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Home/ Questions/Q 7910891
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Editorial Team
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Editorial Team
Asked: June 3, 20262026-06-03T13:02:45+00:00 2026-06-03T13:02:45+00:00

Table one: 35 million records Table two: 1,6 million records I’m executing an update

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Table one: 35 million records
Table two: 1,6 million records

I’m executing an update query in table one based upon 3 equalities. Both tables are pure data colls without any keys.

`UPDATE table1,table2
SET table1.TravelTime=table2.CongestionTime
WHERE table1.From = table2.From
AND table1.To = table2.To
AND table1.Time= table2.Time`

Yet this operation seems to be doomed to be slow. Is there a way to be creative to speed up this process?

Currently a query is running at a mere 300 updates/second suggesting it would take 33 hours to complete this query.

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  1. Editorial Team
    Editorial Team
    2026-06-03T13:02:46+00:00Added an answer on June 3, 2026 at 1:02 pm

    Both tables are pure data colls without any keys.

    I think you just said it there. You need indexes to get good performance when working with this amount of data.

    Try adding multi-column indexes:

    • (From, To, Time) for Table1.
    • (From, To, Time, CongestionTime) for Table2.

    You may also want to consider if it is appropriate to add a foreign key constraint.

    Related documentation

    • CREATE INDEX Syntax
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