Re: Proposed Patch to Improve Performance of Multi-BatchHash Join for Skewed Data Sets - Mailing list pgsql-hackers

From Bryce Cutt
Subject Re: Proposed Patch to Improve Performance of Multi-BatchHash Join for Skewed Data Sets
Date
Msg-id 1924d1180812292129v2d973b05rf319f3dc4049a5be@mail.gmail.com
Whole thread Raw
In response to Re: Proposed Patch to Improve Performance of Multi-BatchHash Join for Skewed Data Sets  ("Robert Haas" <robertmhaas@gmail.com>)
Responses Re: Proposed Patch to Improve Performance of Multi-BatchHash Join for Skewed Data Sets  ("Robert Haas" <robertmhaas@gmail.com>)
List pgsql-hackers
Here is the next patch version.

The naming and style concerns have been addressed.  The patch now only
touches 5 files.  4 of those files are hashjoin specific and 1 is to
add a couple lines to a hashjoin specific struct in another file.

The code can now find the the MCVs in more cases.  Even if the probe
side is an operator other than a seq scan (such as another hashjoin)
the code can now find the stats tuple for the underlying relation.

The new idea of limiting the number of MCVs to a percentage of memory
has not been added yet.

- Bryce Cutt


On Mon, Dec 29, 2008 at 8:55 PM, Robert Haas <robertmhaas@gmail.com> wrote:
>> I think that setting aside a minimum percentage of work_mem may be a
>> reasonable approach.  For instance, setting aside 1% at even 1 MB
>> work_mem would be 10 KB which is enough to store about 40 MCV tuples of
>> the TPC-H database.  Such a small percentage would be very unlikely (but
>> still possible) to change the number of batches used.  Then, given the
>> memory allocation and the known tuple size + overhead, only that number
>> of MCVs are selected for the MCV table regardless how many there are.
>> The MCV table size would then increase as work_mem is changed up to a
>> maximum given by the number of MCVs.
>
> Sounds fine.  Maybe 2-3% would be better.
>
>> The code when building the MCV hash table keeps track of the order of
>> insertion of the best MCVs.  It then flushes the MCV partitions in
>> decreasing order of frequency of MCVs.  Thus, by the end of the build
>> partitioning phase the MCV hash table should only store the most
>> frequent MCV tuples.  Even with many-to-many joins as long as we keep
>> all build tuples that have a given MCV in memory, then everything is
>> fine.  You would get into problems if you only flushed some of the
>> tuples of a certain MCV but that will not happen.
>
> OK, I'll read it again - I must not have understood.
>
> It would be good to post an updated patch soon, even if not everything
> has been addressed.
>
> ...Robert
>

Attachment

pgsql-hackers by date:

Previous
From: Peter Eisentraut
Date:
Subject: Re: about truncate
Next
From: Simon Riggs
Date:
Subject: Re: Synchronous replication, network protocol