Probably not very constructive, but would there be a straightforward way of
partitioning your instance into two (as a worst case solution)?

On Wed, Oct 12, 2016 at 4:03 PM, Abdul karim Jaafar <
abdulkarim.jaafa...@gmail.com> wrote:

> Dears,
> Actually we have a lot of data sets that need different category
> combination (attribute), because we need to use filter in reporting (data
> visualizer, pivot table) to multi data elements so reliance on event forms
> (programs) can't be useful for project like POLIO, AIRI that we work on,
>
> and we use it for programs that need tracking like health information
> system and community health programs
> so we have too much categoryoptioncombo,
>
> also we have in one program over than 1300 dataelement 500 of them in
> multi stages that make this program huge, I faced a problem because of this
> (more than 1600 column in PostgreSQL) and I fixed it, but analytics after
> that take more time. however analytic period problem happen before that.
>
> Actually I don't know what to do!
>
> Regadrs,
> Abdul karim,
>
> -----Original Message-----
> From: Dhis2-users [mailto:dhis2-users-bounces+abdulkarim.jaafar87=
> gmail....@lists.launchpad.net] On Behalf Of Uwe Wahser
> Sent: Wednesday, October 12, 2016 4:06 PM
> To: Knut Staring <knu...@gmail.com>; Jason Pickering <
> jason.p.picker...@gmail.com>
> Cc: dhis2-users@lists.launchpad.net
> Subject: Re: [Dhis2-users] long period of analytics
>
> That's a good point, Jason: a few months ago we tried under a similar
> hardware setting to run the system with around 350.000
> categoryOptionCombinations.
> Although it was possible to create all of the combinations (keeping the
> process alive for 5 days), DHIS2 started to behave funny in a lot of ways
> (analytics worked, though).
>
> Better try to split your categories into categoryOptionCombinations and
> attributeOptionCombinations. categories where you might add new options go
> into categoryOptionCombinations, categories which will certainly not change
> (e.g.
> age, gender) go into attributeOptionCombinations. That way you split the
> possible combinations into two chunks. I our example we have 52,800
> categoryOptionCombinations and 64,800 attributeOptionCombinations (which
> runs without a problem), where we'd theoretically have over 3 billion
> combinations if they were combined.
>
> For our next data-cube we might try using anonymous events for these data,
> as Jason suggested, which might get rid of the problem of pre-defind
> cat-combinations.
>
> Regards, Uwe
>
> > Jason Pickering <jason.p.picker...@gmail.com> hat am 12. Oktober 2016
> > um 15:38
> > geschrieben:
> >
> >
> > Just to confirm,
> >
> > _Categoryoptioncomboname: 437689 rows
> >
> > You would seem to have an extraordinary number of category combos. Is
> > this correct?
> >
> > On Wed, Oct 12, 2016, 14:35 Knut Staring <knu...@gmail.com> wrote:
> >
> > > Maybe also test an upgrade?
> > >
> > > On 12 Oct 2016 14:22, "Uwe Wahser" <u...@wahser.de> wrote:
> > >
> > > Hi Abdul,
> > >
> > > I saw that you posted this already a few months ago - without
> > > success, as it seems. So let me just take a lucky guess, of what
> > > else you could try (that's what I'd try):
> > >
> > > - in catalina.out, can you identify a specific phase of the
> > > analytics run where most of the time is spent or is everything
> > > taking longer. Maybe with that detail info the DEV team can help you
> > > further.
> > > - can you try to list the available database indexes in your
> > > installation and compare with a fresh install of DHIS2.22 if any are
> > > missing?
> > > - can you try to rebuild/repair all the indexes in your installation
> > > (never tried this in PostgreSQL myself, though)
> > >
> > > Don't know if this makes sense, but better than nothing :-)
> > >
> > > Regards, Uwe
> > >
> > >
> > > > Abdul karim Jaafar <abdulkarim.jaafa...@gmail.com> hat am 12.
> > > > Oktober
> > > 2016 um
> > > > 12:22 geschrieben:
> > > >
> > > >
> > > > Dears all,
> > > >
> > > >
> > > >
> > > > I’ve been facing a problem with analytic period for over than two
> > > > months,
> > > >
> > > >
> > > >
> > > > And I didn’t find any solution for this problem.
> > > >
> > > >
> > > >
> > > > I did a tuning for Postgres and every week I did maintains from
> > > > data administration, also there is no problems in data integrity.
> > > >
> > > >
> > > >
> > > > But the analytic period is increasing gradually for over than 20
> > > > hours
> > > >
> > > >
> > > >
> > > > I don’t know what are thing that increase the period for analytics
> > > > table update.
> > > >
> > > >
> > > >
> > > > we have:
> > > >
> > > > Tracked entity instance: 97358
> > > >
> > > > Tracked entity data value: 1872790
> > > >
> > > > Tracked entity attribute data value: 1217314
> > > >
> > > > Data value: 614956
> > > >
> > > >
> > > >
> > > > Also I have these rows in table below:
> > > >
> > > > _Categoryoptioncomboname: 437689 rows
> > > >
> > > > Categoryombos_optioncombos: 669471 rows
> > > >
> > > >
> > > >
> > > > We did hosting in our own server kindly look for information below:
> > > >
> > > > DHIS2, Database and hosting information:
> > > >
> > > > Version: 2.22
> > > >
> > > > Build revision: 22090
> > > >
> > > > Environment variable:DHIS2_HOME
> > > >
> > > > External configuration directory:/home/dhis/config
> > > >
> > > > File store provider: filesystem
> > > >
> > > > Database type: PostgreSQL
> > > >
> > > > Database name: dhis2
> > > >
> > > > Database user: dhis
> > > >
> > > > Java opts: -Xmx16000m -Xms8000m
> > > >
> > > > Java home: /usr/lib/jvm/java-8-oracle/jre
> > > >
> > > > Java temporary directory: /home/dhis/tomcat-dhis/temp
> > > >
> > > > Java version: 1.8.0_101
> > > >
> > > > Java vendor: Oracle Corporation
> > > >
> > > > OS name: Linux
> > > >
> > > > OS architecture: amd64
> > > >
> > > > OS version: 4.4.0-34-generic
> > > >
> > > > Server memory: Mem Total in JVM: 10237 Free in JVM: 8507 Max
> > > > Limit: 14222
> > > >
> > > > CPU cores:12
> > > >
> > > > Users information:
> > > >
> > > > There are: 63 users
> > > >
> > > > User role: 13
> > > >
> > > >
> > > >
> > > > I think this volume data not too much to effects the analytics.
> > > >
> > > >
> > > >
> > > > Any solutions please?
> > > >
> > > >
> > > >
> > > >
> > > >
> > > > Best regards,
> > > >
> > > > _______________________________________________
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>
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>


-- 
Knut Staring
Dept. of Informatics, University of Oslo
Norway: +4791880522
Skype: knutstar
http://dhis2.org
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