Awesome

MyZql

• MySQL and MariaDB driver in native zig

Status

• Beta

Version Compatibility

Features

• Native Zig code, no external dependencies
• TCP protocol
• Prepared Statement
• Structs from query result
• Data insertion
• MySQL DateTime and Time support

Requirements

• MySQL/MariaDB 5.7.5 and up

TODOs

• Config from URL
• Connection Pooling
• TLS support

Add as dependency to your Zig project

• build.zig

    //...
    const myzql_dep = b.dependency("myzql", .{});
    const myzql = myzql_dep.module("myzql");
    exe.addModule("myzql", myzql);
    //...

• build.zig.zon

    // ...
    .dependencies = .{
      .myzql = .{
        // choose a tag according to "Version Compatibility" table
        .url = "https://github.com/speed2exe/myzql/archive/refs/tags/0.13.2.tar.gz",
        .hash = "1220582ea45580eec6b16aa93d2a9404467db8bc1d911806d367513aa40f3817f84c",
      }
    },
    // ...

Usage

• Project integration example: Usage

Connection

const myzql = @import("myzql");
const Conn = myzql.conn.Conn;

pub fn main() !void {
    // Setting up client
    var client = try Conn.init(
        allocator,
        &.{
            .username = "some-user",   // default: "root"
            .password = "password123", // default: ""
            .database = "customers",   // default: ""

            // Current default value.
            // Use std.net.getAddressList if you need to look up ip based on hostname
            .address =  std.net.Address.initIp4(.{ 127, 0, 0, 1 }, 3306),
            // ...
        },
    );
    defer client.deinit();

    // Connection and Authentication
    try client.ping();
}

Querying

const OkPacket = protocol.generic_response.OkPacket;

pub fn main() !void {
    // ...
    // You can do a text query (text protocol) by using `query` method on `Conn`
    const result = try c.query("CREATE DATABASE testdb");

    // Query results can have a few variant:
    // - ok:   OkPacket     => query is ok
    // - err:  ErrorPacket  => error occurred
    // In this example, res will either be `ok` or `err`.
    // We are using the convenient method `expect` for simplified error handling.
    // If the result variant does not match the kind of result you have specified,
    // a message will be printed and you will get an error instead.
    const ok: OkPacket = try result.expect(.ok);

    // Alternatively, you can also handle results manually for more control.
    // Here, we do a switch statement to handle all possible variant or results.
    switch (result.value) {
        .ok => |ok| {},

        // `asError` is also another convenient method to print message and return as zig error.
        // You may also choose to inspect individual fields for more control.
        .err => |err| return err.asError(),
    }
}

Querying returning rows (Text Results)

• If you want to have query results to be represented by custom created structs, this is not the section, scroll down to "Executing prepared statements returning results" instead.

const myzql = @import("myzql");
const QueryResult = myzql.result.QueryResult;
const ResultSet = myzql.result.ResultSet;
const ResultRow = myzql.result.ResultRow;
const TextResultRow = myzql.result.TextResultData;
const ResultSetIter = myzql.result.ResultSetIter;
const TableTexts = myzql.result.TableTexts;
const TextElemIter = myzql.result.TextElemIter;

pub fn main() !void {
    const result = try c.queryRows("SELECT * FROM customers.purchases");

    // This is a query that returns rows, you have to collect the result.
    // you can use `expect(.rows)` to try interpret query result as ResultSet(TextResultRow)
    const rows: ResultSet(TextResultRow) = try query_res.expect(.rows);

    // Allocation free interators
    const rows_iter: ResultRowIter(TextResultRow) = rows.iter();
    { // Option 1: Iterate through every row and elem
        while (try rows_iter.next()) |row| { // ResultRow(TextResultRow)
            var elems_iter: TextElemIter = row.iter();
            while (elems_iter.next()) |elem| { // ?[] const u8
                std.debug.print("{?s} ", .{elem});
            }
        }
    }
    { // Option 2: Iterating over rows, collecting elements into []const ?[]const u8
        while (try rows_iter.next()) |row| {
            const text_elems: TextElems = try row.textElems(allocator);
            defer text_elems.deinit(allocator); // elems are valid until deinit is called
            const elems: []const ?[]const u8 = text_elems.elems;
            std.debug.print("elems: {any}\n", .{elems});
        }
    }

    // You can also use `collectTexts` method to collect all rows.
    // Under the hood, it does network call and allocations, until EOF or error
    // Results are valid until `deinit` is called on TableTexts.
    const rows: ResultSet(TextResultRow) = try query_res.expect(.rows);
    const table = try rows.tableTexts(allocator);
    defer table.deinit(allocator); // table is valid until deinit is called
    std.debug.print("table: {any}\n", .{table.table});
}

Data Insertion

• Let's assume that you have a table of this structure:

CREATE TABLE test.person (
    id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
    name VARCHAR(255),
    age INT
)

const myzql = @import("myzql");
const QueryResult = myzql.result.QueryResult;
const PreparedStatement = myzql.result.PreparedStatement;
const OkPacket = myzql.protocol.generic_response.OkPacket;

pub fn main() void {
    // In order to do a insertion, you would first need to do a prepared statement.
    // Allocation is required as we need to store metadata of parameters and return type
    const prep_res = try c.prepare(allocator, "INSERT INTO test.person (name, age) VALUES (?, ?)");
    defer prep_res.deinit(allocator);
    const prep_stmt: PreparedStatement = try prep_res.expect(.stmt);

    // Data to be inserted
    const params = .{
        .{ "John", 42 },
        .{ "Sam", 24 },
    };
    inline for (params) |param| {
        const exe_res = try c.execute(&prep_stmt, param);
        const ok: OkPacket = try exe_res.expect(.ok); // expecting ok here because there's no rows returned
        const last_insert_id: u64 = ok.last_insert_id;
        std.debug.print("last_insert_id: {any}\n", .{last_insert_id});
    }

