loading multiple tables in one river where source is azure blob storage and target is snowflake

Can Rivery load multiple tables in target database when source is a azure blob storage connection having multiple files in it ?

hi @adas,

No, unfortunately this functionality is not out of the box. It’s 1 output table per river for file storage sources. However, depending on the use case (for example, if all the files have the same schema), you could use a logic river after the initial load to ‘slice’ the full dataset into it’s individual tables. This article describes how to set something like that up.

Hope this helps!