转自:https://docs.oracle.com/cd/E11882_01/server.112/e25554/aggreg.htm#DWHSG8618
CUBE Syntax
CUBE
appears in the GROUP
BY
clause in a SELECT
statement. Its form is:
SELECT … GROUP BY CUBE (grouping_column_reference_list)
SELECT channel_desc, calendar_month_desc, countries.country_iso_code, TO_CHAR(SUM(amount_sold), '9,999,999,999') SALES$ FROM sales, customers, times, channels, countries WHERE sales.time_id=times.time_id AND sales.cust_id=customers.cust_id AND sales.channel_id= channels.channel_id AND customers.country_id = countries.country_id AND channels.channel_desc IN ('Direct Sales', 'Internet') AND times.calendar_month_desc IN ('2000-09', '2000-10') AND countries.country_iso_code IN ('GB', 'US') GROUP BY CUBE(channel_desc, calendar_month_desc, countries.country_iso_code); CHANNEL_DESC CALENDAR CO SALES$ -------------------- -------- -- -------------- 1,790,032 GB 208,257 US 1,581,775 2000-09 864,217 2000-09 GB 101,792 2000-09 US 762,425 2000-10 925,815 2000-10 GB 106,465 2000-10 US 819,351 Internet 292,387 Internet GB 31,109 Internet US 261,278 Internet 2000-09 140,793 Internet 2000-09 GB 16,569 Internet 2000-09 US 124,224 Internet 2000-10 151,593 Internet 2000-10 GB 14,539 Internet 2000-10 US 137,054 Direct Sales 1,497,646 Direct Sales GB 177,148 Direct Sales US 1,320,497 Direct Sales 2000-09 723,424 Direct Sales 2000-09 GB 85,223 Direct Sales 2000-09 US 638,201 Direct Sales 2000-10 774,222 Direct Sales 2000-10 GB 91,925 Direct Sales 2000-10 US 682,297
ROLLUP Syntax
ROLLUP
appears in the GROUP
BY
clause in a SELECT
statement. Its form is:
SELECT … GROUP BY ROLLUP(grouping_column_reference_list)
This example uses the data in the sh
sample schema data, the same data as was used in Figure 21-1. The ROLLUP
is across three dimensions.
SELECT channels.channel_desc, calendar_month_desc, countries.country_iso_code, TO_CHAR(SUM(amount_sold), '9,999,999,999') SALES$ FROM sales, customers, times, channels, countries WHERE sales.time_id=times.time_id AND sales.cust_id=customers.cust_id AND customers.country_id = countries.country_id AND sales.channel_id = channels.channel_id AND channels.channel_desc IN ('Direct Sales', 'Internet') AND times.calendar_month_desc IN ('2000-09', '2000-10') AND countries.country_iso_code IN ('GB', 'US') GROUP BY ROLLUP(channels.channel_desc, calendar_month_desc, countries.country_iso_code); CHANNEL_DESC CALENDAR CO SALES$ -------------------- -------- -- -------------- Internet 2000-09 GB 16,569 Internet 2000-09 US 124,224 Internet 2000-09 140,793 Internet 2000-10 GB 14,539 Internet 2000-10 US 137,054 Internet 2000-10 151,593 Internet 292,387 Direct Sales 2000-09 GB 85,223 Direct Sales 2000-09 US 638,201 Direct Sales 2000-09 723,424 Direct Sales 2000-10 GB 91,925 Direct Sales 2000-10 US 682,297 Direct Sales 2000-10 774,222 Direct Sales 1,497,646 1,790,032
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仔细观察一下,CUBE与ROLLUP之间的细微差别
rollup(a,b) 统计列包含:(a,b)、(a)、()
rollup(a,b,c) 统计列包含:(a,b,c)、(a,b)、(a)、()
……以此类推ing……
cube(a,b) 统计列包含:(a,b)、(a)、(b)、()
cube(a,b,c) 统计列包含:(a,b,c)、(a,b)、(a,c)、(b,c)、(a)、(b)、(c)、()
……以此类推ing……