Re: Best design for performance - Mailing list pgsql-performance

From Riaan Stander
Subject Re: Best design for performance
Date
Msg-id 113e6bde-6595-44b8-79a4-992a2eea4c27@exa.co.za
Whole thread Raw
In response to Re: Best design for performance  (Claudio Freire <klaussfreire@gmail.com>)
Responses Re: Best design for performance  (Claudio Freire <klaussfreire@gmail.com>)
List pgsql-performance
On 28 Mar 2017 4:22 AM, Claudio Freire wrote:
From: Claudio Freire [mailto:klaussfreire@gmail.com]

How did you query the table's size? You're probably failing to account for TOAST tables.

I'd suggest using pg_total_relation_size.
...
On Mon, Mar 27, 2017 at 10:17 PM, Riaan Stander <rstander@exa.co.za> wrote:
I'm using the first query from here.
https://wiki.postgresql.org/wiki/Disk_Usage
Please don't top post.

It's a surprisingly big difference. TOAST could be compressing the
array, but I wouldn't expect it to be that compressible. Do you have
any stats about the length of the site array per row?

The plan is to do the rights checking in the application. The join solution gets used for reports to filter data & client adhoc queries.
Especially for reporting queries, you want the planner's stats to be
as accurate as possible, and placing a literal sites arrays in the
query in my experience is the best way to achieve that. But that is
indeed limited to reasonably small arrays, thereby the need to have
both variants to adapt the query to each case.

If you can't afford to do that change at the application level, I
would expect that the original schema without the array should be
superior. The array hides useful information from the planner, and
that *should* hurt you.

You'll have to test with a reasonably large data set, resembling a
production data set as much as possible.


I did some more testing on this. My primary concern that not all the data was there in the array version, but after doing some extensive testing all seems to be there.

I've done some comparisons vs the SQL Server version too.
SQL Sever Table with over 700mil records:

CREATE TABLE [dbo].[usrUserRights]  (
     [UserId]   [dbo].[dm_Id] NOT NULL,
     [SiteId]   [dbo].[dm_Id] NOT NULL,
     [RightId]  [dbo].[dm_Id] NOT NULL,
     CONSTRAINT [pk_usrUserRights_UserId_RightId_SiteId] PRIMARY KEY CLUSTERED([UserId],[RightId],[SiteId])

);

Takes
23GB for data and 200MB for indexes.

Postgres table with over 700mil records:

CREATE TABLE security.user_right_site2
(
    user_id bigint NOT NULL,
    right_id bigint NOT NULL,
    site_id bigint NOT NULL
);
create index on security.user_right_site2(user_id, right_id);

Takes 35GB data and 26GB index, for a total of 61GB.

That is quite a large increase over SQL Server storage. Am I missing something? Makes me worry about the rest of the database we still have to convert.

Postgres Array version ends up with only 600k records, due to aggregation:
CREATE TABLE security.user_right_site
(
    user_id bigint NOT NULL,
    right_id bigint NOT NULL,
    sites bigint[]
);
create index on security.user_right_site(user_id, right_id);

Takes 339Mb data, 25Mb index and 2240Mb TOAST

Regarding the Array length for each of these. They currently have max 6500 site ids.

Regards
Riaan

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