Dear DHIS team,
I'm connecting to a empty DB. The tables are getting created in the DB. But the
page is not loading. The browser says error 503 service unavailable.
Thanks & regards
Dr. Sunil Gavaskar ParthaSarathy. M.B., B.S., D.A.,
Medical Officer
Tamil Nadu Health Systems Project
Sent from my iPhone
> On 14-Oct-2016, at 3:44 AM, Knut Staring wrote:
>
> Most likely there is an issue with your dhis.conf file. Please check the
> database name (connection.url), username and password.
>
>> On Fri, Oct 14, 2016 at 12:10 AM, Knut Staring wrote:
>> Hi Sunil,
>>
>> Are you connecting to an empty Postgres database? I just downloaded DHIS2
>> Live and connected it to an empty db without problems.
>>
>> Do you see any errors in the log window?
>>
>> Knut
>>
>>> On Thu, Oct 13, 2016 at 10:58 PM, Sunil Gavaskar
>>> wrote:
>>> Great. Congratulations.
>>>
>>> I need assistance in installing 2.25.
>>> The DHIS2 live works fine with the inbuilt database.
>>>
>>> When connected to postgres getting service unavailable error 503 in the
>>> browser.
>>>
>>> Kindly help
>>>
>>> sunilgavaskar
>>>
>>>
>>> From: Lars Helge verland
>>> Sent: Thu, 13 Oct 2016 16:21:50
>>> To: DHIS 2 Users list , DHIS 2 Developers
>>> list
>>> Subject: [Dhis2-users] dhis version 2.25 is released
>>>
>>> Hi all,
>>>
>>> DHIS version 2.25 is out with a lot of new features, apps and improvements.
>>> Log in with admin/district on the demo system.
>>>
>>> ANALYTICS FEATURES
>>> ---
>>> External map layers: The GIS app now supports TMS (Tile Map Service), XYZ
>>> and WMS (Web Map Service) layers. These are all popular protocols for map
>>> data and there are numerous map services available, allowing you to display
>>> maps for rivers, roads, weather, land data and everything else. External
>>> map layers can be set up from the Maintenance app, and then be accessed
>>> from the top bar in the GIS app.
>>> Docs GIS | Docs setup | Screenshot 1 | Sc 2 | Sc 3 | Sc Setup | Demo 1 |
>>> Demo 2
>>> Push analysis: You can now push data analysis in the form of reports,
>>> charts and maps to your users over email. This allows for improving
>>> awareness and visibility of your data, and can encourage people to more
>>> actively look at analysis. Push analysis is based on dashboards, and can be
>>> set up, run and scheduled from the Maintenance app. You can also run
>>> immediately and preview from the the context menu.
>>> Docs | Screenshot 1 | Sc 2 | Demo
>>> Indicator as filter: A single indicator or data set reporting rate can now
>>> be used as filter in charts and pivots. This allow you to create charts for
>>> example with multiple periods and organisation units.
>>> Docs | Screenshot | Demo
>>> Dashboard translations: The names of dashboards can now be translated,
>>> meaning you can have dashboard names appear in user’s local language.
>>> Docs | Screenshot
>>> Deep linking of favorites: When opening favorites in the Pivot Table and
>>> Visualizer apps, the browser address bar URL will reflect the current
>>> favorite. This allows for easy sharing of favorites through
>>> copy-and-pasting the URL.
>>> Screenshot | Demo
>>> Chart rendering: The chart rendering engine has been rewritten from scratch
>>> and now looks better, renders faster and will allow for new chart types in
>>> the coming releases. The Data Visualizer app’s favorite solution has also
>>> been upgraded.
>>> Screenshot | Demo
>>> Favorite description: You can now specify description for pivot table and
>>> chart favorites. This allows you to add more information such as the
>>> purpose and method to interpret the analysis favorite. You can also store
>>> titles for pivot tables. Click rename to change it.
>>> Screenshot | Demo
>>> Interpretations in analytics apps: The Pivot Table and Visualizer apps now
>>> have a right-side panel where you can see details and interpretations for
>>> the current favorite. Click the right-side arrow to open the panel.
>>> Docs | Screenshot | Demo
>>> Data analytics export as raw data: The analytics API now lets you produce
>>> aggregated data exports in the raw data value set format. This is useful
>>> for data exchange, e.g. you can aggregate data in a source system from
>
