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kafka 集群_10分钟搭建单机Kafka集群
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搭建zookeeper集群 apache zookeeper官網(wǎng) apache zookeeper下載地址 apache zookeeper 3.5.5.tar.gz
tar -zxvf apache-zookeeper-3.5.5-bin.tar.gz
將zookeeper復(fù)制三份,分別命名為zookeeper-1,zookeeper-2,zookeeper-3 將zookeeper-1中的zoo.example.cfg文件復(fù)制一份改名為: zoo.cfg 修改config/zoo.cfg文件修改端口: clientPort=2181 修改數(shù)據(jù)目錄: dataDir=/ashura/zookeeper-1/datalog 增加以下配置: server.1=localhost.:2887:3887 server.2=localhost.:2888:3888 server.3=localhost.:2889:3889 admin.serverPort=8000
# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial
# synchronization phase can take
initLimit=10
# The number of ticks that can pass between
# sending a request and getting an acknowledgement
syncLimit=5
# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just
# example sakes.
dataDir=/ashura/zookeeper-1/datalog
# the port at which the clients will connect
clientPort=2181
# the maximum number of client connections.
# increase this if you need to handle more clients
#maxClientCnxns=60
#
# Be sure to read the maintenance section of the
# administrator guide before turning on autopurge.
#
# http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
#
# The number of snapshots to retain in dataDir
#autopurge.snapRetainCount=3
# Purge task interval in hours
# Set to "0" to disable auto purge feature
#autopurge.purgeInterval=1
server.1=localhost.:2887:3887
server.2=localhost.:2888:3888
server.3=localhost.:2889:3889
將這份zoo.cfg分別復(fù)制到zookeeper-2,zookeeper-3的config目錄下.修改zookeeper2的zoo.cfg中clientPort=2183,dataDir=/ashura/zookeeper-2/datalog 修改zookeeper3的zoo.cfg中clientPort=2184,dataDir=/ashura/zookeeper-3/datalog 創(chuàng)建剛才在配置文件中寫的目錄 mkdir /ashura/zookeeper-1/datalog
mkdir /ashura/zookeeper-2/datalog
mkdir /ashura/zookeeper-3/datalog
分別{-- 在datalog目錄下 --}執(zhí)行以下命令,寫入myid。 echo "1" > /ashura/zookeeper-1/datalog/myid
echo "2" > /ashura/zookeeper-2/datalog/myid
echo "3" > /ashura/zookeeper-3/datalog/myid
/ashura/zookeeper-1/bin/zkServer.sh start
/ashura/zookeeper-2/bin/zkServer.sh start
/ashura/zookeeper-3/bin/zkServer.sh start
使用如下命令判斷是否啟動成功
/ashura/zookeeper-1/bin/zkServer.sh status
/ashura/zookeeper-2/bin/zkServer.sh status
/ashura/zookeeper-3/bin/zkServer.sh status
搭建Kafka集群 下載 kafka官網(wǎng) kafka_2.11-2.2.1.tgz
開始安裝 tar -zxvf kafka_2.11-2.2.1.tgz
將config/server.properties復(fù)制三份，分別命名為server1.properties,server2.properties,server3.properties。 修改server1.propertiesbroker.id=1 listeners=PLAINTEXT://:9092 advertised.listeners=PLAINTEXT://10.1.14.159:9092(其中10.1.14.159是我本機(jī)的ip) log.dirs=/ashura/kafka_2.11-2.2.1/logs/kafka1-logs zookeeper.connect=localhost:2181,localhost:2182,localhost:2183 同理,修改server2.propertiesbroker.id=2 listeners=PLAINTEXT://:9093 advertised.listeners=PLAINTEXT://10.1.14.159:9093(其中10.1.14.159是我本機(jī)的ip) log.dirs=/ashura/kafka_2.11-2.2.1/logs/kafka2-logs zookeeper.connect=localhost:2181,localhost:2182,localhost:2183 同理,修改server3.propertiesbroker.id=3 listeners=PLAINTEXT://:9094 advertised.listeners=PLAINTEXT://10.1.14.159:9094(其中10.1.14.159是我本機(jī)的ip) log.dirs=/ashura/kafka_2.11-2.2.1/logs/kafka3-logs zookeeper.connect=localhost:2181,localhost:2182,localhost:2183 然后執(zhí)行以下命令 nohup /ashura/kafka_2.11-2.2.1/bin/kafka-server-start.sh /ashura/kafka_2.11-2.2.1/config/server3.properties > /ashura/kafka_2.11-2.2.1/logs/kafka3-logs/startup.log 2>&1 &
nohup /ashura/kafka_2.11-2.2.1/bin/kafka-server-start.sh /ashura/kafka_2.11-2.2.1/config/server2.properties > /ashura/kafka_2.11-2.2.1/logs/kafka2-logs/startup.log 2>&1 &
nohup /ashura/kafka_2.11-2.2.1/bin/kafka-server-start.sh /ashura/kafka_2.11-2.2.1/config/server1.properties > /ashura/kafka_2.11-2.2.1/logs/kafka1-logs/startup.log 2>&1 &
通過startup.log,或者同級目錄下的server.log查看是否有報錯即可。 檢測創(chuàng)建主題:./kafka-topics.sh --bootstrap-server 127.0.0.1:9092 --create --topic fxb_test1 --replication-factor 3 --partitions 3 啟動消費者: ./kafka-console-producer.sh --broker-list 10.1.14.159:9092 --topic fxb_test1 新開窗口個,啟動生產(chǎn)者: kafka-console-producer.sh --bootstrap-server 127.0.0.1 --create --topic fxb_test1 在生產(chǎn)者窗口中輸入消息，查看消費者的窗口，是否有消息產(chǎn)生。 參考文檔 Java DOC
使用java client進(jìn)行測試 <dependencies><dependency><groupId>org.apache.kafka</groupId><artifactId>kafka-clients</artifactId><version>2.3.0</version></dependency>
</dependencies>
package com.fxb.learn.kafka.producer;import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;import java.util.Properties;/**** 生產(chǎn)者*/
public class ProducerDemo {public static void main(String[] args) {Properties props = new Properties();props.put("bootstrap.servers", "10.127.138.75:9092");props.put("acks", "all");props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
// props.put(ProducerConfig.Re)Producer<String, String> producer = new KafkaProducer<>(props);for (int i = 0; i < 10; i++) {producer.send(new ProducerRecord<String, String>("fxb_test1", Integer.toString(i), Integer.toString(i)));System.out.println("has sent msg [" + i + "]");}producer.close();}
}
package com.fxb.learn.kafka.consumer;import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;import java.time.Duration;
import java.util.Arrays;
import java.util.Properties;/**** 消費者*/
public class ConsumerDemo {public static void main(String[] args) {Properties props = new Properties();props.setProperty("bootstrap.servers", "10.127.138.75:9092");props.setProperty("group.id", "test");props.setProperty("enable.auto.commit", "true");props.setProperty("auto.commit.interval.ms", "1000");props.setProperty("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");props.setProperty("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);consumer.subscribe(Arrays.asList("fxb_test1", "bar"));while (true) {ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(100));for (ConsumerRecord<String, String> record : records)System.out.printf("offset = %d, key = %s, value = %s%n", record.offset(), record.key(), record.value());}}
}
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