Become a data management guru with dbForge Studio for Oracle, now featuring Oracle Pivot
Table. Pivot Table is a tool that converts large amounts of data into compact
and informative summaries - pivot tables. With a few clicks of your
mouse your data can be rearranged the best way to understand data relations and
Note: table designer does not generate pivot SQL queries that can be used outside of the
Pivot tables are created from Query Builder. Open a query document to select
it as a data source for a pivot table. In the Database Explorer, select required
tables from your database and drag-and-drop them to the query document. They are
displayed as shapes with columns. In required table shapes select corresponding
Switch to the Pivot Table view to see the pivot table template. The Data Source
view opens automatically with the fields specified in our query document. To add
fields to the pivot table, simply drag-and-drop them from the Data Source view to
a required pivot table area.
Reordering fields is the key point in finding the best table layout to understand
data dependencies and use them to your benefit.
Simply drag-and-drop a field from one area of a pivot table to another to
rearrange their data. You can see the Oracle pivot table example on the screenshots.
You can easily swap row and column fields to display row field values in
columns and column field values in rows. Compare the two screenshots.
Sorting data in a pivot table allows displaying it in ascending or descending order.
To sort values of any field, click the Sort button on the field header.
You can group data in an Oracle pivot table using various predefined group modes.
Grouping values of some field is done with a single click of your mouse.
It will appear as a new sub-field and you will be able to add it to a required area
in your pivot table.
Values of date and time type can be grouped by years, months, quarters, weeks, days,
etc. Numeric data can be grouped into numeric ranges. Text data can be grouped by
To remove grouping, select a required sub-field and press Delete.
Besides predefined group modes you can create your own group criteria using
the Collection Editor dialog box.
Various types of filtering can be applied to display only required data in a pivot
To filter values of any field, click the Filter button on the field header
and in the opened dialog box select only required values that you want to display.
The data will be filtered according to the selected criteria.
You can add a filter field to filter the whole data in the pivot table. Drag-and-drop
a required field from the Data Source view to the Filter area in the pivot table.
In the picture below the film rating filter was added. This way films in the list
can be filtered by their rating.
Pivot Table offers you a number of summary functions that can be applied to calculate
custom totals for column or row values. Custom totals are displayed in additional
rows or columns highlighted in grey.
If you are an Oracle ACE, send us a link to your Oracle ACE profile and get
a free licence for dbForge Studio for Oracle!
"Great diagram tool.
As this product matures it has the potential to be one of the best best tools for
database development out there. You have my vote. Please keep it going"
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