Replicating rows in a table by the columns - sql

Question

I need to develop a report I create it in excel but it became so heavy that even my PC cannot open it.
Right now I decide to create it with SQL.
The excel input is something like this:
Service_order PENDING_DAYS SERVICE_TYPE ASC code INOUTWTY Part_code1 Part_code2 Part_code3 Part_code4 Part_code5
4182864919 18 CI 3440690 LP GH82-11218A GH96-09406A GH81-13594A GH02-11552A GH02-11553A
4182868153 18 CI 4285812 LP GH97-17670B
4182929636 17 CI 4276987 LP GH97-17260C GH02-10203A
4182953067 16 CI 3440690 LP GH97-17940C
4182954688 16 CI 6195657 LP GH82-10555A GH97-17852A GH81-13071A
4182955036 16 PS 6195657 LP GH97-17940C
and the result using this codes
=HLOOKUP(Sheet3!A$1;Sheet3!$A$1:$F$10000;CEILING((ROW()-ROW(Sheet3!$A$1))/5+1;1);FALSE)"
=OFFSET(WholePart;TRUNC((ROW()-ROW($G$2))/COLUMNS(WholePart));MOD(ROW()-ROW($G$2);COLUMNS(WholePart));1;1)
* WholePart is partCode values.
are like this:
What I want to do is to convert those formula or have an output just like this.
Appreciate it.

Answer 1

My advice is prepare your data in EXCEL and load into normalized tables. Then you can get the result by joining the tables.
create table T1(
Service_order bigint primary key,
PENDING_DAYS int,
SERVICE_TYPE varchar(10),
ASC_code int,
INOUTWTY varchar(10)
);
create table T2(
Service_order bigint,
Part_code varchar(50)
);
insert into T1(Service_order, PENDING_DAYS, SERVICE_TYPE, ASC_code, INOUTWTY)
values
(4182864919 , 18,'CI',3440690,'LP'),
(4182868153 , 18,'CI',4285812,'LP'),
(4182929636 , 17,'CI',4276987,'LP'),
(4182953067 , 16,'CI',3440690,'LP'),
(4182954688 , 16,'CI',6195657,'LP'),
(4182955036 , 16,'PS',6195657,'LP');
insert into T2(Service_order, Part_code)
values
(4182864919,'GH82-11218A'),
(4182864919,'GH96-09406A'),
(4182864919,'GH81-13594A'),
(4182864919,'GH02-11552A'),
(4182864919,'GH02-11553A'),
(4182868153,'GH97-17670B'),
(4182929636,'GH97-17260C'),
(4182929636,'GH02-10203A'),
(4182953067,'GH97-17940C'),
(4182954688,'GH82-10555A'),
(4182954688,'GH97-17852A'),
(4182954688,'GH81-13071A'),
(4182955036,'GH97-17940C')
select T1.*, T2.Part_code
from T1
join T2 on T1.Service_order = T2.Service_order
order by T1.Service_order, T2.Part_code;
EDIT
Alternatively you can load original EXCEL data (first table) and them normalize it in SQL.
-- create normalized tables
create table T1(
Service_order bigint primary key,
PENDING_DAYS int,
SERVICE_TYPE varchar(10),
ASC_code int,
INOUTWTY varchar(10)
);
create table T2(
Service_order bigint,
Part_code varchar(50)
);
-- load data from excel.
create table excelData(
Service_order bigint,
PENDING_DAYS int,
SERVICE_TYPE varchar(10),
ASC_code int,
INOUTWTY varchar(10),
Part_code1 varchar(50),
Part_code2 varchar(50),
Part_code3 varchar(50),
Part_code4 varchar(50),
Part_code5 varchar(50)
);
-- Below i use sample data insert instead of load.
insert into excelData(Service_order, PENDING_DAYS, SERVICE_TYPE, ASC_code, INOUTWTY
,Part_code1, Part_code2, Part_code3, Part_code4, Part_code5)
values
(4182864919 , 18,'CI',3440690,'LP','GH82-11218A','GH96-09406A','GH81-13594A','GH02-11552A','GH02-11553A'),
(4182868153 , 18,'CI',4285812,'LP','GH97-17670B','','','',''),
(4182929636 , 17,'CI',4276987,'LP','GH97-17260C','GH02-10203A','','',''),
(4182953067 , 16,'CI',3440690,'LP','GH97-17940C','','','',''),
(4182954688 , 16,'CI',6195657,'LP','GH82-10555A','GH97-17852A','GH81-13071A','',''),
(4182955036 , 16,'PS',6195657,'LP','GH97-17940C','','','','');
-- store loaded data into normalized tables.
insert into T1(Service_order, PENDING_DAYS, SERVICE_TYPE, ASC_code, INOUTWTY)
select Service_order, PENDING_DAYS, SERVICE_TYPE, ASC_code, INOUTWTY
from excelData;
insert into T2(Service_order, Part_code)
select Service_order, Part_code
from excelData
cross apply (
--unpivot
select Part_code1 as Part_code where len(Part_code1) > 0
union all
select Part_code2 where len(Part_code2) > 0
union all
select Part_code3 where len(Part_code3) > 0
union all
select Part_code4 where len(Part_code4) > 0
union all
select Part_code5 where len(Part_code5) > 0
) unp;
-- check it
select * from T1;
select * from T2;