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Chapter 5

Filtering, Sorting, Functions, Subqueries, and Useful Query Patterns

Move beyond basic SELECT statements and learn the query patterns used in dashboards, search screens, and back-office tools.

Inside this chapter

  1. Filtering for Business Questions
  2. Ordering and Limiting Results
  3. Useful Built-In Functions
  4. Subqueries and Reusable Thinking

Series navigation

Study the chapters in order for the smoothest path from relational foundations to production-level MariaDB operations. Use the navigation at the bottom of each page to move chapter by chapter through the full series.

Tutorial Home

Chapter 5

Filtering for Business Questions

Most useful queries do not read every row. They answer a question such as: which orders are still pending, which customers joined this month, which products are out of stock, or which invoices exceed a threshold. SQL filtering lets you ask those targeted questions directly.

SELECT order_id, customer_id, order_status
FROM orders
WHERE order_status IN ('PENDING', 'PACKING')
  AND order_date >= '2026-01-01';
Chapter 5

Ordering and Limiting Results

SELECT product_name, unit_price
FROM products
WHERE is_active = 1
ORDER BY unit_price DESC
LIMIT 10;

This pattern is common in leaderboards, report previews, admin dashboards, and API endpoints. Without a clear ordering rule, paginated results may become inconsistent or confusing.

Chapter 5

Useful Built-In Functions

MariaDB includes string, numeric, date, and conditional functions that let you shape query results without shifting everything into application code.

SELECT
    full_name,
    UPPER(status) AS normalized_status,
    DATE(created_at) AS signup_date
FROM customers;

SELECT
    product_name,
    ROUND(unit_price * 1.18, 2) AS price_with_tax
FROM products;
Chapter 5

Subqueries and Reusable Thinking

SELECT customer_id, full_name
FROM customers
WHERE customer_id IN (
    SELECT customer_id
    FROM orders
    WHERE order_status = 'PENDING'
);

Subqueries can help express business logic, but they should be used thoughtfully. Sometimes a join is more efficient or easier to read. Advanced SQL maturity means choosing the clearest and most performant form for the problem.

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