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ADF DVT Speed Date: Present Metrics per Year, Quarter and Month using a zoom-enabled ADF DVT Resource Utilization Gantt and ADF BC

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3 months ago
by Lucas Jellema in , ,

The challenge I will address in this article is the following: I would like to provide a nice presentation of data aggregated by time period. For example: an overview of the number of employees that was hired in each year in each department (example is drawn from table EMP). The presentation could look like this:

To extend the challenge a little bit: I would like to be able to drill down. From the year level shown in this picture, to the Quarter level and even to the Month level. The Quarter level would look similar – but more fine grained:

This article shows how this challenge can be addressed using ADF DVT – Data Visualization components, more specially the Resource Utilization Gantt Chart. It will describe how ADF BC is used in conjunction with the SQL TRUNC function and a smart bind parameter to allow for dynamic zooming to different time aggregation levels. And the approach demonstrated in this article can easily be reused for other time based presentations.

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Using TRUNC in SQL to get the first date in a period

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3 months ago
by Lucas Jellema in , ,

While working on a Web application that required some page to report data aggregated on several levels of time period – by month, quarter or year – I ran into a very handy way to use the TRUNC function. I was not aware of this usage until now – and since I make it a point to encourage my colleagues to write a blog article on anything new they uncover – no matter how trivial it may seem or how strong the feeling that surely everyone already knows about that – I must play by my own rules and tell you about it.

The challenge I was facing can easily be translated into this question: write a SQL query that reports on the number of employees hired per month (or quarter or year). In fact, use a bind parameter that drives the aggregation level – i.e. the Month, Quarter or Year.

Taking the well known EMP table as the target system, this challenge means that all employees hired in the same Month (or Quarter or Year) should be aggregated in the same group. That in turn means that the aggregation should take place by the MONTH (or QUARTER or YEAR) component of their HIREDATE. Instead of fiddling with TO_CHAR using different date identifiers (which also have been an option) it turns out to be More >

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