kfaraz commented on code in PR #18383: URL: https://github.com/apache/druid/pull/18383#discussion_r2266539147
########## embedded-tests/src/test/java/org/apache/druid/testing/embedded/indexing/KafkaDataFormatsTest.java: ########## @@ -0,0 +1,722 @@ +/* + * 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.testing.embedded.indexing; + +import com.fasterxml.jackson.core.JsonProcessingException; +import org.apache.druid.data.input.AvroStreamInputRowParser; +import org.apache.druid.data.input.InputFormat; +import org.apache.druid.data.input.avro.AvroExtensionsModule; +import org.apache.druid.data.input.avro.AvroParseSpec; +import org.apache.druid.data.input.avro.AvroStreamInputFormat; +import org.apache.druid.data.input.avro.InlineSchemaAvroBytesDecoder; +import org.apache.druid.data.input.avro.SchemaRegistryBasedAvroBytesDecoder; +import org.apache.druid.data.input.impl.CSVParseSpec; +import org.apache.druid.data.input.impl.CsvInputFormat; +import org.apache.druid.data.input.impl.DelimitedInputFormat; +import org.apache.druid.data.input.impl.DelimitedParseSpec; +import org.apache.druid.data.input.impl.DimensionsSpec; +import org.apache.druid.data.input.impl.JSONParseSpec; +import org.apache.druid.data.input.impl.JsonInputFormat; +import org.apache.druid.data.input.impl.StringDimensionSchema; +import org.apache.druid.data.input.impl.StringInputRowParser; +import org.apache.druid.data.input.impl.TimestampSpec; +import org.apache.druid.data.input.protobuf.FileBasedProtobufBytesDecoder; +import org.apache.druid.data.input.protobuf.ProtobufExtensionsModule; +import org.apache.druid.data.input.protobuf.ProtobufInputFormat; +import org.apache.druid.data.input.protobuf.SchemaRegistryBasedProtobufBytesDecoder; +import org.apache.druid.indexing.kafka.KafkaIndexTaskModule; +import org.apache.druid.indexing.kafka.simulate.KafkaResource; +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.java.util.common.StringUtils; +import org.apache.druid.java.util.common.parsers.JSONPathSpec; +import org.apache.druid.query.DruidMetrics; +import org.apache.druid.segment.indexing.DataSchema; +import org.apache.druid.testing.embedded.EmbeddedBroker; +import org.apache.druid.testing.embedded.EmbeddedCoordinator; +import org.apache.druid.testing.embedded.EmbeddedDruidCluster; +import org.apache.druid.testing.embedded.EmbeddedHistorical; +import org.apache.druid.testing.embedded.EmbeddedIndexer; +import org.apache.druid.testing.embedded.EmbeddedOverlord; +import org.apache.druid.testing.embedded.junit5.EmbeddedClusterTestBase; +import org.apache.druid.testing.tools.AvroEventSerializer; +import org.apache.druid.testing.tools.AvroSchemaRegistryEventSerializer; +import org.apache.druid.testing.tools.CsvEventSerializer; +import org.apache.druid.testing.tools.DelimitedEventSerializer; +import org.apache.druid.testing.tools.EventSerializer; +import org.apache.druid.testing.tools.JsonEventSerializer; +import org.apache.druid.testing.tools.ProtobufEventSerializer; +import org.apache.druid.testing.tools.ProtobufSchemaRegistryEventSerializer; +import org.apache.druid.testing.tools.StreamGenerator; +import org.apache.druid.testing.tools.WikipediaStreamEventStreamGenerator; +import org.apache.kafka.clients.producer.ProducerRecord; +import org.joda.time.Period; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.Test; +import org.junit.jupiter.api.Timeout; + +import java.io.IOException; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; +import java.util.Map; + +/** + * Embedded test of Kafka indexing for different data formats. + * Formats Included: + * <ul> + * <li>Avro (with and without schema registry)</li> + * <li>CSV</li> + * <li>JSON</li> + * <li>Protobuf (with and without schema registry)</li> + * </ul> + * + * This tests both InputFormat and Parser. Parser is deprecated for Kafka Ingestion, and those tests will be removed in the future. + */ +public class KafkaDataFormatsTest extends EmbeddedClusterTestBase +{ + private static final long CYCLE_PADDING_MS = 100; + private static final int EVENTS_PER_SECOND = 6; + private static final List<String> WIKI_DIM_LIST = List.of("timestamp", "page", "language", "user", + "unpatrolled", "newPage", "robot", "anonymous", "namespace", + "continent", "country", "region", "city", "added", + "deleted", "delta"); + + private final EmbeddedBroker broker = new EmbeddedBroker(); + private final EmbeddedIndexer indexer = new EmbeddedIndexer(); + private final EmbeddedOverlord overlord = new EmbeddedOverlord(); + private final EmbeddedHistorical historical = new EmbeddedHistorical(); + private final EmbeddedCoordinator coordinator = new EmbeddedCoordinator(); + private KafkaResource kafkaServer; + private KafkaSchemaRegistryResource schemaRegistry; + + @Override + public EmbeddedDruidCluster createCluster() + { + final EmbeddedDruidCluster cluster = EmbeddedDruidCluster.withEmbeddedDerbyAndZookeeper().useContainerFriendlyHostname(); + + kafkaServer = new KafkaResource(); + + schemaRegistry = new KafkaSchemaRegistryResource(kafkaServer); + + indexer.addProperty("druid.segment.handoff.pollDuration", "PT0.1s") + .addProperty("druid.worker.capacity", "10"); + overlord.addProperty("druid.manager.segments.useIncrementalCache", "ifSynced") + .addProperty("druid.manager.segments.pollDuration", "PT0.1s"); + coordinator.addProperty("druid.manager.segments.useIncrementalCache", "ifSynced"); + cluster.addExtension(KafkaIndexTaskModule.class) + .addExtension(ProtobufExtensionsModule.class) + .addExtension(AvroExtensionsModule.class) + .useLatchableEmitter() + .addCommonProperty("druid.monitoring.emissionPeriod", "PT0.1s") + .addCommonProperty( + "druid.monitoring.monitors", + "[\"org.apache.druid.server.metrics.TaskCountStatsMonitor\"]" + ) + .addResource(kafkaServer) + .addResource(schemaRegistry) + .addServer(coordinator) + .addServer(overlord) + .addServer(indexer) + .addServer(broker) + .addServer(historical); + + return