From: | Gokulakannan Somasundaram <gokul007(at)gmail(dot)com> |
---|---|
To: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
Cc: | Karl Schnaitter <karlsch(at)gmail(dot)com>, pgsql-hackers list <pgsql-hackers(at)postgresql(dot)org> |
Subject: | Re: A thought on Index Organized Tables |
Date: | 2010-02-26 06:19:12 |
Message-ID: | 9362e74e1002252219q5a2ee8fex8f8d34d790c9d4e6@mail.gmail.com |
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>
>
> Proving that a set of comparison operators are consistent just by
> examining their runtime behavior is probably equivalent to solving the
> halting problem. I can't see us doing it, or wanting to accept the
> overhead of checking it even if it could be done.
>
The overhead of checking is very minimal. When we update, we have to just
carry the tuple id of the heaptuple and insert transaction id. We check
whether they are same with the index snapshot. If it is not same, then we
will go ahead and start treating this index as either dropped / as a normal
index ( without snapshot ). Since the overhead of dropping / marking it as
normal index will occur very rarely, we need not be concerned about that
performance impact ( i suppose). The overhead of checking is going to be
there only on suspicious user defined functions. ( We can have a flag for
is_suspicious )
>
> To be a bit more concrete: the typical sort of failure that you could
> get from broken btree operators is failure of transitivity, that is
> the comparators report A < B and B < C for some A, B, C, but do not say
> that A < C when those two values are compared directly. I don't see any
> convenient way to detect that as a byproduct of normal index operations,
> because you wouldn't typically have a reason to make all three
> comparisons in close proximity. Indeed, the searching and sorting
> algorithms do their best to avoid making "redundant" comparisons of that
> kind.
>
> I am not saying that we should do analysis of runtime behavior. I am saying
that, we would provide a set of built-in functions which will be always
stable (with some flag in pg_proc) . We will scan the provided function for
any functions that are not in the stable set provided, when it gets created.
Now if the function has one such function, then it is declared as
suspicious to be broken/volatile.
Thanks for the reply,
Gokul.
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