CSV Parser by Marevo
Marevo.vision
$0.0
(no ratings)
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Date |
Price |
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日時 |
価格($) |
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04/19(2024) |
0.0 |
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11/25(2024) |
0.0 |
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Effortlessly handles massive datasets with synchronous, asynchronous, and chunked streaming. Customizable and easy integration for efficient CSV file management.Our CSV Parser is a versatile solution designed to handle massive datasets effortlessly. Choose between synchronous and asynchronous loading for flexibility, and leverage chunked streaming to process large files efficiently. With optimized memory usage, customizable buffering, this reader ensures smooth data processing.Key Features:Synchronous & Asynchronous Loading: Choose the loading method that suits your needs. The synchronous mode ensures simplicity and ease of use, while the asynchronous option enhances performance, allowing you to continue processing other tasks concurrently.Optimized for Large Files: Tackle colossal datasets without compromising performance. Our CSV Reader is optimized to efficiently handle large files, preventing memory overloads and ensuring a smooth, responsive experience.Streaming in Chunks: Break free from limitations imposed by file size. With chunked streaming, you can effortlessly process portions of the CSV file at a time, minimizing memory usage and enabling real-time handling of data as it arrives.Customizable Buffering: Tailor the buffering strategy to match your application's requirements. Adjust the buffer size to balance memory utilization and processing speed, ensuring optimal performance for your specific use case.Fast: Designed and heavily optimized for performance.Lightweight Package: The API is specifically designed not to add unnecessary baggage or overhead to your project.Synchronous and Asynchronous Loading: Choose between synchronous operations for smaller datasets, ensuring simplicity and ease of integration, or asynchronous operations for large files, optimizing performance and responsiveness.File Streaming: Allows data to be read and processed in smaller chunks, minimizing memory usage and enabling the efficient handling of substantial datasets.
