cch123/elasticsql
cch123/elasticsql has 1,189 GitHub stars and 198 forks. GitHot measured 0 stars in 24 hours and 0 in 7 days. Last checked 2026-11-10 01:33 UTC. Last push 2023-08-06.
convert sql to elasticsearch DSL in golang(go)
Measured star growth
- in 24h
- 0
- in 7 days
- 0
- in 15 days
- Update delayed
- in 1 month
- Update delayed
Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.
README.md
Original _____ _ _ ____ _____ ___ ____ ____ ___ _
| ____| | / \ / ___|_ _|_ _|/ ___|/ ___| / _ \ | |
| _| | | / _ \ \___ \ | | | || | \___ \| | | || |
| |___| |___ / ___ \ ___) || | | || |___ ___) | |_| || |___
|_____|_____|/_/ \_\|____/ |_| |___|\____||____/ \__\_\|_____|
Overview
This tool converts sql to elasticsearch dsl
Currently support:
- sql and expression
- sql or expression
- equal(=) support
- not equal(!=) support
- gt(>) support
- gte(>=) support
- lt(<) support
- lte(<=) support
- sql in (eg. id in (1,2,3) ) expression
- sql not in (eg. id not in (1,2,3) ) expression
- paren bool support (eg. where (a=1 or b=1) and (c=1 or d=1))
- sql like expression (currently use match phrase, perhaps will change to wildcard in the future)
- sql order by support
- sql limit support
- sql not like expression
- field missing check
- support aggregation like count(*), count(field), min(field), max(field), avg(field)
- support aggregation like stats(field), extended_stats(field), percentiles(field) which are not standard sql function
- null check expression(is null/is not null)
- join expression
- having support
Usage
go get -u github.com/cch123/elasticsql
Demo :
package main
import (
"fmt"
"github.com/cch123/elasticsql"
)
var sql = `
select * from aaa
where a=1 and x = '三个男人'
and create_time between '2015-01-01T00:00:00+0800' and '2016-01-01T00:00:00+0800'
and process_id > 1 order by id desc limit 100,10
`
func main() {
dsl, esType, _ := elasticsql.Convert(sql)
fmt.Println(dsl)
fmt.Println(esType)
}
will produce :
{
"query": {
"bool": {
"must": [
{
"match": {
"a": {
"query": "1",
"type": "phrase"
}
}
},
{
"match": {
"x": {
"query": "三个男人",
"type": "phrase"
}
}
},
{
"range": {
"create_time": {
"from": "2015-01-01T00:00:00+0800",
"to": "2016-01-01T00:00:00+0800"
}
}
},
{
"range": {
"process_id": {
"gt": "1"
}
}
}
]
}
},
"from": 100,
"size": 10,
"sort": [
{
"id": "desc"
}
]
}
aaa
If your sql contains some keywords, eg. order, timestamp, don't forget to escape these fields as follows:
select * from `order` where `timestamp` = 1 and `desc`.id > 0
Warning
To use this tool, you need to understand the term query and match phrase query of elasticsearch.
Setting a field to analyzed or not analyzed will get different results.
Details
For more details of convertion, please refer to the wiki
Other info
When writing this tool, I tried to avoid the deprecated dsl filters and aggregations, so it is compatible with most versions of the elasticsearch
If you have any advices or ideas, welcome to submit an issue or Pull Request!
License
MIT
Explore related projects
Asabeneh/30-Days-Of-Python
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
78,486 starsgrafana/grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
77,790 starsredis/redis
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
77,332 starsapache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
75,455 stars