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Скачать или смотреть How to Retrieve the Latest Record Based on Date in PostgreSQL

  • vlogize
  • 2025-10-02
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How to Retrieve the Latest Record Based on Date in PostgreSQL
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Описание к видео How to Retrieve the Latest Record Based on Date in PostgreSQL

Discover how to effectively get the latest record based on date in PostgreSQL, along with indexing tips for optimal performance.
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This video is based on the question https://stackoverflow.com/q/63914534/ asked by the user 'Yogus' ( https://stackoverflow.com/u/2320808/ ) and on the answer https://stackoverflow.com/a/63914821/ provided by the user 'Tometzky' ( https://stackoverflow.com/u/15862/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to get the latest record on the basis of latest date?

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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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How to Retrieve the Latest Record Based on Date in PostgreSQL

In the realm of data management, one common request among database users is how to extract the most recent record based on a specific date. This query becomes crucial when maintaining timely and up-to-date information about various transactions or statuses stored in a database. In this guide, we will guide you through a solution that allows you to retrieve the latest status based on the start date from a sample table using PostgreSQL.

Understanding the Problem

Let's visualize the scenario. Suppose you have a table that records different statuses over time for various IDs. Here’s a simplified view of how that data might look:

r_idstart_dateStatus1491652020-09-07 08:12:46.108ongoing1491652020-09-07 08:18:15.934resolved1491612020-09-07 08:11:33.923ongoing1491612020-09-07 08:12:19.887resolved1491612020-09-07 08:11:04.448ongoing1491612020-09-07 08:09:17.211ongoingIn this table, you want to add a new column (latestStat) that will reflect the most recent status for each ID (r_id), based on the latest start_date. The expected output, based on the latest statuses, should look like the following:

r_idstart_dateStatuslatestStat1491652020-09-07 08:12:46.108ongoingresolved1491652020-09-07 08:18:15.934resolvedresolved1491612020-09-07 08:11:33.923ongoingresolved1491612020-09-07 08:12:19.887resolvedresolved1491612020-09-07 08:11:04.448ongoingresolved1491612020-09-07 08:09:17.211ongoingresolvedThe Solution

To achieve this, you can utilize a subquery that fetches the latest status for each r_id based on the most recent start_date. Here’s a straightforward SQL query that accomplishes this:

[[See Video to Reveal this Text or Code Snippet]]

Breakdown of the Query

Subquery: The subquery inside the parentheses fetches the status from last_statuses where the r_id matches the current row's r_id.

Ordering and Limiting: It then orders by start_date in descending order so that the most recent status appears first before limiting the results to just one record.

Main Query: The outer query retrieves the r_id, start_date, and current status, and adds the derived latestStat column directly from the subquery.

Performance Enhancement with Indexing

When implementing this solution, it's beneficial to consider the performance impact, especially with larger datasets. You can optimize the query using indexing. Here are some suggestions:

Index Creation: Create an index on the_table(r_id, start_date DESC). This significantly enhances performance as it allows PostgreSQL to more efficiently search through the records.

Alternative Indexing: Alternatively, you can create an index on the_table(r_id, start_date), but note that it will be slightly slower as it will have to scan the data backward.

Caution: Avoid creating both indexes simultaneously, as it may unnecessarily complicate and bloat your database.

Conclusion

In summary, extracting the latest record based on a date in PostgreSQL is a straightforward process when you harness the power of subqueries. By following this guide, you can efficiently retrieve the most recent records and maintain a clear overview of your data. Don’t forget to implement indexing strategies to ensure your queries perform optimally, even as your dataset grows. Happy querying!

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