Industry Table
+----+--------------+
| ID | IndustryName |
+----+--------------+
| 1 | Auto |
| 2 | Pets |
+----+--------------+
Images Table
+----+------------+--------------+
| ID | IndustryId | ImageURL |
+----+------------+--------------+
| 1 | 1 | URL1 |
| 2 | 1 | URL2 |
| 3 | 1 | URL3 |
+----+------------+--------------+
I wanna get result of Select Query as follows
+----+------------+------------------+
| ID | IndustryId |ImageURLContains |
+----+------------+------------------+
| 1 | Auto |(URL1,URL2,URL3) |
+----+------------+------------------+
And we can have n number of URLS against one IndustryId.
Try It With Stuff Function
CREATE TABLE Images_Table(ID INT ,IndustryId INT , IMageURL NVARCHAR(50))
INSERT INTO Images_Table
SELECT 1,1,'URL1'UNION ALL
SELECT 2,1,'URL2'UNION ALL
SELECT 3,1,'URL3'
SELECT
ID IndstryId,IndustryName,
STUFF(
(
SELECT ' ,'+ISNULL(IMageURL,'')
FROM Images_Table t2
WHERE t2.IndustryId=t1.ID
ORDER BY t2.Id
FOR XML PATH('')
),1,2,'') ImageURL
FROM (SELECT ID,ISNULL(IndustryName,'') IndustryName FROM Industry_Table) t1
Following Output I'm Getting it
IndstryId IndustryName ImageURL
----------- -------------------------------------------------- ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
1 Auto URL1 ,URL2 ,URL3
Related
I have a column item_id that contains data in JSON (like?) structure.
+----------+---------------------------------------------------------------------------------------------------------------------------------------+
| id | item_id |
+----------+---------------------------------------------------------------------------------------------------------------------------------------+
| 56711 | {itemID":["0530#2#1974","0538\/2#2#1974","0538\/3#2#1974","0538\/18#2#1974","0539#2#1974"]}" |
| 56712 | {itemID":["0138528#2#4221","0138529#2#4221","0138530#2#4221","0138539#2#4221","0118623\/2#2#4220"]}" |
| 56721 | {itemID":["2704\/1#1#1356"]}" |
| 56722 | {itemID":["0825\/2#2#3349","0840#2#3349","0844\/10#2#3349","0844\/11#2#3349","0844\/13#2#3349","0844\/14#2#3349","0844\/15#2#3349"]}" |
| 57638 | {itemID":["0161\/1#2#3364","0162\/1#2#3364","0163\/2#2#3364"]}" |
| 57638 | {itemID":["109#1#3364","110\/1#1#3364"]}" |
+----------+---------------------------------------------------------------------------------------------------------------------------------------+
I need the last four digits before every comma (if there is) and the last 4 digits distincted and separated into individual colums.
The distinct should happen across id as well, so only one result row with id: 57638 is permitted.
Here is a fiddle with a code draft that is not giving the right answer.
The desired result should look like this:
+----------+-----------+-----------+
| id | item_id_1 | item_id_2 |
+----------+-----------+-----------+
| 56711 | 1974 | |
| 56712 | 4220 | 4221 |
| 56721 | 1356 | |
| 56722 | 3349 | |
| 57638 | 3364 | 3365 |
+----------+-----------+-----------+
There can be quite a lot 'item_id_%' column in the results.
