Feature Representation
In addition to the generic FME feature attributes that FME Workbench adds to all features, this format adds the format-specific attributes described in this section.
The Azure Table feature attributes consists of the columns that were in the Microsoft Windows Azure Table. All features contain an azure_table_type attribute, which is always set to azure_table_none as there is no geometry to Windows Azure Table features.
The following table summarizes the attribute types supported:
Parameter |
Contents |
text |
Text attributes store variable length strings. This type is also used to store date values. |
integer |
Integer attributes store integer numbers in contrast to floating point numbers. |
boolean |
Boolean attributes store true or false values. |
number |
Number attributes store floating point numbers. |
In addition to the generic FME feature attributes that FME Workbench adds to all features (see About Feature Attributes), the Azure Table module makes use of the following special attribute names:
Attribute Name |
Contents |
azure_table_type |
The type of geometric entity stored within the feature. The valid values for the object model are listed below: azure_table_none |
azure_table_last_update |
The UTC date and time value formatted as a string representing the time this table was last updated. For example: 2010-10-12 18:23:47.574000 |
azure_table_partitionkey |
The unique value for partition that this row will be a part of. Partitioning helps with load balancing on the server when retrieving data. If no value is provided a single GUID will be used for all ll feature written I a given translation for each table. Any text value is permissible. |
azure_table_rowkey |
This attribute allow the user to specify or retrieve a unique identifier per row. If set this should be unique per input feature. If no value is provided a unique GUID will be generated for each row inserted into a given table. |