false");
+
+ mm2Config = new MirrorMakerConfig(mm2Props);
+
+ waitUntilMirrorMakerIsRunning(backup, CONNECTOR_LIST, mm2Config, PRIMARY_CLUSTER_ALIAS, BACKUP_CLUSTER_ALIAS);
+
+ // create a consumer at backup cluster with same consumer group Id to consume 1 topic
+ Consumer<byte[], byte[]> backupConsumer = backup.kafka().createConsumerAndSubscribeTo(
+ consumerProps, "primary.test-topic-1");
+
+ waitForConsumerGroupOffsetSync(backup, backupConsumer, Collections.singletonList("primary.test-topic-1"),
+ consumerGroupName, NUM_RECORDS_PRODUCED);
+
+ ConsumerRecords<byte[], byte[]> records = backupConsumer.poll(Duration.ofMillis(CONSUMER_POLL_TIMEOUT_MS));
+
+ // the size of consumer record should be zero, because the offsets of the same consumer group
+ // have been automatically synchronized from primary to backup by the background job, so no
+ // more records to consume from the replicated topic by the same consumer group at backup cluster
+ assertEquals("consumer record size is not zero", 0, records.count());
+
+ // now create a new topic in primary cluster
+ primary.kafka().createTopic("test-topic-2", NUM_PARTITIONS);
+ backup.kafka().createTopic("primary.test-topic-2", 1);
+ // produce some records to the new topic in primary cluster
+ produceMessages(primary, "test-topic-2");
+
+ // create a consumer at primary cluster to consume the new topic
+ try (Consumer<byte[], byte[]> consumer1 = primary.kafka().createConsumerAndSubscribeTo(Collections.singletonMap(
+ "group.id", "consumer-group-1"), "test-topic-2")) {
+ // we need to wait for consuming all the records for MM2 replicating the expected offsets
+ waitForConsumingAllRecords(consumer1, NUM_RECORDS_PRODUCED);
+ }
+
+ // create a consumer at backup cluster with same consumer group Id to consume old and new topic
+ backupConsumer = backup.kafka().createConsumerAndSubscribeTo(Collections.singletonMap(
+ "group.id", consumerGroupName), "primary.test-topic-1", "primary.test-topic-2");
+
+ waitForConsumerGroupOffsetSync(backup, backupConsumer, Arrays.asList("primary.test-topic-1", "primary.test-topic-2"),
+ consumerGroupName, NUM_RECORDS_PRODUCED);
+
+ records = backupConsumer.poll(Duration.ofMillis(CONSUMER_POLL_TIMEOUT_MS));
+ // similar reasoning as above, no more records to consume by the same consumer group at backup cluster
+ assertEquals("consumer record size is not zero", 0, records.count());
+ backupConsumer.close();
+ }
+
+ /*
+ * launch the connectors on kafka connect cluster and check if they are running
+ */
+ private static void waitUntilMirrorMakerIsRunning(EmbeddedConnectCluster connectCluster,
+ List<Class<? extends Connector>> connectorClasses, MirrorMakerConfig mm2Config,
+ String primary, String backup) throws InterruptedException {
+ for (int i = 0; i < connectorClasses.size(); i++) {
+ String connector = connectorClasses.get(i).getSimpleName();
+ connectCluster.configureConnector(connector, mm2Config.connectorBaseConfig(
+ new SourceAndTarget(primary, backup), connectorClasses.get(i)));
+ }
+
+ // we wait for the connector and tasks to come up for each connector, so that when we do the
+ // actual testing, we are certain that the tasks are up and running; this will prevent
+ // flaky tests where the connector and tasks didn't start up in time for the tests to be run
+ List<String> connectorNames = connectorClasses.stream().map(x -> x.getSimpleName())
+ .collect(Collectors.toList());
+ for (String connector : connectorNames) {
+ connectCluster.assertions().assertConnectorAndAtLeastNumTasksAreRunning(connector, 1,
+ "Connector " + connector + " tasks did not start in time on cluster: " + connectCluster);
+ }
+ }
+
+ /*
+ * delete all topics of the input kafka cluster
+ */
+ private static void deleteAllTopics(EmbeddedKafkaCluster cluster) {
+ Admin client = cluster.createAdminClient();
+ try {
+ client.deleteTopics(client.listTopics().names().get());
+ } catch (Throwable e) {
+ // should not run into exception normally. In case of Exception,
+ // simply fail the test and investigate
