Creating Azure Input Data Source

Azure connector allows for retrieval of the file from an Azure blob storage. This connector allows JSON/XML/Text/Excel files to be read from the Azure blob storage.

 

  1. In the New Data Source page, select Input > Azure in the Connector drop-down list.
  2. Enter the following properties:
    Property Description

    Container

    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.

    File Path

    Azure blob file path.

     

  3. Click the Browse tab. The available Azure blob files in the container you specified are displayed.
  4. 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.
  5. Select the Only Show Know File Types checkbox to narrow down the list based on the selected data type.
  6. Select either the period (.) or comma (,) as the Decimal Separator.

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

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

    NOTE: This option is not available for the Excel data type.

  9. You can also opt to click to add columns to the Azure connection that represent sections of the message. Then enter or select:
    Property Description

    Name

    The column name of the source schema.

    JsonPath/Column Index/XPath

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

    Type

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

    Date Format

    The format when the data type is Time.

    Enabled

    Determines whether the message field should be processed.
     

    NOTE: 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 .

  10. Click  . The new data source is added in the Data Sources list.

 

 

 

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