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48 lines
1.7 KiB
ReStructuredText
48 lines
1.7 KiB
ReStructuredText
Druid
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=====
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Superset has a native connector to Druid, and a majority of Druid's
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features are accessible through Superset.
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.. note ::
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Druid now supports SQL and can be accessed through Superset's
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SQLAlchemy connector. The long term vision is to deprecate
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the Druid native REST connector and query Druid exclusively through
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the SQL interface.
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Aggregations
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------------
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Common aggregations, or Druid metrics can be defined and used in Superset.
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The first and simpler use case is to use the checkbox matrix expose in your
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datasource's edit view (``Sources -> Druid Datasources ->
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[your datasource] -> Edit -> [tab] List Druid Column``).
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Clicking the ``GroupBy`` and ``Filterable`` checkboxes will make the column
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appear in the related dropdowns while in explore view. Checking
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``Count Distinct``, ``Min``, ``Max`` or ``Sum`` will result in creating
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new metrics that will appear in the ``List Druid Metric`` tab upon saving the
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datasource. By editing these metrics, you'll notice that they their ``json``
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element correspond to Druid aggregation definition. You can create your own
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aggregations manually from the ``List Druid Metric`` tab following Druid
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documentation.
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.. image:: images/druid_agg.png
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:scale: 50 %
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Post-Aggregations
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-----------------
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Druid supports post aggregation and this works in Superset. All you have to
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do is creating a metric, much like you would create an aggregation manually,
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but specify ``postagg`` as a ``Metric Type``. You then have to provide a valid
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json post-aggregation definition (as specified in the Druid docs) in the
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Json field.
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Unsupported Features
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--------------------
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.. note ::
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Unclear at this point, this section of the documentation could use
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some input.
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