RE: Processing new rows in staging table quickly...
Date: Thu, 18 Apr 2019 11:36:36 -0500
Message-ID: <02ea01d4f604$e5d72010$b1856030$_at_gmail.com>
Yeah I guess that would solve the problem. I hadn't thought too hard about that aspect yet but I probably don't need the data around after it's processed.
Thanks for the advice, it will be used elsewhere if not in this table.
From: Reen, Elizabeth <elizabeth.reen_at_citi.com>
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Subject: RE: Processing new rows in staging table quickly...
Staging tables should always be cleaned up. Otherwise theygrow and get unwieldy.
Liz
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Subject: Re: Processing new rows in staging table quickly...
I agree about not overloading the date column and also was wondering why there's data being left in the staging table.
If the PROCESSED column has a default of 'N', and you update that to NULL to mean processed it keeps the index very small and efficient. Remember to document/comment that NULL means processed! Failing that, make sure you have a frequency histogram on the PROCESSED column.
Neil.
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Sent: 18 April 2019 09:44
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Subject: Re: Processing new rows in staging table quickly...
The FBI approach will work just fine. Personally, I'd probably do one of the following:
- add a "PROCESSED" column accepting 'Y' or 'N' and index/query on that, Mostly for human readability.
- ask, if this is a "staging" table why are there ever any "processed" rows left in it.
On Thu, Apr 18, 2019 at 12:33 AM <post.ethan_at_gmail.com
<mailto:post.ethan_at_gmail.com> > wrote:
I have a staging table in which 99% of the rows are going to have a date for stats_processed_time.
I will need to only select for rows that have not been processed.
What is the best strategy here? Should I allow nulls and select like below? Or should I put a date, way out in the future, say 2099, and select for that instead and then update to correct data once things are processed? Perhaps allow nulls and a bitmap or FBI solution (I would like to avoid solutions which can't be ported to Postgres.)
.
where b.access_key=v_access_key
and b.bucket=v_bucket
and b.stats_processed_time is null
-- Niall Litchfield Oracle DBA http://www.orawin.infoReceived on Thu Apr 18 2019 - 18:36:36 CEST
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