SQLY Advanced Features

📖 Introduction

This section covers advanced SQLY features, including complex filtering, sorting, joins, pagination, and more.

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🔎 Complex Filtering with Logical Operators

SQLY supports combining multiple conditions using and, or, and not.

✅ Example 1: Fetch Users with Multiple Conditions

query:
  select: [id, name, email]
  from: users
  where:
    and:
      - status: active
      - role: admin
      - last_login:
          gte: "2024-01-01"

✅ Example 2: Fetch Orders Matching Multiple Statuses

query:
  select: [order_id, customer, total_price, status]
  from: orders
  where:
    or:
      - status: completed
      - status: shipped

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📊 Sorting & Pagination

Sorting results and limiting the number of returned rows.

✅ Example 3: Sort Users by Last Login Date (Descending)

query:
  select: [id, name, last_login]
  from: users
  order_by: last_login DESC
  limit: 20

✅ Example 4: Paginate Results (Second Page, 10 Results per Page)

query:
  select: [id, name, created_at]
  from: users
  limit: 10
  offset: 10

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🔗 Joining Tables

SQLY supports joining multiple tables.

✅ Example 5: Fetch Orders with Customer Names

query:
  select: [orders.order_id, customers.name, orders.total_price]
  from: orders
  join:
    customers:
      on: orders.customer_id = customers.id

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🔍 Searching with like and full_text_search

Perform searches based on text patterns.

✅ Example 6: Find Products Containing “Wireless”

query:
  select: [id, name, description]
  from: products
  where:
    name:
      like: "%wireless%"

✅ Example 7: Full-Text Search on Articles

query:
  select: [id, title, content]
  from: articles
  where:
    content:
      full_text_search: "machine learning"

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📌 Summary

• Use and, or, not for complex filtering.
• order_by sorts results.
• limit and offset enable pagination.
• join allows querying across tables.
• like and full_text_search support text searches.