How to use the SQL Pagination Generator
1. Paste your base SELECT query (with ORDER BY). Choose the database dialect.
2. Set the page number and page size. The paginated query is generated live.
3. Copy both the data query and the count query for total-page calculation.
What is it?
Pagination limits how many rows are returned and skips rows from previous pages. Each database uses different syntax — MySQL and PostgreSQL use LIMIT/OFFSET, MS SQL Server uses OFFSET/FETCH NEXT (requires ORDER BY), and Oracle wraps in a ROWNUM subquery.
Always include ORDER BY in paginated queries to guarantee consistent row ordering across pages. Without it, the database can return rows in any order, causing rows to appear on multiple pages or be skipped entirely.
Benefits
Generate INSERT and CREATE TABLE statements instantly
Convert JSON, CSV, or a field list into ready-to-run SQL in seconds — no manual quoting, no counting columns, no copy-paste errors from spreadsheet data.
Build SELECT queries without memorising syntax
The visual query builder constructs WHERE conditions, ORDER BY, LIMIT, and DISTINCT clauses interactively — useful for anyone who writes SQL occasionally rather than daily.
Migrate between MongoDB and relational databases
Convert MongoDB find, insert, update, and delete operations directly to SQL equivalents — speed up data migration planning or schema exploration.
All your data stays in the browser
No SQL query, schema definition, or database content is ever uploaded to a server. Everything runs entirely client-side, making these tools safe to use with sensitive data.
Frequently asked questions
Why does MS SQL Server require ORDER BY?
The OFFSET/FETCH syntax requires a deterministic order. If your query doesn't have one, the tool adds ORDER BY (SELECT NULL) as a stable placeholder.
How do I calculate the total number of pages?
Run the COUNT query below to get the total row count, then divide by page size and round up: CEIL(total / page_size).