How to Group Timestamps into 5-Minute Intervals for Count Queries?

Group timestamps by 5 minute intervals for count queries

Question:

A query to count the number of occurrences of John in a specific time range, but the result is an ungrouped timestamp and its count. The goal is to group results into 5-minute intervals.

Solution:

To group results into 5-minute intervals, you can use MySQL and PostgreSQL with a specific syntax:

PostgreSQL:

SELECT
    date_trunc('minute', timestamp) + INTERVAL '5 minutes' * (EXTRACT(MINUTE FROM timestamp)::integer / 5) AS five_minute_interval,
    name,
    COUNT(b.name)
FROM time a, id 
WHERE …
GROUP BY five_minute_interval, name
ORDER BY five_minute_interval;

MySQL:

SELECT
    FROM_UNIXTIME(FLOOR(UNIX_TIMESTAMP(timestamp) / 300) * 300) AS five_minute_interval,
    name,
    COUNT(b.name)
FROM time a, id
WHERE …
GROUP BY five_minute_interval, name
ORDER BY five_minute_interval;

In both queries, the GROUP BY clause is grouped by the rounded result of the timestamp divided by 300 (representing a 5-minute interval). This effectively creates 5-minute bins for the timestamps and assigns each timestamp to the corresponding bin. PostgreSQL uses the date_trunc function to handle truncation and grouping of timestamps more cleanly, while MySQL uses the FROM_UNIXTIME and FLOOR functions to achieve the same functionality.

Output:

The output will now show results grouped by 5-minute intervals, and a corresponding count of the number of occurrences of John:

<code>five_minute_interval       name  COUNT(b.name)
------------------------  ----  -------------
2010-11-16 10:30:00       John  2
2010-11-16 10:35:00       John  10
2010-11-16 10:40:00       John  0
2010-11-16 10:45:00       John  8
2010-11-16 10:50:00       John  0
2010-11-16 10:55:00       John  11</code>

Note: The WHERE … part in the code needs to be replaced with your query conditions according to the actual situation. Additionally, to ensure readability of the results, the ORDER BY five_minute_interval clause is added. Improved SQL statements more accurately implement grouping at 5-minute intervals and avoid potential rounding errors.

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