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independIT Integrative Technologies GmbH
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Geschäftsführer:
Dieter Stubler, Dipl. Inform. (FH)
Ronald Jeninga, Diplom Mathematiker
Hi Ronald,
Your first message did not get through.
Thanks. I've never considered using heap as a primary storage structure
except for audit type logs.
Paul
ps. You can be invisible and incomprehensible if you pick wingdings with
white foreground and background.
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-----Original Message-----
From: info-ingres-bounces@ams.org [mailto:info-ingres-bounces@ams.org]On
Behalf Of Ronald Jeninga
Sent: Wednesday, 28 July 2004 4:40 PM
To: info-ingres@ams.org
Subject: Re: [Info-Ingres] insert performance
Are my postings visible to anyone ? or is my english so bad that all
I say is incomprehensible? (The problem now of course is, if noone answers,
I still don't know whether I am invisible or incomprehensible).
Ronald
> Hi,
>
[quoted text clipped - 71 lines]
> Dieter Stubler, Dipl. Inform. (FH)
> Ronald Jeninga, Diplom Mathematiker
--
independIT Integrative Technologies GmbH
Sitz der Gesellschaft: Schrobenhausen
HRB Neuburg B 1.521
Geschäftsführer:
Dieter Stubler, Dipl. Inform. (FH)
Ronald Jeninga, Diplom Mathematiker
_______________________________________________
Info-ingres mailing list
Roy Hann - 28 Jul 2004 09:21 GMT
> Hi Ronald,
> Your first message did not get through.
> Thanks. I've never considered using heap as a primary storage structure
> except for audit type logs.
Ronald's suggestion of using a heap with a B-tree secondary would have
solved the problem at hand just as well as what I suggested. And provided
the heap only ever grows (i.e. no deletes on it), and provided very little
insert concurrency were required, it would be a good solution.
Roy
Ronald Jeninga - 28 Jul 2004 09:31 GMT
Hi,
thank you for your prompt answer, now I have to figure out why I see my
postings and some others apparently do not, at least (and that's actually
even stranger) not all of my messages.
In my point of view you can perfectly use heap, with an index of course,
on tables where you don't delete rows on a large scale. Such tables tend
to grow very large. Large tables also tend to have many access paths, so
it'll be difficult to decide on some physical key anyway.
Scanning such tables entirely will be fastest if they are heap.
Reorganizing the indexes will cost the minimum temporary space.
Row retrieval is only slower compared to a btree structure if you query
the physical key.
Key lookups will be faster in an index than in an entire table.
I do not say it is always the best choice, I just say, it's a possibility
which can be considered seriously.
Ronald
> Hi Ronald,
> Your first message did not get through.
[quoted text clipped - 25 lines]
>
> Ronald

Signature
independIT Integrative Technologies GmbH
Sitz der Gesellschaft: Schrobenhausen
HRB Neuburg B 1.521
Geschäftsführer:
Dieter Stubler, Dipl. Inform. (FH)
Ronald Jeninga, Diplom Mathematiker