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storm trident实战 trident state

程序员文章站 2022-07-02 08:07:55
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一、认识storm trident
    trident可以理解为storm批处理的高级抽象,提供了分组、分区、聚合、函数等操作,提供一致性和恰好一次处理的语义。
    1)元祖被作为batch处理
    2)每个batch的元祖都被指定唯一的一个事物id,如果因为处理失败导致batch重发,也和保证和重发前一样的事物id
    3)数据更新操作严格有序,比如batch1必须在batch2之前被成功处理,且如果batch1失败了,后面的处理也会失败。
    假如: batch1处理1--20
          batch2处理21--40
          batch1处理失败，那么batch2也会失败
    虽然数据更新操作严格有序，但是数据处理阶段也可以并行的,只是最后的持久化操作必须有序。
  1.1 trident state
     trident的状态具有仅仅处理一次,持续聚合的语义,使用trident来实现恰好一次的语义不需要开发人员去处理事务相关的工作,因为trident state已经帮我们封装好了,只需要编写类似于如下的代码：

  topology.newStream("sentencestream", spout)
                .each(new Fields("sentence"), new Split(), new Fields("word"))
                .groupBy(new Fields("word"))
                .persistentAggregate(new MyHbaseState.HbaseFactory(options), new Count(), new Fields("count"))
                .parallelismHint(3);

   所有处理事务逻辑都在MyHbaseState.HbaseFactory中处理了(这个是我自己定义的,trident支持在内存里面处理,类似于MemachedState.opaque)。
   trident提供了一个StateFactory用来创建State对象的实例,行如:

   public final class XFactory implements StateFactory{
       public State makeState(Map conf,int partitonIndex,int numPartitions){
            return new State();
       }
  }

  1.2 persistentAggregate
     persistentAggregate是trident中用来更新来源的状态,如果前面是一个分好组的流,trident希望你提供的状态实现MapState接口,其中key是分组的字段,
  而聚合结果是状态的值。
  1.3 实现MapStates
     trident中实现MapState非常简单,只需要为这个类提供一个IBackingMap的接口实现接口。
二、实战

    首先搭建好zk,storm,hadoop,hbase的分布式环境

    master：
storm trident实战 trident state 博客分类： storm stormtridentstatehbase 
  slave1：
storm trident实战 trident state 博客分类： storm stormtridentstatehbase 

  slave2：
storm trident实战 trident state 博客分类： storm stormtridentstatehbase 
    main方法:

     public static void main(String[] args) throws AlreadyAliveException, InvalidTopologyException, AuthorizationException {
        TridentTopology topology = new TridentTopology();
        FixedBatchSpout spout = new FixedBatchSpout(new Fields("sentence"), 3,
                new Values("tanjie is a good man"), new Values(
                        "what is your name"), new Values("how old are you"),
                new Values("my name is tanjie"), new Values("i am 18"));
        spout.setCycle(false);
        tridentStreamToHbase(topology,spout);
        Config config = new Config();
        config.setDebug(false);
        StormSubmitter.submitTopologyWithProgressBar("word_count_trident_state_HbaseState", config, topology.build());
    }

   tridentStreamToHbase方法:

  private static TridentState tridentStreamToHbase(TridentTopology topology,
            FixedBatchSpout spout) {
        MyHbaseState.Options options = new MyHbaseState.Options();
        options.setTableName("storm_trident_state");
        options.setColumFamily("colum1");
        options.setQualifier("q1");
        /**
         * 根据数据源拆分单词后,然后分区操作,在每个分区上又进行分组(hash算法),然后在每个分组上进行聚合
         * 所以这里可能有多个分区,每个分区有多个分组,然后在多个分组上进行聚合
         * 用来进行group的字段会以key的形式存在于State当中，聚合后的结果会以value的形式存储在State当中
         */
        return topology.newStream("sentencestream", spout)
                .each(new Fields("sentence"), new Split(), new Fields("word"))
                .groupBy(new Fields("word"))
                .persistentAggregate(new MyHbaseState.HbaseFactory(options), new Count(), new Fields("count"))
                .parallelismHint(3);
    }

    MyHbaseState实现：

package com.storm.trident.state.hbase;

import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;

import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.client.Get;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Table;
import org.apache.storm.task.IMetricsContext;
import org.apache.storm.trident.state.JSONNonTransactionalSerializer;
import org.apache.storm.trident.state.JSONOpaqueSerializer;
import org.apache.storm.trident.state.JSONTransactionalSerializer;
import org.apache.storm.trident.state.Serializer;
import org.apache.storm.trident.state.State;
import org.apache.storm.trident.state.StateFactory;
import org.apache.storm.trident.state.StateType;
import org.apache.storm.trident.state.map.IBackingMap;
import org.apache.storm.trident.state.map.MapState;
import org.apache.storm.trident.state.map.OpaqueMap;
import org.apache.storm.trident.state.map.SnapshottableMap;
import org.apache.storm.tuple.Values;

import com.google.common.collect.Maps;