cluster; + } + + @Test + @Timeout(30) + public void test_indexKafka_avroDataFormat_withParser() throws IOException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new AvroEventSerializer(); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + + Map<String, Object> avroSchema = createWikipediaAvroSchemaMap(); + + InlineSchemaAvroBytesDecoder avroBytesDecoder = overlord.bindings().jsonMapper().readValue( + StringUtils.format("{\"type\": \"schema_inline\", \"schema\": %s}", + overlord.bindings().jsonMapper().writeValueAsString(avroSchema)), + InlineSchemaAvroBytesDecoder.class + ); + + AvroParseSpec parseSpec = new AvroParseSpec( + new TimestampSpec("timestamp", "auto", null), + createWikipediaDimensionsSpec(), + null + ); + + AvroStreamInputRowParser parser = new AvroStreamInputRowParser( + parseSpec, + avroBytesDecoder, + false, + null + ); + + Map<String, Object> parserMap = overlord.bindings().jsonMapper().convertValue(parser, Map.class); + KafkaSupervisorSpec supervisorSpec = createDeprectatedKafkaSupervisor(dataSource, dataSource, parserMap); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_avroDataFormat() throws IOException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new AvroEventSerializer(); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + + Map<String, Object> avroSchema = createWikipediaAvroSchemaMap(); + + InlineSchemaAvroBytesDecoder avroBytesDecoder = overlord.bindings().jsonMapper().readValue( + StringUtils.format("{\"type\": \"schema_inline\", \"schema\": %s}", + overlord.bindings().jsonMapper().writeValueAsString(avroSchema)), + InlineSchemaAvroBytesDecoder.class + ); + + JSONPathSpec flattenSpec = new JSONPathSpec(true, null); + + AvroStreamInputFormat inputFormat = new AvroStreamInputFormat( + flattenSpec, + avroBytesDecoder, + false, + null + ); + + KafkaSupervisorSpec supervisorSpec = createKafkaSupervisor(dataSource, dataSource, inputFormat); + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_avroDataFormatWithSchemaRegistry_withParser() throws JsonProcessingException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new AvroSchemaRegistryEventSerializer(StringUtils.format("%s:%s", cluster.getEmbeddedHostname().toString(), schemaRegistry.getContainer().getMappedPort(9081))); + serializer.initialize(dataSource); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, true); + SchemaRegistryBasedAvroBytesDecoder avroBytesDecoder = overlord.bindings().jsonMapper().readValue( + StringUtils.format("{\"type\": \"schema_registry\", \"url\": \"http://%s:%s\"}";, + cluster.getEmbeddedHostname().toString(), + schemaRegistry.getContainer().getMappedPort(9081)), + SchemaRegistryBasedAvroBytesDecoder.class + ); + + AvroParseSpec parseSpec = new AvroParseSpec( + new TimestampSpec("timestamp", "auto", null), + createWikipediaDimensionsSpec(), + null + ); + + AvroStreamInputRowParser parser = new AvroStreamInputRowParser( + parseSpec, + avroBytesDecoder, + false, + null + ); + + // Convert to map for deprecated withParserMap method + Map<String, Object> parserMap = overlord.bindings().jsonMapper().convertValue(parser, Map.class); + KafkaSupervisorSpec supervisorSpec = createDeprectatedKafkaSupervisor(dataSource, dataSource, parserMap); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_avroDataFormatWithSchemaRegistry() throws JsonProcessingException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new AvroSchemaRegistryEventSerializer(StringUtils.format("%s:%s", cluster.getEmbeddedHostname().toString(), schemaRegistry.getContainer().getMappedPort(9081))); + serializer.initialize(dataSource); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, true); + SchemaRegistryBasedAvroBytesDecoder avroBytesDecoder = overlord.bindings().jsonMapper().readValue( + StringUtils.format("{\"type\": \"schema_registry\", \"urls\": [\"http://%s:%s\"]}";, + cluster.getEmbeddedHostname().toString(), + schemaRegistry.getContainer().getMappedPort(9081)), + SchemaRegistryBasedAvroBytesDecoder.class + ); + AvroStreamInputFormat inputFormat = new AvroStreamInputFormat(null, avroBytesDecoder, null, null); + + KafkaSupervisorSpec supervisorSpec = createKafkaSupervisor(dataSource, dataSource, inputFormat); + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_csvDataFormat() + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new CsvEventSerializer(); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + + CsvInputFormat inputFormat = new CsvInputFormat(WIKI_DIM_LIST, null, null, false, 0, false); + KafkaSupervisorSpec supervisorSpec = createKafkaSupervisor(dataSource, dataSource, inputFormat); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_csvDataFormat_withParser() throws JsonProcessingException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new CsvEventSerializer(); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + CSVParseSpec parseSpec = new CSVParseSpec( + new TimestampSpec("timestamp", "auto", null), + createWikipediaDimensionsSpec(), + null, + WIKI_DIM_LIST, + false, + 0 + ); + + StringInputRowParser parser = new StringInputRowParser(parseSpec, null); + + // Convert to map for deprecated withParserMap method + Map<String, Object> parserMap = overlord.bindings().jsonMapper().convertValue(parser, Map.class); + KafkaSupervisorSpec supervisorSpec = createDeprectatedKafkaSupervisor(dataSource, dataSource, parserMap); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_jsonDataFormat_withParser() throws