For particular reasons I need to use both - ConsumerGroup
(a.k.a. high-level consumer) and SimpleConsumer
(a.k.a. low-level consumer) to read from
public KafkaProducer(String zookeeperAddress, String topic) throws IOException,
KeeperException, InterruptedException {
this.zookeeperAddress = zookeeperAddress;
this.topic = topic;
ZooKeeper zk = new ZooKeeper(zookeeperAddress, 10000, null);
List<String> brokerList = new ArrayList<String>();
List<String> ids = zk.getChildren("/brokers/ids", false);
for (String id : ids) {
String brokerInfoString = new String(zk.getData("/brokers/ids/" + id, false, null));
Broker broker = Broker.createBroker(Integer.valueOf(id), brokerInfoString);
if (broker != null) {
brokerList.add(broker.connectionString());
}
}
props.put("serializer.class", KAFKA_STRING_ENCODER);
props.put("metadata.broker.list", String.join(",", brokerList));
producer = new Producer<String, String>(new ProducerConfig(props));
}
To do this using the shell:
zookeeper-shell myzookeeper.example.com:2181
ls /brokers/ids
=> [2, 1, 0]
get /brokers/ids/2
get /brokers/ids/1
get /brokers/ids/0
It turns out that Kafka uses ZKStringSerializer
to read and write data into znodes. So, to fix the error I only had to add it as a last parameter in ZkClient
constructor:
val zkClient = new ZkClient(zkQuorum, Integer.MAX_VALUE, 10000, ZKStringSerializer)
Using it, I wrote several useful functions for discovering broker ids, their addresses and other stuff:
import kafka.utils.Json
import kafka.utils.ZKStringSerializer
import kafka.utils.ZkUtils
import org.I0Itec.zkclient.ZkClient
import org.apache.kafka.common.KafkaException
def listBrokers(): List[Int] = {
zkClient.getChildren("/brokers/ids").toList.map(_.toInt)
}
def listTopics(): List[String] = {
zkClient.getChildren("/brokers/topics").toList
}
def listPartitions(topic: String): List[Int] = {
val path = "/brokers/topics/" + topic + "/partitions"
if (zkClient.exists(path)) {
zkClient.getChildren(path).toList.map(_.toInt)
} else {
throw new KafkaException(s"Topic ${topic} doesn't exist")
}
}
def getBrokerAddress(brokerId: Int): (String, Int) = {
val path = s"/brokers/ids/${brokerId}"
if (zkClient.exists(path)) {
val brokerInfo = readZkData(path)
(brokerInfo.get("host").get.asInstanceOf[String], brokerInfo.get("port").get.asInstanceOf[Int])
} else {
throw new KafkaException("Broker with ID ${brokerId} doesn't exist")
}
}
def getLeaderAddress(topic: String, partitionId: Int): (String, Int) = {
val path = s"/brokers/topics/${topic}/partitions/${partitionId}/state"
if (zkClient.exists(path)) {
val leaderStr = zkClient.readData[String](path)
val leaderId = Json.parseFull(leaderStr).get.asInstanceOf[Map[String, Any]].get("leader").get.asInstanceOf[Int]
getBrokerAddress(leaderId)
} else {
throw new KafkaException(s"Topic (${topic}) or partition (${partitionId}) doesn't exist")
}
}
actually, there is ZkUtils
from within Kafka (at least for 0.8.x line), that you can use with one small caveat: you'll need to re-implement ZkStringSerializer that would convert strings as UTF-8 encoded byte arrays. If you'd like to use Java8's streaming APIs, you can iterate over Scala collections throug scala.collection.JavaConversions
. This is the thing that helped my case.
That is the way of what one of my colleagues did to get a list of Kafka brokers. I think it's a correct way when you want to get a broker list dynamically.
Here is an example code that shows how to get the list.
public class KafkaBrokerInfoFetcher {
public static void main(String[] args) throws Exception {
ZooKeeper zk = new ZooKeeper("localhost:2181", 10000, null);
List<String> ids = zk.getChildren("/brokers/ids", false);
for (String id : ids) {
String brokerInfo = new String(zk.getData("/brokers/ids/" + id, false, null));
System.out.println(id + ": " + brokerInfo);
}
}
}
Running the code onto the cluster consisting of three brokers results in
1: {"jmx_port":-1,"timestamp":"1428512949385","host":"192.168.0.11","version":1,"port":9093}
2: {"jmx_port":-1,"timestamp":"1428512955512","host":"192.168.0.11","version":1,"port":9094}
3: {"jmx_port":-1,"timestamp":"1428512961043","host":"192.168.0.11","version":1,"port":9095}