SQL Query Generator — From Schema to SELECT, Free
Generate SQL SELECT, INSERT, UPDATE, DELETE statements from a table schema. Picks correct dialect: MySQL, Postgres, SQLite, MSSQL. Free.
About SQL Query Generator
A SQL query generator turns a table schema and a few clicks into ready-to-run SQL — SELECT with filters, INSERT with values, UPDATE with WHERE, DELETE, JOIN. Useful when the syntax is fuzzy (which dialect quotes identifiers with double-quotes vs backticks?), when the table has many columns and you don't want to type them all, or when you need a quick boilerplate for a stored procedure. The ZTools SQL Query Generator builds queries for MySQL, PostgreSQL, SQLite, MSSQL, and Oracle — handling per-dialect quoting, parameter placeholders, and common gotchas like LIMIT vs TOP.
Use cases
- Quickly draft INSERT for a wide table. Forty columns; typing INSERT INTO ... by hand is error-prone. Paste schema, get template, fill values.
- Switch dialects without learning quirks. Code worked on PostgreSQL; need to port to MSSQL. Generator emits `TOP N` instead of `LIMIT N` and uses brackets for identifiers.
- Boilerplate for prepared statements. Generates parameterised queries with the right placeholder syntax: `?` for MySQL, `$1` for PostgreSQL, `@p0` for MSSQL.
- Teaching SQL. Show a student the same query in five dialects side-by-side — concrete way to teach portability lessons.
How it works
- Define table schema. Enter table name + columns (name, type, nullable, default). Or paste an existing CREATE TABLE statement and let the tool parse it.
- Pick query type. SELECT, INSERT, UPDATE, DELETE, UPSERT (per dialect: ON DUPLICATE KEY for MySQL, ON CONFLICT for Postgres).
- Configure. For SELECT: pick columns, WHERE filters, ORDER BY, LIMIT. For INSERT: column list, parameter style. For UPDATE: SET clauses + WHERE.
- Pick dialect. MySQL / PostgreSQL / SQLite / MSSQL / Oracle. Output adjusts: identifier quoting, LIMIT/TOP/FETCH, parameter placeholders.
Examples
Input: SELECT all from users WHERE age > 18, ORDER BY name, LIMIT 10 (MySQL)
Output: SELECT * FROM `users` WHERE `age` > 18 ORDER BY `name` LIMIT 10;
Input: Same query (MSSQL)
Output: SELECT TOP 10 * FROM [users] WHERE [age] > 18 ORDER BY [name];
Input: INSERT for users(name, email) with placeholders (Postgres)
Output: INSERT INTO "users" ("name", "email") VALUES ($1, $2);
Input: UPSERT (Postgres ON CONFLICT)
Output: INSERT INTO "users" ("id","name") VALUES ($1,$2) ON CONFLICT ("id") DO UPDATE SET "name" = EXCLUDED."name";
Frequently asked questions
Does it execute the query?
No — generator only. To run, paste into your database client (DBeaver, psql, MySQL Workbench).
Why are identifiers quoted?
Quoting protects against reserved-word collisions (`order`, `user`) and case-sensitivity quirks. Quoted identifiers are slightly verbose but always safe.
Does it handle JOINs?
Yes — multi-table SELECT with INNER / LEFT / RIGHT / FULL OUTER JOIN. Generator asks for the join condition and column selection per side.
Privacy?
All generation in the browser. Schemas / values never uploaded.
Does it warn about SQL injection risk?
When you paste literal values, output uses string concatenation (vulnerable). Toggle "parameterise" to use placeholders — the safe default for app code.
Can it generate stored procedures?
Basic CREATE PROCEDURE templates per dialect. Complex procedural logic (cursors, control flow) is dialect-specific and out of scope.
Pro tips
- Always parameterise — generator-output queries with literal values are an injection footgun. Use placeholders in production code.
- When porting code across dialects, regenerate rather than hand-edit. Misses on identifier quoting / LIMIT syntax cause runtime errors.
- For UPSERT, pick the right dialect-specific form — MySQL's ON DUPLICATE KEY differs subtly from Postgres ON CONFLICT.
- Schema-paste mode is the fastest start — no manual column entry.
Reviewed by Ahsan Mahmood · Last updated 2026-05-06 · Part of ZTools.
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