JsonProcessingException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new JsonEventSerializer(overlord.bindings().jsonMapper()); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + JSONParseSpec parseSpec = new JSONParseSpec( + new TimestampSpec("timestamp", "auto", null), + createWikipediaDimensionsSpec(), + new JSONPathSpec(true, null), + null, + false + ); + + StringInputRowParser parser = new StringInputRowParser(parseSpec, null); + + // Convert to map for deprecated withParserMap method + Map<String, Object> parserMap = overlord.bindings().jsonMapper().convertValue(parser, Map.class); + KafkaSupervisorSpec supervisorSpec = createDeprectatedKafkaSupervisor(dataSource, dataSource, parserMap); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_jsonDataFormat() throws JsonProcessingException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + + EventSerializer serializer = new JsonEventSerializer(overlord.bindings().jsonMapper()); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + InputFormat inputFormat = new JsonInputFormat(null, null, null, false, null, null); + KafkaSupervisorSpec supervisorSpec = createKafkaSupervisor(dataSource, dataSource, inputFormat); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_protobufDataFormat_withParser() + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new ProtobufEventSerializer(); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + + FileBasedProtobufBytesDecoder protobufBytesDecoder = new FileBasedProtobufBytesDecoder( + "data/protobuf/wikipedia.desc", + "Wikipedia" + ); + + JSONParseSpec parseSpec = new JSONParseSpec( + new TimestampSpec("timestamp", "auto", null), + createWikipediaDimensionsSpec(), + new JSONPathSpec(true, null), + null, + false + ); + + // Manually create parser map for deprecated withParserMap method + Map<String, Object> parserMap = new HashMap<>(); + parserMap.put("type", "protobuf"); + parserMap.put("parseSpec", overlord.bindings().jsonMapper().convertValue(parseSpec, Map.class)); + parserMap.put("protoBytesDecoder", overlord.bindings().jsonMapper().convertValue(protobufBytesDecoder, Map.class)); + KafkaSupervisorSpec supervisorSpec = createDeprectatedKafkaSupervisor(dataSource, dataSource, parserMap); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + public void test_indexKafka_protobufDataFormat() throws JsonProcessingException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new ProtobufEventSerializer(); + + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + + FileBasedProtobufBytesDecoder protobufBytesDecoder = new FileBasedProtobufBytesDecoder( + "data/protobuf/wikipedia.desc", + "Wikipedia" + ); + + ProtobufInputFormat inputFormat = new ProtobufInputFormat(null, protobufBytesDecoder); + + KafkaSupervisorSpec supervisorSpec = createKafkaSupervisor(dataSource, dataSource, inputFormat); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_protobufDataFormatWithSchemaRegistry_withParser() + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new ProtobufSchemaRegistryEventSerializer(StringUtils.format("%s:%s", cluster.getEmbeddedHostname().toString(), schemaRegistry.getContainer().getMappedPort(9081))); + serializer.initialize(dataSource); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, true); + SchemaRegistryBasedProtobufBytesDecoder protobufBytesDecoder = new SchemaRegistryBasedProtobufBytesDecoder( + StringUtils.format("http://%s:%s";, cluster.getEmbeddedHostname().toString(), schemaRegistry.getContainer().getMappedPort(9081)), + null, + null, + null, + null, + overlord.bindings().jsonMapper() + ); + + JSONParseSpec parseSpec = new JSONParseSpec( + new TimestampSpec("timestamp", "auto", null), + createWikipediaDimensionsSpec(), + new JSONPathSpec(true, null), + null, + false + ); + + // Manually create parser map for deprecated withParserMap method + Map<String, Object> parserMap = new HashMap<>(); + parserMap.put("type", "protobuf"); + parserMap.put("parseSpec", overlord.bindings().jsonMapper().convertValue(parseSpec, Map.class)); + parserMap.put("protoBytesDecoder", overlord.bindings().jsonMapper().convertValue(protobufBytesDecoder, Map.class)); + KafkaSupervisorSpec supervisorSpec = createDeprectatedKafkaSupervisor(dataSource, dataSource, parserMap); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_protobufDataFormatWithSchemaRegistry() + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new ProtobufSchemaRegistryEventSerializer(StringUtils.format("%s:%s", cluster.getEmbeddedHostname().toString(), schemaRegistry.getContainer().getMappedPort(9081))); + serializer.initialize(dataSource); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, true); + SchemaRegistryBasedProtobufBytesDecoder protobufBytesDecoder = new SchemaRegistryBasedProtobufBytesDecoder( + null, + null, + List.of(StringUtils.format("http://%s:%s";, cluster.getEmbeddedHostname().toString(), schemaRegistry.getContainer().getMappedPort(9081))), + null, + null, + overlord.bindings().jsonMapper() + ); + ProtobufInputFormat inputFormat = new ProtobufInputFormat(null, protobufBytesDecoder); + KafkaSupervisorSpec supervisorSpec = createKafkaSupervisor(dataSource, dataSource, inputFormat); + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_tsvDataFormat_withParser() + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new DelimitedEventSerializer(); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + // Build DelimitedParseSpec with proper object construction for TSV + DelimitedParseSpec parseSpec = new DelimitedParseSpec( + new TimestampSpec("timestamp", "auto", null), + createWikipediaDimensionsSpec(), + "\t", + null, + WIKI_DIM_LIST, + false, + 