+ }
+ }
+
+ /*
+ * retrieve the config value based on the input cluster, topic and config name
+ */
+ private static String getTopicConfig(EmbeddedKafkaCluster cluster, String topic, String configName) {
+ Admin client = cluster.createAdminClient();
+ Collection<ConfigResource> cr = Collections.singleton(
+ new ConfigResource(ConfigResource.Type.TOPIC, topic));
+ try {
+ DescribeConfigsResult configsResult = client.describeConfigs(cr);
+ Config allConfigs = (Config) configsResult.all().get().values().toArray()[0];
+ Iterator<ConfigEntry> configIterator = allConfigs.entries().iterator();
+ while (configIterator.hasNext()) {
+ ConfigEntry currentConfig = configIterator.next();
+ if (currentConfig.name().equals(configName)) {
+ return currentConfig.value();
+ }
+ }
+ } catch (Throwable e) {
+ // should not run into exception normally. In case of Exception,
+ // simply fail the test and investigate
+ }
+ return null;
+ }
+
+ /*
+ * produce messages to the cluster and topic
+ */
+ protected void produceMessages(EmbeddedConnectCluster cluster, String topicName) {
+ Map<String, String> recordSent = generateRecords(NUM_RECORDS_PRODUCED);
+ for (Map.Entry<String, String> entry : recordSent.entrySet()) {
+ cluster.kafka().produce(topicName, entry.getKey(), entry.getValue());
+ }
+ }
+
+ /*
+ * produce messages to the cluster and topic partition less than numPartitions
+ */
+ protected void produceMessages(EmbeddedConnectCluster cluster, String topicName, int numPartitions) {
+ int cnt = 0;
+ for (int r = 0; r < NUM_RECORDS_PER_PARTITION; r++)
+ for (int p = 0; p < numPartitions; p++)
+ cluster.kafka().produce(topicName, p, "key", "value-" + cnt++);
+ }
+
+ /*
+ * given consumer group, topics and expected number of records, make sure the consumer group
+ * offsets are eventually synced to the expected offset numbers
+ */
+ private static <T> void waitForConsumerGroupOffsetSync(EmbeddedConnectCluster connect,
+ Consumer<T, T> consumer, List<String> topics, String consumerGroupId, int numRecords)
+ throws InterruptedException {
+ Admin adminClient = connect.kafka().createAdminClient();
+ List<TopicPartition> tps = new ArrayList<>(NUM_PARTITIONS * topics.size());
+ for (int partitionIndex = 0; partitionIndex < NUM_PARTITIONS; partitionIndex++) {
+ for (String topic : topics) {
+ tps.add(new TopicPartition(topic, partitionIndex));
+ }
+ }
+ long expectedTotalOffsets = numRecords * topics.size();
+
+ waitForCondition(() -> {
+ Map<TopicPartition, OffsetAndMetadata> consumerGroupOffsets =
+ adminClient.listConsumerGroupOffsets(consumerGroupId).partitionsToOffsetAndMetadata().get();
+ long consumerGroupOffsetTotal = consumerGroupOffsets.values().stream()
+ .mapToLong(metadata -> metadata.offset()).sum();
+
+ Map<TopicPartition, Long> offsets = consumer.endOffsets(tps, Duration.ofMillis(CONSUMER_POLL_TIMEOUT_MS));
+ long totalOffsets = offsets.values().stream().mapToLong(l -> l).sum();
+
+ // make sure the consumer group offsets are synced to expected number
+ return totalOffsets == expectedTotalOffsets && consumerGroupOffsetTotal > 0;
+ }, OFFSET_SYNC_DURATION_MS, "Consumer group offset sync is not complete in time");
+ }
+
+ /*
+ * make sure the consumer to consume expected number of records
+ */
+ private static <T> void waitForConsumingAllRecords(Consumer<T, T> consumer, int numExpectedRecords)
+ throws InterruptedException {
+ final AtomicInteger totalConsumedRecords = new AtomicInteger(0);
+ waitForCondition(() -> {
+ ConsumerRecords<T, T> records = consumer.poll(Duration.ofMillis(CONSUMER_POLL_TIMEOUT_MS));
+ return numExpectedRecords == totalConsumedRecords.addAndGet(records.count());
+ }, RECORD_CONSUME_DURATION_MS, "Consumer cannot consume all records in time");
+ consumer.commitSync();
+ consumer.close();
Review comment:
Closing the consumer will make the re-use of the same consumer instance in a clean state. I tried to remove `consumer.close();` and it caused test failures.
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