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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golang-set
A simple, battle-tested and generic set type for the Go language. Trusted by Docker, 1Password, Ethereum and Hashicorp. -
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hyperloglog
HyperLogLog with lots of sugar (Sparse, LogLog-Beta bias correction and TailCut space reduction) brought to you by Axiom -
ttlcache
DISCONTINUED. An in-memory cache with item expiration and generics [Moved to: https://github.com/jellydator/ttlcache] -
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Bloomfilter
DISCONTINUED. Face-meltingly fast, thread-safe, marshalable, unionable, probability- and optimal-size-calculating Bloom filter in go -
hilbert
DISCONTINUED. Go package for mapping values to and from space-filling curves, such as Hilbert and Peano curves. -
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 -
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go-rquad
:pushpin: State of the art point location and neighbour finding algorithms for region quadtrees, in Go -
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nan
Zero allocation Nullable structures in one library with handy conversion functions, marshallers and unmarshallers -
InfluxDB - Power Real-Time Data Analytics at Scale
Do you think we are missing an alternative of parsefields or a related project?
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