Re: SQL report

Did you look at the query plans for the various record counts? That
might show which index is missing or misinformed :). I wonder if
clustering the status table on objectid would help? This does then
require maintenance so you might only load it at 75%.

wkipjohn(at)gmail(dot)com wrote:
> Hi Rob,
>
> I have default B-Tree indexes created for each of the indexed columes
> and primary key columes. (No multiple columes indexe or NULL FIRST or
> DESC/ASC). I am using PostgreSQL 8.3 with the auto vacuum daemon on. I
> assume analyse will be automatically run to collect statistics for use
> by the planner and there is no maintainance for B-tree indexes once it
> is created. (Please point me out if I am wrong about this)
>
> I will probably try to partition the status table to group more recent
> status records together to minimize the dataset I am querying.
>
> Thx
> John
>
>
> On Jul 31, 2009 1:16am, Rob Sargent <robjsargent(at)gmail(dot)com> wrote:
> > I would be curious to know the performance curve for let's say 20K,
> 40K , 60K, 80K, 100K records. And what sort of indexing you have,
> whether or not it's clustered, re-built and so on.
> >
> >
> >
> > One could envision partitioning the status table such that recent
> records were grouped together (on the assumption that they will be
> most frequently "reported").
> >
> >
> >
> > wkipjohn(at)gmail(dot)com wrote:
> >
> >
> > I have the following senario.
> >
> >
> >
> > I have a tracking system. The system will record the status of an
> object regularly, all the status records are stored in one table. And
> it will keep a history of maximum 1000 status record for each object
> it tracks. The maximum objects the system will track is 100,000. Which
> means I will potentially have a table size of 100 million records.
> >
> >
> >
> > I have to generate a report on the latest status of all objects
> being tracked at a particular point in time, and also I have to allow
> user to sort and filter on different columes in the status record
> displayed in the report.
> >
> >
> >
> > The following is a brief description in the status record (they are
> not actual code)
> >
> >
> >
> > ObjectRecord(
> >
> > objectId bigint PrimaryKey
> >
> > desc varchar
> >
> > )
> >
> >
> >
> > StatusRecord (
> >
> > id bigint PrimaryKey
> >
> > objectId bigint indexed
> >
> > datetime bigint indexed
> >
> > capacity double
> >
> > reliability double
> >
> > efficiency double
> >
> > )
> >
> >
> >
> > I have tried to do the following, it works very well with around
> 20,000 objects. (The query return in less than 10s) But when I have
> 100,000 objects it becomes very very slow. (I don't even have patience
> to wait for it to return.... I kill it after 30 mins)
> >
> >
> >
> > select * from statusrecord s1 INNER JOIN ( SELECT objectId ,
> MAX(datetime) AS msdt FROM statusrecord WHERE startDatetime
> >
> >
> > I did try to write a store procedure like below, for 100,000 objects
> and 1000 status records / object, it returns in around 30 mins.
> >
> >
> >
> > CREATE OR REPLACE FUNCTION getStatus(pitvalue BIGINT) RETURNS SETOF
> statusrecord AS $BODY$
> >
> > DECLARE
> >
> > id VARCHAR;
> >
> > status statusrecord%ROWTYPE;
> >
> > BEGIN
> >
> > FOR object IN SELECT * FROM objectRecord
> >
> > LOOP
> >
> > EXECUTE 'SELECT * FROM statusrecord WHERE objectId = ' ||
> quote_literal(object.objectId) ||
> >
> > ' AND datetime
> > INTO status;
> >
> > IF FOUND THEN
> >
> > RETURN NEXT status;
> >
> > END IF;
> >
> > END LOOP;
> >
> > RETURN;
> >
> > END
> >
> > $BODY$ LANGUAGE plpgsql;
> >
> >
> >
> > Just wanna to know if anyone have a different approach to my
> senario. Thanks alot.
> >
> >
> >
> > John
> >
> >