有没有人能帮我在spark sql中做一个透视图?我一直在努力让这个查询运行起来。Gaesh price_status MATCH 5/6/18 1:23对于SQL(select * from meta_data where country='US' and date=to_date('{RUN_DATE_YYYY/MM/DD}
是否可以在APEX交互式网格查询中添加动态透视表列?PL/SQL函数体返回SQL查询: l_statement(sum(sal) for deptno IN (10 DEP1,20 DEP2,null DEP3)) Piv
PIVOT (sum(sal) for deptno IN (##PIV_COL##-> (10 DE
我有一个列表变量,如下所示:{% set options = ["a", "b", "c"] %}df as ( from my_tablepivot (sum(value) for option in ({{options}}))当DBT编译SQL时,结果是: select *
from my_tablepivot (sum(value) for optio
我们如何在一个数据帧中的多个列上进行透视。例如,这里提到的例子,https://spark.apache.org/docs/latest/sql-ref-syntax-qry-select-pivot.html SELECT * FROM personPIVOT ( FOR (name, age) IN (('John', 30) AS c1,
SELECT * FROM (SELECT year, amount, month FROM test) AS table1 (SUM(amount)
for monthYou have an error in your SQL syntax; check the manual that corresponds to your MySQL server version