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Support tagfiltertree for fast matching metricIDs to queries #4310
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// IsVarTagValue returns true if the value is a variable tag value. | ||
func IsVarTagValue(value string) bool { |
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add some explanation? e.g. I am not sure why len<4 means false
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a Var value type is of the form "{{...}}" so the minimum is 4 chars. Anything lesser and we know it's not a Var value type
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nit: add comments to explain what Var Tag means. No reviewer can correlate "VarTagValue" with "...{{...}}..." pattern
type Tag struct { | ||
Name string | ||
Val string | ||
Var string |
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where is the usage of Var? I don't find any
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Var will be used in Namespace Attribution to support capture-groups like functionality in Regex.
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so it will not be used in query matching? nit: add some comments to make the code more readable
return false | ||
} | ||
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// IsMatchNoneTag returns true if the tag is a match none tag. |
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IsNegation?
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Good point. Done.
} | ||
tagValue, tagNameFound := tags[name] | ||
absVal, absValFound := node.AbsoluteValues[tagValue] | ||
if tagNameFound && absValFound { |
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if isMatchAny==false, then within this if condition, you will never return true? is that correct logic?
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Ha! good catch! yeah this is a bug. We cannot rely on the returned "matched" bool flag. I'll fix it.
@@ -186,7 +186,6 @@ linters: | |||
- gci | |||
- goconst | |||
- gocritic | |||
- golint |
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Why?
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golint is deprecated now and mainly not detecting the type correctly when using Generics.
src/metrics/tagfiltertree/README.md
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a set of tag filters. One such use-case is metric attribution to namespaces. | ||
Iterating through each filter individually and matching them is extremely expensive | ||
since it has to be done on each incoming metricID. Therefore, this data structure | ||
pre-compiles a set of tag filters in order to optimize matches against an input metricID. |
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I don't really understand this paragraph.
- "attribution to namespaces" - what does this mean? What is a namespace in this context?
- How does this pre-compiled data structure prevent you from having to do matching on each incoming metricID?
Perhaps a diagram or example would help here.
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Updated the Readme
pre-compiles a set of tag filters in order to optimize matches against an input metricID. | ||
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## Usage | ||
First create a trie using New() and then add tagFilters using AddTagFilter(). |
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And then I guess you use Match
somehow? A code example here would be useful.
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Done!
This PR introduces a new data structure which we call "tagfiltertree".
A query consists of several tag filters. A tag filter is nothing but a tag and value pair where the value is a pattern much like a regex. For instance, "service:foo" is a valid tag filter. A query is nothing but a list of such tag filters that need to be matched with Conjunction within an incoming metricID.
The key observation behind creating a tree structure is that the presence of a tag in a metricID and a query has the potential to drastically prune the search space of the possible queries going forward. So much so that within a couple comparisons we expect an incoming metricID to output the entire list of matched queries.
This package optimizes CPU and memory for match time as opposed to creation of the tree itself. It is not thread-safe so make sure to protect the tree appropriately if it is going to be used in a multithreaded context.
Refer to the README.md for more details.
What this PR does / why we need it:
Use this data structure when you want to quickly match an input metricID to a list of queries.
Does this PR introduce a user-facing and/or backwards incompatible change?:
Does this PR require updating code package or user-facing documentation?: