This is the previous stable v4
release. v5
been released.
pgx - PostgreSQL Driver and Toolkit
pgx is a pure Go driver and toolkit for PostgreSQL.
pgx aims to be low-level, fast, and performant, while also enabling PostgreSQL-specific features that the standard database/sql
package does not allow for.
The driver component of pgx can be used alongside the standard database/sql
package.
The toolkit component is a related set of packages that implement PostgreSQL functionality such as parsing the wire protocol
and type mapping between PostgreSQL and Go. These underlying packages can be used to implement alternative drivers,
proxies, load balancers, logical replication clients, etc.
The current release of pgx v4
requires Go modules. To use the previous version, checkout and vendor the v3
branch.
Example Usage
package main
import (
"context"
"fmt"
"os"
"github.com/jackc/pgx/v4"
)
func main() {
conn, err := pgx.Connect(context.Background(), os.Getenv("DATABASE_URL"))
if err != nil {
fmt.Fprintf(os.Stderr, "Unable to connect to database: %v\n", err)
os.Exit(1)
}
defer conn.Close(context.Background())
var name string
var weight int64
err = conn.QueryRow(context.Background(), "select name, weight from widgets where id=$1", 42).Scan(&name, &weight)
if err != nil {
fmt.Fprintf(os.Stderr, "QueryRow failed: %v\n", err)
os.Exit(1)
}
fmt.Println(name, weight)
}
See the getting started guide for more information.
Choosing Between the pgx and database/sql Interfaces
It is recommended to use the pgx interface if:
- The application only targets PostgreSQL.
- No other libraries that require
database/sql
are in use.
The pgx interface is faster and exposes more features.
The database/sql
interface only allows the underlying driver to return or receive the following types: int64
,
float64
, bool
, []byte
, string
, time.Time
, or nil
. Handling other types requires implementing the
database/sql.Scanner
and the database/sql/driver/driver.Valuer
interfaces which require transmission of values in text format. The binary format can be substantially faster, which is what the pgx interface uses.
Features
pgx supports many features beyond what is available through database/sql
:
- Support for approximately 70 different PostgreSQL types
- Automatic statement preparation and caching
- Batch queries
- Single-round trip query mode
- Full TLS connection control
- Binary format support for custom types (allows for much quicker encoding/decoding)
- COPY protocol support for faster bulk data loads
- Extendable logging support including built-in support for
log15adapter
, logrus
, zap
, and zerolog
- Connection pool with after-connect hook for arbitrary connection setup
- Listen / notify
- Conversion of PostgreSQL arrays to Go slice mappings for integers, floats, and strings
- Hstore support
- JSON and JSONB support
- Maps
inet
and cidr
PostgreSQL types to net.IPNet
and net.IP
- Large object support
- NULL mapping to Null* struct or pointer to pointer
- Supports
database/sql.Scanner
and database/sql/driver.Valuer
interfaces for custom types - Notice response handling
- Simulated nested transactions with savepoints
Performance
There are three areas in particular where pgx can provide a significant performance advantage over the standard
database/sql
interface and other drivers:
- PostgreSQL specific types - Types such as arrays can be parsed much quicker because pgx uses the binary format.
- Automatic statement preparation and caching - pgx will prepare and cache statements by default. This can provide an
significant free improvement to code that does not explicitly use prepared statements. Under certain workloads, it can
perform nearly 3x the number of queries per second.
- Batched queries - Multiple queries can be batched together to minimize network round trips.
Testing
pgx tests naturally require a PostgreSQL database. It will connect to the database specified in the PGX_TEST_DATABASE
environment
variable. The PGX_TEST_DATABASE
environment variable can either be a URL or DSN. In addition, the standard PG*
environment
variables will be respected. Consider using direnv to simplify environment variable
handling.
Example Test Environment
Connect to your PostgreSQL server and run:
create database pgx_test;
Connect to the newly-created database and run:
create domain uint64 as numeric(20,0);
Now, you can run the tests:
PGX_TEST_DATABASE="host=/var/run/postgresql database=pgx_test" go test ./...
In addition, there are tests specific for PgBouncer that will be executed if PGX_TEST_PGBOUNCER_CONN_STRING
is set.
Supported Go and PostgreSQL Versions
pgx supports the same versions of Go and PostgreSQL that are supported by their respective teams. For Go that is the two most recent major releases and for PostgreSQL the major releases in the last 5 years. This means pgx supports Go 1.17 and higher and PostgreSQL 10 and higher. pgx also is tested against the latest version of CockroachDB.
Version Policy
pgx follows semantic versioning for the documented public API on stable releases. v4
is the latest stable major version.
PGX Family Libraries
pgx is the head of a family of PostgreSQL libraries. Many of these can be used independently. Many can also be accessed
from pgx for lower-level control.
pgconn
is a lower-level PostgreSQL database driver that operates at nearly the same level as the C library libpq
.
pgxpool
is a connection pool for pgx. pgx is entirely decoupled from its default pool implementation. This means that pgx can be used with a different pool or without any pool at all.
This is a database/sql
compatibility layer for pgx. pgx can be used as a normal database/sql
driver, but at any time, the native interface can be acquired for more performance or PostgreSQL specific functionality.
Over 70 PostgreSQL types are supported including uuid
, hstore
, json
, bytea
, numeric
, interval
, inet
, and arrays. These types support database/sql
interfaces and are usable outside of pgx. They are fully tested in pgx and pq. They also support a higher performance interface when used with the pgx driver.
pgproto3 provides standalone encoding and decoding of the PostgreSQL v3 wire protocol. This is useful for implementing very low level PostgreSQL tooling.
pglogrepl provides functionality to act as a client for PostgreSQL logical replication.
pgmock offers the ability to create a server that mocks the PostgreSQL wire protocol. This is used internally to test pgx by purposely inducing unusual errors. pgproto3 and pgmock together provide most of the foundational tooling required to implement a PostgreSQL proxy or MitM (such as for a custom connection pooler).
tern is a stand-alone SQL migration system.
pgerrcode contains constants for the PostgreSQL error codes.
3rd Party Libraries with PGX Support
Library for scanning data from a database into Go structs and more.
Adds GSSAPI / Kerberos authentication support.
Adds support for github.com/google/uuid
.