Fusion-Excel-Table
Overview
The Fusion-Excel-Table format is not an official SDMX format. It outputs the dataset as a table, where the Dimension placement (rows/columns) can be defined dynamically.
The Dimension can either take one of the following placements:
- Header - The dimension values iterate over the column in the table, i.e column 1 is USD column 2 is GBP. Multiple Dimensions can be assigen to the row
- Row - The dimension values iterate over the rows in the table, i.e row 1 is USD row 2 is GBP. Multiple Dimensions can be assigen to the row
- Slice - one dimension can become a slice, a worksheet will be output per slice value, e.g slice by FREQ would output Annual Data in one worksheet, Monthly data in another, and so on.
- Fixed - determined by the system on output, if the Dimension has a fixed value it is either promoted to the fixed header section or removed from the output (defeined by the user)
Fusion-Excel-Table can be a read/write format, meaning the dataset can be modified and read back in by the Fusion Registry. However by default the format is read only unless it is explicitly asked to be read/write, this is because the additional information written to the workbook to make it read/write can slow down the performance when opening the workbook in Excel.
Fusion-Excel-Table became available from Fusion Registry v10.4.5 onwards
Formatting Using Query Parameters
The following URL parameters can be used in a RESTful query for to get data in Excel format.
Query Parameter | Values | Description |
---|---|---|
format | fusion-excel-table | Required to output the dataset in fusion-excel-series format |
detail | full or dataonly default full |
Use dataonly to exclude series attributes from the output |
slice | [dimension id] default to N/A |
If provided, an Excel worksheet will be created for each distinct value in the dataset for this Dimension |
labels | id or name or both (id is default) |
Output Ids or the corresponding name, or id and name |
fixed | keep or promote or remove (promote is default) |
Describes how to handle Dimension or Series Attribute values which are the same for the whole dataset.
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Note: The same formatting can be applied using HTTP Accept Headers as opposed to using REST query parameters.