Fast parallel bulk loading utility for elasticsearch. Asciicast.
$ go get github.com/miku/esbulk/cmd/esbulk
For deb or rpm packages, see: https://github.com/miku/esbulk/releases
$ esbulk -h
Usage: esbulk [OPTIONS] JSON
-cpuprofile="": write cpu profile to file
-host="localhost": elasticsearch host
-index="": index name
-memprofile="": write heap profile to file
-port=9200: elasticsearch port
-size=1000: bulk batch size
-type="default": elasticsearch doc type
-v=false: prints current program version
-verbose=false: output basic progress
-w=4: number of workers to use
-z=false: unzip gz'd file on the fly
To index a JSON file, that contains one document per line, just run:
$ esbulk -index example file.ldj
Where file.ldj is line delimited JSON, like:
{"name": "esbulk", "version": "0.2.4"}
{"name": "estab", "version": "0.1.3"}
...
By default esbulk will use as many parallel workers, as there are cores.
To tweak the indexing process, adjust the -size and -w parameters.
You can index from gzipped files as well, using the -z flag:
$ esbulk -z -index example file.ldj.gz
A similar project has been started for solr, called solrbulk.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent