ddbc 0.5.1

DB Connector for D language, similar to JDBC (mysql, sqlite, postgresql, odbc)

To use this package, run the following command in your project's root directory:

Manual usage
Put the following dependency into your project's dependences section:



Build Status

DDBC is DB Connector for D language (similar to JDBC)

Currently supports MySQL, PostgreSQL, SQLite and ODBC.

Project homepage: https://github.com/buggins/ddbc Documentation: https://github.com/buggins/ddbc/wiki

See also: https://github.com/buggins/hibernated - ORM for D language which uses DDBC.

NOTE: project has been moved from SourceForge to GitHub


import ddbc;
import std.stdio;
import std.conv;

int main(string[] args) {

    // provide URL for proper type of DB
    string url = "postgresql://localhost:5432/ddbctestdb?user=ddbctest,password=ddbctestpass,ssl=true";
    //string url = "mysql://localhost:3306/ddbctestdb?user=ddbctest,password=ddbctestpass";
    //string url = "sqlite:testdb.sqlite";

    // creating Connection
    auto conn = createConnection(url);
    scope(exit) conn.close();

    // creating Statement
    auto stmt = conn.createStatement();
    scope(exit) stmt.close();

    // execute simple queries to create and fill table
    stmt.executeUpdate("DROP TABLE ddbct1");
    stmt.executeUpdate("CREATE TABLE ddbct1 
                    (id bigint not null primary key, 
                     name varchar(250),
                     comment text,
                     ts datetime)");
    stmt.executeUpdate("INSERT INTO ddbct1 (id, name, comment, ts) VALUES
                        (1, 'name1', 'comment for line 1', '2016/09/14 15:24:01')");
    stmt.executeUpdate("INSERT INTO ddbct1 (id, name, comment) VALUES
                        (2, 'name2', 'comment for line 2 - can be very long')");
    stmt.executeUpdate("INSERT INTO ddbct1 (id, name) values(3, 'name3')"); // comment is null here

    // reading DB
    auto rs = stmt.executeQuery("SELECT id, name name_alias, comment, ts FROM ddbct1 ORDER BY id");
    while (rs.next())
        writeln(to!string(rs.getLong(1)), "\t", rs.getString(2), "\t", rs.getString(3), "\t", rs.getString(4));
    return 0;

Module ddbc.pods implement SELECT support for POD structs (plain old data).

Instead of manual reading fields one by one, it's possible to put result set value to struct fields, and generate select statements automatically.

Sample of easy reading from DB using PODs support:

import ddbc;
import std.stdio;

// provide URL for proper type of DB
//string url = "postgresql://localhost:5432/ddbctestdb?user=ddbctest,password=ddbctestpass,ssl=true";
//string url = "mysql://localhost:3306/ddbctestdb?user=ddbctest,password=ddbctestpass";
string url = "sqlite:testdb.sqlite";
// creating Connection
auto conn = createConnection(url);
scope(exit) conn.close();
Statement stmt = conn.createStatement();
scope(exit) stmt.close();
// fill database with test data
stmt.executeUpdate(`DROP TABLE IF EXISTS user_data`);
stmt.executeUpdate(`CREATE TABLE user_data (id INTEGER PRIMARY KEY, name VARCHAR(255) NOT NULL, flags int null)`);
stmt.executeUpdate(`INSERT INTO user_data (id, name, flags) VALUES (1, 'John', 5), (2, 'Andrei', 2), (3, 'Walter', 2), (4, 'Rikki', 3), (5, 'Iain', 0), (6, 'Robert', 1)`);

// our POD object
struct User {
    long id;
    string name;
    int flags;

writeln("reading all user table rows");
foreach(ref e; stmt.select!User) {
    writeln("id:", e.id, " name:", e.name, " flags:", e.flags);

writeln("reading user table rows with where and order by");
foreach(ref e; stmt.select!User.where("id < 6").orderBy("name desc")) {
    writeln("id:", e.id, " name:", e.name, " flags:", e.flags);

writeln("reading all user table rows, but fetching only id and name (you will see default value 0 in flags field)");
foreach(ref e; stmt.select!(User, "id", "name")) {
    writeln("id:", e.id, " name:", e.name, " flags:", e.flags);

Connections Strings

Connection strings should start with ddbc: followed by the driver type, eg: ddbc:mysql://localhost. However, the ddbc prefix is optional.

The overall format is typically [ddbc:]<DRIVER:>//[ HOSTNAME [ ,PORT ]] [ ? <PARAMS> }] except for SQLite


SQLite can be configured for file based persistence or in-memory storage.


An in memory database can be configured by specifying :memory: instead of a filename:






Microsoft SQL Server (via ODBC)


DSN connections for Microsoft SQL Server

The correct format to use for a dsn connection string is odbc://?dsn=<DSN name>. Note that the server portion before the ? is empty, so the default server for the DSN name will be used.


pull requests are welcome. Please ensure your local branch is up to date and all tests are passing locally before making a pull request. A docker-compose file is included to help with local development. Use docker-compose up -d then run dub test --config=MySQL, dub test --config=PGSQL and dub test --config=ODBC. See the .travis.yml file and individual driver code for details on creating the relevant databases for local testing.

The examples should also run, make sure to change to the example directory and run dub build then make sure that the compiled executable will run with each supported database (you'll need to install relevant libs and create databases and users with relevant permissions):

./ddbctest --connection=sqlite::memory:
./ddbctest --connection=mysql: --database=testdb --user=travis --password=bbk4k77JKH88g54
./ddbctest --connection=postgresql: --database=testdb --user=postgres
./ddbctest --connection=odbc://localhost --database=ddbctest --user=SA --password=bbk4k77JKH88g54 --driver="ODBC Driver 17 for SQL Server"
./ddbctest --connection=odbc://localhost --database=ddbctest --user=SA --password=bbk4k77JKH88g54 --driver=FreeTDS

In the case of the ODBC connection FreeTDS is just an example, if you have msodbcsql17 driver installed use that instead.

Also, you may want to only run a single database image at a time. In that case you can do docker-compose up <NAME>

  • Vadim Lopatin
System dependencies:
Depending on configuration: PostgreSQL and/or SQLite v3
0.5.1 2019-Dec-15
0.5.0 2019-Sep-29
0.4.3 2019-Sep-22
0.4.2 2019-Sep-16
0.4.1 2019-Sep-08
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