Congrats team. Great job as usual. BlackBerry: 3114F90C
Phone: 08028851441, 08035560463
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Yahoo IM: deemoyes
Facebook: pharael
twitter:pharaell 


     On Monday, May 11, 2015 8:26 AM, Joao Mazuze <joao_maz...@chasssmt.com> 
wrote:
   

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Good news, congratulations. Joao    From: Dhis2-users 
[mailto:dhis2-users-bounces+joao_mazuze=chasssmt....@lists.launchpad.net]On 
Behalf Of Lars Helge Øverland
Sent: 09 May 2015 17:07
To: DHIS 2 Developers list; DHIS 2 Users list
Subject: [Dhis2-users] dhis version 2.19 is released    Hi all,    DHIS version 
2.19 is out. We have some great new features for you.    DATA ANALYSIS FEATURES 
----       Data ranges in event analysis: In event reports and visualizer you 
can define and display numeric values in ranges. This is useful e.g. for age, 
weight and scores where aggregate values can be presented in ranges such as 
“1-5”, “5-10” as opposed to by discrete numbers. The ranges are based on legend 
sets (must be created in GIS for now). You can enable ranges from a drop-down 
next to each data item in the left panel.    Report demo |Chart demo | Report 
docs | Chart docs    Plain tables in event reports: In event reports you can 
display the items from multiple data elements and attributes as a single 
dimension. Normally each data element is displayed a separate dimension. You 
can enable this from “Layout” > “Collapse data dimensions”. This allows you 
e.g. to create large reports with items from many data elements coming down on 
the rows.    Demo |Table screenshot | Layout screenshot    Value dimension and 
aggregation operator in event analysis: In event reports and visualizer you can 
define which data element to use as the metric to display in the report or 
chart. You can also define which aggregation operator to use for that metric. 
E.g. you can now display the average weight or age in the report. You can 
enable this from “Layout” in the “Value” box.    Report demo |Chart demo | 
Table screenshot | Layout screenshot    Enrollment output type in event 
analysis: In event reports and visualizer you can select the output type, which 
refers to how the system counts the number of matches for the criteria. You can 
select between number of “events”, number of “enrollments” and number of 
“tracked entity instances” (persons). This is useful for tracker programs.    
Screenshot       Hide n/a options in event analysis: In event reports and 
visualizer there is a new option for hiding n/a data items. Often, several data 
elements might not have a value for events which will lead to rows and columns 
with a count of n/a. From “Options” > “Hide n/a data” you can now easily hide 
all those items when desired.    Demo |Screenshot    This relative periods: New 
relative periods have been added for this week, this month, this quarter and 
this six-month in all five analysis apps and analytics Web API.    Screenshot   
 Aggregation type: In data visualizer you can specify the aggregation type for 
the chart items. You can select between sum, count, std dev, variance, max, and 
min. This is useful when more than one aggregation type is needed per data 
element. Std dev and max/min are useful to look for outlier values and data 
quality issues. The demo shows std deviation for immunization doses 
administered.    Demo |Screenshot       Identifier schemes in analytics output: 
You can choose between using UID, code and name as identifiers when you 
download pivot tables or access the analytics Web API. This is useful e.g. when 
you want to export aggregated data and exchange it with a third-party system 
which are synchronized on meta-data codes.    Screenshot 


 CONFIGURATION AND SYSTEM MAINTENANCE FEATURES ----       Variable substitution 
in SQL views: You can insert variables directly in SQL views and pass in values 
to be substituted in the request URL. This adds flexibility in how you create 
SQL statements, and can improve performance since you can place variables in 
the main where query, as opposed to filtering the entire result set as it is 
done with the existing criteria function.    Demo |Docs | Screenshot    
Materialized SQL views: You can create materialized SQL views. In the “add new 
SQL view” screen you can select “Materialized SQL view”. Materialized views 
store a copy of the actual result set of the view query. This performs better 
than regular SQL views which needs to be retrieved from the underlying table 
each time. The down    Demo |Screenshot    Option set and long text attribute 
types: Dynamic meta-data attributes can now be of type option set, which 
display as a drop-down selection field; and long text, which has no length 
limit and displays as a text area.    Demo |Screenshot    Resend user 
invitations: In the user app > list of users, you can re-send invitations to 
create user accounts by clicking on an unrealized account invitation. This is 
useful as people sometimes fail to notice the invitation email or it ends up in 
spam filters. Requires full system authority.    Screenshot    Identifier and 
code matching in GML import: The GML importer lets you match incoming features 
using UIDs and codes. Previously only matching name was supported. This is 
useful for scenarios where established identifier / code lists are in use.    
Docs    Footers in email messages: A footer with a reply link has been added to 
email messages. This is useful in order to easily reply to messages which are 
read in an email client. This requires that you set “Server base URL” under 
general settings and configure an SMTP server under email settings.    Demo    
Offline org unit level cache per org unit level: The number of organisation 
unit levels to cache offline for data entry purposes can now be controlled per 
organisation unit level. This is useful for global system implementations, e.g. 
where you have global users which do not need to do offline data entry and do 
not want to wait for a very large number of org units to be cached.    
Screenshot    Analysis about page: All analysis apps now have an about page 
which shows time since last analytics table update, current DHIS 2 version, 
revision and username. This also applies to the about page under profile. This 
is useful when debugging and supporting end-users. Click on About in the top 
right corner on the demo.    Demo    Separate logs for background processes: 
Output from processes such as analytics table generation, data exchange and 
data synchronization are now written to separate logs. Main log is also written 
to a dedicated log file. These logs are found under DHIS2_HOME/logs and are 
capped at 50MB. Main logs are still written to standard out.    Docs 

