Is there a way to group by one minute periods in MySQL using unix timestamps?

I have a MariaDB database holding some data for a game and I wanted to use Grafana to graph out how many rows have been inserted every minute. I’m using a Node.js script to fetch the data every minute from the game’s Public API and insert it into my db, however I can’t figure out how to get MySQL to output something that works with Grafana. What I need it to do is output a table with a column for the number of new inserts and the time at the start of the one minute window. My DB looks something like this:

| auction_id | seller | buyer | timestamp | price | bin | item_bytes |

I have a working query for returning the number of new inserts for the current data supplied by the API, however I can’t figure out how to get the historical data for the past minutes. The output I’m looking for would look something like this:

| new inserts |   timestamp   |
|     234     | 1625373706053 |
|     684     | 1625373666053 |
|     720     | 1625373626053 |
|     403     | 1625373586053 |

Notice how the timestamp goes down by 60,000 every row, which is equivalent to 60 seconds, or a minute. I have tried using GROUP BY and almost every other solution I could find on StackOverflow and other sites, however it still doesn’t work.

Please don’t hesitate to comment if I wasn’t clear enough.


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Method 1

You may use UNIX_TIMESTAMP to convert your milliseconds-since-epoch values into a bona fide datetime. Then, aggregate by minute to get the counts:

    COUNT(*) AS `new inserts`,
    FROM_UNIXTIME(timestamp / 1000, '%Y-%m-%d %H:%i') AS ts_minute
FROM yourTable
GROUP BY ts_minute
ORDER BY ts_minute;

All methods was sourced from or, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0

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