huaxingao commented on a change in pull request #27283: [SPARK-30574][DOC] Document GROUP BY Clause of SELECT statement in SQL Reference. URL: https://github.com/apache/spark/pull/27283#discussion_r368360778
########## File path: docs/sql-ref-syntax-qry-select-groupby.md ########## @@ -18,5 +18,206 @@ license: | See the License for the specific language governing permissions and limitations under the License. --- +The <code>GROUP BY</code> clause is used to group the rows based on a set of specified grouping expressions and compute aggregations on +the group of rows based on one or more specified aggregate functions. Spark also supports advanced aggregations to do multiple +aggregations for the same input record set via `GROUPING SETS`, `CUBE`, `ROLLUP` clauses. -**This page is under construction** +### Syntax +{% highlight sql %} +GROUP BY [ GROUPING SETS grouping_sets ] group_expression [ , group_expression [ , ... ] ] + [ ( WITH ROLLUP | WITH CUBE | GROUPING SETS grouping_sets ) ) ] +{% endhighlight %} + +### Parameters +<dl> + <dt><code><em>GROUPING SETS</em></code></dt> + <dd> + Groups the rows for each subset of the expressions specified in the grouping sets. For example, + <code>GROUP BY GROUPING SETS (warehouse, product)</code> is semantically equivalent + to union of results of <code>GROUP BY warehouse</code> and <code>GROUP BY product</code>. This clause + is a short-hand to using an <code>UNION ALL</code> where each leg of the <code>UNION ALL</code> + operator performs aggregation of subset of the columns specified in the <code>GROUPING SETS</code> clause. + </dd> + <dt><code><em>grouping_sets</em></code></dt> + <dd> + Specifies one of more groupings based on which the <code>GROUP BY</code> clause performs aggregations. A grouping + set is specified by a list of comma separated expressions in parenthses.<br><br> + <b>Syntax:</b> + <code> + (() | (expression [ , ...])) + </code> + </dd> + <dt><code><em>grouping_expression</em></code></dt> + <dd> + Specifies the crieteria based on which the rows are grouped together. A grouping expression may be a column alias, + a column position or an expression. + </dd> + <dt><code><em>ROLLUP</em></code></dt> + <dd> + Specifies multiple levels of aggregations in a single statement. This clause is used to compute aggregations + based on multiple grouping sets. <code>ROLLUP</code> is a short-hand for <code>GROUPING SETS</code>. For example, + GROUP BY warehouse, product WITH ROLLUP is equivalent to GROUP BY warehouse, product GROUPING SETS ((warehouse, product), (warehouse), ()). + The N elements of a <code>ROLLUP</code> specification results in N+1 <code>GROUPING SETS</code>. + </dd> + <dt><code><em>CUBE</em></code></dt> + <dd> + <code>CUBE</code> clause is used to perform aggregations based on combination of grouping columns specified in the + <code>GROUP BY</code> clause. For example, <code>GROUP BY warehouse, product WITH CUBE</code> is equivalent + to GROUP BY warehouse, product GROUPING SETS ((warehouse, product), (warehouse), (product), ()). + The N elements of a <code>CUBE</code> specification results in 2^N <code>GROUPING SETS</code>. + </dd> +</dl> + +### Examples +{% highlight sql %} +CREATE TABLE dealer (id INT, city STRING, car_model STRING, quantity INT); +INSERT INTO dealer VALUES (100, 'Fremont', 'Honda Civic', 10), Review comment: There is an extra space between ```dealer``` and ```VALUES``` ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org