logstash grok,用 json 过滤器解析一行
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【中文标题】logstash grok,用 json 过滤器解析一行【英文标题】:logstash grok, parse a line with json filter 【发布时间】:2018-04-20 02:54:52 【问题描述】:我正在使用 ELK(弹性搜索、kibana、logstash、filebeat)来收集日志。我有一个包含以下几行的日志文件,每一行都有一个 json,我的目标是使用 Logstash Grok 取出 json 中的键/值对并将其转发到弹性搜索。
2018-03-28 13:23:01 charge:"oldbalance":5000,"managefee":0,"afterbalance":"5001","cardid":"123456789","txamt":1
2018-03-28 13:23:01 manage:"cuurentValue":5000,"payment":0,"newbalance":"5001","posid":"123456789","something":"new2","additionalFields":1
我正在使用Grok Debugger 制作正则表达式模式并查看结果。我目前的正则表达式是:
%TIMESTAMP_ISO8601 %SPACE %WORD:$:data:%QUOTEDSTRING:key1:%BASE10NUM:value1[,]%QUOTEDSTRING:key2:%BASE10NUM:value2[,]%QUOTEDSTRING:key3:%QUOTEDSTRING:value3[,]%QUOTEDSTRING:key4:%QUOTEDSTRING:value4[,]%QUOTEDSTRING:key5:%BASE10NUM:value5[,]
正如我们看到的那样,它是硬编码的,因为真实日志中 json 中的键可以是任何单词,值可以是整数、双精度或字符串,而且键的长度会有所不同。所以我的解决方案是不可接受的。我的解决结果如下图,仅供参考。我正在使用Grok patterns。
我的问题是尝试在 json 中提取键是否明智,因为弹性搜索也使用 json?其次,如果我尝试从 json 中提取键/值,是否有正确、简洁的 Grok 模式?
Grok 模式的当前结果在解析上述行中的第一行时给出以下输出。
"TIMESTAMP_ISO8601": [
[
"2018-03-28 13:23:01"
]
],
"YEAR": [
[
"2018"
]
],
"MONTHNUM": [
[
"03"
]
],
"MONTHDAY": [
[
"28"
]
],
"HOUR": [
[
"13",
null
]
],
"MINUTE": [
[
"23",
null
]
],
"SECOND": [
[
"01"
]
],
"ISO8601_TIMEZONE": [
[
null
]
],
"SPACE": [
[
""
]
],
"WORD": [
[
"charge"
]
],
"key1": [
[
""oldbalance""
]
],
"value1": [
[
"5000"
]
],
"key2": [
[
""managefee""
]
],
"value2": [
[
"0"
]
],
"key3": [
[
""afterbalance""
]
],
"value3": [
[
""5001""
]
],
"key4": [
[
""cardid""
]
],
"value4": [
[
""123456789""
]
],
"key5": [
[
""txamt""
]
],
"value5": [
[
"1"
]
]
第二次修改
是否可以使用 Logstash 的 Json 过滤器?但在我的情况下,Json 是行/事件的一部分,而不是整个事件是 Json。
================================================ =============
第三版
我看不到解析 json 的更新解决方案功能。我的正则表达式如下:
filter
grok
match =>
"message" => [
"%TIMESTAMP_ISO8601%SPACE%GREEDYDATA:json_data"
]
filter
json
source => "json_data"
target => "parsed_json"
它没有 key:value 对,而是 msg+json 字符串。解析的 json 没有被解析。
测试数据如下:
2018-03-28 13:23:01 manage:"cuurentValue":5000,"payment":0,"newbalance":"5001","posid":"123456789","something":"new2","additionalFields":1
2018-03-28 13:23:03 payment:"cuurentValue":5001,"reload":0,"newbalance":"5002","posid":"987654321","something":"new3","additionalFields":2
2018-03-28 13:24:07 management:"cuurentValue":5002,"payment":0,"newbalance":"5001","posid":"123456789","something":"new2","additionalFields":1
[2018-06-04T15:01:30,017][WARN ][logstash.filters.json ] Error parsing json :source=>"json_data", :raw=>"manage:\"cuurentValue\":5000,\"payment\":0,\"newbalance\":\"5001\",\"posid\":\"123456789\",\"something\":\"new2\",\"additionalFields\":1", :exception=>#<LogStash::Json::ParserError: Unrecognized token 'manage': was expecting ('true', 'false' or 'null')
at [Source: (byte[])"manage:"cuurentValue":5000,"payment":0,"newbalance":"5001","posid":"123456789","something":"new2","additionalFields":1"; line: 1, column: 8]>
[2018-06-04T15:01:30,017][WARN ][logstash.filters.json ] Error parsing json :source=>"json_data", :raw=>"payment:\"cuurentValue\":5001,\"reload\":0,\"newbalance\":\"5002\",\"posid\":\"987654321\",\"something\":\"new3\",\"additionalFields\":2", :exception=>#<LogStash::Json::ParserError: Unrecognized token 'payment': was expecting ('true', 'false' or 'null')
at [Source: (byte[])"payment:"cuurentValue":5001,"reload":0,"newbalance":"5002","posid":"987654321","something":"new3","additionalFields":2"; line: 1, column: 9]>
[2018-06-04T15:01:34,986][WARN ][logstash.filters.json ] Error parsing json :source=>"json_data", :raw=>"management:\"cuurentValue\":5002,\"payment\":0,\"newbalance\":\"5001\",\"posid\":\"123456789\",\"something\":\"new2\",\"additionalFields\":1", :exception=>#<LogStash::Json::ParserError: Unrecognized token 'management': was expecting ('true', 'false' or 'null')
at [Source: (byte[])"management:"cuurentValue":5002,"payment":0,"newbalance":"5001","posid":"123456789","something":"new2","additionalFields":1"; line: 1, column: 12]>
请检查结果:
【问题讨论】:
【参考方案1】:您可以使用GREEDYDATA
将整个 json 块分配给这样的单独字段,
%TIMESTAMP_ISO8601%SPACE%GREEDYDATA:json_data
这将为您的 json 数据创建一个单独的文件,
"TIMESTAMP_ISO8601": [
[
"2018-03-28 13:23:01"
]
],
"json_data": [
[
"charge:"oldbalance":5000,"managefee":0,"afterbalance":"5001","cardid":"123456789","txamt":1"
]
]
然后在json_data
字段上应用json filter,如下所示,
json
source => "json_data"
target => "parsed_json"
【讨论】:
请看第三版,我有一些文字,cmets没有格式功能。 请试试这个,%TIMESTAMP_ISO8601%SPACE%WORD:%GREEDYDATA:json_data
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