我有两个包含date_updated
列的表。
TableA
如下所示
con_id date_updated type
--------------------------------------------
123 19/06/2018 2
123 15/06/2018 1
123 01/05/2018 3
101 06/04/2018 1
101 05/03/2018 2
我的TableB
也具有相同的结构
con_id date_updated type
--------------------------------------------
123 15/05/2018 2
123 01/05/2018 1
101 07/06/2018 1
结果表应包含具有最近日期的数据
con_id date_updated type
--------------------------------------------
123 19/06/2018 2
101 07/06/2018 1
此处date_updated
列是sql server的datetime
数据类型。我使用group by
并选择最大date_updated
来尝试此操作。但我无法在select
语句中包含列类型。当我在group by
中使用类型时,结果不正确,因为类型也被分组。我怎么能查询这个。请帮忙
答案 0 :(得分:2)
SELECT *
FROM
(SELECT *, ROW_NUMBER() OVER(Partition By con_id ORDER BY date_updated DESC) as seq
FROM
(SELECT * FROM TableA
UNION ALL
SELECT * FROM TableB) as tblMain) as tbl2
WHERE seq = 1
答案 1 :(得分:1)
一种方法:
formlyConfig.setType({
name: 'select2',
template: '<select class="form-control" ng-model="model[options.key]"></select><div class="div-after-select"></div>',
wrapper: ['bootstrapLabel', 'bootstrapHasError'],
defaultOptions: function defaultOptions(options) {
/* jshint maxlen:195 */
var ngOptions = options.templateOptions.ngOptions || 'option[to.valueProp || \'value\'] as option[to.labelProp || \'name\'] group by option[to.groupProp || \'group\'] for option in to.options';
return {
ngModelAttrs: _defineProperty({}, ngOptions, {
value: options.templateOptions.optionsAttr || 'ng-options'
})
};
},
apiCheck: function apiCheck(check) {
return {
templateOptions: {
options: check.arrayOf(check.object),
optionsAttr: check.string.optional,
labelProp: check.string.optional,
valueProp: check.string.optional,
groupProp: check.string.optional
}
};
}
});
顶部的2个CTE从表中获取最新的行,然后结束语句将它们组合在一起。
为了说这不起作用的人的利益:
WITH A AS(
SELECT TOP 1 con_id,
date_updated,
type
FROM TableA
ORDER BY date_updated DESC),
B AS(
SELECT TOP 1 con_id,
date_updated,
type
FROM TableB
ORDER BY date_updated DESC),
U AS(
SELECT *
FROM A
UNION ALL
SELECT *
FROM B)
SELECT *
FROM U;
这将返回数据集:
USE Sandbox;
GO
CREATE TABLE tablea (con_id int, date_updated date, [type] tinyint);
CREATE TABLE tableb (con_id int, date_updated date, [type] tinyint);
GO
INSERT INTO tablea
VALUES
(123,'19/06/2018',2),
(123,'15/06/2018',1),
(123,'01/05/2018',3),
(101,'06/04/2018',1),
(101,'05/03/2018',2);
INSERT INTO tableb
VALUES
(123,'15/05/2018',2),
(123,'01/05/2018',1),
(101,'07/06/2018',1);
GO
WITH A AS(
SELECT TOP 1 con_id,
date_updated,
[type]
FROM TableA
ORDER BY date_updated DESC),
B AS(
SELECT TOP 1 con_id,
date_updated,
[type]
FROM TableB
ORDER BY date_updated DESC),
U AS(
SELECT *
FROM A
UNION ALL
SELECT *
FROM B)
SELECT *
FROM U;
GO
DROP TABLE tablea;
DROP TABLE tableb;
与OP的数据相同:
con_id date_updated type
----------- ------------ ----
123 2018-06-19 2
101 2018-06-07 1
答案 2 :(得分:0)
希望这会有所帮助:
WITH combined
AS(
select * FROM tableA
UNION
select * FROM tableB)
SELECT t1.con_id,
t1.date_updated,
t1.type
FROM (
SELECT con_id,
date_updated,
type,
row_number() OVER(partition BY con_id ORDER BY date_updated DESC) AS rownumber
FROM combined) t1
WHERE rownumber = 1;
答案 3 :(得分:0)
可以使用窗口函数完成:
declare @TableA table (con_id int, date_updated date, [type] int)
declare @TableB table (con_id int, date_updated date, [type] int)
insert into @TableA values
(123, '2018-06-19', 2)
, (123, '2018-06-15', 1)
, (123, '2018-05-01', 3)
, (101, '2018-04-06', 1)
, (101, '2018-03-05', 2)
insert into @TableB values
(123, '2018-05-15', 2)
, (123, '2018-05-01', 1)
, (101, '2018-06-07', 1)
select distinct con_id
, first_value(date_updated) over (partition by con_id order by con_id, date_updated desc) as con_id
, first_value([type]) over (partition by con_id order by con_id, date_updated desc) as [type]
from
(Select * from @TableA UNION Select * from @TableB) x