Am 04.07.2010 06:11, wrote Tom Lane:
> ... but is it representative of real-world cases?
> regards, tom lane
we do run an application in productive use that suffered from a similar effect.
We did not have 1000000 updates per row, but 10-100 updates per row on about 1-10 million rows of a table.
In the end we managed to increase performance by factor of more than two
by adding support to the application to track updates internally and only "flush" changes to the database
at the (final) application commit.
This did cost a lot as now we needed to adjust queries on the table with data stored internally
(as not yet reflected in the database). This still is more efficient as updating and performing operation an the database
directly. (e.g. an update using the primary key of the table (about 50 million rows total) would have lasted over 3 seconds(!)
while initially the very same update was done within far below 1ms).
So I think this could qualify as a real world example of that case.
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