先把flume1.7的源码包下载
http://archive.apache.org/dist/flume/1.7.0/
下载解压后
我们通过IDEA这个软件来打开这个工程
点击ok后我们选择打开一个新的窗口
不过这个默认方式导入加载时间很长，建议大家用maven方式导入。
导入之后我们看这个类
看看我们的数据源，就是我们之前下载好的搜狗实验室的数据，之前已经上传到节点1去了
这个是我们要配置flume的模型
下面我们来配置节点1的flume
配置jdk的绝对路径
下面这个配置暂时这样配置先，往后可能会修改
下面对下载好的数据进行预处理一下，因为下载下来的数据格式比较混乱
先是按行来把制表符换成逗号，然后生成weblog2.log
接下来是按行把空格换成逗号生成weblog3.log
这样子我们就统一用逗号隔开了
把没用的文件删除掉
改下名字
把预处理完的weblog.log文件分发到节点2 和节点3上去
我们对导入的flume源码进行二次开发
我们不要动他原来的，我们新建一个类
然后把这个类的内容拷过来然后修改文件名和类名
package org.apache.flume.sink.hbase; /* * 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. */ import com.google.common.base.Charsets; import org.apache.flume.Context; import org.apache.flume.Event; import org.apache.flume.FlumeException; import org.apache.flume.conf.ComponentConfiguration; import org.hbase.async.AtomicIncrementRequest; import org.hbase.async.PutRequest; import java.util.ArrayList; import java.util.List; //package org.apache.flume.sink.hbase; import com.google.common.base.Charsets; import org.apache.flume.Context; import org.apache.flume.Event; import org.apache.flume.FlumeException; import org.apache.flume.conf.ComponentConfiguration; import org.apache.flume.sink.hbase.SimpleHbaseEventSerializer.KeyType; import org.hbase.async.AtomicIncrementRequest; import org.hbase.async.PutRequest; import java.util.ArrayList; import java.util.List; /** * A simple serializer to be used with the AsyncHBaseSink * that returns puts from an event, by writing the event * body into it. The headers are discarded. It also updates a row in hbase * which acts as an event counter. * * Takes optional parameters:<p> * <tt>rowPrefix:</tt> The prefix to be used. Default: <i>default</i><p> * <tt>incrementRow</tt> The row to increment. Default: <i>incRow</i><p> * <tt>suffix:</tt> <i>uuid/random/timestamp.</i>Default: <i>uuid</i><p> * * Mandatory parameters: <p> * <tt>cf:</tt>Column family.<p> * Components that have no defaults and will not be used if absent: * <tt>payloadColumn:</tt> Which column to put payload in. If it is not present, * event data will not be written.<p> * <tt>incrementColumn:</tt> Which column to increment. If this is absent, it * means no column is incremented. */ public class KfkAsyncHbaseEventSerializer implements AsyncHbaseEventSerializer { private byte[] table; private byte[] cf; private byte[] payload; private byte[] payloadColumn; private byte[] incrementColumn; private String rowPrefix; private byte[] incrementRow; private SimpleHbaseEventSerializer.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(rowPrefix); break; case TSNANO: rowKey = SimpleRowKeyGenerator.getNanoTimestampKey(rowPrefix); break; case RANDOM: rowKey = SimpleRowKeyGenerator.getRandomKey(rowPrefix); break; default: rowKey = SimpleRowKeyGenerator.getUUIDKey(rowPrefix); break; } PutRequest putRequest = new PutRequest(table, rowKey, cf, payloadColumn, payload); 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"); rowPrefix = context.getString("rowPrefix", "default"); String suffix = context.getString("suffix", "uuid"); if (pCol != null && !pCol.isEmpty()) { if (suffix.equals("timestamp")) { keyType = SimpleHbaseEventSerializer.KeyType.TS; } else if (suffix.equals("random")) { keyType = SimpleHbaseEventSerializer.KeyType.RANDOM; } else if (suffix.equals("nano")) { keyType = SimpleHbaseEventSerializer.KeyType.TSNANO; } else { keyType = SimpleHbaseEventSerializer.KeyType.UUID; } payloadColumn = pCol.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) { this.payload = event.getBody(); } @Override public void configure(ComponentConfiguration conf) { // TODO Auto-generated method stub } }
在原来基础上稍微做修改
按住ctrl键单机鼠标进去
添加以下内容
/* * 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.io.UnsupportedEncodingException; import java.util.Random; import java.util.UUID; /** * Utility class for users to generate their own keys. Any key can be used, * this is just a utility that provides a set of simple keys. */ public class SimpleRowKeyGenerator { public static byte[] getUUIDKey(String prefix) throws UnsupportedEncodingException { return (prefix + UUID.randomUUID().toString()).getBytes("UTF8"); } public static byte[] getRandomKey(String prefix) throws UnsupportedEncodingException { return (prefix + String.valueOf(new Random().nextLong())).getBytes("UTF8"); } public static byte[] getTimestampKey(String prefix) throws UnsupportedEncodingException { return (prefix + String.valueOf(System.currentTimeMillis())).getBytes("UTF8"); } public static byte[] getNanoTimestampKey(String prefix) throws UnsupportedEncodingException { return (prefix + String.valueOf(System.nanoTime())).getBytes("UTF8"); } public static byte[] getKfkRowKey(String userid,String datetime) throws UnsupportedEncodingException { return (userid + datetime + String.valueOf(System.currentTimeMillis())).getBytes("UTF8"); } }
继续修改,修改后的代码是下面的
KfkAsyncHbaseEventSerializer.java
