Posts tagged adf
ADF: (Automatic) Partial Page Rendering across Taskflows
0One of the great features of ADF is the easy out-of-the-box support for Partial Page Rendering (PPR) using the partialTriggers, autoSubmit and partialSubmit properties. And when things get a bit more complex there is a very easy API to do it programmatically. But what if
- you don’t know beforehand what attribute or column will change, or
- you don’t want to replicate this “Model logic” in the View layer (e.g. because you want to adhere to the Model-View-Controller pattern), or
- components are scattered across Taskflows (in which case you cannot use the declarative support and the programmatic approach is suddenly very hard)?
Fortunately, ADF has a solution: Automatic Partial Page Rendering (or Auto PPR). If you have used ADF with Business Components, you might have seen or used it already, but it is less obvious that you can also use it with ordinary Beans or Bean DataControls.
ADF client-side architecture – Select All
0A little while ago I got a very nice challenge: play around with the ADF client-side framework.
The customer had a table where users could multi-select via an extra column with checkboxes. Header of that column also contained a checkbox to select or deselect everything at once. For example:
It was implemented using autoSubmit and partialTriggers. Due to the roundtrip to the server the response time was low when having a lot of rows. To speed it up, I was asked to look if (de)selecting all rows could be done on the client.
Never having worked with that part of ADF yet, I started searching and quickly found the Oracle documentation, but actual examples to clarify some topics.. hmmm not so much. The use case is quite specific but I thought it would still be nice to blog about it to be at least an example of some of the client-side functionality for other people in need. (more…)
ADF DVT: Analyzing Financial Position of the European Football (Soccer) Leagues using Treemap
1We all know a lot of money is involved with professional sports. One of Europe’s major sports is football (or soccer as some like to call it). A lot of money changes in hand in football. And it seems that the results are determined primarily by the money. The major pan-European competition – the UEFA Champion’s League- is called out of reach for representatives from smaller countries – because of their lag in terms of yearly budget. And the national leagues are dominated by [clubs that have the] money.
Together with my son Tobias we decided to investigate. How much money is in the budgets for all clubs taken together in each of the major football leagues? And how is that money distributed over the clubs. Is it evenly allocated or are there wild variations? And is money a guarantee for success?
We decided to use the ADF DVT Treemap component to visualize our findings. From left to right, you see four treemaps, representing the football leagues of England, Spain, Germany and The Netherlands. The size of each treemap corresponds with the sum of all club budgets in that league. Inside the treemap, each area represents a club. The size of the area corresponds with the budget of the More >
ADF DVT – Scaling TreeMap components for comparisons across masters and categories
0In a recent article (http://technology.amis.nl/2013/04/02/adf-dvt-using-the-tree-map-visualization-component-to-compare-relative-sizes-and-distributions/) I discussed the ADF DVT Treemap component. This component visualizes data in such a way that comparisons between data values for different records and categories can quickly be made. The size of areas is a measure for some numerical value. As an additional dimension, the color of the areas can be used to identify groups (all members of the group having the same color) or to visualize a second numerical value (color can range for example from dark red to rich green depending on the net revenue per record).
This article describes the situation where we want to use multiple Treemap instances lined up. Each Treemap instance represents a collection of records on one or possibly multiple levels. Each instance can be drilled down into independently. And each instance can represent a different data set, even though we want to compare these data sets. Using a PanelGridLayout, it is easy to position multiple instances in a row or a grid. Using the inline style to scale the width and height of the Treemap instances, we can set the relative More >
ADF DVT: Using the Tree Map visualization component – to compare relative sizes and distributions
0The tree map component is one of those data visualization components that can tell an entire story through a simple picture. But of course that picture is anything but simple. And it is not even just a picture: it supports various forms of interaction such as drill down and popup. I had seen the Tree Map for the first time in demonstrations by Oracle Product Management. It seemed okay, but nothing very spectacular. Now, after having tried out the component for myself as well as studying the documentation, I may have to revise my initial opinion: it is actually a pretty cool and powerful component.
The Tree Map is used to present data values in a way that makes comparison easy, using two dimensions: (relative) size and color. The TreeMap uses containers for nodes with sizes relative to the numerical value associated with the nodes. Each node can have details and the container is presented with enclosed areas for each of the details. The size of these areas is proportional again to the value associated with the child node. All areas can be colored automatically – to create a pretty picture – or can be colored according to rules we can specify in order to have the colors also convey More >
ADF DVT: Using the Timeline component to visualize the recent history of an RSS feed
0One recurring theme in my articles on ADF has been that end users usually do not care about data. They are interested in getting information that helps them answer questions, make decisions and take actions. Data may be the foundation, but information is to be derived from the data. One way therefore to create applications that are more valuable to our end users is by preprocessing data and turning the data into information – or even into answers, proposed decisions and actions. A powerful way of turning data into information is through data visualization. By presenting data in a format that converts it to readily interpretable information, we help our users a lot. Bar charts, line graphs and other traditional charting formats are one of way visualizing data. The DVT library in ADF Faces goes far beyond traditional charts. It provides components such as the Gantt Chart, the Hierarchy Viewer, the Tree Map, Gauge and the TimeLine that help visualize data in natural, informative and attractive ways. This articles discusses the TimeLine component – introduced in ADF 11gR1 PS6 (11.1.1.7) in the Spring of 2013.
The TimeLine visualizes events against a time axis. It is as simple as that. More >
Recent Comments