SQL is great! It can handle complex queries involving multiple tables, aggregations, subqueries, and joins. It can perform CRUD (Create, Read, Update,

Writing Composable SQL using Knex and Pipelines

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2024-11-28 15:00:02

SQL is great! It can handle complex queries involving multiple tables, aggregations, subqueries, and joins. It can perform CRUD (Create, Read, Update, Delete) operations. It enforces data integrity through constraints like primary and foreign keys. It supports transactions, allowing multiple operations to be executed as a single unit, which can be rolled back if one of the operations fails.

Despite all its strengths, which are too many to list here, SQL can be awkward to integrate with host languages such as JavaScript and Python. There’s often an impedance mismatch between SQL’s declarative nature and the host language’s object-oriented or functional paradigms since SQL queries are typically written as strings within the host language, making it difficult to apply composable programming techniques.

Several solutions have been developed over the years to address the impedance mismatch, with ORM (Object-Relational Mapping) libraries being one of them. ORMs such as Java’s Hibernate are widely used to model a relational database using objects, but there are various difficulties in making them work well.

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