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
-
On the left of the dataset header, click the Go back arrow to return to the dataset
list.
-
Click Basic to enable the faceted search.
You will be guided at each step to add the available facet, operator and values to
search for.
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Click Add filter to start creating your facet.
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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.
-
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.
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.
-
Click the Add filter
button once more.
-
Select as facet.
This menu lists all the custom attributes definitions available on the
account. For now, it only displays the one your previously created.
-
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.
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.