(DOCSP-21084) Support for pushed filters (#93)

* (DOCSP-21084) Support for pushed filters

Author: zach-carr

source/includes/pushed-filters.rst

@@ -0,0 +1,23 @@
+When using filters with DataFrames or Datasets, the
+underlying MongoDB Connector code constructs an :manual:`aggregation
+pipeline </core/aggregation-pipeline/>` to filter the data in
+MongoDB before sending it to Spark. This improves Spark performance 
+by retrieving and processing only the data you need.
+
+MongoDB Spark Connector turns the following filters into 
+aggregation pipeline stages:
+
+- And
+- EqualNullSafe
+- EqualTo
+- GreaterThan
+- GreaterThanOrEqual
+- In
+- IsNull
+- LessThan
+- LessThanOrEqual
+- Not
+- Or
+- StringContains
+- StringEndsWith
+- StringStartsWith

source/python/filters-and-sql.txt

@@ -1,12 +1,7 @@
 Filters
 -------
 
-.. note::
-
-   When using filters with DataFrames or the Python API, the
-   underlying Mongo Connector code constructs an :manual:`aggregation
-   pipeline </core/aggregation-pipeline/>` to filter the data in
-   MongoDB before sending it to Spark.
+.. include:: includes/pushed-filters.rst
 
 Use ``filter()`` to read a subset of data from your MongoDB collection.