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Скачать или смотреть Resolving Oracle SQL Query to Show Count = 0 with Group By

  • vlogize
  • 2025-03-19
  • 5
Resolving Oracle SQL Query to Show Count = 0 with Group By
oracle query not getting count as 0 with group by and count query instead getting empty rowsqloraclegroup byoracle sqldeveloperaggregate functions
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Описание к видео Resolving Oracle SQL Query to Show Count = 0 with Group By

Learn how to modify your Oracle SQL query to return a `Count = 0` when using Group By, even when there’s no data present.
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This video is based on the question https://stackoverflow.com/q/75544571/ asked by the user 'shashikant kuswaha' ( https://stackoverflow.com/u/7820028/ ) and on the answer https://stackoverflow.com/a/75544994/ provided by the user 'Littlefoot' ( https://stackoverflow.com/u/9097906/ ) 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: oracle query not getting count as 0 with group by and count query , instead getting empty row

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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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Resolving Oracle SQL Query to Show Count = 0 with Group By

When working with databases, particularly with SQL queries, you might encounter scenarios where you want to count records but end up getting an empty row instead of a Count = 0. This situation can be frustrating, especially when you're expecting to see a clear indication that no data meets your criteria.

The Problem: Count Not Returning Zero

Imagine you are querying a table named test, and you want to fetch a count of records for a specific location-, but there's no data that satisfies your conditions. For example:

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

In this scenario, if there are no records with cny- equal to 1 and location- equal to 83, you will receive an empty result. However, you want the output to indicate that the count is zero, like so:

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

The Expected Output

You desire your results to show that there are no records available for location- = 83, which translates to a count of zero:

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

The Solution: Using a Left Join

To achieve the desired result, we can utilize an OUTER JOIN approach. Here’s how it works:

Creating a Self-Join: We can create a self-join that allows us to include all possible locations while counting the actual records that meet the criteria.

Using Count with Distinct: By counting distinct identifiers for the joined records, we can get a count of zero even if no rows exist for the specified group.

Here’s how to implement this:

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

Explanation of the Query

Outer Join: The LEFT JOIN ensures that all location- values from the a alias are included, regardless of whether there's a match in b.

Count Distinct: This counts the unique rowid values in b, which effectively gives you a total of matching records (or zero if there are none).

Filtering: The WHERE clause restricts the main query to only show results for location- = 83.

Result of the Query

With the above query, if there are no records for cny- = 1 and location- = 83, the output would display:

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

Conclusion

In summary, when facing issues with getting counts of zero in Oracle SQL queries, consider using a self-join alongside a left join. This method enables you to return explicit counts, including zero, for specified conditions. By adjusting your query in this way, you can eliminate the frustration of receiving empty rows and ensure your outputs are informative and complete.

With this approach, you can effectively handle the challenges associated with counting records in your SQL queries!

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