0 + ); + + StringInputRowParser parser = new StringInputRowParser(parseSpec, null); + + Map<String, Object> parserMap = overlord.bindings().jsonMapper().convertValue(parser, Map.class); + KafkaSupervisorSpec supervisorSpec = createDeprectatedKafkaSupervisor(dataSource, dataSource, parserMap); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_tsvDataFormat() + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new DelimitedEventSerializer(); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + DelimitedInputFormat inputFormat = new DelimitedInputFormat( + WIKI_DIM_LIST, + null, + null, + false, + false, + 0, + null + ); + KafkaSupervisorSpec supervisorSpec = createKafkaSupervisor(dataSource, dataSource, inputFormat); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + private void waitForDataAndVerifyIngestedEvents(String dataSource, int expectedCount) + { + // Wait for the task to succeed + overlord.latchableEmitter().waitForEventAggregate( + event -> event.hasMetricName("task/success/count") + .hasDimension(DruidMetrics.DATASOURCE, dataSource), + agg -> agg.hasSumAtLeast(1) + ); + // Wait for the broker to discover the realtime segments + broker.latchableEmitter().waitForEvent( + event -> event.hasDimension(DruidMetrics.DATASOURCE, dataSource) + ); + + // Verify the count of rows ingested into the datasource so far + Assertions.assertEquals(StringUtils.format("%d", expectedCount), cluster.runSql("SELECT COUNT(*) FROM %s", dataSource)); + } + + private int generateStreamAndPublishToKafka(String topic, EventSerializer serializer, boolean useSchemaRegistry) + { + final StreamGenerator streamGenerator = new WikipediaStreamEventStreamGenerator( + serializer, + EVENTS_PER_SECOND, + CYCLE_PADDING_MS + ); + List<byte[]> records = streamGenerator.generate(10); + + ArrayList<ProducerRecord<byte[], byte[]>> producerRecords = new ArrayList<>(); + for (byte[] record : records) { + producerRecords.add(new ProducerRecord<>(topic, record)); + } + + + if (useSchemaRegistry) { + kafkaServer.produceRecordsToTopicWithExtraProperties( + producerRecords, + Map.of("schema.registry.url", StringUtils.format("http://%s:%s";, cluster.getEmbeddedHostname().toString(), schemaRegistry.getContainer().getMappedPort(9081))) + ); + } else { + kafkaServer.produceRecordsToTopic(producerRecords); + } + return producerRecords.size(); + } + + // Uses parser which is deprcated for KafkaIndexingService + private KafkaSupervisorSpec createDeprectatedKafkaSupervisor(String supervisorId, String topic, Map<String, Object> parserMap) + { + return new KafkaSupervisorSpec( + supervisorId, + null, + DataSchema.builder() + .withDataSource(dataSource) + .withTimestamp(new TimestampSpec("timestamp", null, null)) + .withDimensions(DimensionsSpec.EMPTY) + .withParserMap(parserMap) + .build(), + createTuningConfig(), + new KafkaSupervisorIOConfig( + topic, + null, + null, + null, null, + Period.seconds(1), + 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 KafkaSupervisorSpec createKafkaSupervisor(String supervisorId, String topic, InputFormat inputFormat) + { + return new KafkaSupervisorSpec( + supervisorId, + null, + DataSchema.builder() + .withDataSource(dataSource) + .withTimestamp(new TimestampSpec("timestamp", null, null)) + .withDimensions(DimensionsSpec.EMPTY) + .build(), + createTuningConfig(), + new KafkaSupervisorIOConfig( + topic, + null, + inputFormat, + null, null, + Period.seconds(1), + 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 Map<String, Object> createWikipediaAvroSchemaMap() + { + Map<String, Object> schema = new HashMap<>(); + schema.put("namespace", "org.apache.druid"); + schema.put("name", "wikipedia"); + schema.put("type", "record"); + + List<Map<String, Object>> fields = new ArrayList<>(); + fields.add(Map.of("name", "timestamp", "type", "string")); + fields.add(Map.of("name", "page", "type", "string")); + fields.add(Map.of("name", "language", "type", "string")); + fields.add(Map.of("name", "user", "type", "string")); + fields.add(Map.of("name", "unpatrolled", "type", "string")); + fields.add(Map.of("name", "newPage", "type", "string")); + fields.add(Map.of("name", "robot", "type", "string")); + fields.add(Map.of("name", "anonymous", "type", "string")); + fields.add(Map.of("name", "namespace", "type", "string")); + fields.add(Map.of("name", "continent", "type", "string")); + fields.add(Map.of("name", "country", "type", "string")); + fields.add(Map.of("name", "region", "type", "string")); + fields.add(Map.of("name", "city", "type", "string")); + fields.add(Map.of("name", "added", "type", "long")); + fields.add(Map.of("name", "deleted", "type", "long")); + fields.add(Map.of("name", "delta", "type", "long")); + + schema.put("fields", fields); + return schema; + } + + private DimensionsSpec createWikipediaDimensionsSpec() + { + return new DimensionsSpec(List.of( + new StringDimensionSchema("page"), + new StringDimensionSchema("language"), + new StringDimensionSchema("user"), + new StringDimensionSchema("unpatrolled"), + new StringDimensionSchema("newPage"), + new StringDimensionSchema("robot"), + new StringDimensionSchema("anonymous"), + new StringDimensionSchema("namespace"), + new StringDimensionSchema("continent"), + new StringDimensionSchema("country"), + new StringDimensionSchema("region"), + new StringDimensionSchema("city") + )); Review Comment: For simplicity, you can use ``` DimensionsSpec.builder().setDefaultSchemaDimensions( List.of( "page", "language", "..." ) ).build(); ########## embedded-tests/src/test/java/org/apache/druid/testing/embedded/indexing/KafkaDataFormatsTest.java: ########## @@ -0,0 +1,722 @@ +/* + * 