【SparkStreaming学习之四】 SparkStreaming+kafka管理消费offset

时间：2024-03-06 22:01:30

环境
　　虚拟机：VMware 10
　　Linux版本：CentOS-6.5-x86_64
　　客户端：Xshell4
　　FTP：Xftp4
　　jdk1.8
　　scala-2.10.4(依赖jdk1.8)
　　spark-1.6

从kafka消费消息的偏移量存储到ZK 或者 mysql 或者 hbase，进行主动管理。

以下举例通过ZK进行存储管理：

package manageoffset;

import java.util.Map;

import kafka.common.TopicAndPartition;
import manageoffset.getOffset.GetTopicOffsetFromKafkaBroker;
import manageoffset.getOffset.GetTopicOffsetFromZookeeper;

import org.apache.log4j.Logger;
import org.apache.spark.streaming.api.java.JavaStreamingContext;

public class UseZookeeperManageOffset {
    /**
     * 使用log4j打印日志，“UseZookeeper.class” 设置日志的产生类
     */
    static final Logger logger = Logger.getLogger(UseZookeeperManageOffset.class);
    
    
    public static void main(String[] args) {
        /**
         * 加载log4j的配置文件，方便打印日志
         */
        ProjectUtil.LoadLogConfig();
        logger.info("project is starting...");
        
        /**
         * 从kafka集群中得到topic每个分区中生产消息的最大偏移量位置
         */
        Map<TopicAndPartition, Long> topicOffsets = GetTopicOffsetFromKafkaBroker.getTopicOffsets("node1:9092,node2:9092,node3:9092", "mytopic");
        
        /**
         * 从zookeeper中获取当前topic每个分区 consumer 消费的offset位置
         */
        Map<TopicAndPartition, Long> consumerOffsets = 
                GetTopicOffsetFromZookeeper.getConsumerOffsets("node3:2181,node4:2181,node5:2181","zhy","mytopic");
        
        /**
         * 合并以上得到的两个offset ，
         *     思路是：
         *         如果zookeeper中读取到consumer的消费者偏移量，那么就zookeeper中当前的offset为准。
         *         否则，如果在zookeeper中读取不到当前消费者组消费当前topic的offset，就是当前消费者组第一次消费当前的topic，
         *             offset设置为topic中消息的最大位置。
         */
        if(null!=consumerOffsets && consumerOffsets.size()>0){
            topicOffsets.putAll(consumerOffsets);
        }
        /**
         * 如果将下面的代码解开，是将topicOffset 中当前topic对应的每个partition中消费的消息设置为0，就是从头开始。
         */
//        for(Map.Entry<TopicAndPartition, Long> item:topicOffsets.entrySet()){
//          item.setValue(0l);
//        }
        
        /**
         * 构建SparkStreaming程序，从当前的offset消费消息
         */
        JavaStreamingContext jsc = SparkStreamingDirect.getStreamingContext(topicOffsets,"zhy");
        
        jsc.start();
        jsc.awaitTermination();
        jsc.close();
    }
}
package manageoffset.getOffset;

import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;

import com.google.common.collect.ImmutableMap;

import kafka.api.PartitionOffsetRequestInfo;
import kafka.cluster.Broker;
import kafka.common.TopicAndPartition;
import kafka.javaapi.OffsetRequest;
import kafka.javaapi.OffsetResponse;
import kafka.javaapi.PartitionMetadata;
import kafka.javaapi.TopicMetadata;
import kafka.javaapi.TopicMetadataRequest;
import kafka.javaapi.TopicMetadataResponse;
import kafka.javaapi.consumer.SimpleConsumer;

/**
 * 测试之前需要启动kafka
 * @author root
 *
 */
public class GetTopicOffsetFromKafkaBroker 
{
    public static void main(String[] args) 
    {
        
        Map<TopicAndPartition, Long> topicOffsets = getTopicOffsets("node1:9092,node2:9092,node3:9092", "mytopic");
        Set<Entry<TopicAndPartition, Long>> entrySet = topicOffsets.entrySet();
        for(Entry<TopicAndPartition, Long> entry : entrySet) {
            TopicAndPartition topicAndPartition = entry.getKey();
            Long offset = entry.getValue();
            String topic = topicAndPartition.topic();
            int partition = topicAndPartition.partition();
            System.out.println("topic = "+topic+",partition = "+partition+",offset = "+offset);
        }
    
