Transform Dates into Date Range in MYSQL---如何处理日期间隔
Transform Dates into Date Range in MYSQL---how to handle gaps in the dates
我正在寻求将以下数据转换为所需输出的帮助。我们有 Item,LOC DAY 级别的数据,需要将其转换为 Item,Loc Date Range 以减少 table 中的记录数并满足其他要求。
Item LOC RP_DATE RP_IND
1003785256 543 2016-11-05 Y
1003785256 543 2016-11-06 Y
1003785256 543 2016-11-07 Y
1003785256 543 2016-11-09 Y
1003785256 543 2016-11-10 Y
1003790365 150 2016-11-05 Y
1003797790 224 2016-11-05 Y
1003797790 224 2016-11-06 Y
1003797790 224 2016-11-07 Y
1003797790 224 2016-11-08 Y
所需输出:
Item LOC RP_ST_DATE RP_END_DATE
1003785256 543 2016-11-05 2016-11-07
1003785256 543 2016-11-09 2016-11-10
1003790365 150 2016-11-05 2016-11-05
1003797790 224 2016-11-05 2016-11-08
此方法适用于 MySQL。它在有序子查询中使用组合变量来为每个 "range" 建立一个共同的开始日期。 CROSS JOIN 仅用于初始化变量,它不会改变行数。一旦建立了共同的开始日期,它就变成了外部查询中的一个简单的分组查询。
SELECT Item, LOC, RP_IND, dr_begin, MAX(RP_DATE) dr_end
FROM (
SELECT
mytable.*
, @fin := CONVERT(IF(@item<=>item AND @loc<=>loc AND DATEDIFF(rp_date, @d)=1, @fin, rp_date), DATE) AS dr_begin
, @item := item
, @loc := loc
, @d := rp_date
FROM mytable CROSS JOIN (SELECT @item:=NULL, @loc:=NULL, @d:=NULL, @fin := NULL) AS init
ORDER BY item, loc, rp_date
) d
GROUP BY Item, LOC, RP_IND, dr_begin
;
+----+------------+-----+--------+------------+---------------------+
| | Item | LOC | RP_IND | dr_begin | dr_end |
+----+------------+-----+--------+------------+---------------------+
| 1 | 1003785256 | 543 | Y | 2016-11-05 | 07.11.2016 00:00:00 |
| 2 | 1003785256 | 543 | Y | 2016-11-09 | 10.11.2016 00:00:00 |
| 3 | 1003790365 | 150 | Y | 2016-11-05 | 05.11.2016 00:00:00 |
| 4 | 1003797790 | 224 | Y | 2016-11-05 | 08.11.2016 00:00:00 |
+----+------------+-----+--------+------------+---------------------+
备注<=>returns 1 if both operands are NULL
查看查询工作于:http://rextester.com/SEYG96251
#drop table mytable;
CREATE TABLE mytable(
Item INTEGER NOT NULL
,LOC INTEGER NOT NULL
,RP_DATE DATE NOT NULL
,RP_IND VARCHAR(1) NOT NULL
);
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003785256,543,'2016-11-05','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003785256,543,'2016-11-06','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003785256,543,'2016-11-07','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003785256,543,'2016-11-09','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003785256,543,'2016-11-10','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003790365,150,'2016-11-05','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003797790,224,'2016-11-05','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003797790,224,'2016-11-06','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003797790,224,'2016-11-07','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003797790,224,'2016-11-08','Y');
我正在寻求将以下数据转换为所需输出的帮助。我们有 Item,LOC DAY 级别的数据,需要将其转换为 Item,Loc Date Range 以减少 table 中的记录数并满足其他要求。
Item LOC RP_DATE RP_IND
1003785256 543 2016-11-05 Y
1003785256 543 2016-11-06 Y
1003785256 543 2016-11-07 Y
1003785256 543 2016-11-09 Y
1003785256 543 2016-11-10 Y
1003790365 150 2016-11-05 Y
1003797790 224 2016-11-05 Y
1003797790 224 2016-11-06 Y
1003797790 224 2016-11-07 Y
1003797790 224 2016-11-08 Y
所需输出:
Item LOC RP_ST_DATE RP_END_DATE
1003785256 543 2016-11-05 2016-11-07
1003785256 543 2016-11-09 2016-11-10
1003790365 150 2016-11-05 2016-11-05
1003797790 224 2016-11-05 2016-11-08
此方法适用于 MySQL。它在有序子查询中使用组合变量来为每个 "range" 建立一个共同的开始日期。 CROSS JOIN 仅用于初始化变量,它不会改变行数。一旦建立了共同的开始日期,它就变成了外部查询中的一个简单的分组查询。
SELECT Item, LOC, RP_IND, dr_begin, MAX(RP_DATE) dr_end
FROM (
SELECT
mytable.*
, @fin := CONVERT(IF(@item<=>item AND @loc<=>loc AND DATEDIFF(rp_date, @d)=1, @fin, rp_date), DATE) AS dr_begin
, @item := item
, @loc := loc
, @d := rp_date
FROM mytable CROSS JOIN (SELECT @item:=NULL, @loc:=NULL, @d:=NULL, @fin := NULL) AS init
ORDER BY item, loc, rp_date
) d
GROUP BY Item, LOC, RP_IND, dr_begin
;
+----+------------+-----+--------+------------+---------------------+
| | Item | LOC | RP_IND | dr_begin | dr_end |
+----+------------+-----+--------+------------+---------------------+
| 1 | 1003785256 | 543 | Y | 2016-11-05 | 07.11.2016 00:00:00 |
| 2 | 1003785256 | 543 | Y | 2016-11-09 | 10.11.2016 00:00:00 |
| 3 | 1003790365 | 150 | Y | 2016-11-05 | 05.11.2016 00:00:00 |
| 4 | 1003797790 | 224 | Y | 2016-11-05 | 08.11.2016 00:00:00 |
+----+------------+-----+--------+------------+---------------------+
备注<=>returns 1 if both operands are NULL
查看查询工作于:http://rextester.com/SEYG96251
#drop table mytable;
CREATE TABLE mytable(
Item INTEGER NOT NULL
,LOC INTEGER NOT NULL
,RP_DATE DATE NOT NULL
,RP_IND VARCHAR(1) NOT NULL
);
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003785256,543,'2016-11-05','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003785256,543,'2016-11-06','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003785256,543,'2016-11-07','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003785256,543,'2016-11-09','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003785256,543,'2016-11-10','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003790365,150,'2016-11-05','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003797790,224,'2016-11-05','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003797790,224,'2016-11-06','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003797790,224,'2016-11-07','Y');
INSERT INTO mytable(Item,LOC,RP_DATE,RP_IND) VALUES (1003797790,224,'2016-11-08','Y');