Thanks. I missed that email, sorry for the spam. Regards, Paulo Grácio
On 25 March 2013 15:32, David Muturi <[email protected]> wrote: > Hi Paulo, > Here it is... > this update is intended for server administrators looking to upgrade > to DHIS 2.11. > > In version 2.11, DHIS is performing on-the-fly data aggregation as > part of the new analytics API. This is in contrast to the datamart API > where data is been pre-aggregated for a set of dimensions. The > analytics tables contain indexed columns for each data dimension > together with a column for the "raw" data values. The tables are > partitioned for each year of data. Partition means a part of a table > which has been split horizontally on rows - you will find tables like > analytics_2011, analytics_2012, analytics_2013 in the database. This > has some consequences for server configuration: > > > 1) It is strongly recommended to set up a cache server to reduce the > pressure on your web servers. First, caching must be enabled in DHIS > from "System general settings" by setting "Cache strategy" to "Cache > until 6 am tomorrow". The simplest way to set up a server-side cache > if you already have a reverse proxy like nginx and apache running is > to configure it directly in the proxy. Enabling caching for nginx is > documented here: > > http://dhis2.org/doc/snapshot/en/implementer/html/ch08s02.html#d5e580 > > Apache caching can be done through the mod_cache module: > http://httpd.apache.org/docs/2.2/mod/mod_cache.html > > Otherwise, dedicated caches like varnish > (https://www.varnish-cache.org/) and squid > (http://www.squid-cache.org/) could be set up in front of your web > servers. > > > > 2) Run latest version of PostgreSQL which is 9.2. It has some nice > performance improvements over earlier versions. > > > > 3) Make sure a lot of memory is available to the database / > PostgreSQL. If the analytics tables for the last 2-3 years can fit in > the memory cache then on-the-fly aggregation will perform much better. > You can see the size of the analytics tables and indexes using this > SQL on PostgreSQL: > > select pg_size_pretty( pg_total_relation_size( 'analytics_2013' ) ); > > The more memory you have the better. Documentation has been updated, > have a look at the values for shared_buffers and effective_cache_size > settings and update your configurations adjusted for your available > memory: > > http://dhis2.org/doc/snapshot/en/implementer/html/ch08.html#d5e413 > > > > 4) Make sure you have enough disk space as t > he size of the database will increase with the analytics tables. Also, > when doing database backups it's not required to include the analytics > nor the datamart tables. An efficient command for creating backups > which omits these tables and compresses the output in one go (replace > db-name and db-user) is: > > pg_dump db-name -U db-user -T aggregated* -T analytics* -T > completeness* | gzip > dhis-pgdump.gz > > > 5) Optional. Use a fast hard disk type/drive. It will help performance > both on analytics table generation and read queries if you have a fast > disk type, ideally SSD. > > > rgds > David > > 2013/3/25 Paulo Grácio <[email protected]>: >> Congratulations for the achivement! >> >> Is there any information about how to upgrade from version 2.10 to 2.11? >> >> Kind regards, >> Paulo Grácio >> >> On 22 March 2013 19:05, Lars Helge Øverland <[email protected]> wrote: >>> >>> Hi all, >>> >>> DHIS version 2.11 is out and we have some great features for you: >>> >>> >>> - Web-based pivot table: Allows you to create pivot tables with data >>> aggregated along all data dimensions, including data element/organisation >>> unit group sets. Data dimensions can be arranged freely on columns, rows and >>> as filters. You can include totals and subtotals on all axis and control the >>> table density and font size under options. Your pivots can be saved as >>> favorites and downloaded to your local computer. This design goal is to >>> allow users to create their own reports with the data they need without any >>> involvement of super-users. >>> >>> A pivot table with immunization indicators for last 4 quarters by facility >>> ownership, type and location can be made like this (log in with >>> admin/district): >>> >>> http://apps.dhis2.org/demo/dhis-web-pivot/app/index.html?id=XWXTmFUffng >>> >>> A pivot table with number of diagnosis by facility ownership and type with >>> totals and subtotals looks like this (notice that diagnosis are data element >>> groups): >>> >>> http://apps.dhis2.org/demo/dhis-web-pivot/app/index.html?id=vlnZeGhgw1T >>> >>> A pivot table for vaccines, broken down on categories, age group and point >>> of service, last 12 months: >>> >>> http://apps.dhis2.org/demo/dhis-web-pivot/app/index.html?id=z31v4RMNqnu >>> >>> A pivot table with reporting rates, major forms for public facilities by >>> location and type, last 12 months: >>> >>> http://apps.dhis2.org/demo/dhis-web-pivot/app/index.html?id=VHewKMjyLnR >>> >>> We encourage you to play around - select dimension items for the left menu >>> and arrange dimensions from "Layout" in the top menu. Documentation can be >>> found here: >>> >>> http://dhis2.org/doc/snapshot/en/user/html/ch15.html >>> >>> >>> >>> - Data analytics Web-API resource: A flexible API for retrieving aggregated, >>> analytical data for all data dimensions using a simple query syntax. The >>> pivot table module is built on top of this API. It allows developers of >>> third-party apps and web portals to connect to DHIS 2 and query for any type >>> of aggregated data, where any number of dimensions and filters can be >>> specified. Data can be retrieved in json, jsonp, xml, csv, html and xls >>> (Excel) format and responses can be constrained with criteria like greater >>> than, equals and so on. >>> >>> A query for retrieving data for certain data elements, periods and >>> organisation units might look like this: >>> >>> http://apps.dhis2.org/demo/api/analytics?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU&dimension=pe:2012Q1;2012Q2&dimension=ou:O6uvpzGd5pu;lc3eMKXaEfw >>> >>> Documentation can be found here: >>> >>> http://dhis2.org/doc/snapshot/en/user/html/ch25s18.html >>> >>> >>> >>> - Sharing: Several objects including chart, pivot table, map, indicator and >>> data set can now be shared and have fine-grained access control. An object >>> can be made private to yourself, shared with any number of user groups or be >>> made available for all. You can grant edit or view-only rights to other >>> people. You can create user groups directly from the dashboard. Who should >>> be allowed to create public objects can be controlled through user roles. >>> >>> This functionality is useful for example in a scenario where entities like >>> health programs and implementing partners need to create indicators and >>> reports which should be available only for members of their organisation. In >>> this case, an organisation can create a user group for their staff, then >>> develop charts and maps which could be made available for that organisation >>> only. General reports made by the ministry could still be shared with all >>> and made publicly available. >>> >>> Another use-case is that of an international NGO with operations in multiple >>> countries. Here, user groups could be set up for each country and >>> indicators, resources, charts and reports which are country-specific could >>> be made available for staff working in that country only, without appearing >>> in lists for staff working in other countries. Indicators and reports which >>> are applicable for all counties could be made accessible for all. The >>> sharing solution also opens up for great possibilities when combined with >>> the self-registration of user account feature. >>> >>> Documentation here: >>> >>> http://dhis2.org/doc/snapshot/en/user/html/ch07.html >>> >>> >>> >>> - DXF 2 meta-data exchange: You can now import and export a complete set of >>> objects in the aggregate part of the system, including data sets, custom >>> data entry forms, maps, charts and option sets. Import/export of meta-data >>> objects now uses the new DXF 2 format. Import/export can also be done >>> through the meta-data Web API resource. This greatly improves the ability >>> for meta-data exchange between DHIS 2 instances and third-party systems. >>> >>> Documentation here: >>> >>> http://dhis2.org/doc/snapshot/en/user/html/ch19.html >>> >>> >>> - HTML-based standard reports: You can now develop standard reports in pure >>> HTML and Javascript. This requires a little bit of development skills but >>> allows for creating pixel-perfect reports tailored to most needs. It is >>> especially flexible when used in combination with the analytics Web API, >>> where aggregated data can be pulled out of the system and positioned in the >>> report according to your needs. >>> >>> An example of such a report can