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Awesome GitHub RepositoriesHigh-Performance Database Extraction
Techniques for pulling large datasets from relational databases into memory with maximum throughput.
Distinct from High-Performance Data Transfer: Shortlist candidates focus on the database systems themselves or generic file transfer, not the specific act of extracting SQL data into memory.
Explore 1 awesome GitHub repository matching data & databases · High-Performance Database Extraction. Refine with filters or upvote what's useful.
Awesome High-Performance Database Extraction GitHub Repositories
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- sfu-db/connector-x
sfu-db/connector-x
2,561عرض على GitHubConnector-X is a high-performance SQL data extraction library and bridge for transferring relational database records into memory-efficient data structures. It functions as a parallel database connector and federated query engine capable of executing and joining queries across multiple remote database connections to aggregate data locally. The project distinguishes itself through a zero-copy approach to data loading, which transfers SQL query results into memory structures without duplicating data. It maximizes throughput by partitioning SQL queries into threads, employing parallel columnar a
Provides a high-performance method to pull large datasets from relational and analytical databases directly into memory.
Rustcppdatabasedataframe
