uds5501 commented on code in PR #18147: URL: https://github.com/apache/druid/pull/18147#discussion_r2162983093
########## extensions-core/kafka-indexing-service/src/test/java/org/apache/druid/indexing/kafka/simulate/KafkaSupervisorSimTest.java: ########## @@ -0,0 +1,185 @@ +/* + * 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.druid.indexing.kafka.simulate; + +import com.google.common.collect.ImmutableList; +import org.apache.druid.common.utils.IdUtils; +import org.apache.druid.data.input.impl.CsvInputFormat; +import org.apache.druid.data.input.impl.DimensionsSpec; +import org.apache.druid.data.input.impl.TimestampSpec; +import org.apache.druid.indexer.TaskState; +import org.apache.druid.indexer.TaskStatusPlus; +import org.apache.druid.indexing.kafka.KafkaIndexTaskModule; +import org.apache.druid.indexing.kafka.supervisor.KafkaSupervisorIOConfig; +import org.apache.druid.indexing.kafka.supervisor.KafkaSupervisorSpec; +import org.apache.druid.indexing.kafka.supervisor.KafkaSupervisorTuningConfig; +import org.apache.druid.indexing.overlord.supervisor.SupervisorStatus; +import org.apache.druid.java.util.common.DateTimes; +import org.apache.druid.java.util.common.StringUtils; +import org.apache.druid.query.DruidMetrics; +import org.apache.druid.segment.indexing.DataSchema; +import org.apache.druid.testing.simulate.EmbeddedBroker; +import org.apache.druid.testing.simulate.EmbeddedCoordinator; +import org.apache.druid.testing.simulate.EmbeddedDruidCluster; +import org.apache.druid.testing.simulate.EmbeddedIndexer; +import org.apache.druid.testing.simulate.EmbeddedOverlord; +import org.apache.druid.testing.simulate.junit5.IndexingSimulationTestBase; +import org.apache.kafka.clients.producer.ProducerRecord; +import org.joda.time.DateTime; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.Test; + +import java.util.ArrayList; +import java.util.List; +import java.util.Map; +import java.util.concurrent.ThreadLocalRandom; + +public class KafkaSupervisorSimTest extends IndexingSimulationTestBase +{ + private final EmbeddedBroker broker = new EmbeddedBroker(); + private final EmbeddedIndexer indexer = new EmbeddedIndexer(); + private final EmbeddedOverlord overlord = new EmbeddedOverlord(); + private EmbeddedKafkaServer kafkaServer; + + @Override + public EmbeddedDruidCluster createCluster() + { + final EmbeddedDruidCluster cluster = EmbeddedDruidCluster.withEmbeddedDerbyAndZookeeper(); + + kafkaServer = new EmbeddedKafkaServer(cluster.getZookeeper(), cluster.getTestFolder(), Map.of()); + + cluster.addExtension(KafkaIndexTaskModule.class) + .addResource(kafkaServer) + .useLatchableEmitter() + .addServer(new EmbeddedCoordinator()) + .addServer(overlord) + .addServer(indexer) + .addServer(broker); + + return cluster; + } + + @Test + public void test_runKafkaSupervisor() + { + final String topic = dataSource; + kafkaServer.createTopicWithPartitions(topic, 2); + + kafkaServer.produceRecordsToTopic( + generateRecordsForTopic(topic, 10, DateTimes.of("2025-06-01")) + ); + + // Submit and start a supervisor + final String supervisorId = dataSource + "_supe"; + final KafkaSupervisorSpec kafkaSupervisorSpec = createKafkaSupervisor(supervisorId, topic); + + final Map<String, String> startSupervisorResult = getResult( + cluster.leaderOverlord().postSupervisor(kafkaSupervisorSpec) + ); + Assertions.assertEquals(Map.of("id", supervisorId), startSupervisorResult); + + // Wait for the broker to discover the realtime segments + broker.latchableEmitter().waitForEvent( + event -> event.hasDimension(DruidMetrics.DATASOURCE, dataSource) + ); + + SupervisorStatus supervisorStatus = getSupervisorStatus(supervisorId); + Assertions.assertFalse(supervisorStatus.isSuspended()); + Assertions.assertTrue(supervisorStatus.isHealthy()); + Assertions.assertEquals(dataSource, supervisorStatus.getDataSource()); + Assertions.assertEquals("RUNNING", supervisorStatus.getState()); + Assertions.assertEquals(topic, supervisorStatus.getSource()); + + // Get the task ID + List<TaskStatusPlus> taskStatuses = ImmutableList.copyOf( + getResult(cluster.leaderOverlord().taskStatuses(null, dataSource, 1)) + ); + Assertions.assertEquals(1, taskStatuses.size()); + Assertions.assertEquals(TaskState.RUNNING, taskStatuses.get(0).getStatusCode()); + + // Verify the count of rows ingested into the datasource so far + Assertions.assertEquals("10", runSql("SELECT COUNT(*) FROM %s", dataSource)); + + // Suspend the supervisor and verify the state + getResult( + cluster.leaderOverlord().postSupervisor(kafkaSupervisorSpec.createSuspendedSpec()) + ); + supervisorStatus = getSupervisorStatus(supervisorId); + Assertions.assertTrue(supervisorStatus.isSuspended()); + } + + private KafkaSupervisorSpec createKafkaSupervisor(String supervisorId, String topic) + { + return new KafkaSupervisorSpec( + supervisorId, + null, + DataSchema.builder() + .withDataSource(dataSource) + .withTimestamp(new TimestampSpec("timestamp", null, null)) + .withDimensions(DimensionsSpec.EMPTY) + .build(), + createTuningConfig(), + new KafkaSupervisorIOConfig( + topic, + null, + new CsvInputFormat(List.of("timestamp", "item"), null, null, false, 0, false), + null, null, + null, + kafkaServer.consumerProperties(), + null, null, null, null, null, + true, + null, null, null, null, null, null, null, null + ), + null, null, null, null, null, null, null, null, null, null, null + ); + } + + private KafkaSupervisorTuningConfig createTuningConfig() + { + return new KafkaSupervisorTuningConfig( + null, + null, null, null, + 1, + null, null, null, null, null, null, null, null, null, null, + null, null, null, null, null, null, null, null, null, null + ); + } + + private List<ProducerRecord<byte[], byte[]>> generateRecordsForTopic( Review Comment: Suggestion: There should be a provision to produce records for each partition -- This is an automated message from the Apache Git Service. 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