Sql2Csv: Export SQL Query Results to CSV in Seconds
Sql2Csv is a small utility (CLI/library) that runs SQL queries against a database and writes the results directly to CSV. It’s designed for fast, repeatable exports with minimal setup.
Key features
- Fast exports from SQL to standard CSV format (comma-delimited, optional quoting).
- Support for popular databases via connection strings (Postgres, MySQL, SQLite, SQL Server, etc.).
- Command-line usage for scripting and automation.
- Options for header row inclusion, custom delimiters, and quoting.
- Streaming output to avoid high memory use on large result sets.
- Ability to read query from file or stdin; write CSV to file or stdout.
- Simple filtering, parameter substitution, and pagination/limit options.
Typical usage
- Run a one-off export: sql2csv -c “postgres://user:pass@host/db” -q “SELECTFROM users” -o users.csv
- Pipe results into other tools: sql2csv -c “$CONN” -q “SELECT id,email FROM customers” | gzip > customers.csv.gz
- Schedule in cron or CI to produce nightly exports.
Best practices
- Use streaming mode for large tables to prevent memory spikes.
- Parameterize queries to avoid leaking credentials or sensitive data.
- Include explicit column ordering in queries for stable CSV column locations.
- Compress outputs for storage/transfer and verify encoding (UTF-8).
- Test with a small LIMIT before running full exports.
Limitations & considerations
- CSV lacks schema/typing—consumers must interpret types (dates, numbers).
- Beware of CSV injection when opening files in spreadsheets; prefix dangerous cells if needed.
- Ensure database credentials are managed securely (environment variables or vaults).
When to use it
- Sharing query results with non-technical stakeholders.
- Feeding CSVs into ETL pipelines, analytics tools, or backup workflows.
- Ad-hoc data extracts or automated scheduled exports.
If you want, I can generate sample commands for a specific database or show how to stream large results safely.
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