使用JavaApi获取Kafka的topic、topic的分区数量与副本数量

目录

1、代码

2、结果

1、代码

package com.zsh.kafkatest.topic;
import com.zsh.kafkatest.connect.KafkaConnection;
import org.apache.kafka.clients.admin.*;
import org.apache.kafka.common.KafkaFuture;
import org.apache.kafka.common.TopicPartitionInfo;
import java.util.*;
import java.util.concurrent.ExecutionException;
/**
 * @Author ZhaoShuHao
 * @Date 2023/7/21 16:58
 */
public class GetTopicAboutDatasource {
    public static void main(String[] args) {
        String kafka = "192.168.140.65:9092";
        String[] kafkas = kafka.split(";");
        for(int i=0;i> tVos = new ArrayList<>();
        List list = new ArrayList<>();
        AdminClient adminiClient = KafkaConnection.kafkaTestConnection(kafka);
        ListTopicsOptions options = new ListTopicsOptions();
        options.listInternal(true);
        ListTopicsResult topicsResult = adminiClient.listTopics(options);
        try {
            Set topicNames = topicsResult.names().get();
            Iterator it = topicNames.iterator();
            while (it.hasNext()){
                Map map = new HashMap<>();
                String topicName = it.next().toString();
                Map topicInfo = getTopicInfo(kafka,topicName);
                map.put("tableName",topicName);
                map.put("issame","0");
                map.put("Partitions", String.valueOf(topicInfo.get("Partitions")));
                map.put("PartitionSize", String.valueOf(topicInfo.get("PartitionSize")));
                map.put("ReplicationFactor", String.valueOf(topicInfo.get("ReplicationFactor")));
                tVos.add(map);
            }
        } catch (Exception e) {
            System.out.println("获取topic失败");
        }finally {
            KafkaConnection.close(adminiClient);
        }
        System.out.println("所有信息查询成功tVos："+tVos);
        tVos.stream().forEach(maptopic -> {
            System.out.println("————————————————————————————————————");
            System.out.println("topic主题名称："+maptopic.get("tableName"));
            maptopic.get("issame");
            maptopic.get("Partitions");
            System.out.println("topic分区信息："+maptopic.get("Partitions"));
            maptopic.get("PartitionSize");
            System.out.println("topic分区数量："+maptopic.get("PartitionSize"));
            maptopic.get("ReplicationFactor");
            System.out.println("topic副本数量："+maptopic.get("ReplicationFactor"));
            System.out.println("————————————————————————————————————");
        });
    }
    //获取topic的详细信息
    public static Map getTopicInfo(String ipAndPort,String topic){
        Map map = new HashMap<>();
        Properties props = new Properties();
        props.put(AdminClientConfig.BOOTSTRAP_SERVERS_CONFIG, ipAndPort);
        AdminClient adminClient = AdminClient.create(props);
        String topicName = topic;
        DescribeTopicsOptions describeTopicsOptions = new DescribeTopicsOptions().timeoutMs(5000);
        DescribeTopicsResult describeTopicsResult = adminClient.describeTopics(Arrays.asList(topicName), describeTopicsOptions);
        KafkaFuture topicDescriptionFuture = describeTopicsResult.values().get(topicName);
        try {
            TopicDescription topicDescription = topicDescriptionFuture.get();
            List partitions = topicDescription.partitions();
            int replicationFactor = partitions.get(0).replicas().size();
            map.put("Partitions", partitions);
            map.put("PartitionSize", partitions.size());
            map.put("ReplicationFactor", replicationFactor);
        } catch (InterruptedException | ExecutionException e) {
            e.printStackTrace();
        }
        return map;
    }
}

2、结果