They all generate SQL ending in LIMIT 1 OFFSET 3. Object relational mapping (ORM) libraries make it easy and tempting, from SQLAlchemy’s. Sadly it’s a staple of web application development tutorials. The easiest method of pagination, limit-offset, is also most perilous. Paginating Arbitrary Queries Limit-Offset

We’ll conclude with some exotic methods which rely on PostgreSQL internals. Let’s consider the methods in order of generality, starting with those that work for any query, then those which require ordered data.

Not all methods work in all situations, some require special data or queries. PostgreSQL gives us a number of server-side pagination techniques that differ in speed, integrity (not missing records), and support for certain page access patterns.

Better performance on resource-constrained clients.

More accuracy when shared data is changing.

Server-side has additional benefits such as It gets impractical when records begin numbering in the thousands. For small amounts of data client-side pagination can be a better choice, reducing HTTP calls. Some applications transfer all (or a large part) of the server information to the client and paginate there.

This article will help you identify which technique is appropriate for your situation, including some you may not have seen before which rely on physical clustering and the database stats collector.īefore continuing it makes sense to mention client-side pagination. In this article we’ll examine several methods of server-side pagination and discuss their tradeoffs when implemented in PostgreSQL. It may surprise you that pagination, pervasive as it is in web applications, is easy to implement inefficiently.

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