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A dataview "source" is something that identifies a set of files, tasks, or other data object. Sources are indexed internally by Dataview, so they are fast to query. Dataview currently supports four source types:

  1. Tags: Sources of the form #tag. These match all files / sections / tasks with the given tag.
  2. Folders: Sources of the form "folder". These match all files / sections / tasks contained in the given folder. The full vault path is expected instead of just the folder name. Note that trailing slashes are not supported, i.e. "Path/To/Folder/" will not work but "Path/To/Folder" will.
  3. Specific Files: You can select from a specific file by specifying it's full path: "folder/File".
    • If you have both a file and a folder with the exact same path, Dataview will prefer the folder. You can force it to read from the file by specifying an extension: folder/
  4. Links: You can either select links to a file, or all links from a file.
    • To obtain all pages which link to [[note]], use [[note]].
    • To obtain all pages which link from [[note]] (i.e., all the links in that file), use outgoing([[note]]).
    • You can implicitly reference the current file via [[#]] or [[]], i.e. [[]] lets you query from all files linking to the current file.

You can compose these filters in order to get more advanced sources using and and or.

  • For example, #tag and "folder" will return all pages in folder and with #tag.
  • Querying from #food and !#fastfood will only return pages that contain #food but does not contain #fastfood.
  • [[Food]] or [[Exercise]] will give any pages which link to [[Food]] OR [[Exercise]].

If you have complex queries where grouping or predecence matters, you can use parenthesis to logically group them:

  • #tag and ("folder" or #other-tag)
  • (#tag1 or #tag2) and (#tag3 or #tag4)

Sources are used in both the FROM query statement, as well as various JavaScript API query calls.