    // Currently only tuples are supported as an argument for insertion.
    // There are plans to include named structs in the future.
}

Executing prepared statements returning results as structs

const ResultSetIter = myzql.result.ResultSetIter;
const QueryResult = myzql.result.QueryResult;
const BinaryResultRow = myzql.result.BinaryResultRow;
const TableStructs = myzql.result.TableStructs;
const ResultSet = myzql.result.ResultSet;

fn main() !void {
    const prep_res = try c.prepare(allocator, "SELECT name, age FROM test.person");
    defer prep_res.deinit(allocator);
    const prep_stmt: PreparedStatement = try prep_res.expect(.stmt);

    // This is the struct that represents the columns of a single row.
    const Person = struct {
        name: []const u8,
        age: u8,
    };

    // Execute query and get an iterator from results
    const res: QueryResult(BinaryResultRow) = try c.executeRows(&prep_stmt, .{});
    const rows: ResultSet(BinaryResultRow) = try res.expect(.rows);
    const iter: ResultSetIter(BinaryResultRow) = rows.iter();

    { // Iterating over rows, scanning into struct or creating struct
        const query_res = try c.executeRows(&prep_stmt, .{}); // no parameters because there's no ? in the query
        const rows: ResultSet(BinaryResultRow) = try query_res.expect(.rows);
        const rows_iter = rows.iter();
        while (try rows_iter.next()) |row| {
            { // Option 1: scanning into preallocated person
                var person: Person = undefined;
                try row.scan(&person);
                person.greet();
                // Important: if any field is a string, it will be valid until the next row is scanned
                // or next query. If your rows return have strings and you want to keep the data longer,
                // use the method below instead.
            }
            { // Option 2: passing in allocator to create person
                const person_ptr = try row.structCreate(Person, allocator);

                // Important: please use BinaryResultRow.structDestroy
                // to destroy the struct created by BinaryResultRow.structCreate
                // if your struct contains strings.
                // person is valid until BinaryResultRow.structDestroy is called.
                defer BinaryResultRow.structDestroy(person_ptr, allocator);
                person_ptr.greet();
            }
        }
    }

    { // collect all rows into a table ([]const Person)
        const query_res = try c.executeRows(&prep_stmt, .{}); // no parameters because there's no ? in the query
        const rows: ResultSet(BinaryResultRow) = try query_res.expect(.rows);
        const rows_iter = rows.iter();
        const person_structs = try rows_iter.tableStructs(Person, allocator);
        defer person_structs.deinit(allocator); // data is valid until deinit is called
        std.debug.print("person_structs: {any}\n", .{person_structs.struct_list.items});
    }
}

Temporal Types Support (DateTime, Time)

• Example of using DateTime and Time MySQL column types.
• Let's assume you already got this table set up:

CREATE TABLE test.temporal_types_example (
    event_time DATETIME(6) NOT NULL,
    duration TIME(6) NOT NULL
)

const DateTime = myzql.temporal.DateTime;
const Duration = myzql.temporal.Duration;

fn main() !void {
    { // Insert
        const prep_res = try c.prepare(allocator, "INSERT INTO test.temporal_types_example VALUES (?, ?)");
        defer prep_res.deinit(allocator);
        const prep_stmt: PreparedStatement = try prep_res.expect(.stmt);

        const my_time: DateTime = .{
            .year = 2023,
            .month = 11,
            .day = 30,
            .hour = 6,
            .minute = 50,
            .second = 58,
            .microsecond = 123456,
        };
        const my_duration: Duration = .{
            .days = 1,
            .hours = 23,
            .minutes = 59,
            .seconds = 59,
            .microseconds = 123456,
        };
        const params = .{.{ my_time, my_duration }};
        inline for (params) |param| {
            const exe_res = try c.execute(&prep_stmt, param);
            _ = try exe_res.expect(.ok);
        }
    }

    { // Select
        const DateTimeDuration = struct {
            event_time: DateTime,
            duration: Duration,
        };
        const prep_res = try c.prepare(allocator, "SELECT * FROM test.temporal_types_example");
        defer prep_res.deinit(allocator);
        const prep_stmt: PreparedStatement = try prep_res.expect(.stmt);
        const res = try c.executeRows(&prep_stmt, .{});
        const rows: ResultSet(BinaryResultRow) = try res.expect(.rows);
        const rows_iter = rows.iter();

        const structs = try rows_iter.tableStructs(DateTimeDuration, allocator);
        defer structs.deinit(allocator);
        std.debug.print("structs: {any}\n", .{structs.struct_list.items}); // structs.rows: []const DateTimeDuration
        // Do something with structs
    }
}

Unit Tests

• zig test src/myzql.zig

Integration Tests

• Start up mysql/mariadb in docker:

# MySQL
docker run --name some-mysql --env MYSQL_ROOT_PASSWORD=password -p 3306:3306 -d mysql
```bash
# MariaDB
docker run --name some-mariadb --env MARIADB_ROOT_PASSWORD=password -p 3306:3306 -d mariadb

• Run all the test: In root directory of project:

zig build -Dtest-filer='...' integration_test

Philosophy

Correctness

Focused on correct representation of server client protocol.

Low-level and High-level APIs

Low-level apis should contain all functionality you need. High-level apis are built on top of low-level ones for convenience and developer ergonomics.

Binary Column Types support

• MySQL Colums Types to Zig Values

- Null -> ?T
- Int -> u64, u32, u16, u8
- Float -> f32, f64
- String -> []u8, []const u8, enum