flume 自己定义 hbase sink 类-白红宇

flume 自己定义 hbase sink 类

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发布时间：2019-06-27

本文共 6668 字，大约阅读时间需要 22 分钟。

參考（向原作者致敬）

http://ydt619.blog.51cto.com/316163/1230586

https://blogs.apache.org/flume/entry/streaming_data_into_apache_hbase

flume 1.5 的配置文件演示样例

#Name the  components on this agenta1.sources  = r1a1.sinks =  k1a1.channels  = c1#  Describe/configure the sourcea1.sources.r1.type  = spooldira1.sources.r1.spoolDir  = /home/scut/Downloads/testFlume# Describe  the sinka1.sinks.k1.type  = org.apache.flume.sink.hbase.AsyncHBaseSinka1.sinks.k1.table = Router #设置hbase的表名a1.sinks.k1.columnFamily = log #设置hbase中的columnFamilya1.sinks.k1.serializer.payloadColumn=serviceTime,browerOS,clientTime,screenHeight,screenWidth,url,userAgent,mobileDevice,gwId,mac # 设置hbase的columna1.sinks.k1.serializer = org.apache.flume.sink.hbase.BaimiAsyncHbaseEventSerializer # 设置serializer的处理类# Use a  channel which buffers events in memorya1.channels.c1.type  = memorya1.channels.c1.capacity  = 1000a1.channels.c1.transactionCapacity  = 100# Bind the  source and sink to the channela1.sources.r1.channels  = c1a1.sinks.k1.channel  = c1

重点说明几个属性

a1.sinks.k1.serializer.payloadColumn 中列出了全部的列名。

a1.sinks.k1.serializer设置了flume serializer的处理类。BaimiAsyncHbaseEventSerializer类中会获取payloadColumn的内容。将它以逗号分隔。从而得出全部的列名。

BaimiAsyncHbaseEventSerializer类

/* * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements.  See the NOTICE file * distributed with this work for additional information * regarding copyright ownership.  The ASF licenses this file * to you under the Apache License, Version 2.0 (the * "License"); you may not use this file except in compliance * with the License.  You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, * software distributed under the License is distributed on an * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY * KIND, either express or implied.  See the License for the * specific language governing permissions and limitations * under the License. */package org.apache.flume.sink.hbase;import java.util.ArrayList;import java.util.List;import org.apache.flume.Context;import org.apache.flume.Event;import org.apache.flume.FlumeException;import org.hbase.async.AtomicIncrementRequest;import org.hbase.async.PutRequest;import org.apache.flume.conf.ComponentConfiguration;import org.apache.flume.sink.hbase.SimpleHbaseEventSerializer.KeyType;import com.google.common.base.Charsets;public class BaimiAsyncHbaseEventSerializer implements AsyncHbaseEventSerializer {  private byte[] table;  private byte[] cf;  private byte[][] payload;  private byte[][] payloadColumn;  private final String payloadColumnSplit = "\\^A";  private byte[] incrementColumn;  private String rowSuffix;  private String rowSuffixCol;  private byte[] incrementRow;  private KeyType keyType;  @Override  public void initialize(byte[] table, byte[] cf) {    this.table = table;    this.cf = cf;  }  @Override  public List
       
         getActions() {    List
        
          actions = new ArrayList
         
          ();    if(payloadColumn != null){      byte[] rowKey;      try {        switch (keyType) {          case TS:            rowKey = SimpleRowKeyGenerator.getTimestampKey(rowSuffix);            break;          case TSNANO:            rowKey = SimpleRowKeyGenerator.getNanoTimestampKey(rowSuffix);            break;          case RANDOM:            rowKey = SimpleRowKeyGenerator.getRandomKey(rowSuffix);            break;          default:            rowKey = SimpleRowKeyGenerator.getUUIDKey(rowSuffix);            break;        }	// for 循环。提交全部列和对于数据的put请求。	for (int i = 0; i < this.payload.length; i++)	{        	PutRequest putRequest =  new PutRequest(table, rowKey, cf,payloadColumn[i], payload[i]);        	actions.add(putRequest);	}      } catch (Exception e){        throw new FlumeException("Could not get row key!", e);      }    }    return actions;  }  public List
          
            getIncrements(){    List
           
             actions = new        ArrayList
            
             (); if(incrementColumn != null) { AtomicIncrementRequest inc = new AtomicIncrementRequest(table, incrementRow, cf, incrementColumn); actions.add(inc); } return actions; } @Override public void cleanUp() { // TODO Auto-generated method stub } @Override public void configure(Context context) { String pCol = context.getString("payloadColumn", "pCol"); String iCol = context.getString("incrementColumn", "iCol"); rowSuffixCol = context.getString("rowPrefixCol", "mac"); String suffix = context.getString("suffix", "uuid"); if(pCol != null && !pCol.isEmpty()) { if(suffix.equals("timestamp")){ keyType = KeyType.TS; } else if (suffix.equals("random")) { keyType = KeyType.RANDOM; } else if(suffix.equals("nano")){ keyType = KeyType.TSNANO; } else { keyType = KeyType.UUID; } // 从配置文件里读出column。 String[] pCols = pCol.replace(" ", "").split(","); payloadColumn = new byte[pCols.length][]; for (int i = 0; i < pCols.length; i++) { // 列名转为小写 payloadColumn[i] = pCols[i].toLowerCase().getBytes(Charsets.UTF_8); } } if(iCol != null && !iCol.isEmpty()) { incrementColumn = iCol.getBytes(Charsets.UTF_8); } incrementRow = context.getString("incrementRow", "incRow").getBytes(Charsets.UTF_8); } @Override public void setEvent(Event event) { String strBody = new String(event.getBody()); String[] subBody = strBody.split(this.payloadColumnSplit); if (subBody.length == this.payloadColumn.length) { this.payload = new byte[subBody.length][]; for (int i = 0; i < subBody.length; i++) { this.payload[i] = subBody[i].getBytes(Charsets.UTF_8); if ((new String(this.payloadColumn[i]).equals(this.rowSuffixCol))) { // rowkey 前缀是某一列的值, 默认情况是mac地址 this.rowSuffix = subBody[i]; } } } } @Override public void configure(ComponentConfiguration conf) { // TODO Auto-generated method stub }}