1.7、flume案例二
案例需求：
在数据采集之后，通过flume的拦截器，实现不需要的数据过滤掉，并将指定的第一个字段进行加密，加密之后再往hdfs上面保存
原始数据与处理之后的数据对比
图一 原始文件内容
图二 HDFS上产生收集到的处理数据
实现步骤
第一步：创建maven java工程，导入jar包
第二步：自定义flume的拦截器
package cn.itcast.iterceptor;
import com.google.common.base.Charsets;
import org.apache.flume.Context;
import org.apache.flume.Event;
import org.apache.flume.interceptor.Interceptor;
import java.security.MessageDigest;
import java.security.NoSuchAlgorithmException;
import java.util.ArrayList;
import java.util.List;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import static cn.itcast.iterceptor.CustomParameterInterceptor.Constants.*;
public class CustomParameterInterceptor implements Interceptor {
/** The field_separator.指明每一行字段的分隔符 */
private final String fields_separator;
/** The indexs.通过分隔符分割后，指明需要那列的字段 下标*/
private final String indexs;
/** The indexs_separator. 多个下标的分隔符*/
private final String indexs_separator;
/**
*
* @param indexs
* @param indexs_separator
*/
public CustomParameterInterceptor( String fields_separator,
String indexs, String indexs_separator,String encrypted_field_index) {
String f = fields_separator.trim();
String i = indexs_separator.trim();
this.indexs = indexs;
this.encrypted_field_index=encrypted_field_index.trim();
if (!f.equals("")) {
f = UnicodeToString(f);
}
this.fields_separator =f;
if (!i.equals("")) {
i = UnicodeToString(i);
}
this.indexs_separator = i;
}
/*
*
* \t 制表符 ('\u0009') \n 新行（换行）符 (' ') \r 回车符 (' ') \f 换页符 ('\u000C') \a 报警
* (bell) 符 ('\u0007') \e 转义符 ('\u001B') \cx 空格(\u0020)对应于 x 的控制符
*
* @param str
* @return
* @data:2015-6-30
*/
/** The encrypted_field_index. 需要加密的字段下标*/
private final String encrypted_field_index;
public static String UnicodeToString(String str) {
Pattern pattern = Pattern.compile("(\\\\u(\\p{XDigit}{4}))");
Matcher matcher = pattern.matcher(str);
char ch;
while (matcher.find()) {
ch = (char) Integer.parseInt(matcher.group(2), 16);
str = str.replace(matcher.group(1), ch + "");
}
return str;
}
/*
* @see org.apache.flume.interceptor.Interceptor#intercept(org.apache.flume.Event)
* 单个event拦截逻辑
*/
public Event intercept(Event event) {
if (event == null) {
return null;
}
try {
String line = new String(event.getBody(), Charsets.UTF_8);
String[] fields_spilts = line.split(fields_separator);
String[] indexs_split = indexs.split(indexs_separator);
String newLine="";
for (int i = 0; i < indexs_split.length; i++) {
int parseInt = Integer.parseInt(indexs_split[i]);
//对加密字段进行加密
if(!"".equals(encrypted_field_index)&&encrypted_field_index.equals(indexs_split[i])){
newLine+=StringUtils.GetMD5Code(fields_spilts[parseInt]);
}else{
newLine+=fields_spilts[parseInt];
}
if(i!=indexs_split.length-1){
newLine+=fields_separator;
}
}
event.setBody(newLine.getBytes(Charsets.UTF_8));
return event;
} catch (Exception e) {
return event;
}
}
/*
* @see org.apache.flume.interceptor.Interceptor#intercept(java.util.List)
* 批量event拦截逻辑
*/
public List
List
for (Event event : events) {
Event outEvent = intercept(event);
if (outEvent != null) {
out.add(outEvent);
}
}