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.testing.embedded.indexing; + +import com.fasterxml.jackson.core.JsonProcessingException; +import org.apache.druid.data.input.AvroStreamInputRowParser; +import org.apache.druid.data.input.InputFormat; +import org.apache.druid.data.input.avro.AvroExtensionsModule; +import org.apache.druid.data.input.avro.AvroParseSpec; +import org.apache.druid.data.input.avro.AvroStreamInputFormat; +import org.apache.druid.data.input.avro.InlineSchemaAvroBytesDecoder; +import org.apache.druid.data.input.avro.SchemaRegistryBasedAvroBytesDecoder; +import org.apache.druid.data.input.impl.CSVParseSpec; +import org.apache.druid.data.input.impl.CsvInputFormat; +import org.apache.druid.data.input.impl.DelimitedInputFormat; +import org.apache.druid.data.input.impl.DelimitedParseSpec; +import org.apache.druid.data.input.impl.DimensionsSpec; +import org.apache.druid.data.input.impl.JSONParseSpec; +import org.apache.druid.data.input.impl.JsonInputFormat; +import org.apache.druid.data.input.impl.StringDimensionSchema; +import org.apache.druid.data.input.impl.StringInputRowParser; +import org.apache.druid.data.input.impl.TimestampSpec; +import org.apache.druid.data.input.protobuf.FileBasedProtobufBytesDecoder; +import org.apache.druid.data.input.protobuf.ProtobufExtensionsModule; +import org.apache.druid.data.input.protobuf.ProtobufInputFormat; +import org.apache.druid.data.input.protobuf.SchemaRegistryBasedProtobufBytesDecoder; +import org.apache.druid.indexing.kafka.KafkaIndexTaskModule; +import org.apache.druid.indexing.kafka.simulate.KafkaResource; +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.java.util.common.StringUtils; +import org.apache.druid.java.util.common.parsers.JSONPathSpec; +import org.apache.druid.query.DruidMetrics; +import org.apache.druid.segment.indexing.DataSchema; +import org.apache.druid.testing.embedded.EmbeddedBroker; +import org.apache.druid.testing.embedded.EmbeddedCoordinator; +import org.apache.druid.testing.embedded.EmbeddedDruidCluster; +import org.apache.druid.testing.embedded.EmbeddedHistorical; +import org.apache.druid.testing.embedded.EmbeddedIndexer; +import org.apache.druid.testing.embedded.EmbeddedOverlord; +import org.apache.druid.testing.embedded.junit5.EmbeddedClusterTestBase; +import org.apache.druid.testing.tools.AvroEventSerializer; +import org.apache.druid.testing.tools.AvroSchemaRegistryEventSerializer; +import org.apache.druid.testing.tools.CsvEventSerializer; +import org.apache.druid.testing.tools.DelimitedEventSerializer; +import org.apache.druid.testing.tools.EventSerializer; +import org.apache.druid.testing.tools.JsonEventSerializer; +import org.apache.druid.testing.tools.ProtobufEventSerializer; +import org.apache.druid.testing.tools.ProtobufSchemaRegistryEventSerializer; +import org.apache.druid.testing.tools.StreamGenerator; +import org.apache.druid.testing.tools.WikipediaStreamEventStreamGenerator; +import org.apache.kafka.clients.producer.ProducerRecord; +import org.joda.time.Period; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.Test; +import org.junit.jupiter.api.Timeout; + +import java.io.IOException; +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; +import java.util.Map; + +/** + * Embedded test of Kafka indexing for different data formats. + * Formats Included: + * <ul> + * <li>Avro (with and without schema registry)</li> + * <li>CSV</li> + * <li>JSON</li> + * <li>Protobuf (with and without schema registry)</li> + * </ul> + * + * This tests both InputFormat and Parser. Parser is deprecated for Kafka Ingestion, and those tests will be removed in the future. + */ +public class KafkaDataFormatsTest extends EmbeddedClusterTestBase +{ + private static final long CYCLE_PADDING_MS = 100; + private static final int EVENTS_PER_SECOND = 6; + private static final List<String> WIKI_DIM_LIST = List.of("timestamp", "page", "language", "user", + "unpatrolled", "newPage", "robot", "anonymous", "namespace", + "continent", "country", "region", "city", "added", + "deleted", "delta"); + + private final EmbeddedBroker broker = new EmbeddedBroker(); + private final EmbeddedIndexer indexer = new EmbeddedIndexer(); + private final EmbeddedOverlord overlord = new EmbeddedOverlord(); + private final EmbeddedHistorical historical = new EmbeddedHistorical(); + private final EmbeddedCoordinator coordinator = new EmbeddedCoordinator(); + private KafkaResource kafkaServer; + private KafkaSchemaRegistryResource schemaRegistry; + + @Override + public EmbeddedDruidCluster createCluster() + { + final EmbeddedDruidCluster cluster = EmbeddedDruidCluster.withEmbeddedDerbyAndZookeeper().useContainerFriendlyHostname(); + + kafkaServer = new KafkaResource(); + + schemaRegistry = new KafkaSchemaRegistryResource(kafkaServer); + + indexer.addProperty("druid.segment.handoff.pollDuration", "PT0.1s") + .addProperty("druid.worker.capacity", "10"); + overlord.addProperty("druid.manager.segments.useIncrementalCache", "ifSynced") + .addProperty("druid.manager.segments.pollDuration", "PT0.1s"); + coordinator.addProperty("druid.manager.segments.useIncrementalCache", "ifSynced"); + cluster.addExtension(KafkaIndexTaskModule.class) + .addExtension(ProtobufExtensionsModule.class) + .addExtension(AvroExtensionsModule.class) + .useLatchableEmitter() + .addCommonProperty("druid.monitoring.emissionPeriod", "PT0.1s") + .addCommonProperty( + "druid.monitoring.monitors", + "[\"org.apache.druid.server.metrics.TaskCountStatsMonitor\"]" + ) + .addResource(kafkaServer) + .addResource(schemaRegistry) + .addServer(coordinator) + .addServer(overlord) + .addServer(indexer) + .addServer(broker) + .addServer(historical); + + return cluster; + } + + @Test + @Timeout(30) + public void test_indexKafka_avroDataFormat_withParser() throws IOException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new AvroEventSerializer(); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + + Map<String, Object> avroSchema = createWikipediaAvroSchemaMap(); + + InlineSchemaAvroBytesDecoder avroBytesDecoder = overlord.bindings().jsonMapper().readValue( + StringUtils.format("{\"type\": \"schema_inline\", \"schema\": %s}", + overlord.bindings().jsonMapper().writeValueAsString(avroSchema)), + InlineSchemaAvroBytesDecoder.class + ); + + AvroParseSpec parseSpec = new AvroParseSpec( + new TimestampSpec("timestamp", "auto", null), + createWikipediaDimensionsSpec(), + null + ); + + AvroStreamInputRowParser parser = new AvroStreamInputRowParser( + parseSpec, + avroBytesDecoder, + false, + null + ); + + Map<String, Object> parserMap = overlord.bindings().jsonMapper().convertValue(parser, Map.class); + KafkaSupervisorSpec supervisorSpec = createDeprectatedKafkaSupervisor(dataSource, dataSource, parserMap); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_avroDataFormat() throws IOException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new AvroEventSerializer(); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + + Map<String, Object> avroSchema = createWikipediaAvroSchemaMap(); + + InlineSchemaAvroBytesDecoder avroBytesDecoder = overlord.bindings().jsonMapper().readValue( + StringUtils.format("{\"type\": \"schema_inline\", \"schema\": %s}", + overlord.bindings().jsonMapper().writeValueAsString(avroSchema)), + InlineSchemaAvroBytesDecoder.class + ); + + JSONPathSpec flattenSpec = new JSONPathSpec(true, null); + + AvroStreamInputFormat inputFormat = new AvroStreamInputFormat( + flattenSpec, + avroBytesDecoder, + false, + null + ); + + KafkaSupervisorSpec supervisorSpec = createKafkaSupervisor(dataSource, dataSource, inputFormat); + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_avroDataFormatWithSchemaRegistry_withParser() throws JsonProcessingException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new AvroSchemaRegistryEventSerializer(StringUtils.format("%s:%s", cluster.getEmbeddedHostname().toString(), schemaRegistry.getContainer().getMappedPort(9081))); + serializer.initialize(dataSource); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, true); + SchemaRegistryBasedAvroBytesDecoder avroBytesDecoder = overlord.bindings().jsonMapper().readValue( + StringUtils.format("{\"type\": \"schema_registry\", \"url\": \"http://%s:%s\"}";, + cluster.getEmbeddedHostname().toString(), + schemaRegistry.getContainer().getMappedPort(9081)), + SchemaRegistryBasedAvroBytesDecoder.class + ); + + AvroParseSpec parseSpec = new AvroParseSpec( + new TimestampSpec("timestamp", "auto", null), + createWikipediaDimensionsSpec(), + null + ); + + AvroStreamInputRowParser parser = new AvroStreamInputRowParser( + parseSpec, + avroBytesDecoder, + false, + null + ); + + // Convert to map for deprecated withParserMap method + Map<String, Object> parserMap = overlord.bindings().jsonMapper().convertValue(parser, Map.class); + KafkaSupervisorSpec supervisorSpec = createDeprectatedKafkaSupervisor(dataSource, dataSource, parserMap); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_avroDataFormatWithSchemaRegistry() throws JsonProcessingException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new AvroSchemaRegistryEventSerializer(StringUtils.format("%s:%s", cluster.getEmbeddedHostname().toString(), schemaRegistry.getContainer().getMappedPort(9081))); + serializer.initialize(dataSource); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, true); + SchemaRegistryBasedAvroBytesDecoder avroBytesDecoder = overlord.bindings().jsonMapper().readValue( + StringUtils.format("{\"type\": \"schema_registry\", \"urls\": [\"http://%s:%s\"]}";, + cluster.getEmbeddedHostname().toString(), + schemaRegistry.getContainer().getMappedPort(9081)), + SchemaRegistryBasedAvroBytesDecoder.class + ); + AvroStreamInputFormat inputFormat = new AvroStreamInputFormat(null, avroBytesDecoder, null, null); + + KafkaSupervisorSpec supervisorSpec = createKafkaSupervisor(dataSource, dataSource, inputFormat); + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_csvDataFormat() + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new CsvEventSerializer(); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + + CsvInputFormat inputFormat = new CsvInputFormat(WIKI_DIM_LIST, null, null, false, 0, false); + KafkaSupervisorSpec supervisorSpec = createKafkaSupervisor(dataSource, dataSource, inputFormat); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_csvDataFormat_withParser() throws JsonProcessingException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new CsvEventSerializer(); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + CSVParseSpec parseSpec = new CSVParseSpec( + new TimestampSpec("timestamp", "auto", null), + createWikipediaDimensionsSpec(), + null, + WIKI_DIM_LIST, + false, + 0 + ); + + StringInputRowParser parser = new StringInputRowParser(parseSpec, null); + + // Convert to map for deprecated withParserMap method + Map<String, Object> parserMap = overlord.bindings().jsonMapper().convertValue(parser, Map.class); + KafkaSupervisorSpec supervisorSpec = createDeprectatedKafkaSupervisor(dataSource, dataSource, parserMap); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_jsonDataFormat_withParser() throws JsonProcessingException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new JsonEventSerializer(overlord.bindings().jsonMapper()); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + JSONParseSpec parseSpec = new JSONParseSpec( + new