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
go get github.com/pganalyze/pg_query_go/v2@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.
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
Put the following in a new Go package, after having installed pg_query as above:
package main
import (
"fmt"
"github.com/pganalyze/pg_query_go"
)
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":130002,"stmts":[{"stmt":{"SelectStmt":{"targetList":[{"ResTarget":{"val":{"A_Const":{"val":{"Integer":{"ival":1}},"location":7}},"location":7}}],"limitOption":"LIMIT_OPTION_DEFAULT","op":"SETOP_NONE"}}}]}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/v2"
)
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().GetVal().GetInteger().Ival)
}You can find all the node types in the pg_query.pb.go Protobuf definition.
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/v2"
)
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.
Put the following in a new Go package, after having installed pg_query as above:
package main
import (
"fmt"
"github.com/pganalyze/pg_query_go/v2"
)
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":"found","datatype":{"PLpgSQL_type":{"typname":"UNKNOWN"}}}}],"action":{"PLpgSQL_stmt_block":{"lineno":2,"body":[{"PLpgSQL_stmt_if":{"lineno":3,"cond":{"PLpgSQL_expr":{"query":"SELECT v_version IS NULL"}},"then_body":[{"PLpgSQL_stmt_return":{"lineno":4,"expr":{"PLpgSQL_expr":{"query":"SELECT v_name"}}}}]}},{"PLpgSQL_stmt_return":{"lineno":6,"expr":{"PLpgSQL_expr":{"query":"SELECT v_name || '/' || v_version"}}}}]}}}}
]BenchmarkParseSelect1-4 1542726 7757 ns/op 1168 B/op 21 allocs/op
BenchmarkParseSelect2-4 496621 24027 ns/op 3184 B/op 63 allocs/op
BenchmarkParseCreateTable-4 231754 51624 ns/op 8832 B/op 157 allocs/op
BenchmarkParseSelect1Parallel-4 5451890 2213 ns/op 1168 B/op 21 allocs/op
BenchmarkParseSelect2Parallel-4 1711480 7067 ns/op 3184 B/op 63 allocs/op
BenchmarkParseCreateTableParallel-4 759412 16157 ns/op 8832 B/op 157 allocs/op
BenchmarkRawParseSelect1-4 2311986 5158 ns/op 192 B/op 5 allocs/op
BenchmarkRawParseSelect2-4 721333 16517 ns/op 384 B/op 5 allocs/op
BenchmarkRawParseCreateTable-4 328119 35675 ns/op 1248 B/op 5 allocs/op
BenchmarkRawParseSelect1Parallel-4 8378274 1412 ns/op 192 B/op 5 allocs/op
BenchmarkRawParseSelect2Parallel-4 2650692 4553 ns/op 384 B/op 5 allocs/op
BenchmarkRawParseCreateTableParallel-4 1000000 10335 ns/op 1248 B/op 5 allocs/op
BenchmarkFingerprintSelect1-4 5012028 2388 ns/op 112 B/op 4 allocs/op
BenchmarkFingerprintSelect2-4 2391704 5026 ns/op 112 B/op 4 allocs/op
BenchmarkFingerprintCreateTable-4 1304545 9601 ns/op 112 B/op 4 allocs/op
BenchmarkNormalizeSelect1-4 8767273 1360 ns/op 72 B/op 4 allocs/op
BenchmarkNormalizeSelect2-4 4465364 2756 ns/op 104 B/op 4 allocs/op
BenchmarkNormalizeCreateTable-4 2738284 4345 ns/op 184 B/op 4 allocs/op
Note that allocation counts exclude the cgo portion, so they are higher than shown here.
See benchmark_test.go for details on the benchmarks.
Copyright (c) 2015, Lukas Fittl [email protected]
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.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent