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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