I'm attaching the browser window.Please guide me to view the log 
window.sunilgavaskarFrom: Knut Staring <knu...@gmail.com>Sent: Fri, 14 
Oct 2016 09:09:23To: Sunil Gavaskar <sunilgavas...@rediffmail.com>Cc: 
DHIS 2 developers <dhis2-devs@lists.launchpad.net>, Lars Helge verland 
<l...@dhis2.org>, DHIS 2 Users list 
<dhis2-us...@lists.launchpad.net>Subject: Re: [Dhis2-users] dhis version 
2.25 is released Do you see any errors in the log window?
 On 14 Oct 2016 04:07, "Dr. Sunil Gavaskar ParthaSarathy" 
<sunilgavas...@rediffmail.com> wrote:
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 <knu...@gmail.com> 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 <knu...@gmail.com> 
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?
 On Thu, Oct 13, 2016 at 10:58 PM, Sunil Gavaskar 
<sunilgavas...@rediffmail.com> 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 helpsunilgavaskarFrom: Lars Helge 
verland <l...@dhis2.org>Sent: Thu, 13 Oct 2016 16:21:50To: DHIS 2 Users 
list <dhis2-us...@lists.launchpad.net>, DHIS 2 Developers list 
<dhis2-devs@lists.launchpad.net>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.
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 facility to 
district and from months to quarters, and combine data elements using aggregate 
indicators or program indicators, before importing as raw data values in the 
destination system. You can try it out using the Pivot table app from Download 
> Advanced > Data value set XML.
Docs | Screenshot | Demo 
Flexible disaggregation: Data elements can now be disaggregated differently for 
each data set they are part of. Put differently, a data element can be linked 
to multiple category combinations. When assigning a data element to a data set, 
you can define which category combination to use. This is useful in order to 
reuse data elements, for instance when different provinces in a country employ 
different data disaggregation, or when the disaggregation change from year to 
Docs | Screenshot setup | Form 1 | Form 2 | Demo
Soft data value delete: Data values are now “softly” deleted, 
meaning they are marked as deleted in the database rather than permanently 
removed. A new field deleted has been introduced for data values which is set 
to true for deleted values. Softly deleted data can optionally be included when 
requesting data through the API by setting the includeDeleted param to true. 
This allows clients, such as Android apps and third-party systems, to react 
when data has been deleted in DHIS 2.
Data value audit: The data value import process now generates data value audit 
records. This allows for proper auditing of data being ingested from bulk data 
Predictors: A new data predictor feature allows you to generate data values 
based on an expression and several other parameters. This is useful for 
generating targets, thresholds and predicted data in the future.
Docs | Demo
Profile: The profile section has been rewritten and has received the new and 
modern look.
Docs | Demo
Maintenance: The Maintenance app now includes configuration of tracked entity 
attributes, tracked entity attribute groups, relationship types and tracked 
Docs | Demo 
Reminders and notifications: A new notification solution allows for setting up 
reminders for upcoming events and notifications for missed events in tracker 
programs. Reminders can be sent before and after scheduled events, directly to 
people and DHIS2 users. Also, notifications can be sent on program enrollments 
and enrollment completion. Messages can be delivered by SMS, email and as DHIS2 
Docs | Screenshot 1 | Sc 2 | Sc 3
Organisation unit value type: A new value type organisation unit has been 
introduced, allowing you to select organisation units for attributes and data 
elements in Event Capture and Tracker Capture apps. This means that you can 
associate multiple organisation units to an event which is useful e.g. to store 
place of infection in addition to place of treatment. Try it out with the 
Inpatient morbidity mortality program.
Docs | Screenshot | Demo
Capture location of enrollment: You can now capture the coordinate / location 
of an enrollment. This allows you to know where an enrollment took place. The 
location map widget is based on OpenStreetMap. This can be enabled through the 
capture coordinates property in program maintenance.
Mapzen-based location search: In the location map widget you can now search for 
most addresses in the world and store the coordinate of the location. Click the 
magnifier icon in the top left corner of the map widget and start typing your 
address. Try it out by clicking register, then click on the get from map icon 
next to coordinate.
Screenshot | Demo
Deletion of tracked entity instances: Tracked entity instances can now be 
permanently deleted. This means all related records, including enrollments, 
events and audit records will be removed.
Messaging widget: The tracker person dashboard now has a messaging widget which 
allows for sending messages directly to the person using email or SMS. The 
contact info is automatically fetched from the person profile, and can also be 
specified directly in the widget.
Docs | Screenshot | Demo
Locking for completed events: Completed events can now be automatically locked 
for further modification after a given number of days. This can be configured 
per program through the completed events expiry days field. For example: if 
expiry days is set to 7, then events which have been completed more than 7 days 
ago can no longer be edited.
Event locking per program: In the Event Capture and Tracker Capture apps, time 
periods can be locked in order to prevent new events to be added. This is 
configurable through the expiry days and expiry period type properties, which 
controls the number of days after a period of a specific period type for which 
events can still be added. For example: if expiry days is 7 and expiry period 
type is monthly; new events can be added for a month up to 7 days after the end 
date of that month.
Configurable columns: In the Tracker Capture app, the columns to display in the 
list of tracked entity instances can be selected and remembered per user. In 
the Event Capture app, the columns to display in the list of events can be 
Docs | Screenshot 1 | Sc 2
Web server clustering: This release allows for deploying DHIS2 in a web server 
cluster. When configured appropriately, each node in the cluster will ensure 
that the application caches of the other nodes are kept in sync. Up to 5 nodes 
can be configured, allowing for web server horizontal scalability. For each 
node, the hostname of the other nodes must be configured.
Database read replication: DHIS2 now allows for configuring up to 5 read 
replicas of the master database. When set up, the application will 
automatically offload read-only database queries to the read replicas, allowing 
for horizontal scalability of the database read operation capacity. Each read 
replica must be specified in the dhis.conf configuration file.
API versioning: The Web API is now versioned. The versioning is defined through 
the request URL with a version number. For example /api/25/dataElements will 
return version 25 of the data elements resource. If you omit the version part 
of the URL, the system will use the current API version. The last three 
versions of the API will be supported.
Indicator analytics: The numerator, denominator and factor components of 
indicator values can be included separately in analytics responses by setting 
the includeNumDen parameter to true.
Translation in metadata export: Object translations can now be included in the 
metadata export payload by setting the translate parameter to true.
Async metadata import: Metadata imports can now be performed asynchronously by 
setting the async parameter to true, which is useful for large metadata imports.
Logical operators: You can now specify whether to use the AND or OR logical 
operators for filters while using the metadata export resources.
You can download Live package, WAR file, sample data and source code here:
You will find documentation and Javadocs here:
You can read the upgrade notes and find upgrade script here:
 You can find the source code on Github here:
The demo application can be found here:
Full list of features can be found at the Launchpad page:
https://launchpad.net/dhis2/ milestone/2.25
Instructions for signing up for the DHIS 2 mailing lists here:
Thanks goes to EyeSeeTea for contribution to thisrelease.
best regards,
the DHIS 2 development team
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Knut Staring
Dept. of Informatics, University of Oslo
Norway:  4791880522
Skype: knutstar
Knut Staring
Dept. of Informatics, University of Oslo
Norway:  4791880522
Skype: knutstar
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