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Connector for Azure

Azure connector allows:

q  For retrieval of the file from an Azure blob storage

q  JSON/XML/Text/Excel files to be read from the Azure blob storage



1.      On the Authorization tab, enter the following information:




Azure container where the file resides.

Account Name

Azure storage account name.

Account Key

Azure storage account key.

To test the connection, click .

If displays, ensure the Container, Account Name, and Account Key values are correct. You can also hover on this message to view the connection error.


2.      Click the Browse tab. The available Azure blob files in the container you specified are displayed.

3.      Select the Azure blob file. The file name is displayed in the File Path field and the Data Type is updated with its related fields.

4.      Select the Only Show Know File Types checkbox to narrow down the list based on the selected data type.

5.      Select either the period (.) or comma (,) as the Decimal Separator.


Prepend 'default:' for the elements falling under default namespace.


6.      Click  to the fetch the schema based on the connection details. Consequently, the list of columns with the data type found from inspecting the first ‘n’ rows of the input data source is populated and the Save button is enabled.

7.      You can also opt to load or save a copy of the column definition.


This option is not available for the Excel data type.


8.      Click  to add columns to the Azure connection that represent sections of the message. Then enter or select:




The column name of the source schema.

JsonPath/Column Index/XPath

The JsonPath/Column Index/XPath of the source schema.


The data type of the column. Can be a Text, Numeric, or Time

Date Format

The format when the data type is Time.


Determines whether the message field should be processed.



To parse and format times with higher than millisecond precision, the format string needs to end with a period followed by sequence of upper case S. There can be no additional characters following them.

For example: yyyy-MM-dd HH:mm:ss.SSSSSS


To delete a column, check its  or all the column entries, check the topmost , then click .