with the_table (id, item_id) as (
values
(56711, '{"itemID":["0530#2#1974","0538\/2#2#1974","0538\/3#2#1974","0538\/18#2#1974","0539#2#1974"]}'),
(56712, '{"itemID":["0138528#2#4221","0138529#2#4221","0138530#2#4221","0138539#2#4221","0118623\/2#2#4220"]}'),
(56721, '{"itemID":["2704\/1#1#1356"]}'),
(56722, '{"itemID":["0825\/2#2#3349","0840#2#3349","0844\/10#2#3349","0844\/11#2#3349","0844\/13#2#3349","0844\/14#2#3349","0844\/15#2#3349"]}'),
(57638, '{"itemID":["0161\/1#2#3364","0162\/1#2#3364","0163\/2#2#3364"]}'),
(57638, '{"itemID":["109#1#3365","110\/1#1#3365"]}')
)
select id
,(array_agg(itemid)) [1] itemid_1
,(array_agg(itemid)) [2] itemid_2
from (
select distinct id
,split_part(replace(json_array_elements(item_id::json -> 'itemID')::text, '"', ''), '#', 3)::int itemid
from the_table
order by 1
,2
) t
group by id
DEMO
You can unnest the json array, get the last 4 characters of each element as a number, then do conditional aggregation:
select
id,
max(val) filter(where rn = 1) item_id_1,
max(val) filter(where rn = 2) item_id_2
from (
select
id,
right(val, 4)::int val,
dense_rank() over(partition by id order by right(val, 4)::int) rn
from mytable t
cross join lateral jsonb_array_elements_text(t.item_id -> 'itemID') as x(val)
) t
group by id
You can add more conditional max()s to the outer query to handle more possible values.
Demo on DB Fiddle:
id | item_id_1 | item_id_1
----: | --------: | --------:
56711 | 1974 | null
56712 | 4220 | 4221
56721 | 1356 | null
56722 | 3349 | null
57638 | 3364 | 3365
I'm having a table called table such that:
| id | name | city |
|----|-------|---------|
| 0 | Rose | Madrid |
| 1 | Alex | Lima |
| 2 | Rose | Sidney |
| 3 | Mario | Glasgow |
And I need to UPDATE the table so that two rows sharing the same name combined into a new one and deleted.
| id | name | city |
|----|-------|----------------|
| 1 | Alex | Lima |
| 3 | Mario | Glasgow |
| 4 | Rose | Madrid, Sidney |
I don't care if it has to be done in several SQL statements.
So far all I've done is to list the rows that are affected by this.
SELECT *
FROM table
WHERE name IN (
SELECT name
FROM table
GROUP BY name
HAVING COUNT(*) > 1
);
Assuming that id is auto increment primary key, you need an INSERT and a DELETE statement:
insert into tablename(name, city)
select name, group_concat(city, ',')
from tablename
group by name
having count(*) > 1;
delete from tablename
where instr(name, ',') = 0
and exists (
select 1 from tablename t
where t.id <> tablename.id and t.name = tablename.name
and ',' || t.city || ',' like '%,' || tablename.city || ',%'
);
See the demo.
Results:
| id | name | city |
| --- | ----- | ------------- |
| 1 | Alex | Lima |
| 3 | Mario | Glasgow |
| 4 | Rose | Madrid,Sidney |
I'm having a serious problem with one of my import tables. I've imported an Excel file to a SQL Server table. The table ImportExcelFile now looks like this (simplified):
+----------+-------------------+-----------+------------+--------+--------+-----+---------+
| ImportId | Excelfile | SheetName | Field1 | Field2 | Field3 | ... | Field10 |
+----------+-------------------+-----------+------------+--------+--------+-----+---------+
| 1 | C:\Temp\Test.xlsx | Sheet1 | Age / Year | 2010 | 2011 | | 2018 |
| 2 | C:\Temp\Test.xlsx | Sheet1 | 0 | Value1 | Value2 | | Value9 |
| 3 | C:\Temp\Test.xlsx | Sheet1 | 1 | Value1 | Value2 | | Value9 |
| 4 | C:\Temp\Test.xlsx | Sheet1 | 2 | Value1 | Value2 | | Value9 |
| 5 | C:\Temp\Test.xlsx | Sheet1 | 3 | Value1 | Value2 | | Value9 |
| 6 | C:\Temp\Test.xlsx | Sheet1 | 4 | Value1 | Value2 | | Value9 |
| 7 | C:\Temp\Test.xlsx | Sheet1 | 5 | NULL | NULL | | NULL |
+----------+-------------------+-----------+------------+--------+--------+-----+---------+
I now want to insert those values from Field1 to Field10 to the table AgeYear(in my original table there are about 70 columns and 120 rows). The first row (Age / Year, 2010, 2011, ...) is the header row. The column Field1 is the leading column. I want to save the values in the following format:
+-----------+-----+------+--------+
| SheetName | Age | Year | Value |
+-----------+-----+------+--------+
| Sheet1 | 0 | 2010 | Value1 |
| Sheet1 | 0 | 2011 | Value2 |
| ... | ... | ... | ... |
| Sheet1 | 0 | 2018 | Value9 |
| Sheet1 | 1 | 2010 | Value1 |
| Sheet1 | 1 | 2011 | Value2 |
| ... | ... | ... | ... |
| Sheet1 | 1 | 2018 | Value9 |
| ... | ... | ... | ... |
+-----------+-----+------+--------+
I've tried the following query:
DECLARE #sql NVARCHAR(MAX) =
';WITH cte AS
(
SELECT i.SheetName,
ROW_NUMBER() OVER(PARTITION BY i.SheetName ORDER BY i.SheetName) AS rn,
' + #columns + ' -- #columns = 'Field1, Field2, Field3, Field4, ...'
