mirror of
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158 lines
6 KiB
Markdown
158 lines
6 KiB
Markdown
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[![Go Reference](https://pkg.go.dev/badge/github.com/jackc/pgx/v5.svg)](https://pkg.go.dev/github.com/jackc/pgx/v5)
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![Build Status](https://github.com/jackc/pgx/actions/workflows/ci.yml/badge.svg)
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# pgx - PostgreSQL Driver and Toolkit
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pgx is a pure Go driver and toolkit for PostgreSQL.
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The pgx driver is a low-level, high performance interface that exposes PostgreSQL-specific features such as `LISTEN` /
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`NOTIFY` and `COPY`. It also includes an adapter for the standard `database/sql` interface.
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The toolkit component is a related set of packages that implement PostgreSQL functionality such as parsing the wire protocol
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and type mapping between PostgreSQL and Go. These underlying packages can be used to implement alternative drivers,
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proxies, load balancers, logical replication clients, etc.
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## Example Usage
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```go
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package main
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import (
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"context"
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"fmt"
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"os"
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"github.com/jackc/pgx/v5"
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)
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func main() {
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// urlExample := "postgres://username:password@localhost:5432/database_name"
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conn, err := pgx.Connect(context.Background(), os.Getenv("DATABASE_URL"))
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if err != nil {
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fmt.Fprintf(os.Stderr, "Unable to connect to database: %v\n", err)
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os.Exit(1)
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}
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defer conn.Close(context.Background())
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var name string
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var weight int64
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err = conn.QueryRow(context.Background(), "select name, weight from widgets where id=$1", 42).Scan(&name, &weight)
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if err != nil {
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fmt.Fprintf(os.Stderr, "QueryRow failed: %v\n", err)
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os.Exit(1)
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}
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fmt.Println(name, weight)
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}
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```
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See the [getting started guide](https://github.com/jackc/pgx/wiki/Getting-started-with-pgx) for more information.
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## Features
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* Support for approximately 70 different PostgreSQL types
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* Automatic statement preparation and caching
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* Batch queries
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* Single-round trip query mode
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* Full TLS connection control
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* Binary format support for custom types (allows for much quicker encoding/decoding)
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* `COPY` protocol support for faster bulk data loads
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* Tracing and logging support
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* Connection pool with after-connect hook for arbitrary connection setup
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* `LISTEN` / `NOTIFY`
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* Conversion of PostgreSQL arrays to Go slice mappings for integers, floats, and strings
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* `hstore` support
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* `json` and `jsonb` support
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* Maps `inet` and `cidr` PostgreSQL types to `netip.Addr` and `netip.Prefix`
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* Large object support
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* NULL mapping to pointer to pointer
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* Supports `database/sql.Scanner` and `database/sql/driver.Valuer` interfaces for custom types
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* Notice response handling
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* Simulated nested transactions with savepoints
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## Choosing Between the pgx and database/sql Interfaces
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The pgx interface is faster. Many PostgreSQL specific features such as `LISTEN` / `NOTIFY` and `COPY` are not available
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through the `database/sql` interface.
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The pgx interface is recommended when:
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1. The application only targets PostgreSQL.
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2. No other libraries that require `database/sql` are in use.
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It is also possible to use the `database/sql` interface and convert a connection to the lower-level pgx interface as needed.
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## Testing
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See CONTRIBUTING.md for setup instructions.
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## Supported Go and PostgreSQL Versions
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pgx supports the same versions of Go and PostgreSQL that are supported by their respective teams. For [Go](https://golang.org/doc/devel/release.html#policy) that is the two most recent major releases and for [PostgreSQL](https://www.postgresql.org/support/versioning/) the major releases in the last 5 years. This means pgx supports Go 1.19 and higher and PostgreSQL 11 and higher. pgx also is tested against the latest version of [CockroachDB](https://www.cockroachlabs.com/product/).
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## Version Policy
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pgx follows semantic versioning for the documented public API on stable releases. `v5` is the latest stable major version.
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## PGX Family Libraries
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### [github.com/jackc/pglogrepl](https://github.com/jackc/pglogrepl)
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pglogrepl provides functionality to act as a client for PostgreSQL logical replication.
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### [github.com/jackc/pgmock](https://github.com/jackc/pgmock)
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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).
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### [github.com/jackc/tern](https://github.com/jackc/tern)
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tern is a stand-alone SQL migration system.
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### [github.com/jackc/pgerrcode](https://github.com/jackc/pgerrcode)
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pgerrcode contains constants for the PostgreSQL error codes.
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## Adapters for 3rd Party Types
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* [github.com/jackc/pgx-gofrs-uuid](https://github.com/jackc/pgx-gofrs-uuid)
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* [github.com/jackc/pgx-shopspring-decimal](https://github.com/jackc/pgx-shopspring-decimal)
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* [github.com/vgarvardt/pgx-google-uuid](https://github.com/vgarvardt/pgx-google-uuid)
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## Adapters for 3rd Party Tracers
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* [https://github.com/jackhopner/pgx-xray-tracer](https://github.com/jackhopner/pgx-xray-tracer)
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## Adapters for 3rd Party Loggers
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These adapters can be used with the tracelog package.
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* [github.com/jackc/pgx-go-kit-log](https://github.com/jackc/pgx-go-kit-log)
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* [github.com/jackc/pgx-log15](https://github.com/jackc/pgx-log15)
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* [github.com/jackc/pgx-logrus](https://github.com/jackc/pgx-logrus)
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* [github.com/jackc/pgx-zap](https://github.com/jackc/pgx-zap)
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* [github.com/jackc/pgx-zerolog](https://github.com/jackc/pgx-zerolog)
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## 3rd Party Libraries with PGX Support
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### [github.com/georgysavva/scany](https://github.com/georgysavva/scany)
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Library for scanning data from a database into Go structs and more.
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### [https://github.com/otan/gopgkrb5](https://github.com/otan/gopgkrb5)
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Adds GSSAPI / Kerberos authentication support.
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### [github.com/wcamarao/pmx](https://github.com/wcamarao/pmx)
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Explicit data mapping and scanning library for Go structs and slices.
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### [github.com/stephenafamo/scan](https://github.com/stephenafamo/scan)
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Type safe and flexible package for scanning database data into Go types.
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Supports, structs, maps, slices and custom mapping functions.
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### [https://github.com/z0ne-dev/mgx](https://github.com/z0ne-dev/mgx)
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Code first migration library for native pgx (no database/sql abstraction).
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