Defining the Format in Data Sources
You can select the format to use in the connector for Azure, Google Cloud, and S3 data sources.
Steps:
1. Select the Data Type:
· JSON
If JSON is selected, enter the Record Path which allows the identification of multiple records within the JSON document (e.g., myroot.items.item).
· Text
If Text is selected, confirm the Decimal Separator, Text Qualifier, Column Delimiter, and if the first row of the message includes column headings.
· XML
If XML is selected, enter the Record Path which allows the identification of multiple records within the XML document (e.g., //myroot/items/item).
· Excel
For Excel file type, select the required sheet and adjust the headers on first row, if needed.
2. Define or set the columns that represent the sections of the file.
3. 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 uppercase 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 .