package com.dsp.es.collect.module.kafka;
import com.dsp.common.jndi.ServiceConnect;
import com.dsp.es.collect.module.CommonTask;
import com.dsp.es.collect.schedule.CollectTaskEnum;
import com.dsp.es.collect.schedule.client.KafkaClient;
import com.google.common.collect.Lists;
import kafka.javaapi.*;
import kafka.api.PartitionOffsetRequestInfo;
import kafka.common.TopicAndPartition;
import kafka.javaapi.consumer.SimpleConsumer;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.PartitionInfo;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.serialization.ByteArrayDeserializer;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.text.DateFormat;
import java.text.SimpleDateFormat;
import java.util.*;
/**
* Created by bianqh on 2019/5/6.
*/
public class PartitionLogSize {
public void collect() throws Exception {
//链接客户端
Properties properties = new Properties();
properties.put("bootstrap.servers", ServiceConnect.Kafka.BOOTSTRAP_SERVERS);
Kafka获得topicPartition的最早,最新offset的时间,以及存储量
最新推荐文章于 2025-02-09 12:19:38 发布