 TRACKER AND EVENT FEATURES ----       Location in map: In event capture you 
can set the location in terms of longitude and latitude for where an event took 
place directly from Google Maps. This requires that coordinate capture is 
enabled for the program. In the add new event form, click the blue icon next to 
longitude to open the map, then click on the map to set the location. Try it 
out on the demo on the “Information campaign” program.    Demo |Screenshot    
Search in org unit tree: In tracker capture search you can now search across 
all organisation units that you have access to by opening an org unit tree 
inside the advanced search area. This is useful as you can now search across 
organisation units independently of which organisation unit you have selected 
for registration of persons in the left-side tree selector.    Demo |Screenshot 
   Enrollment status filter in search: In tracker capture search you can now 
filter on persons based on their enrollment status. The options are active, 
completed and cancelled enrollments. Use the 4 icons at the top to filter.    
Demo |Screenshot    Custom form for person registration: You can define custom 
forms to use for registration of people and things. This is useful when you 
have detailed requirements of need for scripting for registration. You can 
create custom registration forms from Programs / attributes > Tracked entity 
form. Check it out on the demo by registering a child for the “Child 
Programme”.    Demo |Screenshot    Nicer program summary: The tracker program 
summary report is now easier to read and looks better. Each program stage 
appear in tabs, and each person or thing is displayed with event date and 
organisation unit.    Demo |Screenshot    Next and previous in dashboard: In 
tracker capture dashboard you can quickly navigate between persons and things 
by clicking on the next and previous button in the top left corner.    Demo | 
Screenshot    Tracker dashboard layout: The tracker dashboard now remembers the 
position of each widget between each time you access it.    Demo    Periodic 
events: You can capture events at fixed, periodic intervals. The period type of 
the interval can be set in the program stage management. When creating a new 
event for that stage the user is asked to enter a period, e.g. a month, instead 
of the usual date.    Screenshot       WEB API FEATURES ----       
Translations: Translations are now included in the standard meta-data payload, 
meaning you can easily export and import meta-data translations. Also, a locale 
query parameter can now be supplied to all meta-data resources to get the 
meta-data translated according to the desired locale.    Docs       Enum 
options: All valid options for enum-type properties are exposed through the API 
payload. This makes it easier to use such properties in apps. See e.g. report 
table > aggregation type property.    Demo       Meta-data validation: 
Meta-data is now being validated according to constraints such as min and 
max-length and not null. You can investigate current constraints and validate 
your payload against the schemas resource to check validness.    Docs       
Merge strategies: When importing meta-data now you can now define whether the 
API should merge existing properties or overwrite when updating objects.    
Docs       Approval level parameter in analytics: You can define an explicit 
approval level in analytics request which tells the system to only include data 
up to that approval level in the aggregation.    Docs       Data validation: 
Data values for a data set can be validated according to relevant validation 
rules using the new validation resource.    Docs       Identifier schemes for 
event export: You can now choose between using UIDs or codes as identifiers for 
event export payloads.    Docs       Preheat cache for data import: The 
dataValueSet data import resource now supports a preheat cache option for 
controlling whether to load all necessary meta-data into memory before import.  
  Docs       Scheduling: All background tasks such as analytics table 
generation and data monitoring can be scheduled through the new scheduling 
resource.    Docs       Field filtering: Support for filtering of fields has 
been added to the schemas, properties and dimensions resources. 
Docs


 RELEASE INFO ----       You candownload Live package, WAR file, sample data 
and source code here:    https://www.dhis2.org/downloads    You will 
finddocumentation and Javadocs here:    https://www.dhis2.org/documentation    
You can read theupgrade notes and find upgrade script here:    
https://www.dhis2.org/219-upgrade    Thedemo application can be found here:    
https://apps.dhis2.org/demo    Full list of features can be found at 
theLaunchpad page:    https://launchpad.net/dhis2/+milestone/2.19    
Instructions for signing up for the DHIS 2mailing lists here:    
https://www.dhis2.org/contact 

 Enjoy the new features. 

 best regards,    theDHIS 2 development team 

 

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