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Awesome GitHub RepositoriesIn-Memory Virtualization
Treating external data sources as temporary, volatile relational tables in memory.
Distinct from SQLite Integration: Distinct from general SQLite integration by emphasizing the volatile, virtualized nature of the loaded text files.
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Awesome In-Memory Virtualization GitHub Repositories
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- harelba/q
harelba/q
10,353在 GitHub 上查看q is a command-line utility for the processing, filtering, and aggregation of tabular text and database files using standard SQL syntax. It functions as a query engine that treats CSV and TSV files, as well as standard input, as relational database tables. The tool distinguishes itself by providing a persistent cache layer that stores processed tabular data in a binary format to accelerate repeated queries on large datasets. It also maps individual filenames or stream identifiers to relational table names, enabling SQL joins across disparate text files. The project covers a broad range of da
Treats text files and standard input as temporary relational tables by loading them into a volatile SQLite instance.
Pythonclicommand-linecommand-line-tool
