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Message Posted: Tue, 15 Jan 2002 @ 21:21:13 GMT
i think you're problem was the JOIN, you join on NON-Unique columns on both sides of your join-condition. This will result in a kind of product-Join joining _all_ the records from Table1 with the value X with _all_ the records from Table2 with the value X, e.g. 5 records with BAN 1 in Table_1 and 4 records with BAN 1 in Table_2 results in 4*5 records in Spool. The working final version is creating DISTINCT list of BANs _before_ doing the join.
A hint using DISTINCT or GROUP BY:
DISTINCT is usually better if there's just a small number of rows/value, GROUP BY performs better, if there's a large number of rows/value. The reason: DISTINCT redistributes the spool _before_ eliminating duplicates,
GROUP BY eliminates duplicates in the first step locally on the AMPs before redistributing the spool for the final aggregation. There is even a formula somewhere in the manuals to calculate the number of values which fit in the local aggregate cache.
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