Parquet Tools
Generate schemas and work with Apache Parquet columnar format
Parquet Schema Viewer
View and understand Parquet file schemas and metadata
Generate a schema from CSV or JSON data using the other tabs to see it here.
About Apache Parquet
Apache Parquet is a columnar storage format designed for efficient data storage and retrieval. It provides high compression rates and fast query performance for analytical workloads.
Key Features:
- Columnar Storage: Data stored by column for better compression
- Schema Evolution: Add columns without rewriting files
- Predicate Pushdown: Skip irrelevant data while reading
- Compression: Multiple algorithms (Snappy, GZIP, LZO)
- Complex Types: Support for nested data structures
Common Use Cases:
- Data lakes and warehouses
- Big data analytics with Spark/Hadoop
- Long-term data archival
- ETL pipelines
- Machine learning datasets
Advantages:
| Feature | Benefit |
|---|---|
| Columnar Format | 10-100x compression for analytical queries |
| Type-specific Encoding | Optimal storage for each data type |
| Predicate Pushdown | Read only necessary data |
| Schema in File | Self-describing format |