deepseek-ai / smallpond
A lightweight data processing framework built on DuckDB and 3FS.
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Repository Overview (README excerpt)
Crawler viewsmallpond A lightweight data processing framework built on [DuckDB] and [3FS]. Features ā¢ š High-performance data processing powered by DuckDB ā¢ š Scalable to handle PB-scale datasets ā¢ š ļø Easy operations with no long-running services Installation Python 3.8 to 3.12 is supported. Quick Start Documentation For detailed guides and API reference: ā¢ Getting Started ā¢ API Reference Performance We evaluated smallpond using the [GraySort benchmark] ([script]) on a cluster comprising 50 compute nodes and 25 storage nodes running [3FS]. The benchmark sorted 110.5TiB of data in 30 minutes and 14 seconds, achieving an average throughput of 3.66TiB/min. Details can be found in [3FS - Gray Sort]. [DuckDB]: https://duckdb.org/ [3FS]: https://github.com/deepseek-ai/3FS [GraySort benchmark]: https://sortbenchmark.org/ [script]: benchmarks/gray_sort_benchmark.py [3FS - Gray Sort]: https://github.com/deepseek-ai/3FS?tab=readme-ov-file#2-graysort Development License This project is licensed under the MIT License.