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Directly in the SQL. We use Designer TAPI autosequence generation for
day-to-day operations, but triggers slow down inserts and of course can't
be enabled for direct path inserts.
Adam
Jared.Still_at_radisys.com
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Re: anyone use pipelined functions?
That would be cool if you have time for it.
Re the sequence: is it assigned in a trigger, or directly in the SQL?
AdamDonahue_at_maximus.com
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12/31/2003 11:19 AM
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In the interests of documentation, and if I have time, I could engineer a similar 'dumb' procedure, perform trace as each modification is made, and post the results here. It's pretty easy to come up with an artificial routine, though, to do this kind of analysis oneself. Use Tom Kyte's BIG_TABLE approach, and then create a procedure to populate a separate table using single-row inserts, and subsequently, an insert append.
Adam
Jared.Still_at_radisys.com
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Re: anyone use pipelined functions?
Fantastic results Adam.
You didn't perhaps do interim testing did you, so that you know how much of the benefit was due to the pipelined functions?
You made quite a few changes, and a breakdown of the the benefits of each would be interesting to see.
Jared
AdamDonahue_at_maximus.com
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I recently rewrote a poor-performing data load procedure (with single row inserts, commit batches of 2000) to a pipelined table function, which enabled insert /*+ append */ into the target table, which greatly enhanced
performance. The original routine contained an embedded select, a second select using a top-level select key, and then a large loop with data operations culminating with an insert of each row (and sequence value generation). The routine took about four hours to run.
I joined the queries into a single inner join select, parallelized; added a cache to the sequence (which had been set to zero); added a second index
to the source table to enable FFS; engineered the function to leverage pipelining (moving the to an insert /*+ append */ into ... select * from table( function ); made the requisite modifications to the target table, and reran the load. The time came down to about 25 minutes. The total work spent in engineering the procedure was about 2 hours, so the work put
into tuning it + its improved runtime came in at less than the total original runtime! (Of course, this does not include reenabling constraints, triggers, etc., but these things bring the total runtime up to about ~1 hour in this case, still an improvement.)
The benefit-cost ratio here was quite high!
Adam
<ryan_oracle_at_cox.net>
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anyone use pipelined functions?
I read the little blurb in the 9i new features on it. The example there doesnt seem very useful. What have people used it for?
any good articles with good examples on this?
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