wjones127 commented on a change in pull request #166:
URL: https://github.com/apache/arrow-cookbook/pull/166#discussion_r832407136
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File path: cpp/source/basic.rst
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@@ -48,3 +48,45 @@ boilerplate for you. It will run the contained expression
and check the resulti
.. recipe:: ../code/basic_arrow.cc ReturnNotOk
:caption: Using ARROW_RETURN_NOT_OK to check the status
:dedent: 2
+
+
+Using the Visitor Pattern
+=========================
+
+Arrow classes :cpp:class:`arrow::DataType`, :cpp:class:`arrow::Scalar`, and
+:cpp:class:`arrow::Array` have specialized subclasses for each Arrow type. In
+order to specialize logic for each subclass, you can use the visitor pattern.
+Arrow provides inline template functions that allow you to call visitors
+efficiently:
+
+ * :cpp:func:`arrow::VisitTypeInline`
+ * :cpp:func:`arrow::VisitScalarInline`
+ * :cpp:func:`arrow::VisitArrayInline`
+
+Generate Random Data
+--------------------
+
+See example at :ref:`Generate Random Data Example`.
+
+
+Generalize Computations Across Arrow Types
+------------------------------------------
+
+Array visitors can be useful when writing functions that can handle multiple
+array types. However, implementing a visitor for each type individually can be
+excessively verbose. Fortunately, Arrow provides type traits that allow you to
+write templated functions to handle subsets of types. The example below
+demonstrates a table sum function that can handle any integer or floating
point
+array with only a single visitor implementation by leveraging
+:cpp:type:`arrow::enable_if_number`.
Review comment:
Yes, I'll be adding those to the API docs in
https://issues.apache.org/jira/browse/ARROW-15975
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