pganalyze / pg_query_go

Go library to parse and normalize SQL queries using the PostgreSQL query parser
BSD 3-Clause "New" or "Revised" License
664 stars 79 forks source link

pg_query_go GoDoc

Go version of https://github.com/pganalyze/pg_query

This Go library and its cgo extension use the actual PostgreSQL server source to parse SQL queries and return the internal PostgreSQL parse tree.

You can find further background to why a query's parse tree is useful here: https://pganalyze.com/blog/parse-postgresql-queries-in-ruby.html

Installation

go get github.com/pganalyze/pg_query_go/v5@latest

Due to compiling parts of PostgreSQL, the first time you build against this library it will take a bit longer.

Expect up to 3 minutes. You can use go build -x to see the progress.

Usage with Go modules

When integrating this library using Go modules, and using a vendor/ directory, you will need to explicitly copy over some of the C build files, since Go does not copy files in subfolders without .go files whilst vendoring.

The best way to do so is to use modvendor, and vendor your modules like this:

go mod vendor
go get -u github.com/goware/modvendor
modvendor -copy="**/*.c **/*.h **/*.proto" -v

Usage

Parsing a query into JSON

Put the following in a new Go package, after having installed pg_query as above:

package main

import (
    "fmt"

    pg_query "github.com/pganalyze/pg_query_go/v5"
)

func main() {
    tree, err := pg_query.ParseToJSON("SELECT 1")
    if err != nil {
        panic(err)
    }
    fmt.Printf("%s\n", tree)
}

Running will output the query's parse tree as JSON:

{"version":160001,"stmts":[{"stmt":{"SelectStmt":{"targetList":[{"ResTarget":{"val":{"A_Const":{"ival":{"ival":1},"location":7}},"location":7}}],"limitOption":"LIMIT_OPTION_DEFAULT","op":"SETOP_NONE"}}}]}

Parsing a query into Go structs

When working with the query information inside Go its recommended you use the Parse() method which returns Go structs:

package main

import (
    "fmt"

    pg_query "github.com/pganalyze/pg_query_go/v5"
)

func main() {
    result, err := pg_query.Parse("SELECT 42")
    if err != nil {
        panic(err)
    }

    // This will output "42"
    fmt.Printf("%d\n", result.Stmts[0].Stmt.GetSelectStmt().GetTargetList()[0].GetResTarget().GetVal().GetAConst().GetIval().Ival)
}

You can find all the node types in the pg_query.pb.go Protobuf definition.

Deparsing a parse tree back into a SQL statement

In order to go back from a parse tree to a SQL statement, you can use the deparsing functionality:

package main

import (
    "fmt"

    pg_query "github.com/pganalyze/pg_query_go/v5"
)

func main() {
    result, err := pg_query.Parse("SELECT 42")
    if err != nil {
        panic(err)
    }

    result.Stmts[0].Stmt.GetSelectStmt().GetTargetList()[0].GetResTarget().Val = pg_query.MakeAConstStrNode("Hello World", -1)

    stmt, err := pg_query.Deparse(result)
    if err != nil {
        panic(err)
    }
    fmt.Printf("%s\n", stmt)
}

This will output the following:

SELECT 'Hello World'

Note that it is currently not recommended to pass unsanitized input to the deparser, as it may lead to crashes.

Parsing a PL/pgSQL function into JSON (Experimental)

Put the following in a new Go package, after having installed pg_query as above:

package main

import (
    "fmt"

    pg_query "github.com/pganalyze/pg_query_go/v5"
)

func main() {
    tree, err := pg_query.ParsePlPgSqlToJSON(
        `CREATE OR REPLACE FUNCTION cs_fmt_browser_version(v_name varchar, v_version varchar)
            RETURNS varchar AS $$
            BEGIN
                IF v_version IS NULL THEN
                    RETURN v_name;
                END IF;
                RETURN v_name || '/' || v_version;
            END;
            $$ LANGUAGE plpgsql;`)
    if err != nil {
        panic(err)
    }
    fmt.Printf("%s\n", tree)
}

