long period of analytics

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,

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 :slight_smile:

Regards, Uwe

···

Abdul karim Jaafar <abdulkarim.jaafar87@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,

_______________________________________________
Mailing list: https://launchpad.net/~dhis2-users
Post to : dhis2-users@lists.launchpad.net
Unsubscribe : https://launchpad.net/~dhis2-users
More help : https://help.launchpad.net/ListHelp

Maybe also test an upgrade?

···

On 12 Oct 2016 14:22, “Uwe Wahser” uwe@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 :slight_smile:

Regards, Uwe

Abdul karim Jaafar abdulkarim.jaafar87@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,


Mailing list: https://launchpad.net/~dhis2-users

Post to : dhis2-users@lists.launchpad.net

Unsubscribe : https://launchpad.net/~dhis2-users

More help : https://help.launchpad.net/ListHelp


Mailing list: https://launchpad.net/~dhis2-users

Post to : dhis2-users@lists.launchpad.net

Unsubscribe : https://launchpad.net/~dhis2-users

More help : https://help.launchpad.net/ListHelp

Just to confirm,

_Categoryoptioncomboname: 437689 rows

You would seem to have an extraordinary number of category combos. Is this correct?

···

On 12 Oct 2016 14:22, “Uwe Wahser” uwe@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 :slight_smile:

Regards, Uwe

Abdul karim Jaafar abdulkarim.jaafar87@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,


Mailing list: https://launchpad.net/~dhis2-users

Post to : dhis2-users@lists.launchpad.net

Unsubscribe : https://launchpad.net/~dhis2-users

More help : https://help.launchpad.net/ListHelp


Mailing list: https://launchpad.net/~dhis2-users

Post to : dhis2-users@lists.launchpad.net

Unsubscribe : https://launchpad.net/~dhis2-users

More help : https://help.launchpad.net/ListHelp

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.pickering@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 <knutst@gmail.com> wrote:

> Maybe also test an upgrade?
>
> On 12 Oct 2016 14:22, "Uwe Wahser" <uwe@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 :slight_smile:
>
> Regards, Uwe
>
>
> > Abdul karim Jaafar <abdulkarim.jaafar87@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,
> >
> > _______________________________________________
> > Mailing list: https://launchpad.net/~dhis2-users
> > Post to : dhis2-users@lists.launchpad.net
> > Unsubscribe : https://launchpad.net/~dhis2-users
> > More help : https://help.launchpad.net/ListHelp
>
> _______________________________________________
> Mailing list: https://launchpad.net/~dhis2-users
> Post to : dhis2-users@lists.launchpad.net
> Unsubscribe : https://launchpad.net/~dhis2-users
> More help : https://help.launchpad.net/ListHelp
>
> _______________________________________________
> Mailing list: https://launchpad.net/~dhis2-users
> Post to : dhis2-users@lists.launchpad.net
> Unsubscribe : https://launchpad.net/~dhis2-users
> More help : https://help.launchpad.net/ListHelp
>

Dears Uwe and knut,

  •      I actually tried new build for DHIS2 2.22 also I tried upgrading to 2.23 and 2.24 without any change in analytics period, in Catalina.out there is no error in analytics period, but the first step that according to ”organisationunit structure” takes too much time than the other steps also it create a lot of analytic tables like “analytics_event_2061_weonplpea8a” with no data and expectable  year “2061, 2006,2018,2010,2017”
    
  •      What do you mean by: “rebuild/repair all the indexes in my installation”, how can I do maintains to database
    

I thing the problem came from categoryoptioncombo when I’ve compared between these tables: _categoryoptioncomboname, categoryoptioncombo and > Categoryombos_optioncombos I found about two hundred thousand categoryoptioncomboid that not exist in table and not exist in others, also I noticed that analytic period increase when I add new category options to attribute categories.

Any idea?

