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Databases

Parquet File Viewer and Editor in VS Code

DBCode lets you open and work with Apache Parquet files directly in VS Code. Browse columnar data with sorting and filtering, and run SQL queries against your Parquet files using DuckDB under the hood.

  • Open any .parquet file in the data grid
  • Sort, filter, and group data
  • Run SQL queries against Parquet data
  • View the key/value metadata embedded in the file
  • Export to other formats (CSV, Excel, JSON)

Parquet files can carry key/value metadata in their footer. Expand a table in the connection tree and open its Metadata node to see it. Your own keys show at the top, file facts (row count, row groups, the tool that wrote the file, and the format version) sit under File, and tooling-written keys such as pandas or ARROW:schema are tucked under a collapsed System group. Hover a value to read it in full, right-click to copy it, or click a long value to open it in an editor.