@SuppressWarnings({ "unchecked", "rawtypes" })
public class MyHbaseState<T> implements IBackingMap<T> {

    private static final Map<StateType, Serializer> DEFAULT_SERIALZERS = Maps
            .newHashMap();

    private int partitionNum;

    private Options<T> options;

    private Serializer<T> serializer;

    private Connection connection;

    private Table table;

    static {
        DEFAULT_SERIALZERS.put(StateType.NON_TRANSACTIONAL,
                new JSONNonTransactionalSerializer());
        DEFAULT_SERIALZERS.put(StateType.TRANSACTIONAL,
                new JSONTransactionalSerializer());
        DEFAULT_SERIALZERS.put(StateType.OPAQUE, new JSONOpaqueSerializer());
    }

    public MyHbaseState(final Options<T> options, Map conf, int partitionNum) {
        this.options = options;
        this.serializer = options.serializer;
        this.partitionNum = partitionNum;
        try {
            connection = ConnectionFactory.createConnection(HBaseConfiguration
                    .create());
            table = connection.getTable(TableName.valueOf(options.tableName));
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    public static class Options<T> implements Serializable {

        /**
         *
         */
        private static final long serialVersionUID = 1L;

        public Serializer<T> serializer = null;

        public String globalkey = "$HBASE_STATE_GLOBAL$";

        /**
         * 表名
         */
        public String tableName;

        /**
         * 列族
         */
        public String columFamily;

        /**
         *
         */
        public String qualifier;

        public String getTableName() {
            return tableName;
        }

        public void setTableName(String tableName) {
            this.tableName = tableName;
        }

        public String getColumFamily() {
            return columFamily;
        }

        public void setColumFamily(String columFamily) {
            this.columFamily = columFamily;
        }

        public String getQualifier() {
            return qualifier;
        }

        public void setQualifier(String qualifier) {
            this.qualifier = qualifier;
        }

    }

    protected static class HbaseFactory<T> implements StateFactory {

        private static final long serialVersionUID = 1L;
        private Options<T> options;

        public HbaseFactory(Options<T> options) {
            this.options = options;
            if (this.options.serializer == null) {
                this.options.serializer = DEFAULT_SERIALZERS
                        .get(StateType.OPAQUE);
            }
        }

        @Override
        public State makeState(Map conf, IMetricsContext metrics,
                int partitionIndex, int numPartitions) {
            System.out.println("partitionIndex:" + partitionIndex
                    + ",numPartitions:" + numPartitions);
            IBackingMap state = new MyHbaseState(options, conf, partitionIndex);
            MapState mapState = OpaqueMap.build(state);
            return new SnapshottableMap(mapState, new Values(options.globalkey));
        }

    }

    @Override
    public void multiPut(List<List<Object>> keys, List<T> values) {
        List<Put> puts = new ArrayList<Put>(keys.size());
        for (int i = 0; i < keys.size(); i++) {
            Put put = new Put(toRowKey(keys.get(i)));
            T val = values.get(i);
            System.out.println("partitionIndex: " + this.partitionNum
                    + ",key.get(i):" + keys.get(i) + "value值:" + val);
            put.addColumn(this.options.columFamily.getBytes(),
                    this.options.qualifier.getBytes(),
                    this.options.serializer.serialize(val));
            puts.add(put);
        }
        try {
            this.table.put(puts);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    @Override
    public List<T> multiGet(List<List<Object>> keys) {
        List<Get> gets = new ArrayList<Get>();
        for (final List<Object> key : keys) {
            // LOG.info("Partition: {}, GET: {}", this.partitionNum, key);
            Get get = new Get(toRowKey(key));
            get.addColumn(this.options.columFamily.getBytes(),
                    this.options.qualifier.getBytes());
            gets.add(get);
        }
        List<T> retval = new ArrayList<T>();
        try {
            // 批量获取所有rowKey的数据
            Result[] results = this.table.get(gets);
            for (final Result result : results) {
                byte[] value = result.getValue(
                        this.options.columFamily.getBytes(),
                        this.options.qualifier.getBytes());
                if (value != null) {
                    retval.add(this.serializer.deserialize(value));
                } else {
                    retval.add(null);
                }
            }
        } catch (IOException e) {
            e.printStackTrace();
        }
        return retval;
    }

    private byte[] toRowKey(List<Object> keys) {
        ByteArrayOutputStream bos = new ByteArrayOutputStream();
        try {
            for (Object key : keys) {
                bos.write(String.valueOf(key).getBytes());
            }
            bos.close();
        } catch (IOException e) {
            throw new RuntimeException("IOException creating HBase row key.", e);
        }
        return bos.toByteArray();
    }

