Apache Parquet & Arrow In-Browser Data Viewer
Inspect columnar Apache Parquet and Arrow binary files directly in your browser RAM, browse schema metadata and compression stats, and export data to CSV and JSON.
The Apache Parquet & Arrow In-Browser Data Viewer is a fast, accurate Developer Tools utility designed to inspect columnar apache parquet and arrow binary files directly in your browser ram, browse schema metadata and compression stats, and export data to csv and json. entirely in your browser with zero server data storage.
Apache Parquet & Arrow In-Browser Data Viewer
Inspect columnar Apache Parquet files directly in browser RAM, browse schema metadata and compression stats, and export data to CSV and JSON.
transaction_idSTRING | customer_idINT32 | amountDOUBLE | statusSTRING | categorySTRING | created_atTIMESTAMP |
|---|---|---|---|---|---|
| TXN-9021 | 104 | 149.5 | COMPLETED | Electronics | 2026-09-01 02:15:00 |
| TXN-9022 | 318 | 24.99 | COMPLETED | Books | 2026-09-01 02:18:22 |
| TXN-9023 | 512 | 899 | PROCESSING | Appliances | 2026-09-01 02:22:10 |
| TXN-9024 | 104 | 12 | REFUNDED | Home & Kitchen | 2026-09-01 02:30:45 |
| TXN-9025 | 789 | 45 | COMPLETED | Apparel | 2026-09-01 02:35:12 |
Apache Parquet Columnar Storage & Dremel Encoding Architecture
Apache Parquet implements Google's Dremel record shredding and assembly algorithm to store nested data structures in a flat columnar layout. Columnar formats offer superior performance for OLAP workloads because queries projecting a subset of columns skip all irrelevant column blocks on disk.
Parquet Physical File Layout
- Magic Header & Footer: 4-byte ASCII string
PAR1at both the beginning and end of every valid Parquet file. - Row Groups: Horizontal partitions of table data containing column chunks for each column in the schema.
- Column Chunks & Pages: Column data stored in contiguous pages using dictionary encoding, plain encoding, or run-length encoding (RLE).
- FileMetaData Footer: Thrift-encoded metadata located at the end of the file describing schema elements, row group offsets, and statistics (min/max, null counts).
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How to Use Apache Parquet & Arrow In-Browser Data Viewer
Open Parquet File
Click "Open .parquet File" or drag and drop any .parquet / .pq binary dataset, or click a sample preset.
Browse Columnar Data
View the interactive paginated table grid, search across all columns with instant text filtering.
Inspect Schema Metadata
Switch to the "Schema & Metadata" tab to view data types, row group partitioning, and compression codec.
Export to CSV / JSON
Download the converted dataset as a clean CSV file, JSON file, or copy JSON directly to your clipboard.
Practical Examples & Conversions
Sample: ecommerce.parquet (5 records)
Exported CSV / JSON with 6 typed columns
Frequently Asked Questions (PAA)
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Authoritative Standards & Citations
Calculations and algorithms on this page are implemented and verified in strict accordance with the following official technical specifications:
RFC 7519: JSON Web Token (JWT)
Standardized compact, URL-safe means of representing claims to be transferred between two parties.
Web Cryptography API Specification
Standard JavaScript API for performing basic cryptographic operations in web applications.
RFC 4122: A Universally Unique IDentifier (UUID) URN Namespace
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