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Awesome GitHub RepositoriesParameterized Bulk Processing
Executing the same query multiple times with varying parameters to handle large datasets.
Distinct from Bulk Data Processing: Distinct from generic bulk processing by specifically utilizing parameterized SQL for efficiency.
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Awesome Parameterized Bulk Processing GitHub Repositories
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- kennethreitz/records
kennethreitz/records
7,217عرض على GitHubRecords is a SQL database client designed for executing raw queries and managing result sets through a simplified interface. It provides a parameterized SQL executor to bind values to placeholders, ensuring safe data handling and preventing injection attacks, alongside a database transaction manager for grouping operations into atomic units. The project includes a dedicated command-line interface for running database statements and exporting query results directly to local files. This tooling allows for the conversion of SQL result sets into multiple serialization formats, including CSV, JSON
Executes the same SQL query multiple times with different parameters to handle large datasets efficiently.
Pythonforhumanskennethreitzorm
