| /** |
| * 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 com.datatorrent.benchmark.kafka; |
| |
| import java.util.Properties; |
| |
| |
| import org.apache.hadoop.conf.Configuration; |
| |
| import com.datatorrent.api.Context.OperatorContext; |
| import com.datatorrent.api.Context.PortContext; |
| |
| import com.datatorrent.api.DAG; |
| |
| import com.datatorrent.api.DAG.Locality; |
| import com.datatorrent.api.DefaultInputPort; |
| |
| import com.datatorrent.api.StreamingApplication; |
| import com.datatorrent.api.annotation.ApplicationAnnotation; |
| |
| import com.datatorrent.common.util.BaseOperator; |
| import com.datatorrent.contrib.kafka.HighlevelKafkaConsumer; |
| import com.datatorrent.contrib.kafka.KafkaConsumer; |
| import com.datatorrent.contrib.kafka.SimpleKafkaConsumer; |
| |
| /** |
| * The stream app to test the benckmark of kafka |
| * You can set the property file to make it using either {@link SimpleKafkaConsumer} or {@link HighlevelKafkaConsumer} |
| * The performance are pretty close |
| * |
| * @since 0.9.3 |
| */ |
| @ApplicationAnnotation(name = "KafkaInputBenchmark") |
| public class KafkaInputBenchmark implements StreamingApplication |
| { |
| |
| public static class CollectorModule extends BaseOperator |
| { |
| public final transient DefaultInputPort<String> inputPort = new DefaultInputPort<String>() |
| { |
| |
| @Override |
| public void process(String arg0) |
| { |
| } |
| }; |
| } |
| |
| @Override |
| public void populateDAG(DAG dag, Configuration conf) |
| { |
| |
| dag.setAttribute(DAG.APPLICATION_NAME, "KafkaInputOperatorPartitionDemo"); |
| BenchmarkKafkaInputOperator bpkio = new BenchmarkKafkaInputOperator(); |
| |
| String type = conf.get("kafka.consumertype", "simple"); |
| |
| KafkaConsumer consumer = null; |
| |
| if (type.equals("highlevel")) { |
| // Create template high-level consumer |
| |
| Properties props = new Properties(); |
| props.put("group.id", "main_group"); |
| props.put("auto.offset.reset", "smallest"); |
| consumer = new HighlevelKafkaConsumer(props); |
| } else { |
| // topic is set via property file |
| consumer = new SimpleKafkaConsumer(null, 10000, 100000, "test_kafka_autop_client", null); |
| } |
| |
| bpkio.setZookeeper(conf.get("dt.kafka.zookeeper")); |
| bpkio.setInitialPartitionCount(1); |
| //bpkio.setTuplesBlast(1024 * 1024); |
| bpkio.setConsumer(consumer); |
| |
| bpkio = dag.addOperator("KafkaBenchmarkConsumer", bpkio); |
| |
| CollectorModule cm = dag.addOperator("DataBlackhole", CollectorModule.class); |
| dag.addStream("end", bpkio.oport, cm.inputPort).setLocality(Locality.CONTAINER_LOCAL); |
| dag.setInputPortAttribute(cm.inputPort, PortContext.PARTITION_PARALLEL, true); |
| dag.setAttribute(bpkio, OperatorContext.COUNTERS_AGGREGATOR, new KafkaConsumer.KafkaMeterStatsAggregator()); |
| // dag.setAttribute(bpkio, OperatorContext.STATS_LISTENER, KafkaMeterStatsListener.class); |
| |
| } |
| |
| } |