···

From: Knut Staring [mailto:knutst@gmail.com]
Sent: Wednesday, October 12, 2016 3:35 PM
To: Uwe Wahser uwe@wahser.de
Cc: Abdul karim Jaafar abdulkarim.jaafar87@gmail.com; dhis2-users@lists.launchpad.net
Subject: Re: [Dhis2-users] long period of analytics

Maybe also test an upgrade?

On 12 Oct 2016 14:22, “Uwe Wahser” uwe@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 :slight_smile:

Regards, Uwe

Abdul karim Jaafar abdulkarim.jaafar87@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,


Mailing list: https://launchpad.net/~dhis2-users
Post to : dhis2-users@lists.launchpad.net
Unsubscribe : https://launchpad.net/~dhis2-users
More help : https://help.launchpad.net/ListHelp


Mailing list: https://launchpad.net/~dhis2-users
Post to : dhis2-users@lists.launchpad.net
Unsubscribe : https://launchpad.net/~dhis2-users
More help : https://help.launchpad.net/ListHelp

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.com@lists.launchpad.net] On Behalf Of Uwe Wahser
Sent: Wednesday, October 12, 2016 4:06 PM
To: Knut Staring <knutst@gmail.com>; Jason Pickering <jason.p.pickering@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.pickering@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 <knutst@gmail.com> wrote:

> Maybe also test an upgrade?
>
> On 12 Oct 2016 14:22, "Uwe Wahser" <uwe@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 :slight_smile:
>
> Regards, Uwe
>
>
> > Abdul karim Jaafar <abdulkarim.jaafar87@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,
> >
> > _______________________________________________
> > Mailing list: https://launchpad.net/~dhis2-users
> > Post to : dhis2-users@lists.launchpad.net
> > Unsubscribe : https://launchpad.net/~dhis2-users
> > More help : https://help.launchpad.net/ListHelp
>
> _______________________________________________
> Mailing list: https://launchpad.net/~dhis2-users
> Post to : dhis2-users@lists.launchpad.net
> Unsubscribe : https://launchpad.net/~dhis2-users
> More help : https://help.launchpad.net/ListHelp
>
> _______________________________________________
> Mailing list: https://launchpad.net/~dhis2-users
> Post to : dhis2-users@lists.launchpad.net
> Unsubscribe : https://launchpad.net/~dhis2-users
> More help : https://help.launchpad.net/ListHelp
>

_______________________________________________
Mailing list: https://launchpad.net/~dhis2-users
Post to : dhis2-users@lists.launchpad.net
Unsubscribe : https://launchpad.net/~dhis2-users
More help : https://help.launchpad.net/ListHelp

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.jaafar87@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.com@lists.launchpad.net] On Behalf Of Uwe Wahser

Sent: Wednesday, October 12, 2016 4:06 PM

To: Knut Staring knutst@gmail.com; Jason Pickering jason.p.pickering@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.pickering@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 knutst@gmail.com wrote:

Maybe also test an upgrade?

On 12 Oct 2016 14:22, “Uwe Wahser” uwe@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 :slight_smile:

Regards, Uwe

Abdul karim Jaafar abdulkarim.jaafar87@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,


Mailing list: https://launchpad.net/~dhis2-users

Post to : dhis2-users@lists.launchpad.net

Unsubscribe : https://launchpad.net/~dhis2-users

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Knut Staring

Dept. of Informatics, University of Oslo

Norway: +4791880522

Skype: knutstar

http://dhis2.org

Dear knut,

We can’t partitioning our instance into two because of requesting, but I’m planning to use multi DHIS2 databases and link it with one database, or I’ll start with new building to Database and DHIS2 by 2017, but all of these solutions will not fix the problem, because unit now I don’t know what does it appear from.

Note: for many times this problem fixed by itself I just change tomcat version, do maintain or update java but after restart server this problem return that’s makes it strange!

I thing this problem came from categoryoptionbombo because I had to remove some from DB and I added other and sometimes we forced to add new category to old category combination, so these table huge and I can’t control them, how to rebuild it without losing data, I tried to remove categoryoptioncombo that are not in _catergorycomboname but it have data! And by remove it analytic stop in first step and after few hours program and apps stop working no think work except the login form.