package org.apache.flume.sink.hbase; /* * 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. */ import com.google.common.base.Charsets; import org.apache.flume.Context; import org.apache.flume.Event; import org.apache.flume.FlumeException; import org.apache.flume.conf.ComponentConfiguration; import org.hbase.async.AtomicIncrementRequest; import org.hbase.async.PutRequest; import java.util.ArrayList; import java.util.List; //package org.apache.flume.sink.hbase; import com.google.common.base.Charsets; import org.apache.flume.Context; import org.apache.flume.Event; import org.apache.flume.FlumeException; import org.apache.flume.conf.ComponentConfiguration; import org.apache.flume.sink.hbase.SimpleHbaseEventSerializer.KeyType; import org.hbase.async.AtomicIncrementRequest; import org.hbase.async.PutRequest; import java.util.ArrayList; import java.util.List; /** * A simple serializer to be used with the AsyncHBaseSink * that returns puts from an event, by writing the event * body into it. The headers are discarded. It also updates a row in hbase * which acts as an event counter. * * Takes optional parameters:<p> * <tt>rowPrefix:</tt> The prefix to be used. Default: <i>default</i><p> * <tt>incrementRow</tt> The row to increment. Default: <i>incRow</i><p> * <tt>suffix:</tt> <i>uuid/random/timestamp.</i>Default: <i>uuid</i><p> * * Mandatory parameters: <p> * <tt>cf:</tt>Column family.<p> * Components that have no defaults and will not be used if absent: * <tt>payloadColumn:</tt> Which column to put payload in. If it is not present, * event data will not be written.<p> * <tt>incrementColumn:</tt> Which column to increment. If this is absent, it * means no column is incremented. */ public class KfkAsyncHbaseEventSerializer implements AsyncHbaseEventSerializer { private byte[] table; private byte[] cf; private byte[] payload; private byte[] payloadColumn; private byte[] incrementColumn; private String rowPrefix; private byte[] incrementRow; private SimpleHbaseEventSerializer.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 { String [] columns =String.valueOf(payloadColumn).split(","); String [] values =String.valueOf(this.payload).split(","); for(int i=0;i<columns.length;i++) { byte[] colColumn=columns[i].getBytes(); byte[] colValue=values[i].getBytes(Charsets.UTF_8); if(colColumn.length!=colValue.length) break; //continue; // if(colValue.length<3) continue; String datetime = values[0].toString(); String userid = values[1].toString(); rowKey = SimpleRowKeyGenerator.getKfkRowKey(userid,datetime); //获取6个列的值最终加载到hbase PutRequest putRequest = new PutRequest(table, rowKey, cf, colColumn, colValue); 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"); rowPrefix = context.getString("rowPrefix", "default"); String suffix = context.getString("suffix", "uuid"); if (pCol != null && !pCol.isEmpty()) { if (suffix.equals("timestamp")) { keyType = SimpleHbaseEventSerializer.KeyType.TS; } else if (suffix.equals("random")) { keyType = SimpleHbaseEventSerializer.KeyType.RANDOM; } else if (suffix.equals("nano")) { keyType = SimpleHbaseEventSerializer.KeyType.TSNANO; } else { keyType = SimpleHbaseEventSerializer.KeyType.UUID; } payloadColumn = pCol.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) { this.payload = event.getBody(); } @Override public void configure(ComponentConfiguration conf) { // TODO Auto-generated method stub } }
现在把代码打包
我们可以看到有很多相关的依赖包，我们把不需要的删掉
直接点击Build就可以了
打好的架包在本地的工程路径的这里
现在把这个架包上传到flume的lib目录下
也就是这个目录。
可以看到上传日期，就是今天上传的
下面配置flume + kafka
agent1.sources = r1 agent1.channels = kafkaC hbaseC agent1.sinks=kafkaSink hbaseSink #***********flume + hbase************ agent1.sources.r1.type = avro agent1.sources.r1.channels = hbaseC agent1.sources.r1.bind = bigdata-pro01.kfk.com agent1.sources.r1.port=5555 agent1.sources.r1.threads=5 agent1.channels.hbaseC.type = memory agent1.channels.hbaseC.capacity = 100000 agent1.channels.hbaseC.transactionCapacity = 100000 agent1.channels.hbaseC.keep-alive=20 agent1.sinks.hbaseSink.type = asynchbase agent1.sinks.hbaseSink.table=weblogs agent1.sinks.hbaseSink.columnFamily=info agent1.sinks.hbaseSink.serializer= org.apache.flume.sink.hbase.KfkAsyncHbaseEventSerializer agent1.sinks.hbaseSink.channel = hbaseC agent1.sinks.hbaseSink.serializer.payloadColumn=datatime,userid,searchname,retorder,cliorder,cliurl #**************flume + kafka*************** agent1.channels.kafkaC.type = memory agent1.channels.kafkaC.capacity = 100000 agent1.channels.kafkaC.transactionCapacity = 100000 agent1.channels.kafkaC.keep-alive=20 agent1.sinks.kafkaSink.channel = kafkaC agent1.sinks.kafkaSink.type= org.apache.flume.sink.kafka.KafkaSink agent1.sinks.kafkaSink.kafka.brokerList=bigdata-pro01.kfk.com:9092,bigdata-pro02.kfk.com:9092,bigdata-pro03.kfk.com:9092 agent1.sinks.kafkaSink.topic=test agent1.sinks.kafkaSink.zookeeperConnect=bigdata-pro01.kfk.com:2181,bigdata-pro02.kfk.com:2181,bigdata-pro03.kfk.com:2181 agent1.sinks.kafkaSink.requiredAcks=1 agent1.sinks.kafkaSink.batchSize=1 agent1.sinks.kafkaSink.serializer.class=kafka.serializer.StringEncoder