    }
    
    /**
     * 从kafka集群中得到当前topic，生产者在每个分区中生产消息的偏移量位置
     * @param KafkaBrokerServer
     * @param topic
     * @return
     */
    public static Map<TopicAndPartition,Long> getTopicOffsets(String KafkaBrokerServer, String topic){
        Map<TopicAndPartition,Long> retVals = new HashMap<TopicAndPartition,Long>();
        //遍历每个broker
        for(String broker:KafkaBrokerServer.split(",")){
            //使用SimpleConsumer访问broker
            SimpleConsumer simpleConsumer = new SimpleConsumer(broker.split(":")[0],Integer.valueOf(broker.split(":")[1]), 64*10000,1024,"consumer"); 
            TopicMetadataRequest topicMetadataRequest = new TopicMetadataRequest(Arrays.asList(topic));
            TopicMetadataResponse topicMetadataResponse = simpleConsumer.send(topicMetadataRequest);
            //遍历获取的元数据
            for (TopicMetadata metadata : topicMetadataResponse.topicsMetadata()) {
                //遍历每个partition上的元数据
                for (PartitionMetadata part : metadata.partitionsMetadata()) {
                    Broker leader = part.leader();
                    if (leader != null) 
                    { 
                        TopicAndPartition topicAndPartition = new TopicAndPartition(topic, part.partitionId()); 
                        PartitionOffsetRequestInfo partitionOffsetRequestInfo = new PartitionOffsetRequestInfo(kafka.api.OffsetRequest.LatestTime(), 10000); 
                        OffsetRequest offsetRequest = new OffsetRequest(ImmutableMap.of(topicAndPartition, partitionOffsetRequestInfo), kafka.api.OffsetRequest.CurrentVersion(), simpleConsumer.clientId()); 
                        OffsetResponse offsetResponse = simpleConsumer.getOffsetsBefore(offsetRequest); 
                        if (!offsetResponse.hasError()) { 
                            long[] offsets = offsetResponse.offsets(topic, part.partitionId()); 
                            retVals.put(topicAndPartition, offsets[0]);
                        }
                    }
                }
            }
            simpleConsumer.close();
        }
        return retVals;
    }
}

 

package manageoffset.getOffset;

import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;

import org.apache.curator.framework.CuratorFramework;
import org.apache.curator.framework.CuratorFrameworkFactory;
import org.apache.curator.retry.RetryUntilElapsed;

import com.fasterxml.jackson.databind.ObjectMapper;

import kafka.common.TopicAndPartition;

public class GetTopicOffsetFromZookeeper {
    
    /**
     * 从zookeeper中获取当前topic每个分区 consumer 消费的offset位置
     * @param zkServers
     * @param groupID
     * @param topic
     * @return
     */
    public static Map<TopicAndPartition,Long> getConsumerOffsets(String zkServers,String groupID, String topic) { 
        Map<TopicAndPartition,Long> retVals = new HashMap<TopicAndPartition,Long>();
        ObjectMapper objectMapper = new ObjectMapper();
        CuratorFramework  curatorFramework 
                = CuratorFrameworkFactory
                .builder()
                .connectString(zkServers)
                .connectionTimeoutMs(1000)
                .sessionTimeoutMs(10000)
                .retryPolicy(new RetryUntilElapsed(1000, 1000))
                .build();
        
        curatorFramework.start();
        
        try
        {
            String nodePath = "/consumers/"+groupID+"/offsets/" + topic;
            if(curatorFramework.checkExists().forPath(nodePath)!=null)
            {
                List<String> partitions = curatorFramework.getChildren().forPath(nodePath);
                for(String partiton:partitions)
                {
                    int partitionL = Integer.valueOf(partiton);
                    Long offset = objectMapper.readValue(curatorFramework.getData().forPath(nodePath+"/"+partiton),Long.class);
                    TopicAndPartition topicAndPartition = new TopicAndPartition(topic,partitionL);
                    retVals.put(topicAndPartition, offset);
                }
            }
        }
        catch(Exception e)
        {
            e.printStackTrace();
        }
        curatorFramework.close();
        return retVals;
    } 
    
    
    public static void main(String[] args) {
        Map<TopicAndPartition, Long> consumerOffsets = getConsumerOffsets("node3:2181,node4:2181,node5:2181","zhy","mytopic");
        Set<Entry<TopicAndPartition, Long>> entrySet = consumerOffsets.entrySet();
        for(Entry<TopicAndPartition, Long> entry : entrySet) {
            TopicAndPartition topicAndPartition = entry.getKey();
            String topic = topicAndPartition.topic();
            int partition = topicAndPartition.partition();
            Long offset = entry.getValue();
            System.out.println("topic = "+topic+",partition = "+partition+",offset = "+offset);
        }
    }
}

 

package manageoffset;

import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.atomic.AtomicReference;

import kafka.common.TopicAndPartition;
import kafka.message.MessageAndMetadata;
import kafka.serializer.StringDecoder;

import org.apache.curator.framework.CuratorFramework;
import org.apache.curator.framework.CuratorFrameworkFactory;
import org.apache.curator.retry.RetryUntilElapsed;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.api.java.function.VoidFunction;
import org.apache.spark.streaming.Durations;
import org.apache.spark.streaming.api.java.JavaDStream;
import org.apache.spark.streaming.api.java.JavaInputDStream;
import org.apache.spark.streaming.api.java.JavaStreamingContext;
import org.apache.spark.streaming.kafka.HasOffsetRanges;
import org.apache.spark.streaming.kafka.KafkaUtils;
import org.apache.spark.streaming.kafka.OffsetRange;

import com.fasterxml.jackson.databind.ObjectMapper;