TimestampSpec("timestamp", "auto", null), + createWikipediaDimensionsSpec(), + new JSONPathSpec(true, null), + null, + false + ); + + StringInputRowParser parser = new StringInputRowParser(parseSpec, null); + + // Convert to map for deprecated withParserMap method + Map<String, Object> parserMap = overlord.bindings().jsonMapper().convertValue(parser, Map.class); + KafkaSupervisorSpec supervisorSpec = createDeprectatedKafkaSupervisor(dataSource, dataSource, parserMap); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_jsonDataFormat() throws JsonProcessingException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + + EventSerializer serializer = new JsonEventSerializer(overlord.bindings().jsonMapper()); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + InputFormat inputFormat = new JsonInputFormat(null, null, null, false, null, null); + KafkaSupervisorSpec supervisorSpec = createKafkaSupervisor(dataSource, dataSource, inputFormat); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_protobufDataFormat_withParser() + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new ProtobufEventSerializer(); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + + FileBasedProtobufBytesDecoder protobufBytesDecoder = new FileBasedProtobufBytesDecoder( + "data/protobuf/wikipedia.desc", + "Wikipedia" + ); + + JSONParseSpec parseSpec = new JSONParseSpec( + new TimestampSpec("timestamp", "auto", null), + createWikipediaDimensionsSpec(), + new JSONPathSpec(true, null), + null, + false + ); + + // Manually create parser map for deprecated withParserMap method + Map<String, Object> parserMap = new HashMap<>(); + parserMap.put("type", "protobuf"); + parserMap.put("parseSpec", overlord.bindings().jsonMapper().convertValue(parseSpec, Map.class)); + parserMap.put("protoBytesDecoder", overlord.bindings().jsonMapper().convertValue(protobufBytesDecoder, Map.class)); + KafkaSupervisorSpec supervisorSpec = createDeprectatedKafkaSupervisor(dataSource, dataSource, parserMap); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + public void test_indexKafka_protobufDataFormat() throws JsonProcessingException + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new ProtobufEventSerializer(); + + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + + FileBasedProtobufBytesDecoder protobufBytesDecoder = new FileBasedProtobufBytesDecoder( + "data/protobuf/wikipedia.desc", + "Wikipedia" + ); + + ProtobufInputFormat inputFormat = new ProtobufInputFormat(null, protobufBytesDecoder); + + KafkaSupervisorSpec supervisorSpec = createKafkaSupervisor(dataSource, dataSource, inputFormat); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_protobufDataFormatWithSchemaRegistry_withParser() + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new ProtobufSchemaRegistryEventSerializer(StringUtils.format("%s:%s", cluster.getEmbeddedHostname().toString(), schemaRegistry.getContainer().getMappedPort(9081))); + serializer.initialize(dataSource); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, true); + SchemaRegistryBasedProtobufBytesDecoder protobufBytesDecoder = new SchemaRegistryBasedProtobufBytesDecoder( + StringUtils.format("http://%s:%s";, cluster.getEmbeddedHostname().toString(), schemaRegistry.getContainer().getMappedPort(9081)), + null, + null, + null, + null, + overlord.bindings().jsonMapper() + ); + + JSONParseSpec parseSpec = new JSONParseSpec( + new TimestampSpec("timestamp", "auto", null), + createWikipediaDimensionsSpec(), + new JSONPathSpec(true, null), + null, + false + ); + + // Manually create parser map for deprecated withParserMap method + Map<String, Object> parserMap = new HashMap<>(); + parserMap.put("type", "protobuf"); + parserMap.put("parseSpec", overlord.bindings().jsonMapper().convertValue(parseSpec, Map.class)); + parserMap.put("protoBytesDecoder", overlord.bindings().jsonMapper().convertValue(protobufBytesDecoder, Map.class)); + KafkaSupervisorSpec supervisorSpec = createDeprectatedKafkaSupervisor(dataSource, dataSource, parserMap); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_protobufDataFormatWithSchemaRegistry() + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new ProtobufSchemaRegistryEventSerializer(StringUtils.format("%s:%s", cluster.getEmbeddedHostname().toString(), schemaRegistry.getContainer().getMappedPort(9081))); + serializer.initialize(dataSource); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, true); + SchemaRegistryBasedProtobufBytesDecoder protobufBytesDecoder = new SchemaRegistryBasedProtobufBytesDecoder( + null, + null, + List.of(StringUtils.format("http://%s:%s";, cluster.getEmbeddedHostname().toString(), schemaRegistry.getContainer().getMappedPort(9081))), + null, + null, + overlord.bindings().jsonMapper() + ); + ProtobufInputFormat inputFormat = new ProtobufInputFormat(null, protobufBytesDecoder); + KafkaSupervisorSpec supervisorSpec = createKafkaSupervisor(dataSource, dataSource, inputFormat); + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_tsvDataFormat_withParser() + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new DelimitedEventSerializer(); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + // Build DelimitedParseSpec with proper object construction for TSV + DelimitedParseSpec parseSpec = new DelimitedParseSpec( + new TimestampSpec("timestamp", "auto", null), + createWikipediaDimensionsSpec(), + "\t", + null, + WIKI_DIM_LIST, + false, + 0 + ); + + StringInputRowParser parser = new StringInputRowParser(parseSpec, null); + + Map<String, Object> parserMap = overlord.bindings().jsonMapper().convertValue(parser, Map.class); + KafkaSupervisorSpec supervisorSpec = createDeprectatedKafkaSupervisor(dataSource, dataSource, parserMap); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + @Test + @Timeout(30) + public void test_indexKafka_tsvDataFormat() + { + kafkaServer.createTopicWithPartitions(dataSource, 3); + EventSerializer serializer = new DelimitedEventSerializer(); + int recordCount = generateStreamAndPublishToKafka(dataSource, serializer, false); + DelimitedInputFormat inputFormat = new DelimitedInputFormat( + WIKI_DIM_LIST, + null, + null, + false, + false, + 0, + null + ); + KafkaSupervisorSpec supervisorSpec = createKafkaSupervisor(dataSource, dataSource, inputFormat); + + final Map<String, String> startSupervisorResult = cluster.callApi().onLeaderOverlord( + o -> o.postSupervisor(supervisorSpec) + ); + Assertions.assertEquals(Map.of("id", dataSource), startSupervisorResult); + + waitForDataAndVerifyIngestedEvents(dataSource, recordCount); + } + + private void waitForDataAndVerifyIngestedEvents(String dataSource, int expectedCount) + { + // Wait for the task to succeed + overlord.latchableEmitter().waitForEventAggregate( + event -> event.hasMetricName("task/success/count") + .hasDimension(DruidMetrics.DATASOURCE, dataSource), + agg -> agg.hasSumAtLeast(1) + ); + // Wait for the broker to discover the realtime segments + broker.latchableEmitter().waitForEvent( + event -> event.hasDimension(DruidMetrics.DATASOURCE, dataSource) + ); + + // Verify the count of rows ingested into the datasource so far + Assertions.assertEquals(StringUtils.format("%d", expectedCount), cluster.runSql("SELECT COUNT(*) FROM %s", dataSource)); + } + + private int generateStreamAndPublishToKafka(String topic, EventSerializer serializer, boolean useSchemaRegistry) + { + final StreamGenerator streamGenerator = new WikipediaStreamEventStreamGenerator( + serializer, + EVENTS_PER_SECOND, + CYCLE_PADDING_MS + ); + List<byte[]> records = streamGenerator.generate(10); + + ArrayList<ProducerRecord<byte[], byte[]>> producerRecords = new ArrayList<>(); + for (byte[] record : records) { + producerRecords.add(new ProducerRecord<>(topic, record)); + } + + + if (useSchemaRegistry) { + kafkaServer.produceRecordsToTopicWithExtraProperties( + producerRecords, + Map.of("schema.registry.url", StringUtils.format("http://%s:%s";, cluster.getEmbeddedHostname().toString(), schemaRegistry.getContainer().getMappedPort(9081))) + ); + } else { + kafkaServer.produceRecordsToTopic(producerRecords); + } + return producerRecords.size(); + } + + // Uses parser which is deprcated for KafkaIndexingService + private KafkaSupervisorSpec createDeprectatedKafkaSupervisor(String supervisorId, String topic, Map<String, Object> parserMap) + { + return new KafkaSupervisorSpec( + supervisorId, + null, + DataSchema.builder() + .withDataSource(dataSource) + .withTimestamp(new TimestampSpec("timestamp", null, null)) + .withDimensions(DimensionsSpec.EMPTY) + .withParserMap(parserMap) + .build(), + createTuningConfig(), + new KafkaSupervisorIOConfig( + topic, + null, + null, + null, null, + Period.seconds(1), + 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 KafkaSupervisorSpec createKafkaSupervisor(String supervisorId, String topic, InputFormat inputFormat) + { + return new KafkaSupervisorSpec( + supervisorId, + null, + DataSchema.builder() + .withDataSource(dataSource) + .withTimestamp(new TimestampSpec("timestamp", null, null)) + .withDimensions(DimensionsSpec.EMPTY) + .build(), + createTuningConfig(), + new KafkaSupervisorIOConfig( + topic, + null, + inputFormat, + null, null, + Period.seconds(1), + 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 Map<String, Object> createWikipediaAvroSchemaMap() + { + Map<String, Object> schema = new HashMap<>(); + schema.put("namespace", "org.apache.druid"); + schema.put("name", "wikipedia"); + schema.put("type", "record"); + + List<Map<String, Object>> fields = new ArrayList<>(); + fields.add(Map.of("name", "timestamp", "type", "string")); + fields.add(Map.of("name", "page", "type", "string")); + fields.add(Map.of("name", "language", "type", "string")); + fields.add(Map.of("name", "user", "type", "string")); + fields.add(Map.of("name", "unpatrolled", "type", "string")); + fields.add(Map.of("name", "newPage", "type", "string")); + fields.add(Map.of("name", "robot", "type", "string")); + fields.add(Map.of("name", "anonymous", "type", "string")); + fields.add(Map.of("name", "namespace", "type", "string")); + fields.add(Map.of("name", "continent", "type", "string")); + fields.add(Map.of("name", "country", "type", "string")); + fields.add(Map.of("name", "region", "type", "string")); + fields.add(Map.of("name", "city", "type", "string")); + fields.add(Map.of("name", "added", "type", "long")); + fields.add(Map.of("name", "deleted", "type", "long")); + fields.add(Map.of("name", "delta", "type", "long")); + + schema.put("fields", fields); + return schema; + } + + private DimensionsSpec createWikipediaDimensionsSpec() + { + return new DimensionsSpec(List.of( + new StringDimensionSchema("page"), + new StringDimensionSchema("language"), + new StringDimensionSchema("user"), + new StringDimensionSchema("unpatrolled"), + new StringDimensionSchema("newPage"), + new StringDimensionSchema("robot"), + new StringDimensionSchema("anonymous"), + new StringDimensionSchema("namespace"), + new StringDimensionSchema("continent"), + new StringDimensionSchema("country"), + new StringDimensionSchema("region"), + new StringDimensionSchema("city") + )); Review Comment: For simplicity, you can use ```java DimensionsSpec.builder().setDefaultSchemaDimensions( List.of( "page", "language", "..." ) ).build(); -- This is an automated message from the Apache Git Service. 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