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SQL Query Generator

Developer ToolsDeveloper Reference
Statement
Dialect

Separate with commas.

SQL statement —
Statement type
—
Columns used
—
Characters
—

Pick a statement type and dialect, then type the table, columns and values. The generator writes the SQL with the right quoting: Customers, CustomerName and City with values Cardinal and Stavanger becomes INSERT INTO Customers (CustomerName, City) VALUES ('Cardinal', 'Stavanger'); and apostrophes inside text are doubled.

About this tool

Hand-writing a quick INSERT or UPDATE is where small syntax slips creep in: a missing quote around a name like O'Brien, backticks pasted into SQL Server, or LIMIT used where the server expects TOP. This generator assembles a single statement from plain fields and applies the conventions of the dialect you choose, so the output can be pasted straight into a console or migration script. It handles one table and one equality filter per statement, and flags an UPDATE or DELETE that has no WHERE clause, since that touches every row. Joins, grouping, subqueries and parameter placeholders are outside its scope; for application code, prefer prepared statements over pasted literals.

How to use it

  1. Choose the statement

    Select SELECT, INSERT, UPDATE or DELETE; the fields that statement does not need are hidden.

  2. Pick a dialect

    Standard SQL leaves simple names bare, MySQL uses backticks, PostgreSQL double quotes and SQL Server square brackets.

  3. Fill in table, columns and values

    Separate columns and values with commas, in matching order. A schema prefix such as sales.orders is quoted part by part.

  4. Add a filter or limit

    A filter column and value become a WHERE equality; a row limit becomes LIMIT, or TOP on SQL Server.

Examples

Insert one customer

Statement
INSERT
Dialect
Standard SQL
Table
Customers
Columns
CustomerName, City
Values
Cardinal, Stavanger

Result SQL statement: INSERT INTO Customers (CustomerName, City) VALUES ('Cardinal', 'Stavanger');
Statement type: INSERT
Columns used: 2
Characters: 76

  1. Table Customers is written as Customers for the chosen dialect.
  2. Paired 2 column(s) with 2 value(s); text values are single-quoted with apostrophes doubled.

Text values are wrapped in single quotes; the identifiers are plain words, so Standard SQL leaves them unquoted.

First 10 shipped orders in SQL Server

Statement
SELECT
Dialect
SQL Server
Table
sales.orders
Columns
id, total
Filter column
status
Filter value
shipped
Row limit
10

Result SQL statement: SELECT TOP 10 [id], [total] FROM [sales].[orders] WHERE [status] = 'shipped';
Statement type: SELECT
Columns used: 2
Characters: 77

  1. Table sales.orders is written as [sales].[orders] for the chosen dialect.
  2. Filter: WHERE [status] = 'shipped'.
  3. Row cap of 10 uses TOP.

SQL Server caps rows with TOP rather than LIMIT and quotes names in square brackets, schema and table separately.

Update a name containing an apostrophe

Statement
UPDATE
Dialect
MySQL
Table
users
Columns
name, age
Values
O'Brien, 34
Filter column
id
Filter value
7

Result SQL statement: UPDATE `users` SET `name` = 'O''Brien', `age` = 34 WHERE `id` = 7;
Statement type: UPDATE
Columns used: 2
Characters: 66

  1. Table users is written as `users` for the chosen dialect.
  2. Filter: WHERE `id` = 7.
  3. Paired 2 column(s) with 2 value(s); text values are single-quoted with apostrophes doubled.

The apostrophe in O'Brien is doubled so the string stays valid, and the number 34 is left unquoted.

How it is calculated

INSERT INTO t (c1, c2) VALUES (v1, v2); UPDATE t SET c1 = v1 WHERE k = x; SELECT cols FROM t WHERE k = x LIMIT n; DELETE FROM t WHERE k = x

t, c, k
table and column identifiers, quoted with the dialect's delimiter when needed
v, x
literal values: numbers, NULL, TRUE and FALSE unquoted, everything else in single quotes
n
maximum number of rows returned

Each identifier is split at dots and wrapped in the dialect's quote characters, with any embedded quote character doubled. A value that looks like a number or a SQL keyword is written as is; other values are wrapped in single quotes and any apostrophe inside is doubled, the escaping rule the SQL standard defines for string literals. A filter column with no value produces IS NULL.

When not to use it

  • Do not paste visitor input into SQL built this way inside an application; use parameterised queries instead.
  • Queries needing joins, GROUP BY, ORDER BY or several conditions are better written by hand.

Common mistakes

  • Listing three columns but only two values, which the generator rejects rather than guessing.
  • Running an UPDATE or DELETE without a filter and changing the whole table.
  • Typing a number with a thousands separator, such as 1,000, which the comma splits into two values.

Frequently asked questions

Why does SQL Server use TOP instead of LIMIT?

T-SQL never adopted the LIMIT clause used by MySQL, PostgreSQL and SQLite. It caps rows with SELECT TOP n, or with OFFSET and FETCH after ORDER BY, so the generator switches to TOP when SQL Server is chosen.

How are apostrophes inside text handled?

A single quote inside a string literal is doubled, so O'Brien becomes 'O''Brien'. That is the escaping rule in the SQL standard and it works in all four dialects offered here.

Which values are left without quotes?

Whole and decimal numbers such as 34 or -2.5, and the keywords NULL, TRUE and FALSE. Everything else, including dates like 2026-10-06, is wrapped in single quotes, which every major database accepts for date literals.

What is the difference between backticks, double quotes and brackets?

They all delimit identifiers so names with spaces, capitals or reserved words still work. MySQL uses backticks by default, PostgreSQL and the SQL standard use double quotes, and SQL Server uses square brackets.

Can I quote a schema and table together?

Yes. Write the name with a dot, such as sales.orders, and each part is quoted on its own, giving [sales].[orders] on SQL Server or "sales"."orders" on PostgreSQL.

What happens if I leave the filter value empty?

The filter becomes WHERE column IS NULL, because comparing with = NULL never matches any row in SQL's three-valued logic.

Cite this tool

Using this tool in an assignment, article or report? Copy a citation, or a link for your website.

APA

Tools Directory Editorial Team. (2026, October 23). SQL Query Generator. Tools Directory. Retrieved October 26, 2026, from https://tools.milunir.com/developer-tools/developer-reference/sql-query-generator/

MLA

Tools Directory Editorial Team. “SQL Query Generator.” Tools Directory, 23 Oct. 2026, https://tools.milunir.com/developer-tools/developer-reference/sql-query-generator/. Accessed 26 Oct. 2026.

Chicago

Tools Directory Editorial Team. “SQL Query Generator.” Tools Directory. Last modified October 23, 2026. Accessed October 26, 2026. https://tools.milunir.com/developer-tools/developer-reference/sql-query-generator/.

Link<a href="https://tools.milunir.com/developer-tools/developer-reference/sql-query-generator/">SQL Query Generator – Tools Directory</a>