Opening the Destination Settings #

  1. Create or select an existing extraction (see also Getting Started with Table).
  2. Click [Destinations]. The window “Destination Settings” opens. Destination-settings

The following settings can be defined for the destination:

Destination Settings #

XU_S3_DestinationEinstellungen

File Name #

determines the name of the target table. You have the following options:

  • Same as name of SAP object: Copy the name of the SAP object
  • Same as name of extraction: Adopt name of extraction
  • Custom: Here you can define your own name.

  • Append timestamp: adds the current timestamp in the format [_YYYY_MM_DD_hh_mm_ss_fff] to the file name of the extraction.

Column name style #

Defines the style of the column name. Following options are available:

column_name_style_options

  • Code: The SAP technical column name is used as column name in the destination e.g., MAKTX.
  • PrefixedCode: The SAP technical column name is prefixed by SAP object name and the tilde character e.g., MAKT~MAKTX
  • CodeAndText: The SAP technical column name and the SAP description separated by an underscore are used as column name in the destination e.g., MAKTX_Material Description (Short Text).
  • TextAndCode: The SAP description and the SAP technical column name description separated by an underscore are used as column name in the destination e.g., Material Description (Short Text)_MAKTX.

Date conversion #

Convert date strings
Converts the character-type SAP date (YYYYMMDD, e.g., 19900101) to a special date format (YYYY-MM-DD, e.g., 1990-01-01). Target data uses a real date data-type and not the string data-type to store dates.

Convert invalid dates to
If an SAP date cannot be converted to a valid date format, the invalid date is converted to the entered value. NULL is supported as a value.

When converting the SAP date the two special cases 00000000 and 9999XXXX are checked at first.

Convert 00000000 to
Converts the SAP date 00000000 to the entered value.

Convert 9999XXXX to
Converts the SAP date 9999XXXX to the entered value.

Folder Path

Enter a folder name without slashes here if you want the extraction to be extracted to a folder within an S3 bucket.
Subfolders are also supported and can be entered as follows: Folder/Subfolder1/Subfolder2/…

Compression

None
Data is being transferred uncompressed and stored as a .csv file on S3.

gzip
Data is being transferred in a compressed format and stoard as a .gz file on S3.