return out;
}
/*
* @see org.apache.flume.interceptor.Interceptor#initialize()
*/
public void initialize() {
// TODO Auto-generated method stub
}
/*
* @see org.apache.flume.interceptor.Interceptor#close()
*/
public void close() {
// TODO Auto-generated method stub
}
/**
* 相当于自定义Interceptor的工厂类
* 在flume采集配置文件中通过制定该Builder来创建Interceptor对象
* 可以在Builder中获取、解析flume采集配置文件中的拦截器Interceptor的自定义参数：
* 字段分隔符，字段下标，下标分隔符、加密字段下标 ...等
* @author
*
*/
public static class Builder implements Interceptor.Builder {
/** The fields_separator.指明每一行字段的分隔符 */
private String fields_separator;
/** The indexs.通过分隔符分割后，指明需要那列的字段 下标*/
private String indexs;
/** The indexs_separator. 多个下标下标的分隔符*/
private String indexs_separator;
/** The encrypted_field. 需要加密的字段下标*/
private String encrypted_field_index;
/*
* @see org.apache.flume.conf.Configurable#configure(org.apache.flume.Context)
*/
public void configure(Context context) {
fields_separator = context.getString(FIELD_SEPARATOR, DEFAULT_FIELD_SEPARATOR);
indexs = context.getString(INDEXS, DEFAULT_INDEXS);
indexs_separator = context.getString(INDEXS_SEPARATOR, DEFAULT_INDEXS_SEPARATOR);
encrypted_field_index= context.getString(ENCRYPTED_FIELD_INDEX, DEFAULT_ENCRYPTED_FIELD_INDEX);
}
/*
* @see org.apache.flume.interceptor.Interceptor.Builder#build()
*/
public Interceptor build() {
return new CustomParameterInterceptor(fields_separator, indexs, indexs_separator,encrypted_field_index);
}
}
/**
* 常量
*
*/
public static class Constants {
/** The Constant FIELD_SEPARATOR. */
public static final String FIELD_SEPARATOR = "fields_separator";
/** The Constant DEFAULT_FIELD_SEPARATOR. */
public static final String DEFAULT_FIELD_SEPARATOR =" ";
/** The Constant INDEXS. */
public static final String INDEXS = "indexs";
/** The Constant DEFAULT_INDEXS. */
public static final String DEFAULT_INDEXS = "0";
/** The Constant INDEXS_SEPARATOR. */
public static final String INDEXS_SEPARATOR = "indexs_separator";
/** The Constant DEFAULT_INDEXS_SEPARATOR. */
public static final String DEFAULT_INDEXS_SEPARATOR = ",";
/** The Constant ENCRYPTED_FIELD_INDEX. */
public static final String ENCRYPTED_FIELD_INDEX = "encrypted_field_index";
/** The Constant DEFAUL_TENCRYPTED_FIELD_INDEX. */
public static final String DEFAULT_ENCRYPTED_FIELD_INDEX = "";
/** The Constant PROCESSTIME. */
public static final String PROCESSTIME = "processTime";
/** The Constant PROCESSTIME. */
public static final String DEFAULT_PROCESSTIME = "a";
}
/**
* 工具类：字符串md5加密
*/
public static class StringUtils {
// 全局数组
private final static String[] strDigits = { "0", "1", "2", "3", "4", "5",
"6", "7", "8", "9", "a", "b", "c", "d", "e", "f" };
// 返回形式为数字跟字符串
private static String byteToArrayString(byte bByte) {
int iRet = bByte;
// System.out.println("iRet="+iRet);
if (iRet < 0) {
iRet += 256;
}
int iD1 = iRet / 16;
int iD2 = iRet % 16;
return strDigits[iD1] + strDigits[iD2];
}
// 返回形式只为数字
private static String byteToNum(byte bByte) {
int iRet = bByte;
System.out.println("iRet1=" + iRet);
if (iRet < 0) {
iRet += 256;
