go lucene

go-lucene

用 go 编写的 lucene 解析器，没有依赖项。

使用此包，您可以快速将 lucene 样式搜索集成到您的应用程序中，并为特定查询生成 sql 过滤器。没有外部依赖，语法完全支持 Apache Lucene 9.4.2。

开箱即用的 go-lucene 支持符合 postgres 的 sql 生成，但它也可以扩展以支持不同风格的 sql（或无 sql）。

用法

使用lucene.ToPostgres生成一个包含所有过滤器的字符串。

使用lucene.ToParmeterizedPostgres生成带有参数的参数化字符串，您可以将其传递给数据库查询。

使用lucene.WithDefaultField选项将裸文字与字段关联。

纯弦

 // suppose you want a query for red apples that are not honey crisp or granny smith and are older than 5 months old
myQuery := `color:red AND NOT (type:"honey crisp" OR type:"granny smith") AND age_in_months:[5 TO *]`
filter , err := lucene . ToPostgres ( myQuery )
if err != nil {
    // handle error
}

SQLTemplate := `
SELECT *
FROM apples
WHERE %s
LIMIT 10;
`
sqlQuery := fmt . Sprintf ( SQLTemplate , filter )

// sqlQuery is:
`

SELECT *
FROM apples
WHERE
    (
		("color" = 'red') AND 
		(
			NOT(
				("type" = 'honey crisp') OR 
				("type" = 'granny smith')
			)
		)
	) AND 
	("age_in_months" >= 5)
LIMIT 10;
` 

参数化输入

 // suppose you want a query for red apples that are not honey crisp or granny smith and are older than 5 months old
myQuery := `color:red AND NOT (type:"honey crisp" OR type:"granny smith") AND age_in_months:[5 TO *]`
filter , params , err := lucene . ToParameterizedPostgres ( myQuery )
if err != nil {
    // handle error
}

SQLTemplate := `
SELECT *
FROM apples
WHERE %s
LIMIT 10;
`
sqlQuery := fmt . Sprintf ( SQLTemplate , filter )

db . Query ( sqlQuery , params )

默认字段

 myQuery := "red OR green"
filter , err := lucene . ToPostgres (
	myQuery , lucene . WithDefaultField ( "appleColor" ))
if err != nil {
    // handle error
}

SQLTemplate := `
SELECT *
FROM apples
WHERE %s
LIMIT 10;
`
sqlQuery := fmt . Sprintf ( SQLTemplate , filter )

// sqlQuery is:
`
SELECT *
FROM apples
WHERE
    ("appleColor" = 'red') OR ("appleColor" = 'green')
LIMIT 10;
` 

使用自定义驱动程序进行扩展

只需将Base驱动程序嵌入到您的自定义驱动程序中，并使用您自己的自定义渲染函数覆盖RenderFN即可。

 import (
	"github.com/grindlemire/go-lucene"
	"github.com/grindlemire/go-lucene/pkg/driver"
	"github.com/grindlemire/go-lucene/pkg/lucene/expr"
)

type MyDriver struct {
	driver. Base
}
// Suppose we want a customer driver that is postgres but uses "==" rather than "=" for an equality check.
func NewMyDriver () MyDriver {
	// register your new custom render functions. Each render function
	// takes a left and optionally right rendered string and returns the rendered
	// output string for the entire expression.
	fns := map [expr. Operator ]driver. RenderFN {
		expr . Equals : myEquals ,
	}

	// iterate over the existing base render functions and swap out any that you want to
	for op , sharedFN := range driver . Shared {
		_ , found := fns [ op ]
		if ! found {
			fns [ op ] = sharedFN
		}
	}

	// return the new driver ready to use
	return MyDriver {
		driver. Base {
			RenderFNs : fns ,
		},
	}
}

// Suppose we wanted to implement equals using a "==" operator instead of "="
func myEquals ( left , right string ) ( string , error ) {
	return left + " == " + right , nil
}

...
func main () {
	// create a new instance of the driver
	driver := NewMyDriver ()

	// render an expression
	expr , _ := lucene . Parse ( `color:red AND NOT (type:"honey crisp" OR type:"granny smith") AND age_in_months:[5 TO *]` )
	filter , _ := driver . Render ( expr )
	
	SQLTemplate := `
	SELECT *
	FROM apples
	WHERE %s
	LIMIT 10;
	`
	sqlQuery := fmt . Sprintf ( SQLTemplate , filter )

	// sqlQuery is:
	`

	SELECT *
	FROM apples
	WHERE
		(
			("color" == 'red') AND 
			(
				NOT(
					("type" == 'honey crisp') OR 
					("type" == 'granny smith')
				)
			)
		) AND 
		("age_in_months" >= 5)
	LIMIT 10;
	`
}