SQL PARTITION BY的基础应用如上一篇所示: 1.例子见前一章,目的是有分组的,只显示OrderAmount最高的(即每组只显示一列) 2.再建一个表来存储 CREATETABLE[dbo].[MaxOrders]([orderid][int]NULL,[Orderdate][date]NULL,[CustomerName][varchar](100)NULL,[Customercity][varchar](100)NULL,[MaxOrderamount]...
INSERT [dbo].[Orders] VALUES (216090, CAST(N'1826-12-19'AS Date), N'Edward', N'Phoenix',4713.8900) GO INSERT [dbo].[Orders] VALUES (508220, CAST(N'1826-12-09'AS Date), N'Aria', N'San Francisco',9832.7200) GO INSERT [dbo].[Orders] VALUES (271510, CAST(N'1902-09-03'AS Da...
-- 创建分区函数CREATEPARTITIONFUNCTIONpf_PartitionByDate(DATETIME)ASRANGERIGHTFORVALUES('2023-01-01','2023-07-01','2023-10-01');-- 创建分区方案CREATEPARTITIONSCHEMAps_PartitionByDateASPARTITIONpf_PartitionByDateALLTO([PRIMARY]);-- 创建分区表CREATETABLEdbo.MarketingData(IDINTPRIMARYKEY,CampaignName ...
CREATE TABLE my_partitioned_table ( id INT, created_date DATE, -- 其他列... ) PARTITION BY RANGE (MONTH(created_date)) ( PARTITION p1 VALUES LESS THAN (2), PARTITION p2 VALUES LESS THAN (3), PARTITION p3 VALUES LESS THAN (4), PARTITION p4 VALUES LESS THAN (5), PARTITION p5 VALU...
ROW_NUMBER :-- 正常排序[1,2,3,4] -- 必须有order_by RANK :-- 跳跃排序[1,2,2,4] -- 必须有order_by DENSE_RANK :-- 密集排序[1,2,2,3] -- 必须有order_by FIRST :从DENSE_RANK返回的集合中取出排在最前面的一个值的行 LAST :从DENSE_RANK返回的集合中取出排在最后面的一个值的行 FI...
关键字partition by range 代码语言:javascript 代码运行次数:0 运行 AI代码解释 create table range_part_tab (seq number,deal_date date,unit_code number,remark varchar2(100)) partition by range (deal_date) ( partition p1 values less than (TO_DATE('2018-11-01','YYYY-MM-DD')), partition p2...
select * ,sum(active_cnt)over(partition by product_id order by stat_date) as acc_active_cnt --有排序,得出的是累计求和,无排序,得出的是组内总和 ,sum(active_cnt)over(partition by product_id) as sum_active_cnt from ( select concat(substr(dt,1,4),'-',substr(dt,5,2),'-',substr(dt...
在PL/SQL 中实现分区表和分区索引,可以通过以下步骤:创建分区表:在创建表的时候,使用 PARTITION BY 子句指定分区方式,可以按照范围、列表或哈希等方式进行分区。CREATE TABLE sales ( sale_id NUMBER, sale_date DATE, amount NUMBER ) PARTITION BY RANGE (sale_date) ( PARTITION sales_q1 VALUES LESS THAN (...
create table pt_pruning ( id int, r1 int, r2 int, log_date date) partition by range(to_days(log_date)) ( PARTITION p_01 VALUES LESS THAN (to_days('2020-02-01')) ENGINE = InnoDB, PARTITION p_02 VALUES LESS THAN (to_days('2020-03-0...
CREATE TABLE postgres=# insert into t_native_range values(1,'2016-09-01',1); INSERT01 list 分区表 表格通过明确的键值进行分区。 创建主分区 postgres=# create table t_native_list(f1 bigserial not null,f2 text, f3 integer,f4 date) partition by list( f2 ) distribute by shard(f1); ...