Regards,

Abdulkarim,

···

From: Knut Staring [mailto:knutst@gmail.com]
Sent: Wednesday, October 12, 2016 5:10 PM
To: Abdul karim Jaafar abdulkarim.jaafar87@gmail.com
Cc: Uwe Wahser uwe@wahser.de; Jason Pickering jason.p.pickering@gmail.com; dhis2-users@lists.launchpad.net
Subject: Re: [Dhis2-users] long period of analytics

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.jaafar87@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.com@lists.launchpad.net] On Behalf Of Uwe Wahser
Sent: Wednesday, October 12, 2016 4:06 PM
To: Knut Staring knutst@gmail.com; Jason Pickering jason.p.pickering@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.pickering@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 knutst@gmail.com wrote:

Maybe also test an upgrade?

On 12 Oct 2016 14:22, “Uwe Wahser” uwe@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 :slight_smile:

Regards, Uwe

Abdul karim Jaafar abdulkarim.jaafar87@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,


Mailing list: https://launchpad.net/~dhis2-users
Post to : dhis2-users@lists.launchpad.net
Unsubscribe : https://launchpad.net/~dhis2-users
More help : https://help.launchpad.net/ListHelp


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Knut Staring

Dept. of Informatics, University of Oslo

Norway: +4791880522

Skype: knutstar

http://dhis2.org

try this for index repair (after doing a backup):
https://www.postgresql.org/docs/9.5/static/sql-reindex.html

Regards, Uwe

···

Abdul karim Jaafar <abdulkarim.jaafar87@gmail.com> hat am 12. Oktober 2016 um
16:28 geschrieben:

Dears Uwe and knut,

- I actually tried new build for DHIS2 2.22 also I tried upgrading to
2.23 and 2.24 without any change in analytics period, in Catalina.out there is
no error in analytics period, but the first step that according to
”organisationunit structure” takes too much time than the other steps also it
create a lot of analytic tables like “analytics_event_2061_weonplpea8a” with
no data and expectable year “2061, 2006,2018,2010,2017”

- What do you mean by: “rebuild/repair all the indexes in my
installation”, how can I do maintains to database

I thing the problem came from categoryoptioncombo when I’ve compared between
these tables: _categoryoptioncomboname, categoryoptioncombo and >
Categoryombos_optioncombos I found about two hundred thousand
categoryoptioncomboid that not exist in table and not exist in others, also I
noticed that analytic period increase when I add new category options to
attribute categories.

Any idea?

From: Knut Staring [mailto:knutst@gmail.com]
Sent: Wednesday, October 12, 2016 3:35 PM
To: Uwe Wahser <uwe@wahser.de>
Cc: Abdul karim Jaafar <abdulkarim.jaafar87@gmail.com>;
dhis2-users@lists.launchpad.net
Subject: Re: [Dhis2-users] long period of analytics

Maybe also test an upgrade?

On 12 Oct 2016 14:22, "Uwe Wahser" <uwe@wahser.de <mailto:uwe@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 :slight_smile:

Regards, Uwe

> Abdul karim Jaafar <abdulkarim.jaafar87@gmail.com
> <mailto:abdulkarim.jaafar87@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,
>
> _______________________________________________
> Mailing list: https://launchpad.net/~dhis2-users
> Post to : dhis2-users@lists.launchpad.net
> <mailto:dhis2-users@lists.launchpad.net>
> Unsubscribe : https://launchpad.net/~dhis2-users
> More help : https://help.launchpad.net/ListHelp

_______________________________________________
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<mailto:dhis2-users@lists.launchpad.net>
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Yeah, I am not really sure what the problem could be, but the number of category option combos seems extremely large to me. Its on the same order of magnitude as the data values. I cannot imagine that you would ever actually use all of them. I think its a bit of a weakness perhaps in the the way these are generated for what seems like extremely highly disaggregated data. It may make more sense to only generate the category option combo, once it is used, rather than pre-generating many which will never be used. This is sort of the approach with periods. Periods are never generated until they are actually needed, otherwise, we might end up with many which are never actually used.