Running will output the functions's parse tree as JSON:

$ go run main.go
[
{"PLpgSQL_function":{"datums":[{"PLpgSQL_var":{"refname":"v_name","datatype":{"PLpgSQL_type":{"typname":"UNKNOWN"}}}},{"PLpgSQL_var":{"refname":"v_version","datatype":{"PLpgSQL_type":{"typname":"UNKNOWN"}}}},{"PLpgSQL_var":{"refname":"found","datatype":{"PLpgSQL_type":{"typname":"UNKNOWN"}}}}],"action":{"PLpgSQL_stmt_block":{"lineno":2,"body":[{"PLpgSQL_stmt_if":{"lineno":3,"cond":{"PLpgSQL_expr":{"query":"v_version IS NULL"}},"then_body":[{"PLpgSQL_stmt_return":{"lineno":4,"expr":{"PLpgSQL_expr":{"query":"v_name"}}}}]}},{"PLpgSQL_stmt_return":{"lineno":6,"expr":{"PLpgSQL_expr":{"query":"v_name || '/' || v_version"}}}}]}}}}
]

Benchmarks

$ make benchmark
go build -a
go test -test.bench=. -test.run=XXX -test.benchtime 10s -test.benchmem -test.cpu=4
goos: darwin
goarch: arm64
pkg: github.com/pganalyze/pg_query_go/v5
BenchmarkParseSelect1-4                      2945772          4234 ns/op        1104 B/op         20 allocs/op
BenchmarkParseSelect2-4                       798510         14618 ns/op        2896 B/op         59 allocs/op
BenchmarkParseCreateTable-4                   340454         33893 ns/op        8544 B/op        151 allocs/op
BenchmarkParseSelect1Parallel-4              9166213          1332 ns/op        1104 B/op         20 allocs/op
BenchmarkParseSelect2Parallel-4              2795493          4329 ns/op        2896 B/op         59 allocs/op
BenchmarkParseCreateTableParallel-4          1000000         10325 ns/op        8544 B/op        151 allocs/op
BenchmarkRawParseSelect1-4                   3775879          3186 ns/op         192 B/op          5 allocs/op
BenchmarkRawParseSelect2-4                   1000000         10708 ns/op         352 B/op          5 allocs/op
BenchmarkRawParseCreateTable-4                466368         25662 ns/op        1120 B/op          5 allocs/op
BenchmarkRawParseSelect1Parallel-4          13386709           894.4 ns/op       192 B/op          5 allocs/op
BenchmarkRawParseSelect2Parallel-4           4188447          2871 ns/op         352 B/op          5 allocs/op
BenchmarkRawParseCreateTableParallel-4       1758555          6809 ns/op        1120 B/op          5 allocs/op
BenchmarkFingerprintSelect1-4                6139764          1970 ns/op         112 B/op          4 allocs/op
BenchmarkFingerprintSelect2-4                2813995          4264 ns/op         112 B/op          4 allocs/op
BenchmarkFingerprintCreateTable-4            1668691          7194 ns/op         112 B/op          4 allocs/op
BenchmarkNormalizeSelect1-4                 10068253          1189 ns/op          72 B/op          4 allocs/op
BenchmarkNormalizeSelect2-4                  6039188          1981 ns/op         104 B/op          4 allocs/op
BenchmarkNormalizeCreateTable-4              4560278          2636 ns/op         184 B/op          4 allocs/op
PASS
ok      github.com/pganalyze/pg_query_go/v5 257.324s

Note that allocation counts exclude the cgo portion, so they are higher than shown here.

See benchmark_test.go for details on the benchmarks.

Authors

License

Copyright (c) 2015, Lukas Fittl lukas@fittl.com
pg_query_go is licensed under the 3-clause BSD license, see LICENSE file for details.

This project includes code derived from the PostgreSQL project, see LICENSE.POSTGRESQL for details.