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SQL Minifier

minifizieren SQL queries by removing comments und collapsing whitespace.

Uppercase SQL keywords
368 bytes original266 bytes minified28% saved (102 bytes)
sql

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Compact SQL for Production & Embedding

SQL queries in development are often readable: nicely indented, with explanatory comments and multi-line Formatiertting. But when deploying to production or embedding SQL in code, that readability costs you bytes. This SQL Minifier strips away all the whitespace and comments, producing lean, single-line queries that reduce payload size and log verbosity.

Minification is especially valuable when:

  • Embedding queries in configuration files or code
  • Reducing query log file sizes in high-traffic systems
  • Preparing SQL for parameterized execution in ORMs or query builders
  • Minimizing bandwidth when queries are sent over the network
  • Cleaning up exported SQL dumps before storage or archival

What It Removes

Comments: Both -- single line comments and /* multi-line comments */ are stripped completely.

Excess Whitespace: Multiple spaces, tabs, and newlines between tokens collapse to single spaces where needed. The tool is smart about preserving spaces within string literals so your data stays intact.

Formatiertting: SQL keywords can optionally be uppercased (SELECT instead of select) for consistency with style guidelines.

The result is a compact, executable query that's identical in behavior to the original.

Impact Measurement

The tool shows you exactly how much Komprimiertion you achieved: bytes saved and percentage reduction. This helps quantify the benefit, especially for teams optimizing large query libraries or high-volume SQL execution environments.

Real-World Anwendungsfälle

ORM Query Generation: Generiert minified SQL from your ORM configuration to reduce the memory footprint of query string storage.

API Query Endpoints: When clients send SQL queries to your API, minification reduces request payload size and speeds up parsing.

Database Dumps & Exports: Minify large SQL export files before archiving to save storage space without losing any functionality.

Query Logging: Strip comments from queries before logging to reduce log file bloat while keeping the SQL executable and debuggable.

No Data Leaves Your Browser

Minification happens entirely locally, so sensitive SQL containing credentials or proprietary logic never touches a server.