24 友盟项目--优化-flume限速拦截、flume自定义源防丢失--改造exec源守护线程监控目录(防丢失)redis维护key(去重)

一、flume限速拦截

flume架构图

ExecSource exec数据源--实时收集

限速拦截器代码实现拦截器 Interceptor 接口

通过第一次发送的时间计算出，发送一个事件本应该所需的时间，与实际发送的时间做对比。如果实际的发送时间<本应该花费的时间，说明超速了

 1 package com.oldboy.umeng.flume.interceptor;
 2 
 3 import java.util.List;
 4 
 5 import org.apache.flume.Context;
 6 import org.apache.flume.Event;
 7 import org.apache.flume.interceptor.Interceptor;
 8 import org.slf4j.Logger;
 9 import org.slf4j.LoggerFactory;
10 
11 /**
12  * 限速拦截器
13  */
14 public class SpeedInterceptor implements Interceptor {
15     private static final Logger logger = LoggerFactory.getLogger(org.apache.flume.interceptor.HostInterceptor.class);
16     //每秒发送的字节数
17     private int speed  = 1024;
18 
19     /**
20      */
21     private SpeedInterceptor(int speed) {
22         this.speed = speed ;
23     }
24 
25     public void initialize() {
26     }
27 
28     /**
29      * 拦截事件
30      */
31     //上次发送记录的毫秒数
32     long prevTimeMs = 0 ;
33     int prevDataLen = 0 ;
34     public Event intercept(Event event) {
35         System.out.println("开始拦截!");
36         byte[] data = event.getBody();
37         //第一次发送
38         if(prevTimeMs == 0){
39             prevTimeMs = System.currentTimeMillis() ;
40             prevDataLen = data.length ;
41             System.out.println("首次发送! : " + prevDataLen);
42             return event ;
43         }
44         else{
45             long now = System.currentTimeMillis() ;
46 
47             //实际消耗的时间
48             long duration = now - prevTimeMs;
49 
50             //本应该花费的时间
51             long shouldBeTimeMs = (long)((double)prevDataLen / speed * 1000) ;
52 
53             if(duration < shouldBeTimeMs ){
54                 try {
55                     System.out.println("超速了 : 休眠 " + (shouldBeTimeMs - duration));
56                     Thread.sleep(shouldBeTimeMs - duration);
57                 } catch (InterruptedException e) {
58                     e.printStackTrace();
59                 }
60             }
61             prevTimeMs = System.currentTimeMillis() ;
62             prevDataLen = data.length ;
63             return event;
64         }
65     }
66 
67     /**
68      * 拦截事件集合
69      */
70     public List<Event> intercept(List<Event> events) {
71         for (Event event : events) {
72             intercept(event);
73         }
74         return events;
75     }
76 
77     public void close() {
78     }
79 
80     /**
81      *
82      */
83     public static class Builder implements Interceptor.Builder {
84         private int speed ;
85 
86         public Interceptor build() {
87             System.out.println("拦截器已创建!!");
88             return new SpeedInterceptor(speed);
89         }
90 
91         //从配置文件得参数
92         public void configure(Context context) {
93             speed = context.getInteger("speed", 1024);
94         }
95     }
96 }

导成jar包 ---> 加到 /soft/flume/lib下

/soft/flume/lib

配置

/soft/flume/conf

umeng_nginx_to_kafka.conf

配置拦截器集合---flume配置文件（这个是完整版的---包括去重拦截器、自定义防丢失源、限速拦截器）

a1.sources = r1
a1.channels = c1
a1.sinks = k1

a1.sources.r1.type = com.oldboy.umeng.flume.UmengExecSource
a1.sources.r1.command = tail -F /usr/local/openresty/nginx/logs/access.log
a1.sources.r1.spooldir = /usr/local/openresty/nginx/logs
a1.sources.r1.prefix = access.log.
a1.sources.r1.suffix = COMPLETED
a1.sources.r1.redisHost = s101
a1.sources.r1.redisPort = 6379

a1.sources.r1.interceptors = i1 i2
a1.sources.r1.interceptors.i1.type = com.oldboy.umeng.flume.interceptor.DuplicateInterceptor$Builder
a1.sources.r1.interceptors.i1.redisHost = s101
a1.sources.r1.interceptors.i1.redisPort = 6379
a1.sources.r1.interceptors.i1.expire = 3600
a1.sources.r1.interceptors.i2.type = com.oldboy.umeng.flume.interceptor.SpeedInterceptor$Builder
a1.sources.r1.interceptors.i2.speed = 512    //每次发送512个字节

a1.channels.c1.type = memory
a1.channels.c1.capacity = 10000

a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink
a1.sinks.k1.kafka.topic = big12-umeng-raw-logs
a1.sinks.k1.kafka.bootstrap.servers = s102:9092
a1.sinks.k1.kafka.flumeBatchSize = 20
a1.sinks.k1.kafka.producer.acks = 1
a1.sinks.k1.kafka.producer.linger.ms = 0

a1.sources.r1.channels=c1
a1.sinks.k1.channel=c1

启动flume

启动kafka

。。。。。。

实现拦截限速

二、flume自定义源防丢失---解决flume还未收集完日志便已经滚动，数据丢失问题（检查 access.log.* 滚动后的文件依次比对key是否在redis中）

防重、防丢失

改造exec源：监控目录、收集新文件---增加个守护线程不断监控目录

redis 3号库维护一个key ,防止重复收集。key期限：3天

改造ExecSource　　防丢失

UmengExecSource---监控目录、收集新文件---增加个守护线程不断监控目录
自定义数据源UmengExecSource代码太多 请看链接详细分析--UmengExecSource

去重拦截器---DuplicateInterceptor 防重复

配置redis中 key有效期三天---

redis.expire(key , expire) ;

expire = context.getInteger("expire", 3 * 24 * 60 * 60);

 1 package com.oldboy.umeng.flume.interceptor;
 2 
 3 import org.apache.flume.Context;
 4 import org.apache.flume.Event;
 5 import org.apache.flume.interceptor.Interceptor;
 6 import org.slf4j.Logger;
 7 import org.slf4j.LoggerFactory;
 8 import redis.clients.jedis.Jedis;
 9 
10 import java.util.List;
11 
12 /**
13  * 去重拦截器
14  */
15 public class DuplicateInterceptor implements Interceptor {
16     private static final Logger logger = LoggerFactory.getLogger(org.apache.flume.interceptor.HostInterceptor.class);
17     //过期秒数
18     private int expire ;
19     private String redisHost ;
20     private  int redisPort ;
21     private int redisDB ;
22 
23     private Jedis redis ;
24 
25     /**
26      * 构造
27      */
28     private DuplicateInterceptor(String redisHost ,int redisPort ,int redisDB, int expire) {
29         this.redisHost = redisHost ;
30         this.redisPort = redisPort ;
31         this.redisDB = redisDB ;
32         this.expire = expire ;
33     }
34 
35     public void initialize() {
36         System.out.println("去重拦截器初始化!!");
37         redis = new Jedis(redisHost ,redisPort) ;
38         redis.select(redisDB) ;
39     }
40 
41     /**
42      * 拦截事件
43      */
44     public Event intercept(Event event) {
45         String line = new String(event.getBody()) ;
46         String key = line.substring(0,line.lastIndexOf("#"));
47         System.out.println("去重的key : " + key);
48         if(redis.exists(key)){
49             System.out.println(key + "存在了!");
50             return null ;
51         }
52         else{
53             redis.set(key , "x") ;
54             redis.expire(key , expire) ;
55             System.out.println(key + " : 不存在!!");
56             return event ;
57         }
58     }
59 
60     /**
61      * 拦截事件集合
62      */
63     public List<Event> intercept(List<Event> events) {
64         for (Event event : events) {
65             intercept(event);
66         }
67         return events;
68     }
69 
70     public void close() {
71     }
72 
73     /**
74      *
75      */
76     public static class Builder implements Interceptor.Builder {
77         private String redisHost ;
78         private int redisPort ;
79         private int redisDB ;
80         private int expire ;
81 
82         public Interceptor build() {
83             System.out.println("拦截器已创建!!");
84             return new DuplicateInterceptor(redisHost , redisPort ,redisDB,expire);
85         }
86 
87         //从配置文件得参数
88         public void configure(Context context) {
89             redisHost = context.getString("redisHost", "s101");
90             redisPort = context.getInteger("redisPort", 6379);
91             expire = context.getInteger("expire", 3 * 24 * 60 * 60);
92             redisDB = context.getInteger("redisDB", 3);
93         }
94     }
95 }

导出jar包

jar包内容

jar包放 /soft/flume/lib

配置flume配置文件

/soft/flume/conf

umeng_nginx_to_kafka.conf

配置拦截器集合---flume配置文件

见上面flume配置文件

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原文地址：https://www.cnblogs.com/star521/p/10003530.html