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Performing a faceted search on your inventory

You can use faceted search to intuitively and efficiently combine several criteria and search among your list of datasets. At the moment, your inventory is comprised of the three demo datasets that were imported during the guided tour, and the movies_gsg dataset that you created yourself. To illustrate how you can benefit from a well documented inventory and a good use of custom metadata and other attributes, you will perform a search based on the new custom attribute that you have just created and applied.

Procedure

  1. On the left of the dataset header, click the Go back arrow to return to the dataset list.
  2. Click Basic to enable the faceted search.
    Faceted search switch button.

    You will be guided at each step to add the available facet, operator and values to search for.

  3. Click Add filter to start creating your facet.
  4. From the list that opens, select Connection Type as your first facet.
    In will be automatically set as operator, because you will have to choose from a list of existing values. Depending on the facet, the list of available operators will differ.
  5. As for the value, select local connection from the list and click Apply.

    You can only choose from a list of connections already set up in the connections page, and for now, this is the only type available to you.

    Connection type facet with the value local connection.

    The filter is created and applied on the list of datasets. You can see that at the moment, adding this criterion did not impact the datasets listed in the page since they are all based on a local connection. So you will be adding another filter, based on a custom attribute this time, to refine your search.

  6. Click the Add filter button once more.
  7. Select Custom attributes > To clean as facet.

    This menu lists all the custom attributes definitions available on the account. For now, it only displays the one your previously created.

  8. From the list of values that correspond to this attribute, select yes and click Apply.

    The operator will be In again by default.

    This time, after combining the two filters, only the movies_gsg dataset remains, since it is the only one matching all the filters from your search. The logical operator between two entries in a badge is or, while the logical operator between badges is and. Each badge can be edited afterward by directly clicking the part you want to change.

    To clean facet with the value Yes.

Results

You are now able to perform a search based on the criteria of your choice, and see the impact on the list of datasets.

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