Transfer final result files to remote server by using FTP, sFTP, WebDAV or Azure Blob Storage

General Information

Sometimes you want to transfer your result files that you have created locally in the SAWS Connector (e.g. export to an Excel file including the images, manuals and data sheets) to another server. This is easily done by configuring a job task plugin (see also Job-Related-Tasks).

To do this, select the task plugin “Send export files to a remote server” in the job.

Store the Job and select one of the following transfer methods:

Transfer files using FTP/sFTP

FTP/sFTP:
To transfer the Data to an FTP/sFTP server, you need to fill your FTP/sFTP server URL, the destination path on the server and your FTP/sFTP username/password.

Then you can go ahead and start your configured job. If your connection to the server is successful, you will be able to see this message in the log:

To check your export, you can for example use FileZilla to check the received data on the server:

Transfer files using WebDAV

The Transfer using WebDAV is requesting the same input values as your FTP/sFTP servers :

You can then start your configured job, on success you will see this messages displayed inside the job’s log:

To check the file transfer, simply log into your WebDAV and check the file inside your destination file:

Transfer files using Azure Blob Storage

To transfer the data to an Azure Blob Storage, you only need to specify the Azure Connection String and the container name. If the container does not exist, it will be created automatically.

The format of the Connection string must be provided in the following format:

DefaultEndpointsProtocol=[http|https];AccountName=[yourAccount];AccountKey=[yourKey]

How the data is transferred, i.e. unzipped, zipped, with sub-folders or without, can be set as for all other transfers. (see Common Settings for all transfer methods)

The result of the transfer can be viewed in the log. Depending on the log level of the job, different information is stored.

To check the transfer, you can use the Azure Storage Explorer