UPDATE large number of rows in time series data

columnA = columnA/1000,
columnB = columnB/1000,
columnC = columnC/1000,
columnD = columnD/1000,
columnE = columnE/1000
WHERE timestamp between '2010-01-01 00:00:00' and '2020-10-07 23:59:59'

It is a production database. Any idea how do it in a way that it updates slowly and other application queries can run side-by-side?

I’m not sure what you mean. Can you clarify?

SingleStore can run that really fast but other concurrent readers can run at the same time and they won’t block. We use multi-version concurrency control to allow this. So there may not really be any problem to solve, it should just work.

If you really have a problem, you can use resource governor to run the update and put a hard CPU limit on the connection where you run the update.