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.
>>> ---
>>> 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 year.
>>> 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.
>>> Docs
>>> 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 imports.
>>> Docs
>>> 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 entities.
>>> 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 messages.
>>> 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.
>>> Screenshot
>>> 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.
>>> Screenshot
>>> 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.
>>> Docs
>>> 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.
>>> Docs
>>> 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 selected.
>>> 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.
>>> Docs
>>> 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.
>>> Docs
>>> ---
>>> 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.
>>> Docs
>>> 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.
>>> Docs
>>> Translation in metadata export: Object translations can now be included in 
>>> the metadata export payload by setting the translate parameter to true.
>>> Docs
>>> Async metadata import: Metadata imports can now be performed asynchronously 
>>> by setting the async parameter to true, which is useful for large metadata 
>>> imports.
>>> Docs
>>> Logical operators: You can now specify whether to use the AND or OR logical 
>>> operators for filters while using the metadata export resources.
>>> Docs
>>> ----
>>> 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:
>>> 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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