ClickHouse SQL Parser

The goal of this project is to build a ClickHouse SQL parser in Go with the following key features:

• Parse ClickHouse SQL into AST
• Beautify ClickHouse SQL format

This project is inspired by memefish which is a SQL parser for Spanner in Go.

How to use

You can use it as your Go library or CLI tool, see the following examples:

• Use clickhouse-sql-parser as a Go library

package main

import (
    clickhouse "github.com/AfterShip/clickhouse-sql-parser/parser"
)

query := "SELECT * FROM clickhouse"
parser := clickhouse.NewParser(query)
// Parse query into AST
statements, err := parser.ParseStmts()
if err != nil {
    return nil, err
}

• Install clickhouse-sql-parser as a CLI tool

On Linux:

$ go install github.com/AfterShip/clickhouse-sql-parser@latest

On macOS:

$ brew install clickhouse-sql-parser

Parse ClickHouse SQL into AST or beautify ClickHouse SQL format:

## Parse query into AST
$ clickhouse-sql-parser "SELECT * FROM clickhouse WHERE a=100"

## Beautify query
$ clickhouse-sql-parser -format "SELECT * FROM clickhouse WHERE a=100"

## Parse query from file
$ clickhouse-sql-parser -file ./test.sql

• Parsed tree(AST) back into a SQL statement

parser := clickhouse.NewParser("SELECT * FROM clickhouse")
// Parse query into AST
statements, err := parser.ParseStmts()
if err != nil {
    return nil, err
}

// Call the String method to unparsed AST into a SQL string
for _, stmt := range statements {
  fmt.Println(stmt.String())
}

Update test assets

For the files inside output and format dir are generated by the test cases,

if you want to update them, you can run the following command:

$ make update_test

Contact us

Feel free to open an issue or discussion if you have any issues or questions.