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VEF Protocol 3 is stable as of v0.0.4. Protocol 4 is under development and is available only via opt-in dev ABI headers (-DVSQL_USE_DEV_ABI=ON). Extensions built against the old Protocol 2 are rejected by the server and must be rebuilt.

Overview

VillageSQL’s extension framework (VEF) lets you add custom functionality to the database server. This guide walks through building an extension in C++ using the C++ SDK and the extension template. For writing VDF implementations in depth — argument and result types, aggregates, system variables, parameterized types — see the Development Guide.
If you prefer Rust, see Creating Extensions in Rust.

What is a VillageSQL Extension?

A VillageSQL extension is packaged as a VEB file (VillageSQL Extension Bundle) containing:
  • Manifest - Metadata about the extension (name, version, description)
  • Shared library - Compiled C++ code implementing the functionality
  • Optional metadata - Additional resources or configuration
C++ extensions are built using the C++ SDK, the C++ binding for VEF (the VillageSQL Extension Framework). It provides:
  • C++ API for defining types and functions
  • Automatic registration without SQL scripts
  • Type-safe argument and result types
  • Builder pattern for extension definition
VDFs vs Traditional UDFs: Functions registered through VEF are called VDFs (VillageSQL Defined Functions). VillageSQL also supports traditional MySQL UDFs registered via CREATE FUNCTION ... SONAME, but VDFs are recommended for new extensions.

Calling VDFs in SQL

VDFs can be called with or without the extension prefix:
Function Resolution Order: When you call a function without qualification, VillageSQL resolves it in this order:
  1. System functions (built-in MySQL functions like NOW(), CONCAT())
  2. UDFs (traditional MySQL user-defined functions)
  3. VDFs (extension functions) - only if there’s exactly one function with that name
  4. Stored functions (created with CREATE FUNCTION)
When to Use Qualified Names:
  • Use extension.function_name when multiple extensions provide functions with the same name
  • Use unqualified names for cleaner code when there’s no ambiguity
  • Qualification is never required if only one extension provides that function name
Extensions can add:
  • Custom functions (VDFs) - SQL functions with automatic type checking and validation
  • Custom data types - New column types like COMPLEX, UUID, or VECTOR that work with ORDER BY and indexes
  • Type operations - Encode, decode, compare, and hash functions for custom types

Prerequisites

Before you begin, you need the VillageSQL Extension SDK, and there are two ways to point CMake at one. If you have a VillageSQL build tree, pass -DVillageSQL_BUILD_DIR=/path/to/villagesql/build — the Build from Source guide produces that tree. If you have an unpacked SDK directory — one containing include/villagesql/vsql.h — that is enough on its own: pass -DVillageSQL_SDK_DIR=/path/to/sdk. The extension template README covers how to get an SDK without building the server. Only the build-tree form sets a VEB install directory, so on the SDK-only path copy the built VEB file yourself into the directory SHOW VARIABLES LIKE 'veb_dir' reports. You also need:
  • Git - For cloning and version control
  • CMake 3.18 or higher - Build system
  • C++ Compiler - With C++17 support: the template sets CMAKE_CXX_STANDARD 17, and the SDK’s CMake package rejects a lower standard
  • Basic C++ knowledge - Understanding of C++ and function pointers
Building with an AI agent? The vsql-extension-builder skill automates this entire workflow — from scaffolding to testing — using Claude Code, Gemini, or other supported agents. Install it with:

Step 1: Get the Extension Template

You can start with the extension template in two ways:

Option A: Use Template from VillageSQL Source

If you have VillageSQL source code, the template is included:

Option B: Fork from GitHub

Start by forking the VillageSQL extension template repository:
  1. Visit the template repository on GitHub:
  2. Click the “Fork” button to create your own copy
  3. Clone your fork locally:
Alternatively, use the “Use this template” button on GitHub to create a new repository based on the template without forking history.

Step 2: Update the Manifest

Edit manifest.json to define your extension’s metadata:
The $schema field is optional but enables IDE autocomplete and inline validation for all manifest fields.

manifest.json Schema

Validation rules:
  • name: Must start with a letter and end with a letter or digit. May contain lowercase letters, digits, underscores, and hyphens. Max 64 characters. Use underscores — hyphens require backtick quoting in SQL.
  • version: Must follow semantic versioning (e.g., 1.0.0, 0.2.1)
  • Invalid manifest will cause INSTALL EXTENSION to fail
Example:
For the full naming convention across SQL, filenames, and repository names, see Extension Naming Conventions.

Step 3: Implement Your Extension with the C++ SDK

The C++ SDK provides a C++ API for defining extensions using a fluent builder pattern:
  • Type-safe function definitions with compile-time checking
  • Automatic argument validation and type conversion
  • Support for custom types with compare/hash functions (enables ORDER BY and indexes)

Include VillageSQL Headers

Create your main extension file (e.g., src/extension.cc) and include the C++ SDK headers:
The <villagesql/vsql.h> header pulls in the type builder, function builder, and extension builder, and re-exports commonly used symbols into the vsql namespace.

Define Your Extension

Use the VEF_GENERATE_ENTRY_POINTS() macro to define your extension:
Function Builder Methods:
  • make_func<&impl>("name") - Create function with implementation pointer
  • .returns(type) - Set return type (STRING, INT, REAL, or custom type name)
  • .param(type) - Add parameter (maximum 8 parameters)
  • .buffer_size(size_t) - Request specific output buffer size for STRING/CUSTOM returns
  • .max_result_length(size_t) - Size the result column for a STRING return so a materialized result isn’t truncated at the argument width. Values above VEF_MAX_RESULT_LENGTH (16 MiB) are capped by the server. STRING only; call .returns(STRING) first. Requires Protocol 4 (dev ABI).
  • .deterministic(bool = true) - Declare that this function always returns the same output for the same inputs and has no side effects. Default is non-deterministic.
  • .prerun<func>() - Set per-statement setup function (optional)
  • .postrun<func>() - Set per-statement cleanup function (optional)
  • .build() - Finalize function registration
Parameter Limit: Functions support a maximum of 8 parameters (defined by kMaxParams). If you need more, consider using structured types or multiple functions.

