Spark SQL 官方文档中SQL Syntax一节对Grouping Sets语句的描述如下: Groups the rows for each grouping set specified after GROUPING SETS. (... 一些举例) This clause is a shorthand for aUNION ALLwhere each leg of theUNION ALLoperator performs aggregation of each grouping set specified in theGROUPIN...
Spark SQL 官方文档中SQL Syntax一节对Grouping Sets语句的描述如下: Groups the rows for each grouping set specified after GROUPING SETS. (... 一些举例) This clause is a shorthand for aUNION ALLwhere each leg of theUNION ALLoperator performs aggregation of each grouping set specified in theGROUPIN...
(yyyy,OrderDate) IN(N'2007',N'2008') AND DATEPART(mm,OrderDate) IN(1,2) AND DATEPART(dd,OrderDate) IN(1,2) GROUP BY ROLLUP(DATEPART(yyyy,OrderDate) ,DATEPART(mm,OrderDate) ,DATEPART(dd,OrderDate)) ORDER BY GROUPING_ID(DATEPART(mm,OrderDate) ,DATEPART(yyyy,OrderDate) ,DATEPART(dd...
Spark SQL 官方文档中SQL Syntax一节对Grouping Sets语句的描述如下: Groups the rows for each grouping set specified after GROUPING SETS. (... 一些举例) This clause is a shorthand for aUNION ALLwhere each leg of theUNION ALLoperator performs aggregation of each grouping set specified in theGROUPIN...
SQL>selectgroup_id(),deptno,sum(sal)fromempgroupbyrollup(deptno); GROUP_ID() DEPTNOSUM(SAL)--- --- ---0108750020108750309400029025 rollup(deptno)只是一个唯一的分组,所以产生的group_id()为0,代表这是同一个分组的结果。 下面我们来看看重复分组的情况 例2...
SQL> select group_id(),deptno,sum(sal) from emp group by rollup(deptno); GROUP_ID() DEPTNO SUM(SAL) --- --- --- 0 10 8750 0 20 10875 0 30 9400 0 29025 1. 2. 3. 4. 5. 6. 7. 8. rollup(deptno)...
[Group] = N'Europe' AND T.CountryRegionCode IN(N'DE', N'FR') AND DATEPART(yyyy,OrderDate) = '2006' GROUP BY GROUPING SETS( (T.[Group], T.CountryRegionCode) ,(DATEPART(yyyy,OrderDate), DATEPART(mm,OrderDate))) ORDER BY T.[Group], T.CountryRegionCode ,DATEPART(yyyy,OrderDate),...
ROLLUP、CUBE 和 GROUPING SETS 运算符是 GROUP BY 子句的扩展。ROLLUP、CUBE 或 GROUPING SETS 运算符可以生成与使用 UNION ALL 来组合单个分组查询时相同的结果集;但是,使用其中一种 GROUP BY 运算符通常更有效。 GROUPING SETS 运算符可以生成与使用单个 GROUP BY、ROLLUP 或 CUBE 运算符所生成的结果集相同的...
Then after hiding the original ‘Provider’ column and using aREORDER COLUMNSstep and aPIVOT DATAstep we’ll get the same table arrangement we got in SQL Mode and can present the same table we did in SQL Mode. While it may take a few more clicks and steps than in SQL Mode, the resul...
Transact-SQL 语法约定 语法 syntaxsql复制 GROUPING_ID(<column_expression>[ , ...n ] ) 参数 <column_expression> SELECT - GROUP BY子句中的column_expression。 返回类型 int 注解 必须与GROUPING_ID <column_expression>列表中的表达式GROUP BY完全匹配。 例如,如果要分组依据DATEPART (yyyy, <column name>...