Are you sure that all of those cat option combos are indeed real? It would seem to result from many different levels of attribution, but perhaps its real? If so, its really a bit of the same problem which others have faced, with data which is very highly disaggregated, but with many of the disaggregates actually never used.

Not sure a good way around this really, other than confirming that none of the categoryoption combos are somehow orphaned.

Regards,

Jason

···

On Wed, Oct 12, 2016 at 4:03 PM, Abdul karim Jaafar abdulkarim.jaafar87@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.com@lists.launchpad.net] On Behalf Of Uwe Wahser

Sent: Wednesday, October 12, 2016 4:06 PM

To: Knut Staring knutst@gmail.com; Jason Pickering jason.p.pickering@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.pickering@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 knutst@gmail.com wrote:

Maybe also test an upgrade?

On 12 Oct 2016 14:22, “Uwe Wahser” uwe@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 :slight_smile:

Regards, Uwe

Abdul karim Jaafar abdulkarim.jaafar87@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,


Mailing list: https://launchpad.net/~dhis2-users

Post to : dhis2-users@lists.launchpad.net

Unsubscribe : https://launchpad.net/~dhis2-users

More help : https://help.launchpad.net/ListHelp


Mailing list: https://launchpad.net/~dhis2-users

Post to : dhis2-users@lists.launchpad.net

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Jason P. Pickering
email: jason.p.pickering@gmail.com
tel:+46764147049

Dear Abdul Karim

It seems that you are stuck up. It is really a large number of category option combos, and quite unusual off-course. We are using few very large tracker but we keep category option combos below 500. We have 10 million entity and the analytics required only 32 minutes.

Jason and Uwe are already express their opinion and I am fully in line with these two experts.

My first suggestion is drop and recreate _categoryoptioncomboname

Check the memory allocation and use of postgresql and let me know. Usually the reason form delay lies in the postgres end. Earlier I have similar situation earlier. Can you send me the tomcat memory use as well.

Regards

Hannan

···

On Wed, Oct 12, 2016 at 9:20 PM, Jason Pickering jason.p.pickering@gmail.com wrote:

Yeah, I am not really sure what the problem could be, but the number of category option combos seems extremely large to me. Its on the same order of magnitude as the data values. I cannot imagine that you would ever actually use all of them. I think its a bit of a weakness perhaps in the the way these are generated for what seems like extremely highly disaggregated data. It may make more sense to only generate the category option combo, once it is used, rather than pre-generating many which will never be used. This is sort of the approach with periods. Periods are never generated until they are actually needed, otherwise, we might end up with many which are never actually used.

Are you sure that all of those cat option combos are indeed real? It would seem to result from many different levels of attribution, but perhaps its real? If so, its really a bit of the same problem which others have faced, with data which is very highly disaggregated, but with many of the disaggregates actually never used.

Not sure a good way around this really, other than confirming that none of the categoryoption combos are somehow orphaned.

Regards,

Jason


Mailing list: https://launchpad.net/~dhis2-users

Post to : dhis2-users@lists.launchpad.net

Unsubscribe : https://launchpad.net/~dhis2-users

More help : https://help.launchpad.net/ListHelp

On Wed, Oct 12, 2016 at 4:03 PM, Abdul karim Jaafar abdulkarim.jaafar87@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.com@lists.launchpad.net] On Behalf Of Uwe Wahser

Sent: Wednesday, October 12, 2016 4:06 PM

To: Knut Staring knutst@gmail.com; Jason Pickering jason.p.pickering@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.pickering@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 knutst@gmail.com wrote:

Maybe also test an upgrade?

On 12 Oct 2016 14:22, “Uwe Wahser” uwe@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 :slight_smile:

Regards, Uwe

Abdul karim Jaafar abdulkarim.jaafar87@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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