Upload data sources file to ÃÛ¶¹ÊÓÆµ
Sending a data sources file to ÃÛ¶¹ÊÓÆµ involves a typical authenticated FTP workflow. You can use Windows Explorer, Finder, or a dedicated FTP client to upload the desired files to ÃÛ¶¹ÊÓÆµâ€™s FTP location.
Locate the FTP credentials in the Data sources manager. Each data source has a link to its FTP Info. Each FTP location is dedicated to that specific data source; you cannot use the same FTP location for multiple data sources.
For security reasons, FTP locations without any activity for 30+ days are disabled.
The .fin
file
A vital part of successfully ingesting a data sources file is the inclusion of a .fin
file. This file indicates to ÃÛ¶¹ÊÓÆµ that the data file is ready for processing. If you upload a data sources file without a corresponding .fin
file, ÃÛ¶¹ÊÓÆµ never processes that data.
The .fin
file has the following properties:
- The file has a
.fin
extension. Make sure that your operating system allows you to see and edit file types. - The file is empty. Do not store data inside the
.fin
file. - The file has the exact same name as the data sources file. For example, if you upload a data sources file named
example.txt
, the.fin
file must be namedexample.fin
. If they are not identically named, ÃÛ¶¹ÊÓÆµ never processes the data sources file.
Once both the data source file and .fin
file are uploaded to the FTP site, ÃÛ¶¹ÊÓÆµ processes the file. Do not upload the .fin
file until the data sources file is fully uploaded. If the .fin
file is prematurely uploaded, ÃÛ¶¹ÊÓÆµ retrieves and ingests the partially uploaded file, throwing possible errors.
Processing order
If you upload multiple files at the same time to the FTP site, ÃÛ¶¹ÊÓÆµ ingests them in alphanumeric order. If your organization requires files to be ingested in a specific order, make sure that their file names are named alphanumerically.
Processing time
To ensure the fastest processing of files, ÃÛ¶¹ÊÓÆµ recommends aggregating metric data into a single row per date. For example, this data sources file, while valid, would be processed slower:
date
eVar1
event1
event2
event3
07/24/YYYY
red
1
07/24/YYYY
red
1
07/24/YYYY
red
1
07/24/YYYY
red
1
This file would be processed faster, which contains the same data:
date
eVar1
event1
event2
event3
07/24/YYYY
red
2
1
1