Tableau Wrangler was created from a need to better manage our Tableau Server instance, in conjunction with other tools in our data stack including dbt.

Currently Tableau Wrangler is focused on extracting details embedded in Workbook files (Datasources, Connections and Relations) as well as retrieving table references from embedded Custom SQL text fields inside Relation entities.

This may not mean much to you (unless you are a seasoned Tableau-er) but the above details can help answer questions like:

• Which Workbooks depend on which tables in which databases?
• How many Workbooks depend on Excel, CSV or Google Sheets?
• Who's credentials are used for embedded connections, in which Workbooks?

Having answers to all of these questions has helped us with wrangling our Tableau Server instance, which has several 100's of Workbooks.

In future, we hope to extend this tap to cover other metadata that is exposed by the Tableau Server API's directly (esp. Published Connections and child objects). PR submission very welcome. Watch this space!

This Singer-compliant tap was created using the Singer SDK.

See the dev guide for more instructions on how to use the Singer SDK to develop your own taps and targets.

This tap requires the following config:

{
    "username": "example.username",
    "password": "mysupersecretpassword",
    "host": "https://tableau.com",
    "batch_size": 50
}

batch_size is optional and represents the number of Workbooks to fetch in a single run. We found it necessary to add this to control the load on our Tableau Server; the tap will only download batch_size records at a time, in order of oldest modified (since the last bookmark, if a bookmark is available from a previous run). This ensures tap runs do not adversely affect regular users of Tableau Server/Web.