本文整理汇总了Scala中kafka.utils.ZkUtils类的典型用法代码示例。如果您正苦于以下问题：Scala ZkUtils类的具体用法？Scala ZkUtils怎么用？Scala ZkUtils使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了ZkUtils类的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Scala代码示例。
示例1: KafkaUtilities
//设置package包名称以及导入依赖的类
package com.fortysevendeg.log.utils
import java.util.Properties
import kafka.admin.AdminUtils
import kafka.producer.{KeyedMessage, Producer, ProducerConfig}
import kafka.utils.ZkUtils
import org.I0Itec.zkclient.ZkConnection
import org.apache.kafka.clients.consumer.KafkaConsumer
object KafkaUtilities {
def createKafkaProducer(): Producer[String, String] = {
val props = new Properties()
props.put("metadata.broker.list", "localhost:9092")
props.put("serializer.class", "kafka.serializer.StringEncoder")
// props.put("partitioner.class", "com.fortysevendeg.biglog.SimplePartitioner")
// props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer")
// props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer")
props.put("producer.type", "async")
props.put("request.required.acks", "1")
val config = new ProducerConfig(props)
new Producer[String, String](config)
}
def createKafkaConsumer(): KafkaConsumer[String, String] = {
val props = new Properties()
props.put("bootstrap.servers", "localhost:9092")
props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")
props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")
new KafkaConsumer[String, String](props)
}
def createTopicIntoKafka(topic: String, numPartitions: Int, replicationFactor: Int): Unit = {
val zookeeperConnect = "localhost:2181"
val sessionTimeoutMs = 10 * 1000
val connectionTimeoutMs = 8 * 1000
val zkClient = ZkUtils.createZkClient(zookeeperConnect, sessionTimeoutMs, connectionTimeoutMs)
val zkUtils = new ZkUtils(zkClient, zkConnection = new ZkConnection(zookeeperConnect), isSecure = false)
AdminUtils.createTopic(zkUtils, topic, numPartitions, replicationFactor, new Properties)
zkClient.close()
}
def d(kafkaProducer: Producer[String, String], topic: String, message: String) = {
kafkaProducer.send(new KeyedMessage[String, String](topic, message))
}
} 示例2: Cluster
//设置package包名称以及导入依赖的类
package net.kemuridama.kafcon.model
import scala.concurrent.Future
import scala.concurrent.ExecutionContext.Implicits.global
import spray.json._
import kafka.utils.ZkUtils
import net.kemuridama.kafcon.protocol.ZooKeeperBrokerJsonProtocol
case class Cluster(
id: Int,
name: String,
zookeepers: List[String]
) extends ZooKeeperBrokerJsonProtocol {
private val sessionTimeout = 10 * 1000
private val connectionTimeout = 10 * 1000
private var connectionState: ConnectionState = ConnectionState.Disconnected
private def brokerPath(id: Int) = "/brokers/ids/%d".format(id)
def withZkUtils[T](func: ZkUtils => T): Future[T] = Future {
val zkUtils = ZkUtils(zookeepers.mkString(","), sessionTimeout, connectionTimeout, false)
val ret = func(zkUtils)
zkUtils.close
ret
}
def getConnectionState: ConnectionState = connectionState
def getAllBrokers: Future[List[Broker]] = withZkUtils { zk =>
zk.getAllBrokersInCluster.toList.map { broker =>
val (data, stat) = zk.readDataMaybeNull(brokerPath(broker.id))
data.map(_.parseJson.convertTo[ZooKeeperBroker].toBroker(id, broker.id))
} flatten
}
def getAllTopics: Future[List[String]] = withZkUtils(_.getAllTopics.toList)
def toClusterResponseData(brokers: List[Broker], topics: List[Topic]): ClusterResponseData = {
ClusterResponseData(
id = id,
name = name,
zookeepers = zookeepers,
brokers = brokers,
topics = topics,
partitionCount = topics.map(_.partitions.size).sum,
messageCount = topics.map(_.messageCount).sum,
connectionState = getConnectionState
)
}
}