flume-ng interceptors

蔚落 2022-08-17 14:21 39阅读 0赞

flume-ng  interceptors 可以理解为一个过滤器，通过配置可以收集到符合自己需要类型的日志

官网提供了以下几种interceptors：

####   Timestamp Interceptor ####

在event的header中添加一个key叫：timestamp,value为当前的时间戳

Example for agent named a1:

a1.sources = r1
    a1.channels = c1
    a1.sources.r1.channels =  c1
    a1.sources.r1.type = seq
    a1.sources.r1.interceptors = i1
    a1.sources.r1.interceptors.i1.type = timestamp

####   Host Interceptor ####

在event的header中添加一个key叫：host,value为当前机器的hostname或者ip

Example for agent named a1:

a1.sources = r1
    a1.channels = c1
    a1.sources.r1.interceptors = i1
    a1.sources.r1.interceptors.i1.type = host
    a1.sources.r1.interceptors.i1.hostHeader = hostname

####   Static Interceptor ####

可以在event的header中添加自定义的key和value。

Example for agent named a1:

a1.sources = r1
    a1.channels = c1
    a1.sources.r1.channels =  c1
    a1.sources.r1.type = seq
    a1.sources.r1.interceptors = i1
    a1.sources.r1.interceptors.i1.type = static
    a1.sources.r1.interceptors.i1.key = datacenter
    a1.sources.r1.interceptors.i1.value = NEW_YORK

####   UUID Interceptor ####

####   Morphline Interceptor ####

Sample flume.conf file:

a1.sources.avroSrc.interceptors = morphlineinterceptor
    a1.sources.avroSrc.interceptors.morphlineinterceptor.type = org.apache.flume.sink.solr.morphline.MorphlineInterceptor$Builder
    a1.sources.avroSrc.interceptors.morphlineinterceptor.morphlineFile = /etc/flume-ng/conf/morphline.conf
    a1.sources.avroSrc.interceptors.morphlineinterceptor.morphlineId = morphline1

####   Search and Replace Interceptor ####

Example configuration:

a1.sources.avroSrc.interceptors = search-replace
    a1.sources.avroSrc.interceptors.search-replace.type = search_replace
    
    # Remove leading alphanumeric characters in an event body.
    a1.sources.avroSrc.interceptors.search-replace.searchPattern = ^[A-Za-z0-9_]+
    a1.sources.avroSrc.interceptors.search-replace.replaceString =

Another example:

a1.sources.avroSrc.interceptors = search-replace
    a1.sources.avroSrc.interceptors.search-replace.type = search_replace
    
    # Use grouping operators to reorder and munge words on a line.
    a1.sources.avroSrc.interceptors.search-replace.searchPattern = The quick brown ([a-z]+) jumped over the lazy ([a-z]+)
    a1.sources.avroSrc.interceptors.search-replace.replaceString = The hungry $2 ate the careless $1

####   Regex Filtering Interceptor ####

通过正则来清洗或包含匹配的events。

####   Regex Extractor Intercepto ####

通过正则表达式来在header中添加指定的key,value则为正则匹配的部分

####   Example 1: ####

If the Flume event body contained 1:2:3.4foobar5 and the following configuration was used

a1.sources.r1.interceptors.i1.regex = (\\d):(\\d):(\\d)
    a1.sources.r1.interceptors.i1.serializers = s1 s2 s3
    a1.sources.r1.interceptors.i1.serializers.s1.name = one
    a1.sources.r1.interceptors.i1.serializers.s2.name = two
    a1.sources.r1.interceptors.i1.serializers.s3.name = three

The extracted event will contain the same body but the following headers will have been added one=>1, two=>2, three=>3

####   Example 2: ####

If the Flume event body contained 2012-10-18 18:47:57,614 some log line and the following configuration was used

a1.sources.r1.interceptors.i1.regex = ^(?:\\n)?(\\d\\d\\d\\d-\\d\\d-\\d\\d\\s\\d\\d:\\d\\d)
    a1.sources.r1.interceptors.i1.serializers = s1
    a1.sources.r1.interceptors.i1.serializers.s1.type = org.apache.flume.interceptor.RegexExtractorInterceptorMillisSerializer
    a1.sources.r1.interceptors.i1.serializers.s1.name = timestamp
    a1.sources.r1.interceptors.i1.serializers.s1.pattern = yyyy-MM-dd HH:mm

上面是官网提供的demo：

这里我简单介绍一下经常使用的 regex\_filter

在配置中新增interceptors：

下面是给了两个正则 ，作为两个例子进行实现  其中 i1 是 匹配正则  i2 是匹配类似 d:d:d 格式的日志

a1.sources.source1.interceptors=i2
    a1.sources.source1.interceptors.i1.type=regex_filter  
    a1.sources.source1.interceptors.i1.regex=\\{.*\\}  
    
    a1.sources.source1.interceptors.i2.type=regex_filter  
    a1.sources.source1.interceptors.i2.regex = (\\d):(\\d):(\\d)
    a1.sources.source1.interceptors.i2.serializers = s1 s2 s3
    a1.sources.source1.interceptors.i2.serializers.s1.name = one
    a1.sources.source1.interceptors.i2.serializers.s2.name = two
    a1.sources.source1.interceptors.i2.serializers.s3.name = three

其他的配置请看上一篇日志 [http://blog.csdn.net/linlinv3/article/details/50053333][http_blog.csdn.net_linlinv3_article_details_50053333]；

在上一篇的日志中加入 interceptors；

若是不加interceptors 采集到的日志是 WriteLog所有的：

![Image 1][]

![Center][]

若是加上i1后 日志只有 1：2：3

![Center 1][]

若是使用i2 则日志只有 那串json串

![Image 1][]

![Center 2][]

[http_blog.csdn.net_linlinv3_article_details_50053333]: http://blog.csdn.net/linlinv3/article/details/50053333
[Image 1]: 
[Center]: /images/20220731/7a9d22e55cd34faf851c17808e026eef.png
[Center 1]: /images/20220731/0cdfd69716354cc9b022032375f997ed.png
[Center 2]: /images/20220731/aaf8b7fbdf564a1d93d9c1ce15c72a55.png