}
return String.valueOf(iRet);
}
// 转换字节数组为16进制字串
private static String byteToString(byte[] bByte) {
StringBuffer sBuffer = new StringBuffer();
for (int i = 0; i < bByte.length; i++) {
sBuffer.append(byteToArrayString(bByte[i]));
}
return sBuffer.toString();
}
public static String GetMD5Code(String strObj) {
String resultString = null;
try {
resultString = new String(strObj);
MessageDigest md = MessageDigest.getInstance("MD5");
// md.digest() 该函数返回值为存放哈希值结果的byte数组
resultString = byteToString(md.digest(strObj.getBytes()));
} catch (NoSuchAlgorithmException ex) {
ex.printStackTrace();
}
return resultString;
}
}
}
第三步：打包上传服务器
将我们的拦截器打成jar包放到flume的lib目录下
第四步：开发flume的配置文件
第三台机器开发flume的配置文件
cd /export/servers/apache-flume-1.6.0-cdh5.14.0-bin/conf
vim spool-interceptor-hdfs.conf
a1.channels = c1
a1.sources = r1
a1.sinks = s1
#channel
a1.channels.c1.type = memory
a1.channels.c1.capacity=100000
a1.channels.c1.transactionCapacity=50000
#source
a1.sources.r1.channels = c1
a1.sources.r1.type = spooldir
a1.sources.r1.spoolDir = /export/servers/intercept
a1.sources.r1.batchSize= 50
a1.sources.r1.inputCharset = UTF-8
a1.sources.r1.interceptors =i1 i2
a1.sources.r1.interceptors.i1.type =cn.itcast.iterceptor.CustomParameterInterceptor$Builder
a1.sources.r1.interceptors.i1.fields_separator=\\u0009
a1.sources.r1.interceptors.i1.indexs =0,1,3,5,6
a1.sources.r1.interceptors.i1.indexs_separator =\\u002c
a1.sources.r1.interceptors.i1.encrypted_field_index =0
a1.sources.r1.interceptors.i2.type = org.apache.flume.interceptor.TimestampInterceptor$Builder
#sink
a1.sinks.s1.channel = c1
a1.sinks.s1.type = hdfs
a1.sinks.s1.hdfs.path =hdfs://192.168.52.100:8020/flume/intercept/%Y%m%d
a1.sinks.s1.hdfs.filePrefix = event
a1.sinks.s1.hdfs.fileSuffix = .log
a1.sinks.s1.hdfs.rollSize = 10485760
a1.sinks.s1.hdfs.rollInterval =20
a1.sinks.s1.hdfs.rollCount = 0
a1.sinks.s1.hdfs.batchSize = 1500
a1.sinks.s1.hdfs.round = true
a1.sinks.s1.hdfs.roundUnit = minute
a1.sinks.s1.hdfs.threadsPoolSize = 25
a1.sinks.s1.hdfs.useLocalTimeStamp = true
a1.sinks.s1.hdfs.minBlockReplicas = 1
a1.sinks.s1.hdfs.fileType =DataStream
a1.sinks.s1.hdfs.writeFormat = Text
a1.sinks.s1.hdfs.callTimeout = 60000
a1.sinks.s1.hdfs.idleTimeout =60
第五步：上传测试数据
上传我们的测试数据到/export/servers/intercept 这个目录下面去，如果目录不存在则创建
mkdir -p /export/servers/intercept
测试数据如下
13601249301 100 200 300 400 500 600 700
13601249302 100 200 300 400 500 600 700
13601249303 100 200 300 400 500 600 700
13601249304 100 200 300 400 500 600 700
13601249305 100 200 300 400 500 600 700
13601249306 100 200 300 400 500 600 700
13601249307 100 200 300 400 500 600 700
13601249308 100 200 300 400 500 600 700
13601249309 100 200 300 400 500 600 700
13601249310 100 200 300 400 500 600 700
13601249311 100 200 300 400 500 600 700
13601249312 100 200 300 400 500 600 700
第六步：启动flume
cd /export/servers/apache-flume-1.6.0-cdh5.14.0-bin
bin/flume-ng agent -c conf -f conf/spool-interceptor-hdfs.conf -name a1 -Dflume.root.logger=DEBUG,console
小结：一般不在flume上进行数据处理。数据的处理都在MR上进行，flume主要就是数据的收集。