VDFs with Custom Type Arguments and Return Values

A VDF can take and return custom type values using .param(TYPE_NAME) and .returns(TYPE_NAME) in the builder. The implementation uses CustomArg for input and CustomResult for output — the same argument and result types used for type operations:
Register with .param(COMPLEX) and .returns(COMPLEX):
See the development guide for the full CustomArg/CustomResult API, including CustomArgWith<P> and CustomResultWith<P> for parameterized types.

Deterministic Functions

By default, VDFs are registered as non-deterministic. A non-deterministic function is blocked from three SQL contexts: generated columns, CHECK constraints, and expression default values (DEFAULT (expr) on a column) — using any of these features with a non-deterministic VDF returns an error. If your function always produces the same output for the same inputs and has no side effects, you can declare it deterministic by adding .deterministic() to the builder chain. The optimizer may use this information to evaluate the function once per statement and reuse the value across rows, rather than calling it per row. Incorrectly marking a non-deterministic function as deterministic can therefore cause the server to return the same result for inputs that should produce different outputs. Only add .deterministic() when your function truly has no dependency on external state, randomness, or time. Builder signature: .deterministic(bool d = true) — the zero-argument form defaults to true. Example:
Because complex_add is declared deterministic, it can be used in a generated column definition:

Custom Buffer Sizes

For functions returning variable-length data, request a specific buffer size:
When you build the value yourself with buffer() and set_length(), never write past buffer().size() — that overflows memory. But do not fail on a value that is too large either: report the size you would have written and let the server grow the buffer and call you again.
For STRING results, out.set(sv) follows an snprintf-style overflow contract: it copies as many bytes as fit in out.buffer(), but reports the value’s full size. The server detects that the reported length exceeds the buffer, grows the buffer, and calls the function a second time — so a value larger than .buffer_size() is returned whole rather than truncated. One retry always suffices, because the reported length says exactly how large the buffer must be. Growth is bounded by max_allowed_packet. A value larger than that is returned as NULL, not truncated. Writing into out.buffer() and calling out.set_length() yourself participates in the same contract: report the full size you would have written, not the number of bytes that fit. Reporting the truncated length defeats the retry and silently drops the remainder. That contract applies at row time. A materialized STRING result — in a GROUP BY/DISTINCT temp table, CREATE TABLE ... SELECT, or UNION — still truncates at the argument width unless the function declares .max_result_length(n), which sizes the result column (in characters, capped at VEF_MAX_RESULT_LENGTH, 16 MiB):
Request sufficient buffer size via .buffer_size() based on your function’s maximum output size. Sizing the buffer correctly avoids the cost of a grow-and-retry round trip.
Before implementing your functions, review the C++ API Reference for the complete VDF contracts: null checking, result types, buffer sizing, and error handling.

Step 4: Creating Custom Types

Custom types let you define new column types — like COMPLEX, UUID, or VECTOR — that work with ORDER BY, indexes, and aggregate functions. If your extension only registers functions, skip to Step 5. See Custom Types in C++ for the full implementation walkthrough. If your type takes parameters (e.g., VECTOR(1536)), see Parameterized Types.

Step 5: Update Build Configuration

Edit CMakeLists.txt to build your extension as a VEB file:
Configuration notes:
  • VillageSQLExtensionFramework provides CMake helpers for building extensions
  • VEF_CREATE_VEB() packages your library, manifest, and metadata into a .veb archive
  • The framework automatically detects MySQL/VillageSQL build flags
  • Library target name is typically extension (can be anything)
  • VEB name must match your manifest.json name
  • By default, extensions build against the stable ABI headers. Set -DVSQL_USE_DEV_ABI=ON to build against the unstable dev headers instead

Step 6: Create a Build Directory

Create a separate build directory:

Step 7: Build with CMake and Make

Configure and build your extension:
This creates:
  • Compiled shared library (.so file)
  • VEB package (.veb file) - a tar archive containing manifest and library

Verify the Build

Check the contents of your VEB file:
You should see:

Step 8: Install and Test

Option A: Install to VillageSQL Extensions Directory

Use the install target to copy the VEB to your VillageSQL installation:
This copies the .veb file to the directory configured via VillageSQL_VEB_INSTALL_DIR.

Option B: Manual Installation

Copy the VEB file manually:

Test Your Extension

  1. Connect to VillageSQL:
  2. Install the extension:
  3. Verify installation:
  4. Test your functions:

Creating Tests

Add test files to validate your extension works correctly:
  1. Create a test file in mysql-test/t/:
  2. Generate expected results:
  3. Run tests:

Troubleshooting

Extension Won’t Load

Check the error log and verify the VEB contents:

Function Not Found

Verify installation and registration:

Build Errors

Example Extensions

Learn from existing VillageSQL extensions:

vsql_complex

Complex number data type implementation

vsql_extension_template

Minimal template for creating extensions

Next Steps

Using Extensions

Learn how to install and manage extensions

Development Guide

Argument and result types, aggregates, system variables, and testing

Extension Architecture

Lifecycle, caching, performance, and security model

Build from Source

Build VillageSQL from source code

Resources