Database Engine Documentation

Overview

Welcome to the official documentation for the MSDN Database Engine. This comprehensive resource provides in-depth information on its features, architecture, API, and best practices.

The Database Engine is a robust and scalable solution designed to manage large volumes of data with high performance and reliability. It supports a wide range of operations, from simple data retrieval to complex transactional processing.

Architecture

Understanding the architecture of the Database Engine is crucial for effective utilization and performance tuning.

Core Components

For a detailed breakdown of each component and their interactions, refer to the deep dive section.

API Reference

Explore the various APIs available for interacting with the Database Engine. This section details the available functions, classes, and methods for programmatic access.

Data Access API

This API allows you to connect to the database, execute queries, and retrieve data.

executeQuery(query: string): Promise<Array<object>>

Executes a given SQL query and returns the results as an array of objects.


async function fetchData() {
    try {
        const results = await databaseEngine.executeQuery("SELECT * FROM Users WHERE Status = 'Active'");
        console.log("Active users:", results);
    } catch (error) {
        console.error("Error executing query:", error);
    }
}
                

executeNonQuery(command: string): Promise<number>

Executes a SQL command that does not return results (e.g., INSERT, UPDATE, DELETE) and returns the number of affected rows.

Management API

Manage database objects, configurations, and security settings.

createTable(tableName: string, columns: object): Promise<boolean>

Creates a new table with specified columns.

Tutorials

Learn how to use the Database Engine effectively with our step-by-step tutorials.

Getting Started

A quick guide to setting up your first database and performing basic operations.

Note: Ensure you have the necessary permissions before proceeding.

Advanced Querying

Mastering joins, subqueries, and stored procedures for efficient data manipulation.

Performance Tuning

Strategies and techniques to optimize your database performance.

Troubleshooting

Find solutions to common problems and error messages.

Connection Issues

If you are experiencing issues connecting to the database, check your connection strings, firewall rules, and authentication credentials.

Performance Bottlenecks

Common causes include inefficient queries, inadequate indexing, and insufficient hardware resources. Use the performance monitoring tools to identify specific bottlenecks.

Error Code Reference

A comprehensive list of error codes and their explanations.

Code Examples

See practical examples of how to integrate the Database Engine into your applications.

Example 1: Basic CRUD Operations


// --- Create ---
async function addUser(userData) {
    const query = `INSERT INTO Users (Name, Email) VALUES ('${userData.name}', '${userData.email}')`;
    await databaseEngine.executeNonQuery(query);
    console.log("User added.");
}

// --- Read ---
async function getUserById(userId) {
    const results = await databaseEngine.executeQuery(`SELECT * FROM Users WHERE Id = ${userId}`);
    return results[0];
}

// --- Update ---
async function updateUserStatus(userId, status) {
    const query = `UPDATE Users SET Status = '${status}' WHERE Id = ${userId}`;
    await databaseEngine.executeNonQuery(query);
    console.log(`User ${userId} status updated to ${status}.`);
}

// --- Delete ---
async function deleteUser(userId) {
    const query = `DELETE FROM Users WHERE Id = ${userId}`;
    await databaseEngine.executeNonQuery(query);
    console.log(`User ${userId} deleted.`);
}
                

Example 2: Setting up Replication

Details on configuring data replication for high availability and disaster recovery.

Important: Replication setup requires careful planning and configuration of both source and replica databases.

Frequently Asked Questions (FAQ)

Q: What are the system requirements for the Database Engine?

A: System requirements vary depending on the workload. Generally, we recommend at least 8GB of RAM and sufficient disk space for your data. For detailed specifications, please refer to the requirements document.

Q: How can I backup my database?

A: The Database Engine provides built-in backup utilities. You can schedule regular backups using the Management API or command-line tools.

Q: Is the Database Engine compatible with [Technology X]?

A: The Database Engine offers broad compatibility. We provide drivers and connectors for most popular programming languages and platforms. Check the compatibility matrix for details.