/**
* 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 kafka.examples;
import kafka.javaapi.producer.ProducerData;
import kafka.producer.ProducerConfig;
import java.util.Properties;
public class Producer extends Thread
{
private final kafka.javaapi.producer.Producer<Integer, String> producer;
private final String topic;
private final Properties props = new Properties();
public Producer(String topic)
{
props.put("serializer.class", "kafka.serializer.StringEncoder");
props.put("zk.connect", "localhost:2181");
// Use random partitioner. Don't need the key type. Just set it to Integer.
// The message is of type String.
producer = new kafka.javaapi.producer.Producer<Integer, String>(new ProducerConfig(props));
this.topic = topic;
}
public void run() {
int messageNo = 1;
while(true)
{
String messageStr = new String("Message_" + messageNo);
producer.send(new ProducerData<Integer, String>(topic, messageStr));
messageNo++;
}
}
}