Hi, Carlo,
Carlo Stonebanks wrote:
>> Did you think about putting the whole data into PostgreSQL using COPY in
>> a nearly unprocessed manner, index it properly, and then use SQL and
>> stored functions to transform the data inside the database to the
>> desired result?
>
> This is actually what we are doing. The slowness is on the row-by-row
> transformation. Every row reqauires that all the inserts and updates of the
> pvious row be committed - that's why we have problems figuring out how to
> use this using SQL set logic.
Maybe "group by", "order by", "distinct on" and hand-written functions
and aggregates (like first() or best()) may help.
You could combine all relevant columns into an user-defined compund
type, then group by entity, and have a self-defined aggregate generate
the accumulated tuple for each entity.
Markus
--
Markus Schaber | Logical Tracking&Tracing International AG
Dipl. Inf. | Software Development GIS
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