SELECT CASE WHEN grouping(fskgk) = 1 THEN '合计' ELSE fskgk END AS fskgk, SUM(fssjejn) AS fssjejn, SUM(fssjeqn) AS fssjeqn , SUM(fssjedqn) AS fssjedqn, SUM(fhsjn) AS fhsjn , SUM(fhsqn) AS fhsqn, SUM(fhsdqn) AS fhsdqn , round(decode(SUM(fssjeqn), 0, 0, (SUM(fssjejn) - SUM(fssjeqn)) / SUM(fssjeqn)) * 100, 2) AS fcsbjn , round(decode(SUM(fssjedqn), 0, 0, (SUM(fssjeqn) - SUM(fssjedqn)) / SUM(fssjedqn)) * 100, 2) AS fcsbqn , round(decode(SUM(fhsqn), 0, 0, (SUM(fhsjn) - SUM(fhsqn)) / SUM(fhsqn)) * 100, 2) AS hjbjn , round(decode(SUM(fhsdqn), 0, 0, (SUM(fhsqn) - SUM(fhsdqn)) / SUM(fhsdqn)) * 100, 2) AS hjbqn FROM ( SELECT fskgk , round(SUM(fssjejn) / 10000, 2) AS fssjejn , round(SUM(fssjeqn) / 10000, 2) AS fssjeqn , round(SUM(fssjedqn) / 10000, 2) AS fssjedqn , nvl(SUM(fhsjn), 0) AS fhsjn , nvl(SUM(fhsqn), 0) AS fhsqn , nvl(SUM(fhsdqn), 0) AS fhsdqn FROM ( SELECT substr(frkrq, 1, 4) AS fyears, fskgk , SUM(车船税) AS fssjejn, 0 AS fssjeqn, 0 AS fssjedqn FROM zhzs_srfx_ss_all WHERE substr(frkrq, 1, 4)='2023' GROUP BY fskgk, substr(frkrq, 1, 4) UNION ALL SELECT substr(frkrq, 1, 4)AS fyears, fskgk , 0 AS fssjejn, SUM(车船税) AS fssjeqn, 0 AS fssjedqn FROM zhzs_srfx_ss_all WHERE substr(frkrq, 1, 4)='2022' GROUP BY fskgk, substr(frkrq, 1, 4) UNION ALL SELECT substr(frkrq, 1, 4)AS fyears, fskgk , 0 AS fssjejn, 0 AS fssjeqn, SUM(车船税) AS fssjedqn FROM zhzs_srfx_ss_all WHERE substr(frkrq, 1, 4)='2021' GROUP BY fskgk, substr(frkrq, 1, 4) ) a left JOIN ( SELECT substr(fcldjsj, 1, 4) AS years, fssqx , fclspswl AS fhsjn, '0' AS fhsqn, '0' AS fhsdqn FROM zhzs_bill_clspdjxx WHERE substr(fcldjsj, 1, 4) = '2023' GROUP BY substr(fcldjsj, 1, 4), fssqx, fclspswl UNION ALL SELECT substr(fcldjsj, 1, 4) AS years, fssqx , '0' AS fhsjn, fclspswl AS fhsqn, '0' AS fhsdqn FROM zhzs_bill_clspdjxx WHERE substr(fcldjsj, 1, 4) = '2022' GROUP BY substr(fcldjsj, 1, 4), fssqx, fclspswl UNION ALL SELECT substr(fcldjsj, 1, 4) AS years, fssqx , '0' AS fhsjn, '0' AS fhsqn, fclspswl AS fhsdqn FROM zhzs_bill_clspdjxx WHERE substr(fcldjsj, 1, 4) = '2021' GROUP BY substr(fcldjsj, 1, 4), fssqx, fclspswl ) b ON a.fyears = b.years and a.fskgk = b.fssqx GROUP BY fskgk ) GROUP BY ROLLUP (fskgk) ORDER BY CASE WHEN fskgk = '合计' THEN 1 ELSE 2 END

这是一段 SQL 查询语句，作用是对一个数据表中的数据进行聚合计算，并且按照一定的规则排序后返回结果。该查询语句主要包括以下几个部分：

1. SELECT 子句：选择需要查询的列，以及对这些列进行聚合计算的函数。

2. FROM 子句：指定需要查询的数据表。

3. WHERE 子句：指定过滤数据的条件。

4. GROUP BY 子句：根据指定的列对数据进行分组。

5. UNION ALL：将多个 SELECT 语句的结果合并成一个结果集。

6. JOIN：将两个数据表进行连接。

7. ROLLUP：对 GROUP BY 的结果进行汇总。

8. ORDER BY：根据指定的规则对结果进行排序。

具体查询的意义需要根据数据表的结构和业务需求进行分析。

相关问题

case when和grouping sets执行顺序

引用\[3\]中提到，可以通过在SELECT语句中使用CASE WHEN来判断grouping sets的行。具体来说，可以使用grouping_id函数生成的二进制数来判断不同的grouping sets。例如，可以使用CASE WHEN语句来判断grouping_id的二进制数，从而确定不同的汇总级别。\[3\]所提到的示例中，使用了rpad、reverse和bin函数来处理grouping_id的二进制数，并根据不同的情况给出相应的标签。因此，CASE WHEN语句的执行顺序是在grouping sets之后进行的。
#### 引用[.reference_title]
- *1* [grouping sets函数](https://blog.csdn.net/weixin_47621995/article/details/108112707)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [SQL：grouping sets详解](https://blog.csdn.net/weixin_47198715/article/details/130727884)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [grouping sets的使用](https://blog.csdn.net/weixin_49118237/article/details/111881202)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control,239^v3^insert_chatgpt"}} ] [.reference_item]
[ .reference_list ]

select deptno, count(*) as c from emp0 group by grouping sets ((), (deptno));

这是一个 SQL 查询语句，用于统计 emp0 表中每个部门的员工数，同时还包括所有部门的总员工数。

其中，`grouping sets` 是一个分组函数，它可以同时对多个分组键进行分组统计。`()` 表示空分组，即不按任何条件分组，`(deptno)` 表示按照部门编号进行分组。

整个语句的含义是：先按空分组统计所有部门的总员工数，再按部门编号分组统计每个部门的员工数。最终返回两个分组的结果集合并在一起。

注意，这个查询语句可能不适用于所有的 SQL 数据库，因为不同的数据库支持的分组函数和语法可能不同。