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Re: Cross database querying for updating data

 

Indeed Database A has extra data not available in B while  B has data
missing in A.  No changes have been made to orgunits, dataelements, periods
or users. The delta is in data-values. I would really want to get views on
whether the operation described (all other parameters being equal) will
bring the missing data into A, and whether it may affect report summary
rates.
I cannot easily download the big databases. Something on command-line would
be very suitable for this circumstance  and transparent to users.

On Mon, Apr 20, 2015 at 5:08 PM, Bob Jolliffe <bobjolliffe@xxxxxxxxx> wrote:

> If database B is restored off a backup of database A then it will
> probably work with some caveats.  Clearly they are not exactly the
> same because you've got extra data in A which you are trying to push
> into B.  So it depends really on what else might have changed in A.
>
> If you have made any changes to orgunits, datelements or periods then
> that will cause at best a database integrity violation when you try to
> import that way.  At worst cause a very horrible mess.
>
> Even though the process is fragile, there is a related use case where
> one might need to do such a thing or something similar.  If a country
> system is hosted somewhere in the cloud (because they have poor or
> expensive local bandwidth) then there is a real problem to solve about
> getting data backups from the server back into the country.
>
> In particular we'd like to be able to pull not all the datavalues but
> only those which have been changed ie. do an incremental backup of the
> datavalues table.  The same could apply to events.
>
> One possible approach might be to first do a metadata backup and
> restore.  And then pull the changed datavalues - though you would have
> to do this through the api with uids or codes as the metadata backup
> and restore would have ignored the database identifiers.
>
> Yet another approach would be to take a reduced postgres backup
> excluding the datavalues table, restore that and then try and pull in
> the delta of datavalues table something like you describe.
>
> Its a tough problem.  Jason, what do you suggest?  Downloading the
> full postgres backup (with ephemeral tables like analytics excluded)
> can be a serious challenge for many countries to do with regularity
> and reliability.  So how best to go about incremental backup and
> restore of data?
>
> On 20 April 2015 at 15:36, Muyepa A. <muyepaa@xxxxxxxxx> wrote:
> > I had thought of  data import/export functionality, however this will
> > require two instances of tomcat to be running. (or one instance with one
> > database at a time, however there will be an associated down time).
> > Since upgrading to 2.18, when exported, the resultant download zip file
> says
> > invalid for all formats (xml, json, excel) and is only 2kb in size
> > regardless of the hierarchy I choose.
> >
> > Since one database is copy of the other, i thought I could easily update
> > from the other as described.
> >
> > On Mon, Apr 20, 2015 at 3:48 PM, Jason Pickering
> > <jason.p.pickering@xxxxxxxxx> wrote:
> >>
> >> It may work, but in general, it will not because the internal IDs of
> >> different DHIS2 databases are not the same. So, it might work, but it
> >> requires both databases to be in essentially the same state. Better to
> use
> >> the data import/export functionality if you can.
> >>
> >> Regards,
> >> Jason
> >>
> >>
> >> On Mon, Apr 20, 2015 at 3:28 PM Muyepa A. <muyepaa@xxxxxxxxx> wrote:
> >>>
> >>> Can I safely update DHIS2 database A with data from DHIS database B
> both
> >>> on the same PostgreSQL server by cross query. B is backup of A
> >>>
> >>> From database B, I can retrieve and save the data that is required
> using:
> >>>
> >>> psql B -c "\copy (select * from datavalue where  periodid='xxxx') TO
> >>> STDOUT" > /tmp/data.tsv;
> >>>
> >>>
> >>> And to restore:
> >>> psql A -c "\copy datavaue (x, y, z, ...) FROM /tmp/data.tsv"
> >>>
> >>>
> >>> Is this recommended, and what else should be cross  transferred.
> >>>
> >>>
> >>>
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> >
> >
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>

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