📚 elasticsql - Awesome Go Library for Database Drivers
Convert sql to elasticsearch dsl in Go.
🏷️ Database Drivers
📂 Libraries for building and using SQL.
⭐ 1,167 stars
Detailed Description of elasticsql
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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