FROM dbo.ImportExcelFile i
WHERE i.Sheetname LIKE ''Sheet1''
)
SELECT SheetName,
age Age,
y.[Year]
FROM cte
CROSS APPLY
(
SELECT Field1 age
FROM dbo.ImportExcelFile
WHERE SheetName LIKE ''Sheet1''
AND ISNUMERIC(Field1) = 1
) a (age)
UNPIVOT
(
[Year] FOR [Years] IN (' + #columns + ')
) y
WHERE rn = 1'
EXEC (#sql)
So far I'm getting the desired ages and years. My problem is that I don't know how I could get the values. With UNPIVOT I don't get the NULL values. Instead it fills the whole table with the same values even if they are NULL in the source table.
Could you please help me?
Perhaps an alternative approach. This is not dynamic, but with the help of a CROSS APPLY and a JOIN...
The drawback is that you'll have to define the 70 fields.
Example
;with cte0 as (
Select A.ImportId
,A.SheetName
,Age = A.Field1
,B.*
From ImportExcelFile A
Cross Apply ( values ('Field2',Field2)
,('Field3',Field3)
,('Field10',Field10)
) B (Item,Value)
)
,cte1 as ( Select * from cte0 where ImportId=1 )
Select A.SheetName
,[Age] = try_convert(int,A.Age)
,[Year] = try_convert(int,B.Value)
,[Value] = A.Value
From cte0 A
Join cte1 B on A.Item=B.Item
Where A.ImportId>1
Returns
I have table with 5 columns like this
+----+-------------------------+-----------+--------+-----------+
| Id | CreateDate | CompanyId | UserId | IsEnabled |
+----+-------------------------+-----------+--------+-----------+
| 1 | 2016-01-02 23:40:46.517 | 1 | 1 | 1 |
| 2 | 2016-01-16 00:07:59.857 | 1 | 2 | 1 |
| 3 | 2016-01-25 15:17:54.420 | 3 | 3 | 1 |
| 25 | 2016-03-07 16:48:39.260 | 24 | 10 | 0 |
| 26 | 2016-03-07 16:48:39.263 | 25 | 2 | 0 |
+----+-------------------------+-----------+--------+-----------+
(thanks http://www.sensefulsolutions.com/2010/10/format-text-as-table.html for ASCII table!)
I'm trying to check if a UserId is recorded for more than one CompanyId's.
So far I managed to check if a UserId happens to appear more than one by using this query
WITH T AS
(
SELECT * ,
Count(*) OVER (PARTITION BY UserId) as Cnt
From CompanyUser
)
select Distinct UserId
FROM T
Where Cnt >1
It returns 2 correctly.
Where I'm stuck is, how can I parameterize the UserId and check if an Id is recorded for more than one company.
Declare #UserID as bigint
Set #UserID = 2
select Distinct Count(CompanyID)
FROM ComapynUser
Where UserId = #UserId
I think this gives you what you need.
I want to transpose my table.
I have simple 'Person' table as shown below.
+---+----------+------------+------------+----------------------+
|ID | Person | BirthDate | Phone | Email |
+---+----------+------------+------------+----------------------+
| 1 | Tom | 1985-11-08 | 1111111111 | tom#somedomain.com |
+---+----------+------------+------------+----------------------+
| 2 | Dick | 1982-02-24 | 2222222222 | dick#otherdomain.com |
+---+----------+------------+------------+----------------------+
| 3 | Harry | 1986-04-17 | 3333333333 | harry#thatdomain.com |
+---+----------+------------+------------+----------------------+
And I want this table to be transposed like below.
+-----------+--------------------+----------------------+----------------------+
| Key | Value1 | Value2 | Value3 |
+-----------+--------------------+----------------------+----------------------+
| ID | 1 | 2 | 3 |
+-----------+--------------------+----------------------+----------------------+
| Person | Tom | Dick | Harry |
+-----------+--------------------+----------------------+----------------------+
| BirthDate | 1985-11-08 | 1982-02-24 | 1986-04-17 |
+-----------+--------------------+----------------------+----------------------+
| Phone | 1111111111 | 2222222222 | 3333333333 |
+-----------+--------------------+----------------------+----------------------+
| Email | tom#somedomain.com | dick#otherdomain.com | harry#thatdomain.com |
+-----------+--------------------+----------------------+----------------------+
I am using MS SQL server 2008 R2.
Try this.. First u need to unpivot the columns using Cross apply to get the data in single row. Then pivot that row to get the result.
CREATE TABLE #tt
(ID INT,Person VARCHAR(50),BirthDate DATE,
Phone BIGINT,Email VARCHAR(50)
)
INSERT INTO #tt
VALUES (1,'Tom','1985-11-08',1111111111,'tom#somedomain.com' ),
( 2,'Dick','1982-02-24',2222222222,'dick#otherdomain.com'),
( 3,'Harry ','1986-04-17',3333333333,'harry#thatdomain.com' )
SELECT [key],
Max([value1]) [value1],
Max([value2]) [value2],
Max([value3]) [value3]
FROM (SELECT 'value' + CONVERT(VARCHAR(30), id) valued,
*
FROM #tt
CROSS apply (VALUES ('ID',
CONVERT(VARCHAR(50), ID)),
('Person',Person),
('BirthDate',CONVERT(VARCHAR(50), BirthDate)),
('Phone',CONVERT(VARCHAR(50), Phone)),
('Email',Email)) cp ([key], data))a
PIVOT (Max(data)
FOR valued IN([value1],[value2],[value3])) piv
GROUP BY [key]
DYNAMIC VERSION
Declare #cols varchar(max)='',#aggcols varchar(max)='',#sql nvarchar(max)
SELECT #cols+= ',value' + CONVERT(VARCHAR(30), id)
FROM #tt
SELECT #aggcols+= ',max([value' + CONVERT(VARCHAR(30), id) +']) value' + CONVERT(VARCHAR(30), id)
FROM #tt
select #cols= right(#cols,LEN(#cols)-1)
select #aggcols =right(#aggcols,LEN(#aggcols)-1)
set #sql = 'SELECT [key],
'+#aggcols+'
FROM (SELECT ''value'' + CONVERT(VARCHAR(30), id) valued,
*
FROM #tt
CROSS apply (VALUES (''ID'',CONVERT(VARCHAR(50), ID)),
(''Person'',Person),
(''BirthDate'',CONVERT(VARCHAR(50), BirthDate)),
(''Phone'',CONVERT(VARCHAR(50), Phone)),
(''Email'',Email)) cp ([key], data))a
PIVOT (Max(data)
FOR valued IN('+#cols+')) piv
GROUP BY [key] '
execute sp_executesql #sql
OUTPUT
+----------+--------------------+---------------------+----------------------+
|key | value1 | value2 | value3 |
+----------+--------------------+---------------------+----------------------+
|BirthDate | 1985-11-08 | 1982-02-24 | 1986-04-17 |
+----------+--------------------+---------------------+----------------------+
|Email | tom#somedomain.com |dick#otherdomain.com | harry#thatdomain.com |
+----------+--------------------+---------------------+----------------------+
|ID | 1 | 2 | 3 |
+----------+--------------------+---------------------+----------------------+
|Person | Tom | Dick | Harry |
+----------+--------------------+---------------------+----------------------+
|Phone | 1111111111 | 2222222222 | 3333333333 |
+----------+--------------------+---------------------+----------------------+