kafka重裝及代碼實例連接測試
1.重裝Kaffka前確認環境
1.1確認Zookeeper是否清除乾淨
以下是安裝前和安裝後的zkCli.sh多出的信息
1.2logs是否刪除
默認kafka的logs.dir配置爲:/tmp/kafka-logs
1.3環境配置
需要安裝jdk,Zookeeper
2.重裝kafka
2.1重裝kafka2.11_0.11.0.0
tar -zxvf kafka壓縮包 -C 目標目錄
vim config/server.properties
# 修改broker.id:每臺機器唯一
broker.id=2
# 可指定端口號和主機名
port=9092
host.name=test61
# 需手動創建logs:mkdir logs
log.dirs=/opt/module/kafka_2.11/logs
# Zookeeper我配了5臺,kafka也是在同機器下5臺
zookeeper.connect=test55:2181,test59:2181,test61:2181,test63:2181,test64:2181
# 分發到所有目標機器後,修改config/server.properties下的broker.id
scp -r /opt/module/kafka_2.11 test55:/opt/module
2.2啓動機器
# 每臺機器下單點啓動
kafka-server-start.sh -daemon /opt/module/kafka_2.11/config/server.properties
# jps查看是否有kafka進程
3.console測試
# 1.創建主題
kafka-topics.sh --zookeeper test55:2181 --create --topic test --partitions 2 --replication-factor 2
# 2.創建Producer
kafka-console-producer.sh --broker-list test55:9092 --topic test
# 創建Consumer
kafka-console-consumer.sh --bootstrap-server cimc59:9092 --topic test --from-beginning
# 或
kafka-console-consumer.sh --zookeeper cimc59:2181 --topic test --from-beginning
結果:Producer生產:hello world Consumer消費:hello world
4.實例Producer測試
import java.util.ArrayList;
import java.util.List;
import java.util.Properties;
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;
public class CustomProducer {
public static void main(String[] args) throws Exception {
// 1 設置配置信息
Properties props = new Properties();
props.put("bootstrap.servers", "test59:9092");//注意,我的windows配置了hosts
props.put("acks", "all");
props.put("retries", 0);
props.put("batch.size", 16384);
props.put("linger.ms", 1);
props.put("buffer.memory", 33554432);
props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
// 2 構建攔截鏈(這裏用不着)
// List<String> interceptors = new ArrayList<>();
// interceptors.add("com.cimc.kafka.interceptor.TimeInterceptor"); interceptors.add("com.cimc.kafka.interceptor.CounterInterceptor");
// props.put(ProducerConfig.INTERCEPTOR_CLASSES_CONFIG, interceptors);
String topic = "test";
Producer<String, String> producer = new KafkaProducer<>(props);
// 3 發送消息
for (int i = 0; i < 10; i++) {
ProducerRecord<String, String> record = new ProducerRecord<>(topic, "message" + i);
producer.send(record);
}
// 4 一定要關閉producer,這樣纔會調用interceptor的close方法
producer.close();
}
}
運行後,可以在bash上看到kafka-console-consumer.sh消費到了數據。
有什麼問題評論區討論