kevinyu98 commented on a change in pull request #28120:
[SPARK-31349][SQL][DOCS] Document built-in aggregate functions in SQL Reference
URL: https://github.com/apache/spark/pull/28120#discussion_r405974398
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File path: docs/sql-ref-functions-builtin-aggregate.md
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@@ -19,4 +19,657 @@ license: |
limitations under the License.
---
-Aggregate functions
\ No newline at end of file
+Spark SQL provides build-in aggregate functions defined in the dataset API and
SQL interface. Aggregate functions
+operate on a group of rows and return a single aggregated value.
+
+<table class="table">
+ <thead>
+ <tr><th style="width:25%">Function</th><th>Argument
Type(s)</th><th>Description</th></tr>
+ </thead>
+ <tbody>
+ <tr>
+ <td><b>{any | some | bool_or}</b>(<i>expression</i>)</td>
+ <td>boolean</td>
+ <td>Returns true if at least one value is true.</td>
+ </tr>
+ <tr>
+ <td><b>approx_count_distinct</b>(<i>expression[, relativeSD]</i>)</td>
+ <td>(long, double)</td>
+ <td>`relativeSD` is the maximum estimation error allowed. Returns the
estimated cardinality by HyperLogLog++.</td>
+ </tr>
+ <tr>
+ <td><b>{avg | mean}</b>(<i>expression</i>)</td>
+ <td>short, float, byte, decimal, double, int, long or string</td>
+ <td>Returns the average of values in the input expression.</td>
+ </tr>
+ <tr>
+ <td><b>{bool_and | every}</b>(<i>expression</i>)</td>
+ <td>boolean</td>
+ <td>Returns true if all values are true.</td>
+ </tr>
+ <tr>
+ <td><b>collect_list</b>(<i>expression</i>)</td>
+ <td>any</td>
+ <td>Collects and returns a list of non-unique elements. The function is
non-deterministic because the order of collected results depends on the order
of the rows which may be non-deterministic after a shuffle.</td>
+ </tr>
+ <tr>
+ <td><b>collect_set</b>(<i>expression</i>)</td>
+ <td>any</td>
+ <td>Collects and returns a set of unique elements. The function is
non-deterministic because the order of collected results depends on the order
of the rows which may be non-deterministic after a shuffle.</td>
+ </tr>
+ <tr>
+ <td><b>corr</b>(<i>expression1, expression2</i>)</td>
+ <td>(double, double)</td>
+ <td>Returns Pearson coefficient of correlation between a set of number
pairs.</td>
+ </tr>
+ <tr>
+ <td><b>count</b>([<b>DISTINCT</b>] <i>*</i>)</td>
+ <td>none</td>
+ <td>If specified <code>DISTINCT</code>, returns the total number of
retrieved rows are unique and not null; Otherwise, returns the total number of
retrieved rows, including rows containing null.</td>
+ </tr>
+ <tr>
+ <td><b>count</b>([<b>DISTINCT</b>] <i>expression1[,
expression2</i>])</td>
+ <td>(any, any)</td>
+ <td>If specified <code>DISTINCT</code>, returns the number of rows for
which the supplied expression(s) are unique and not null; Otherwise, returns
the number of rows for which the supplied expression(s) are all not null.</td>
+ </tr>
+ <tr>
+ <td><b>count_if</b>(<i>predicate</i>)</td>
+ <td>expression that will be used for aggregation calculation</td>
+ <td>Returns the count number from the predicate evaluate to `TRUE`
values.</td>
+ </tr>
+ <tr>
+ <td><b>count_min_sketch</b>(<i>expression, eps, confidence,
seed</i>)</td>
+ <td>(byte, short, int, long, string or binary, double, double,
integer)</td>
Review comment:
done
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