maropu commented on a change in pull request #28087: [SPARK-31319][SQL][DOCS]
Document UDF in SQL Reference
URL: https://github.com/apache/spark/pull/28087#discussion_r401322309
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File path: docs/sql-ref-functions-udf-aggregate.md
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@@ -1,22 +1,65 @@
---
layout: global
-title: User defined Aggregate Functions (UDAF)
-displayTitle: User defined Aggregate Functions (UDAF)
+title: User Defined Aggregate Functions (UDAF)
+displayTitle: User Defined Aggregate Functions (UDAF)
license: |
Licensed to the Apache Software Foundation (ASF) under one or more
contributor license agreements. See the NOTICE file distributed with
this work for additional information regarding copyright ownership.
The ASF licenses this file to You under the Apache License, Version 2.0
(the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
-
+
http://www.apache.org/licenses/LICENSE-2.0
-
+
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
---
-**This page is under construction**
+### Description
+
+User-Defined Aggregate Functions (UDAFs) are user-defined functions that act
on multiple rows at once and return a single value as a result. This
documentation contains examples that demonstrate how to define and register
UDAFs in Scala and invoke them in SPARK SQL.
+
+### Examples
+
+{% highlight sql %}
+
+// Define, register a UDAF to calculate the sum of product of two columns
+// Scala
+import functions.udf
Review comment:
`import functions.udf` -> `import org.apache.spark.sql.functions.udf`?
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