capistrant commented on code in PR #18383: URL: https://github.com/apache/druid/pull/18383#discussion_r2271798076
########## 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); Review Comment: Next commit will have a take on this. I was having serde issues with an additional constructor that allows an InputRowParser. That is how I understood your suggestion. I instead changed the existing DataSchema constructor to allow InputRowParser, only if the existing standard of parserMap is not present. let me know what you think -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