}

   运行结果：

   查看supervisor日志：

2016-12-23 11:34:25.576 STDIO [INFO] partitionIndex: 0,key.get(i):[good]value值:org.apache.storm.trident.state.OpaqueValue@6498fd6a[currTxid=1,prev=<null>,curr=1]
2016-12-23 11:34:25.582 STDIO [INFO] partitionIndex: 1,key.get(i):[name]value值:org.apache.storm.trident.state.OpaqueValue@81e227f[currTxid=1,prev=<null>,curr=1]
2016-12-23 11:34:25.582 STDIO [INFO] partitionIndex: 1,key.get(i):[are]value值:org.apache.storm.trident.state.OpaqueValue@726ac402[currTxid=1,prev=<null>,curr=1]
2016-12-23 11:34:25.585 STDIO [INFO] partitionIndex: 2,key.get(i):[what]value值:org.apache.storm.trident.state.OpaqueValue@2667735e[currTxid=1,prev=<null>,curr=1]
2016-12-23 11:34:25.585 STDIO [INFO] partitionIndex: 2,key.get(i):[your]value值:org.apache.storm.trident.state.OpaqueValue@51c73404[currTxid=1,prev=<null>,curr=1]
2016-12-23 11:34:25.585 STDIO [INFO] partitionIndex: 2,key.get(i):[tanjie]value值:org.apache.storm.trident.state.OpaqueValue@6d281c8d[currTxid=1,prev=<null>,curr=1]
2016-12-23 11:34:25.585 STDIO [INFO] partitionIndex: 2,key.get(i):[old]value值:org.apache.storm.trident.state.OpaqueValue@646aa4f7[currTxid=1,prev=<null>,curr=1]
2016-12-23 11:34:25.586 STDIO [INFO] partitionIndex: 2,key.get(i):[is]value值:org.apache.storm.trident.state.OpaqueValue@157487a2[currTxid=1,prev=<null>,curr=2]
2016-12-23 11:34:25.586 STDIO [INFO] partitionIndex: 2,key.get(i):[a]value值:org.apache.storm.trident.state.OpaqueValue@1574a7af[currTxid=1,prev=<null>,curr=1]
2016-12-23 11:34:25.586 STDIO [INFO] partitionIndex: 2,key.get(i):[how]value值:org.apache.storm.trident.state.OpaqueValue@1dacdd2a[currTxid=1,prev=<null>,curr=1]
2016-12-23 11:34:25.587 STDIO [INFO] partitionIndex: 2,key.get(i):[you]value值:org.apache.storm.trident.state.OpaqueValue@3febff9e[currTxid=1,prev=<null>,curr=1]
2016-12-23 11:34:25.587 STDIO [INFO] partitionIndex: 2,key.get(i):[man]value值:org.apache.storm.trident.state.OpaqueValue@1edafedb[currTxid=1,prev=<null>,curr=1]
2016-12-23 11:34:25.812 STDIO [INFO] partitionIndex: 2,key.get(i):[tanjie]value值:org.apache.storm.trident.state.OpaqueValue@38a106df[currTxid=2,prev=1,curr=2]
2016-12-23 11:34:25.812 STDIO [INFO] partitionIndex: 2,key.get(i):[is]value值:org.apache.storm.trident.state.OpaqueValue@53ca3784[currTxid=2,prev=2,curr=3]
2016-12-23 11:34:25.815 STDIO [INFO] partitionIndex: 0,key.get(i):[am]value值:org.apache.storm.trident.state.OpaqueValue@5261a4c8[currTxid=2,prev=<null>,curr=1]
2016-12-23 11:34:25.815 STDIO [INFO] partitionIndex: 0,key.get(i):[my]value值:org.apache.storm.trident.state.OpaqueValue@88970b9[currTxid=2,prev=<null>,curr=1]
2016-12-23 11:34:25.826 STDIO [INFO] partitionIndex: 1,key.get(i):[i]value值:org.apache.storm.trident.state.OpaqueValue@78b27ff6[currTxid=2,prev=<null>,curr=1]
2016-12-23 11:34:25.827 STDIO [INFO] partitionIndex: 1,key.get(i):[name]value值:org.apache.storm.trident.state.OpaqueValue@eef2d62[currTxid=2,prev=1,curr=2]
2016-12-23 11:34:25.828 STDIO [INFO] partitionIndex: 1,key.get(i):[18]value值:org.apache.storm.trident.state.OpaqueValue@788c8496[currTxid=2,prev=<null>,curr=1]

   查看hbase表
storm trident实战 trident state 博客分类： storm stormtridentstatehbase 

  • storm trident实战 trident state 博客分类： storm stormtridentstatehbase 
  • 大小: 60.4 KB
  • storm trident实战 trident state 博客分类： storm stormtridentstatehbase 
  • 大小: 14.4 KB
  • storm trident实战 trident state 博客分类： storm stormtridentstatehbase 
  • 大小: 14.6 KB
  • storm trident实战 trident state 博客分类： storm stormtridentstatehbase 
  • 大小: 12.2 KB
相关标签： storm trident state hbase

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