parsefields alternatives and similar packages
Based on the "Data Structures" category.
Alternatively, view parsefields alternatives based on common mentions on social networks and blogs.
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gods
GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more -
go-datastructures
A collection of useful, performant, and threadsafe Go datastructures. -
golang-set
A simple generic set type for the Go language. Trusted by Docker, 1Password, Ethereum and Hashicorp. -
boomfilters
Probabilistic data structures for processing continuous, unbounded streams. -
gocache
☔️ A complete Go cache library that brings you multiple ways of managing your caches -
hyperloglog
HyperLogLog with lots of sugar (Sparse, LogLog-Beta bias correction and TailCut space reduction) -
trie
Data structure and relevant algorithms for extremely fast prefix/fuzzy string searching. -
gostl
Data structure and algorithm library for go, designed to provide functions similar to C++ STL -
go-geoindex
Go native library for fast point tracking and K-Nearest queries -
ttlcache
An in-memory cache with item expiration and generics [Moved to: https://github.com/jellydator/ttlcache] -
Bloomfilter
Face-meltingly fast, thread-safe, marshalable, unionable, probability- and optimal-size-calculating Bloom filter in go -
hilbert
Go package for mapping values to and from space-filling curves, such as Hilbert and Peano curves. -
go-adaptive-radix-tree
Adaptive Radix Trees implemented in Go -
cuckoo-filter
Cuckoo Filter go implement, better than Bloom Filter, configurable and space optimized 布谷鸟过滤器的Go实现,优于布隆过滤器,可以定制化过滤器参数,并进行了空间优化 -
goconcurrentqueue
Go concurrent-safe, goroutine-safe, thread-safe queue -
ring
Package ring provides a high performance and thread safe Go implementation of a bloom filter. -
go-rquad
:pushpin: State of the art point location and neighbour finding algorithms for region quadtrees, in Go -
set
A simple Set data structure implementation in Go (Golang) using LinkedHashMap. -
goset
Set is a useful collection but there is no built-in implementation in Go lang. -
nan
Zero allocation Nullable structures in one library with handy conversion functions, marshallers and unmarshallers -
hide
ID type with marshalling to/from hash to prevent sending IDs to clients. -
null
Nullable Go types that can be marshalled/unmarshalled to/from JSON.
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README
parsefields
Tool for parse JSON-like logs for collecting unique fields. Main purpose to collect JSON-data with typical events and fields it is useful when you want to create mapping schema for database and you want to reduce the risks of forgotten fields. By default separator between to nested structs is "->", but you can change it with environment.
API consist:
- POST /v1/json/
- POST /v1/mjson/
- GET /v1/fileds/
- GET /v1/events/
- GET /v1/events/:logname/:eventid
- DELETE /v1/events/:logname/:eventid
- DELETE /v1/fields/:field
P.S. additionally info about all new events/fields will be show in stdout.
Deploy
docker build . -t parsefield
docker run -d -p 8000:8000 parsefield
or
docker-compose -p 8000:8000 -d up
Usage
Push new log for parse
Single message per request
curl -X POST -d '{"process_name": "calc.exe", "process_path":"C:\\windows\\system32"}' 127.0.0.1:8000/v1/json/
Multiple message per request
curl -X POST -d '[{"process_name": "calc.exe", "process_path":"C:\\windows\\system32"},{"process_image": "calc.exe", "process_path":"C:\\windows\\system32"},{"pid":"1"}]' 127.0.0.1:8000/v1/mjson/
All unique fields
curl 127.0.0.1:8000/v1/fields/
All unique events
curl 127.0.0.1:8000/v1/events/
Show body of event
curl 127.0.0.1:8000/v1/events/Sysmon/999
Delete events, fields
curl -X DELETE 127.0.0.1:8000/v1/events/Sysmon/999 - delete events with logname Sysmon and eventId 999
curl -X DELETE 127.0.0.1:8000/v1/fields/key - delete field with name key