Parquet SQL Query Editor Overview
Run SQL against Apache Parquet files directly in the browser—ideal for data engineering, analytics, and development. No sign-up or uploads; DuckDB-WASM powers fast filtering, aggregation, and schema validation on modern browsers across Windows, macOS, and Linux.
FAQ
- How do I run SQL on a Parquet file online?
- Upload or drag a .parquet file, the SQL Editor opens by default. Type your SELECT query and click Run to get results locally in the browser.
- What SQL syntax is supported for Parquet queries?
- DuckDB SQL is supported, including SELECT, WHERE, GROUP BY, ORDER BY, LIMIT, most aggregates, and window functions. Add a LIMIT to sample data faster.
- Where is my Parquet data processed?
- All queries run locally in the browser via WebAssembly. Files are never uploaded; closing the tab clears the session.
- Can this replace Spark or a database for quick checks?
- It is ideal for ad-hoc sampling, filtering, or schema checks without deploying Spark, Hive, or a database.
- How do I handle large Parquet files safely?
- The tool auto-applies a protective LIMIT of up to 10,000 rows. Add your own LIMIT or filters to avoid returning too much data at once.