5.8 KiB
Quickstart
This parser is highly compatible with MySQL syntax. You can use it as a library, parse a text SQL into an AST tree, and traverse the AST nodes.
In this example, you will build a project, which can extract all the column names from a text SQL.
Prerequisites
- Golang version 1.13 or above. You can follow the instructions in the official installation page (check it by
go version)
Create a Project
mkdir colx
cd colx
go mod init colx
touch main.go
Import Dependencies
First, you need to use go get to fetch the dependencies through git hash. The git hashes are available in release page. Take v7.5.0 as an example:
go get -v github.com/pingcap/tidb/pkg/parser@069631e
Note
The parser was merged into TiDB repo since v5.3.0. So you can only choose version v5.3.0 or higher in this TiDB repo.
You may want to use advanced API on expressions (a kind of AST node), such as numbers, string literals, booleans, nulls, etc. It is strongly recommended using the
typespackage in TiDB repo with the following command:go get -v github.com/pingcap/tidb/pkg/types/parser_driver@069631eand import it in your golang source code:
import _ "github.com/pingcap/tidb/pkg/types/parser_driver"
Your directory should contain the following three files:
.
├── go.mod
├── go.sum
└── main.go
Now, open main.go with your favorite editor, and start coding!
Parse SQL text
To convert a SQL text to an AST tree, you need to:
- Use the
parser.New()function to instantiate a parser, and - Invoke the method
Parse(sql, charset, collation)on the parser.
package main
import (
"fmt"
"github.com/pingcap/tidb/pkg/parser"
"github.com/pingcap/tidb/pkg/parser/ast"
_ "github.com/pingcap/tidb/pkg/parser/test_driver"
)
func parse(sql string) (*ast.StmtNode, error) {
p := parser.New()
stmtNodes, _, err := p.ParseSQL(sql)
if err != nil {
return nil, err
}
return &stmtNodes[0], nil
}
func main() {
astNode, err := parse("SELECT a, b FROM t")
if err != nil {
fmt.Printf("parse error: %v\n", err.Error())
return
}
fmt.Printf("%v\n", *astNode)
}
Test the parser by running the following command:
go run main.go
If the parser runs properly, you should get a result like this:
&{{{{SELECT a, b FROM t}}} {[]} 0xc0000a1980 false 0xc00000e7a0 <nil> 0xc0000a19b0 <nil> <nil> [] <nil> <nil> none [] false false 0 <nil>}
Note
Here are a few things you might want to know:
To use a parser, a
parser_driveris required. It decides how to parse the basic data types in SQL.You can use
github.com/pingcap/tidb/pkg/parser/test_driveras theparser_driverfor test. Again, if you need advanced features, please use theparser_driverin TiDB (rungo get -v github.com/pingcap/tidb/types/parser_driver@069631eand import it).The instantiated parser object is not goroutine safe and not lightweight. It is better to keep it in a single goroutine, and reuse it if possible.
Warning: the
parser.resultobject is being reused without being properly reset or copied. This can cause unexpected behavior or errors if the object is used for multiple parsing operations or concurrently in multiple goroutines. To avoid these issues, make a copy ofparser.resultobject before callingparser.Parse()again or before using it in another goroutine, or create a newparserobject altogether for each new parsing operation.
Traverse AST Nodes
Now you get the AST tree root of a SQL statement. It is time to extract the column names by traverse.
Parser implements the interface ast.Node for each kind of AST node, such as SelectStmt, TableName, ColumnName, etc. ast.Node provides a method Accept(v Visitor) (node Node, ok bool) to allow any struct that has implemented ast.Visitor to traverse itself.
ast.Visitor is defined as follows:
type Visitor interface {
Enter(n Node) (node Node, skipChildren bool)
Leave(n Node) (node Node, ok bool)
}
Now you can define your own visitor, colX(columnExtractor):
type colX struct{
colNames []string
}
func (v *colX) Enter(in ast.Node) (ast.Node, bool) {
if name, ok := in.(*ast.ColumnName); ok {
v.colNames = append(v.colNames, name.Name.O)
}
return in, false
}
func (v *colX) Leave(in ast.Node) (ast.Node, bool) {
return in, true
}
Finally, wrap colX in a simple function:
func extract(rootNode *ast.StmtNode) []string {
v := &colX{}
(*rootNode).Accept(v)
return v.colNames
}
And slightly modify the main function:
func main() {
if len(os.Args) != 2 {
fmt.Println("usage: colx 'SQL statement'")
return
}
sql := os.Args[1]
astNode, err := parse(sql)
if err != nil {
fmt.Printf("parse error: %v\n", err.Error())
return
}
fmt.Printf("%v\n", extract(astNode))
}
Test your program:
go run main.go 'select a, b from t'
[a b]
You can also try a different SQL statement as an input. For example:
$ go run main.go 'SELECT a, b FROM t GROUP BY (a, b) HAVING a > c ORDER BY b'
[a b a b a c b]
$ go run main.go 'SELECT a, b FROM t/invalid_str'
parse error: line 1 column 19 near "/invalid_str"
Enjoy!