Migration

The repository has been migrated to https://github.com/SimpleElasticLanguage/sel

SEL

Simple Elastic Language offer an easy way to query ElasticSearch for everybody even no-tech people and even on a big, complex and nested schema.

The project is split into two sub projects:

• SEL, which is the library
• SEL Server, unlock quick usage by connecting directly to ES.

Versions

Two first digits of SEL version match Elasticsearch version and then it's the inner SEL version, eg 7.17.1 works with ES 7.17, v1 of SEL for this version of ES

Full documentation

SEL doc - Containing Big queries' examples and all the query synthax
SEL Server doc

Compagny

SEL was initially developed for Heuritech in 2016 and used by everybody inside the compagny tech and no-tech people since that time to explore internal data, generate reports and analysis.

Quickstart

SEL is using index schema to generate queries.
Be aware it will request ES schema at any query generation.

Add as dependency

sel @ git+https://github.com/ArnaudParant/[email protected]

SEL as ES interface

from elasticsearch import Elasticsearch
from sel.sel import SEL

es = Elasticsearch(hosts="http://elasticsearch")
sel = SEL(es)
sel.search("my_index", {"query": "label = bag"})

SEL as ES query generator

from elasticsearch import Elasticsearch
from sel.sel import SEL

es = Elasticsearch(hosts="http://elasticsearch")
sel = SEL(es)
sel.generate_query({"query": "label = bag"}, index="my_index")["elastic_query"]

SEL as offline ES query generator

from sel.sel import SEL

sel = SEL(None)
sel.generate_query({"query": "label = bag"}, schema=my_index_schema)["elastic_query"]

SEL as API (SEL Server)

See SEL Server for API usage

Makefile rules

• docker - Build SEL docker
• docker-test - Build SEL test docker
• lint - Lint the code
• tests - Run all tests
• upshell - Up a shell into the docker, useful to run only few tests.
• down-tests - Down tests, in case of failed tests
• install-sphinx - Install Sphinx and dependencies to generate documentation.
• doc - Generate the documentation in docs/build/html/
• clean - Clean all __pycache__

Known issues

Elasticsearch

Max virtual memory

Fail to start with the following error

[1]: max virtual memory areas vm.max_map_count [65530] is too low, increase to at least [262144]

Execute the following command

sysctl -w vm.max_map_count=262144

AccessDeniedException

Fail to start with the following error

Caused by: java.nio.file.AccessDeniedException: /usr/share/elasticsearch/data/nodes

Execute the following command

chown -R 1000:root /usr/share/elasticsearch/data