Data Controller for SAS: File Uploads¶
Files can be uploaded via the Editor interface - first choose the library and table, then click "Upload". All versions of excel are supported. If loading very large files (eg over 10mb) it is more efficient to use CSV format, as this bypasses the local rendering engine, but also the local DQ checks - so be careful! For CSV, alternative delimiters can be used (eg semicolons).
Uploaded data may optionally contain a column named
_____DELETE__THIS__RECORD_____ - where this contains the value "Yes" the row is marked for deletion.
The rules for data extraction are:
- Scan the spreadsheet until a row is found with all the target columns (not case sensitive)
- Extract data below until the first row containing a blank primary key value
This is incredibly flexible, and means:
- data can be anywhere, on any worksheet
- data can contain additional columns (they are just ignored)
- data can be completely surrounded by other data
A copy of the original Excel file is also uploaded to the staging area. This means that a complete audit trail can be captured, right back to the original source data.
If the excel contains more than one range with the target columns (eg, on different sheets), only the FIRST will be extracted.
The following should be considered when uploading data in this way:
- A header row (with variable names) is required
- Variable names must match the target (not case sensitive). An easy way to ensure this is to download the data from Viewer and use this as a template.
- Duplicate variable names are not permitted
- Missing columns are not permitted
- Additional columns are ignored
- The order of variables does not matter EXCEPT for the (optional)
_____DELETE__THIS__RECORD_____variable. When using this variable, it must be the first.
- The delimiter is extracted from the header row - so for
var1;var2;var3the delimeter would be assumed to be a semicolon
- The above assumes the delimiter is the first special character! So
- The following characters should not be used as delimiters
When loading dates, be aware that Data Controller makes use of the
ANYDTDTTME informats (width 19).
This means that uploaded date / datetime values should be unambiguous (eg
01/02/42), to avoid confusion - as the latter could be interpreted as
02JAN2042 depending on your locale and options
YEARCUTOFF settings. Note that UTC dates with offset values (eg
2018-12-26T09:19:25.123+0100) are not currently supported. If this is a feature you would like to see, contact us.
To get a copy of a file in the right format for upload, use the file download feature in the Viewer tab