Viewer Tool for Parquet File
The screenshot below demonstrates the application interface designed to read and understand the structure of a Parquet file. This interface provides comprehensive details about the selected Parquet file:
File Information
- File Size: 56 KB
- Total Row Groups: 1
- Total Rows: 1,000,000
- Total Columns: 11
- Rows per Row Group: Row Group 0 contains 1,000,000 rows
Table Data (First 5 rows)
| CustomerID | Title | Suffix | CompanyName | SalesPerson | EmailAddress | PasswordHash | PasswordSalt | rowguid | ModifiedDate | Date |
|---|---|---|---|---|---|---|---|---|---|---|
| 644 | Mr. | Jr. | Convenient Sales and Service | adventure-works\pamela0 | gregory1@adventure-works.com | syI1UO2qeBH9g2tg2nu3DTejZc7OEShGw8jxOqXFATY= | FAw6ojc= | 9ccd22e6-5acf-4378-ba69-1fe722239354 | 2006-09-01T00:00:00Z | 2006-09-01 |
Parquet File Structure
This application helps users read and understand the structure of a Parquet file by providing a clear overview of the file’s metadata and a sample of the data it contains. This can be beneficial for diagnosing errors or optimizations in several ways:
Error Diagnosis
By displaying the structure and sample data, users can quickly identify any discrepancies or issues with the data, such as missing or malformed entries.
Optimization
Understanding the file’s structure, including the number of rows, columns, and row groups, can help users optimize their data processing workflows. For example, they can determine if the file is appropriately partitioned or if the data types are suitable for their analysis tasks.
Data Validation
The sample data allows users to validate that the data conforms to expected formats and values, ensuring data integrity before further processing.
Useful Links
- Apache Parquet Documentation
- What is Parquet? - Databricks
- Parquet File Format Tutorial - DataCamp
- Parquet Files with Apache Spark
This content provides a clear overview of the Parquet file's metadata and sample data, which can help diagnose errors and optimize data processing workflows.