flume 自己定义 hbase sink 类

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 agent
a1.sources  = r1
a1.sinks =  k1
a1.channels  = c1
 
#  Describe/configure the source
a1.sources.r1.type  = spooldir
a1.sources.r1.spoolDir  = /home/scut/Downloads/testFlume
 
# Describe  the sink
a1.sinks.k1.type  = org.apache.flume.sink.hbase.AsyncHBaseSink
a1.sinks.k1.table = Router #设置hbase的表名
a1.sinks.k1.columnFamily = log #设置hbase中的columnFamily
a1.sinks.k1.serializer.payloadColumn=serviceTime,browerOS,clientTime,screenHeight,screenWidth,url,userAgent,mobileDevice,gwId,mac # 设置hbase的column
a1.sinks.k1.serializer = org.apache.flume.sink.hbase.BaimiAsyncHbaseEventSerializer # 设置serializer的处理类
 
# Use a  channel which buffers events in memory
a1.channels.c1.type  = memory
a1.channels.c1.capacity  = 1000
a1.channels.c1.transactionCapacity  = 100
 
# Bind the  source and sink to the channel
a1.sources.r1.channels  = c1
a1.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

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 * distributed with this work for additional information
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 * to you under the Apache License, Version 2.0 (the
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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<PutRequest> getActions() {
    List<PutRequest> actions = new ArrayList<PutRequest>();
    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<AtomicIncrementRequest> getIncrements(){
    List<AtomicIncrementRequest> actions = new
        ArrayList<AtomicIncrementRequest>();
    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
  }
}

重点能够查看setEent，configure，getActions函数。

• configure函数：读取flume配置文件内容。包含列名。rowkey后缀等信息
• setEvent函数：获取flume event 内容，将其保存到payload数组中。
• getActions函数：创建PutRequest实例。将rowkey，columnfamily,column,value等信息写入putrequest实例中。

源代码编译和运行

     编写好自己定义的BaimiAsyncHbaseEventSerializer函数后，接下来须要编译源代码，生成flume-ng-hbase-sink.*.jar包，替换flume中原来的flume-ng-hbase-sink.*.jar包。

• 下载flume 1.5 源代码，解压后进入文件夹flume-1.5.0-src/flume-ng-sinks/flume-ng-hbase-sinks/src/main/java/org/apache/flume/sink/hbase/
• 复制上面的BaimiAsyncHbaseEventSerializer类到上面的文件夹中。
• 进入flume-1.5.0-src/flume-ng-sinks/flume-ng-hbase-sinks/。执行mvn编译命令【mvn install -Dmaven.test.skip=true】
• mvn编译后会在flume-1.5.0-src/flume-ng-sinks/flume-ng-hbase-sinks/target文件夹下生成flume-ng-hbase-sink-1.5.0.jar,将这个jar包替换$FLUME_HOME/lib下的jar包
• 执行flume执行命令【flume-ng agent -c . -f conf/spoolDir.conf -n a1  -Dflume.root.logger=INFO,console】