public class SparkStreamingDirect 
{
    
    /**
     * 根据传入的offset来读取kafka消息
     * @param topicOffsets
     * @param groupID
     * @return
     */
    public static JavaStreamingContext getStreamingContext(Map<TopicAndPartition, Long> topicOffsets,String groupID){
        SparkConf conf = new SparkConf().setMaster("local[*]").setAppName("SparkStreamingOnKafkaDirect");
        conf.set("spark.streaming.kafka.maxRatePerPartition", "10");
        JavaStreamingContext jsc = new JavaStreamingContext(conf, Durations.seconds(5));
        jsc.checkpoint("/checkpoint");
        Map<String, String> kafkaParams = new HashMap<String, String>();
        kafkaParams.put("metadata.broker.list","node1:9092,node2:9092,node3:9092");
        kafkaParams.put("group.id","MyFirstConsumerGroup");

        for(Map.Entry<TopicAndPartition,Long> entry:topicOffsets.entrySet()){
            System.out.println(entry.getKey().topic()+"\t"+entry.getKey().partition()+"\t"+entry.getValue());
        }

        JavaInputDStream<String> message = KafkaUtils.createDirectStream(
            jsc,
            String.class,
            String.class, 
            StringDecoder.class,
            StringDecoder.class, 
            String.class,
            kafkaParams,
            topicOffsets, 
            new Function<MessageAndMetadata<String,String>,String>() {
                private static final long serialVersionUID = 1L;
    
                public String call(MessageAndMetadata<String, String> v1)throws Exception {
                    return v1.message();
                }
            }
        );

        final AtomicReference<OffsetRange[]> offsetRanges = new AtomicReference<>();

        JavaDStream<String> lines = message.transform(new Function<JavaRDD<String>, JavaRDD<String>>() {
            private static final long serialVersionUID = 1L;

            @Override
            public JavaRDD<String> call(JavaRDD<String> rdd) throws Exception {
              OffsetRange[] offsets = ((HasOffsetRanges) rdd.rdd()).offsetRanges();
              offsetRanges.set(offsets);
              return rdd;
            }
          }
        );

        message.foreachRDD(new VoidFunction<JavaRDD<String>>(){
            private static final long serialVersionUID = 1L;

            @Override
            public void call(JavaRDD<String> t) throws Exception {

                ObjectMapper objectMapper = new ObjectMapper();

                CuratorFramework  curatorFramework 
                        = CuratorFrameworkFactory
                        .builder()
                        .connectString("node3:2181,node4:2181,node5:2181")
                        .connectionTimeoutMs(1000)
                        .sessionTimeoutMs(10000)
                        .retryPolicy(new RetryUntilElapsed(1000, 1000))
                        .build();

                curatorFramework.start();

                for (OffsetRange offsetRange : offsetRanges.get()) {
                    long fromOffset = offsetRange.fromOffset();//开始offset
                    long untilOffset = offsetRange.untilOffset();//结束offset
                    final byte[] offsetBytes = objectMapper.writeValueAsBytes(offsetRange.untilOffset());
                    String nodePath = "/consumers/"+groupID+"/offsets/" + offsetRange.topic()+ "/" + offsetRange.partition();
                    System.out.println("nodePath = "+nodePath);
                    System.out.println("fromOffset = "+fromOffset+",untilOffset="+untilOffset);
                    
                    //ZK记录分区主题的消费偏移量
                    if(curatorFramework.checkExists().forPath(nodePath) != null)
                    {
                        curatorFramework.setData().forPath(nodePath,offsetBytes);
                    }
                    else
                    {
                        curatorFramework.create().creatingParentsIfNeeded().forPath(nodePath, offsetBytes);
                    }
                }
                curatorFramework.close();
            }

        });

        lines.print();

        return jsc;
    }
}

 

package manageoffset;

import java.io.IOException;
import java.io.InputStream;
import java.util.Properties;

import org.apache.log4j.Logger;
import org.apache.log4j.PropertyConfigurator;

public class ProjectUtil {
    /**
     * 使用log4j配置打印日志
     */
    static final Logger logger = Logger.getLogger(UseZookeeperManageOffset.class);
    /**
     * 加载配置的log4j.properties,默认读取的路径在src下，如果将log4j.properties放在别的路径中要手动加载
     */
    public static void LoadLogConfig() {
        PropertyConfigurator.configure("d:/eclipse4.7WS/SparkStreaming_Kafka_Manage/resource/log4j.properties"); 
    }
    
    /**
     * 加载配置文件
     * 需要将放config.properties的目录设置成资源目录
     * @return
     */
    public static Properties loadProperties() {

        Properties props = new Properties();
        InputStream inputStream = Thread.currentThread().getContextClassLoader().getResourceAsStream("config.properties");
        if(null != inputStream) {
            try {
                props.load(inputStream);
            } catch (IOException e) {
                logger.error(String.format("Config.properties file not found in the classpath"));
            }
        }
        return props;

    }
    
    public static void main(String[] args) {
        Properties props = loadProperties();
        String value = props.getProperty("hello");
        System.out.println(value);
    }
}

 

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