be viewed here: >>> >>> http://apps.dhis2.org/demo/dhis-web-reporting/generateHtmlReport.action?uid=fqERdm6UtkI&ou=ImspTQPwCqd >>> >>> Documentation here: >>> >>> http://dhis2.org/doc/snapshot/en/user/html/ch14s04.html#d5e2332 >>> >>> >>> - Multi-organisation unit data entry: You can now do data entry for multiple >>> organisation unit in the same form. This is useful for instance in scenarios >>> where you have section forms with few data elements and an organisational >>> hierarchy with hospitals with multiple wards below, as it allows you to do >>> fast data entry for all wards at the same time. To enable it, go the system >>> general settings and enable "multi-organisation unit forms", then go to data >>> entry and select the organisation unit above the ones you want to enter data >>> for. >>> >>> Documentation here: >>> >>> http://dhis2.org/doc/snapshot/en/user/html/ch09s02.html#d5e1122 >>> >>> >>> - Tracker ad-hoc aggregate reports: You can now do on-the-fly aggregation of >>> tracker data in tabular reports. Define aggregation queries with filters or >>> group statements and view the results instantly. Create reports like top 10 >>> diagnoses from inpatient admissions, save as favorite and run the report >>> again whenever you like. You can check it out here: >>> >>> http://apps.dhis2.org/demo/dhis-web-caseentry/app/index.html >>> >>> >>> - Tracker program statistics reports: Tracker now comes with better out of >>> the box statistics to program managers. Monitor new enrollments, programs >>> completed, and drop-outs. Also analyse in detail from each stage how many >>> visits are done, completed and overdue. Try it out on the demo here: >>> >>> http://apps.dhis2.org/demo/dhis-web-caseentry/statisticalProgramReportSelect.action >>> >>> >>> - Tracker general improvements: The tracker module is rapidly being improved >>> and the user experience is improved in person dashboard, case-based tabular >>> reports, person aggregation and program maintenance. >>> >>> The tracker user guide can be found here: >>> >>> http://dhis2.org/doc/snapshot/en/user/html/ch24s02.html#d5e5474 >>> >>> >>> - Facility registry Web API resource: DHIS 2 now implements the API >>> specification made by the FRED project. This means that DHIS 2 can be >>> considered a feasible facility registry. More info here: >>> >>> http://facilityregistry.org >>> >>> >>> - Model changes: Indicator formulas, validation rule formulas and custom >>> data entry forms are now using UIDs (stable identifiers) which makes it >>> possible to transfer these easily between systems. Category options can now >>> be re-used within many categories which improves analysis and naming >>> conventions. >>> >>> >>> - Miscellaneous: Report table supports weekly periods. Data visualizer has >>> an improved favorite user interface, making it consistent with pivot table >>> and GIS. Touch-friendly navigation for help and profile items (click on help >>> or profile in top menu). >>> >>> http://apps.dhis2.org/demo/dhis-web-commons-about/functions.action >>> >>> >>> - The scheduling functionality has been improved. As a consequence you must >>> re-set your scheduled jobs after upgrading in data administration -> >>> scheduling. >>> >>> >>> WAR file, Live package, sample data and source code can be downloaded from >>> here: >>> >>> http://dhis2.org/downloads >>> >>> >>> Documentation and Javadocs can be found here: >>> >>> http://dhis2.org/documentation >>> >>> >>> Launchpad source code page: >>> >>> https://launchpad.net/dhis2/+milestone/2.11 >>> >>> >>> Launchpad blueprint page: >>> >>> https://launchpad.net/dhis2/+milestone/2.11 >>> >>> >>> >>> best regards, >>> >>> the DHIS 2 development team >>> >>> >>> >>> >>> >>> >>> _______________________________________________ >>> Mailing list: https://launchpad.net/~dhis2-users >>> Post to : [email protected] >>> Unsubscribe : https://launchpad.net/~dhis2-users >>> More help : https://help.launchpad.net/ListHelp >>> >> >> >> >> -- >> Paulo Grácio >> >> _______________________________________________ >> Mailing list: https://launchpad.net/~dhis2-users >> Post to : [email protected] >> Unsubscribe : https://launchpad.net/~dhis2-users >> More help : https://help.launchpad.net/ListHelp _______________________________________________ Mailing list: https://launchpad.net/~dhis2-devs Post to : [email protected] Unsubscribe : https://launchpad.net/~dhis2-devs More help : https://help.launchpad.net/ListHelp
