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How to Efficiently Extract the Top N Records from Grouped Data?

Barbara Streisand
Barbara StreisandOriginal
2025-01-25 10:05:09268browse

How to Efficiently Extract the Top N Records from Grouped Data?

The top records in the high -efficiency extraction of group data

Assume that there is a structured data set, including personnel, grouping, and age. This article discusses how to obtain the former N individual in each group according to age.

Expected results:

The goal is to retrieve the two oldest individuals in each group.

Existing solution:

The previous method (inspired by the query proposed by @Bohemian) to retrieve a single top line for each group:

Enhanced solution using Union:

<code class="language-sql">select * 
from (select * from mytable order by `Group`, Age desc, Person) x
group by `Group`</code>
One way to extend this function is to use the Union All operator, so that the record of the specified quantity for each group can be retrieved:

Use the alternative of the line number:

Another method is to generate a line number for each record, and then screen according to this line number:
<code class="language-sql">(
  select *
  from mytable 
  where `group` = 1
  order by age desc
  LIMIT 2
)
UNION ALL
(
  select *
  from mytable 
  where `group` = 2
  order by age desc
  LIMIT 2
)</code>

Conclusion:

Based on specific requirements and data features, both UNION and line number technology provide effective solutions to retrieve top records in the group results.

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