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documented "extract" mapping key for SQL backend

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commit bc5e68864539e639f182b03e7c9ed9770fec6ffb 1 parent b89b504
Stefan Urbanek authored
Showing with 24 additions and 3 deletions.
  1. +24 −3 doc/mapping.rst
27 doc/mapping.rst
@@ -71,8 +71,6 @@ If it is in different schema or any part of the reference contains a dot:
-Disadvantage of the explicit way is it's verbosity and the fact that developer
-has to write more metadata, obviously.
Both, explicit and implicit mappings have ability to specify default database
schema (if you are using Oracle, PostgreSQL or any other DB which supports
@@ -135,7 +133,30 @@ that your dimension will be more detailed.
the mapping is done.
-.. _PhysicalAttributeMappings:
+Date Data Type
+Date datatype column can be turned into a date dimension by extracting date
+parts in the mapping. To do so, for each date attribute specify a ``column``
+name and part to be extracted with value for ``extract`` key.
+.. code-block:: javascript
+ "mappings": {
+ "date.year": {"column":"date", "extract":"year"},
+ "date.month": {"column":"date", "extract":"month"},
+ "": {"column":"date", "extract":"day"}
+ }
+According to SQLAlchemy, you can extract in most of the databases: ``month``,
+``day``, ``year``, ``second``, ``hour``, ``doy`` (day of the year),
+``minute``, ``quarter``, ``dow`` (day of the week), ``week``, ``epoch``,
+``milliseconds``, ``microseconds``, ``timezone_hour``, ``timezone_minute``.
+Please refer to your database engine documentation for more information.
+.. note::
+ It is still recommended to have a date dimension table.
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