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Скачать или смотреть Understanding PostgreSQL: Do Server-Side Cursors Store Results on Disk?

  • vlogize
  • 2025-05-20
  • 5
Understanding PostgreSQL: Do Server-Side Cursors Store Results on Disk?
Do PostgreSQL server side cursors store the results to disk?sqlpostgresqlstream
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Описание к видео Understanding PostgreSQL: Do Server-Side Cursors Store Results on Disk?

Explore whether PostgreSQL server-side cursors store results on disk and learn how they interact with large data sets. Get insights on performance and potential disk space issues.
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This video is based on the question https://stackoverflow.com/q/67587698/ asked by the user 'Michal Charemza' ( https://stackoverflow.com/u/1319998/ ) and on the answer https://stackoverflow.com/a/67588221/ provided by the user 'jjanes' ( https://stackoverflow.com/u/1721239/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Understanding PostgreSQL: Do Server-Side Cursors Store Results on Disk?

When working with databases, especially with large datasets, it's common to encounter various challenges related to memory and disk space. One question that often arises for PostgreSQL users is whether server-side cursors store or materialize the entire result set on disk. In this guide, we will explore this question and provide you with a comprehensive understanding of how PostgreSQL handles cursors in relation to disk storage.

The Problem: Need for Clarity on Server-Side Cursors

You may find yourself running queries that return a large number of results, leading to potential disk space errors. Understanding how PostgreSQL processes these results, particularly concerning server-side cursors, is crucial to managing resource usage effectively.

What Are Server-Side Cursors?

Before diving into the specifics, let's clarify what server-side cursors are:

Cursors are database objects used to retrieve a set of rows from a query one at a time.

Server-side cursors are maintained by the database server, allowing them to handle large result sets more efficiently than client-side cursors.

Do Server-Side Cursors Store Results on Disk?

The answer to the question of whether server-side cursors store the entire result set to disk is not specifically. Here’s what you need to understand:

Key Points:

Cursors Do Not Materialize Results: Server-side cursors do not inherently store or materialize all results to disk at once.

Operations That Spill to Disk: While cursors may not store results, certain operations (e.g., large sorts, multi-batch hash joins, set-returning functions) can lead to the generation of temporary files on the disk. These operations may be triggered regardless of whether you are using a cursor.

Cursor Behavior with HOLD and SCROLL: If a cursor is held open (using WITH HOLD), it may prevent incidental temporary files from being cleaned up, which can contribute to disk space issues.

Implications for Disk Space Management

Since server-side cursors themselves do not lead to storing results on disk, it is vital to consider the following strategies to manage your disk space:

Review Long-Running Queries: Long operations may inadvertently lead to temporary files if they exceed memory limits.

Monitor Disk Usage: Keep track of your disk space usage, especially during large data processing.

Optimize Queries: Try to optimize queries to reduce the processing load and the likelihood of unnecessary disk usage.

Close Cursors Promptly: Closing cursors as soon as you are finished with them can help with cleanup efforts and prevent temporary file retention.

Conclusion

In summary, while PostgreSQL server-side cursors do not directly store the entire results set on disk, related operations may produce temporary files that can affect disk space. By understanding how cursors work and implementing best practices for query management, you can mitigate potential disk space issues.

If you're experiencing difficulties with disk space while querying large datasets, consider reviewing your query structure and cursor usage. This knowledge can help you optimize performance and ensure a smoother database experience.

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