How do I use pgx with Go's standard database/sql interface?

pgx includes an adapter that allows it to work with database/sql, but note that PostgreSQL-specific features like COPY won't be available through this interface. You can use it like any other driver, and the README provides guidance on when to choose which interface.

pgx vs lib/pq: which driver is better for PostgreSQL in Go?

pgx is generally preferred for new projects due to its higher performance, better type support, and active development. lib/pq is more established but lacks advanced features like binary format and COPY protocol. pgx also offers a toolkit for building custom database tools.

How to handle connection pooling in pgx?

pgx provides a built-in connection pool via pgxpool with configurable settings and after-connect hooks for custom setup. It manages connections efficiently, supporting features like health checks and max connections, which is detailed in the documentation.

Does pgx support JSONB types and how do I map them?

Yes, pgx has built-in support for json and jsonb PostgreSQL types. They can be scanned into Go's interface{} or specific structs using encoding/json, with efficient binary encoding handled by the driver for faster serialization.

How to implement the COPY protocol for bulk data loads with pgx?

Use the CopyFrom method in the native pgx interface for fast bulk inserts via PostgreSQL's COPY protocol. Prepare data in a compatible format, and note that this feature isn't available through the database/sql adapter, as shown in examples in the README.

What are the performance benefits of pgx's native interface over database/sql?

The native pgx interface offers significant gains through binary data transfer, single-round trip queries, and statement caching, avoiding overhead from the standard interface. This makes it ideal for high-throughput applications, though it requires PostgreSQL-specific code.

pgx — Pure Go Driver for PostgreSQL

What is pgx?

pgx is a PostgreSQL driver and toolkit written in Go, designed to provide a high-performance, low-level interface to PostgreSQL databases. It solves the need for efficient database interactions in Go applications by exposing PostgreSQL-specific features like `LISTEN`/`NOTIFY` and `COPY` while also supporting the standard `database/sql` interface.

Target Audience

Go developers building applications that rely on PostgreSQL, especially those needing optimized performance, PostgreSQL-specific functionality, or tools for implementing database proxies, load balancers, or logical replication clients.

Value Proposition

Developers choose pgx for its superior performance over generic SQL drivers, direct access to PostgreSQL features, and its comprehensive toolkit that enables advanced database tooling beyond simple query execution.

PostgreSQL driver and toolkit for Go

Use Cases

Best For

Building high-performance Go applications that exclusively use PostgreSQL
Implementing PostgreSQL logical replication clients or proxies
Utilizing PostgreSQL-specific features like LISTEN/NOTIFY or COPY for bulk data
Developing custom database drivers or load balancers for PostgreSQL
Applications requiring binary format support for faster data encoding/decoding
Projects that need a connection pool with custom setup hooks

Not Ideal For

Applications requiring multi-database support or easy switching between different SQL databases
Teams relying on full-featured ORMs that abstract away direct SQL and database-specific details
Projects where developers prioritize simplicity and minimal setup over performance optimizations

Pros & Cons

Pros

Native PostgreSQL Features

Direct support for PostgreSQL-specific features like LISTEN/NOTIFY and COPY protocol, enabling real-time notifications and efficient bulk data operations without workarounds.

High Performance Design

Uses binary format for custom types and automatic statement caching, reducing latency and improving throughput compared to text-based drivers.

Comprehensive Type Support

Supports approximately 70 PostgreSQL types with built-in mappings for complex types like hstore, jsonb, and inet/cidr, simplifying data handling.

Advanced Tooling Foundation

Includes underlying packages for parsing the wire protocol and type mapping, allowing developers to build custom drivers, proxies, or replication clients.

Cons

PostgreSQL Lock-in

Exclusively designed for PostgreSQL, making it unsuitable for applications that need database agnosticism or might migrate to other database systems.

Complexity for Simple Use Cases

The low-level interface and plethora of features can be overkill for straightforward CRUD applications, adding unnecessary learning and setup overhead.

Dependency on Third-Party Adapters

For certain types or logging integrations, separate adapter libraries are required, which can complicate dependency management and increase maintenance effort.

Frequently Asked Questions

What is pgx?

Target Audience

Value Proposition

Use Cases

Best For

Building high-performance Go applications that exclusively use PostgreSQL
Implementing PostgreSQL logical replication clients or proxies
Utilizing PostgreSQL-specific features like LISTEN/NOTIFY or COPY for bulk data
Developing custom database drivers or load balancers for PostgreSQL
Applications requiring binary format support for faster data encoding/decoding
Projects that need a connection pool with custom setup hooks

Not Ideal For

Applications requiring multi-database support or easy switching between different SQL databases
Teams relying on full-featured ORMs that abstract away direct SQL and database-specific details
Projects where developers prioritize simplicity and minimal setup over performance optimizations

Pros & Cons

Pros

Native PostgreSQL Features

Direct support for PostgreSQL-specific features like LISTEN/NOTIFY and COPY protocol, enabling real-time notifications and efficient bulk data operations without workarounds.

High Performance Design

Uses binary format for custom types and automatic statement caching, reducing latency and improving throughput compared to text-based drivers.

Comprehensive Type Support

Supports approximately 70 PostgreSQL types with built-in mappings for complex types like hstore, jsonb, and inet/cidr, simplifying data handling.

Advanced Tooling Foundation

Includes underlying packages for parsing the wire protocol and type mapping, allowing developers to build custom drivers, proxies, or replication clients.

Cons

PostgreSQL Lock-in

Exclusively designed for PostgreSQL, making it unsuitable for applications that need database agnosticism or might migrate to other database systems.

Complexity for Simple Use Cases

The low-level interface and plethora of features can be overkill for straightforward CRUD applications, adding unnecessary learning and setup overhead.

Dependency on Third-Party Adapters

For certain types or logging integrations, separate adapter libraries are required, which can complicate dependency management and increase maintenance effort.

Frequently Asked Questions

pgx

What is pgx?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?

pgx

What is pgx?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?