组合第一滤波器的输出作为第二滤波器的输入 [英] combine output of a a first filter as input of a second filter
问题描述
我们有一个带有两个带标签字段的条目的elasticsearch实例.
We have an elasticsearch instance with entries with two tagged fields.
- sessionid
- 消息
在第一个过滤器中,我找到了 message 包含特定子字符串的所有条目.每个条目都包含一个 sessionid
In a first filter, I find all entries where the message contains a certain substring. Each of those entries contains a sessionid,
在第二个过滤器中,我想找到所有消息,其中 sessionid 与第一个过滤器返回的一个sessionid匹配.此过滤器应第二次遍历所有条目.
In a second filter, I want to find all messages, where the sessionid matches one of the sessionids returned by the first filter. This filter should go through all entries a second time.
示例,在下面的日志中(sessionid;消息)
Example, in the log below (sessionid;message)
1234;miss 1
2456;miss 2
1234;match
在消息部分中过滤字符串"match"时,我将得到组合查询的输出:
When filtering for the string "match" in the message part, I would get as output of the combined query:
1234;miss 1
1234;match
我们正在使用KQL.
背景:在多线程环境中,我们希望有一种简单的方法来跟踪消息中带有错误字符串的完整流.
Background: We want an easy way to follow complete flows with an error-string in a message, in a multithreaded environment.
推荐答案
我了解您为什么要一口气做到这一点,但是在ElasticSearch中是不可能的.您无法重新访问"已由其他查询排除的文档-搜索 match
将取消所有 miss
的资格.
很遗憾,您将日志消息与ID组合在一起,但是您可以尝试以下操作:
I understand why you'd want to do that in one go but it's not possible in ElasticSearch. You cannot "revisit" documents which you've already ruled out by a different query -- searching for match
would disqualify all miss
s.
It's unfortunate you have the log message combined with the ID but you can try this:
- 找到所有匹配的
match
(双关语意味)–我假设您确实有一个keyword
字段
- Find all that match
match
(pun intended) -- I'm assuming you do have akeyword
field available
GET your_index/_search
{
"query": {
"regexp": {
"separated_msg.keyword": ".*\\;match.*"
}
}
}
-
对匹配进行后期处理并提取会话ID
Post-process the hits and extract the session IDs
运行会话ID匹配:
GET your_index/_search
{
"query": {
"regexp": {
"separated_msg.keyword": "1234;.*"
}
}
}
或使用 bool应该在多个ID上
:
GET your_index/_search
{
"query": {
"bool": {
"should": [
{
"regexp": {
"separated_msg.keyword": "1234;.*"
}
},
{
"regexp": {
"separated_msg.keyword": "4567;.*"
}
}
]
}
}
}
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