I have a table with a field "E-mailTo".
This field contains a string of e-mail addresses.
Example
user1#domain.com; user2#domain.com; user3#domain.com; user4#domain.com; user5#domain.com;
user6#domain.com; user3#domain.com;
user7#domain.com; user4#domain.com;
I have a 2nd table with a list of e-mail addresses that need to be removed from all E-mailTo strings.
Example
user3#domain.com
user4#domain.com
Please can anyone help me achieve this?
Thank you
you could try using a replace with join
select replace(a.my_string, my_table2.col_mail_to_exclude,'')
from my_table1
inner join my_table2 on my_table1.my_string like concat('%', my_table2.col_mail_to_exclude, '%')
As others have suggested, it is better to go for normalized design, instead of storing emails as multivalued data.
But, for your needs, You can use recursive CTE to achieve this.
DECLARE #table1 table(id int, Emailto VARCHAR(8000))
INSERT INTO #table1 values
(1, 'user1#domain.com; user2#domain.com; user3#domain.com; user4#domain.com; user5#domain.com')
,(2, 'user6#domain.com; user3#domain.com;')
,(3,'user7#domain.com; user4#domain.com;')
DECLARE #table2 table(EmailToremove VARCHAR(8000))
INSERT INTO #table2 values
('user3#domain.com'),('user4#domain.com');
;WITH cte_table2rank AS
(
select ROW_NUMBER() OVER(ORDER BY EmailToRemove) as rnk, EmailToRemove
FROM #table2
), CTE_Cleanser AS
(
select id, EmailTo, 1 as rnk from #table1
UNION ALL
select c2.id, REPLACE(c2.EmailTo,c1.emailtoRemove,'') as Emailto, c2.rnk+1 as rnk
FROM cte_table2rank as C1
inner join CTE_Cleanser as c2
on c2.rnk = c1.rnk
)
SELECT id,Emailto FROM cte_cleanser as oc
where rnk = (SELECT max(rnk) FROM CTE_Cleanser where id = oc.id)
order by id
id
Emailto
1
user1#domain.com; user2#domain.com; ; ; user5#domain.com
2
user6#domain.com; ;
3
user7#domain.com; ;
Related
UPDATE: I am fully aware that this is a poor RDBMS practice, but the question is not asking whether it is and how I can re-train the DBAs who created this architecture. The question is how I can work around the situation that I have on hands. I appreciate the help of the community and must admit that this is an interesting problem indeed.
In SQL Server 2017, I have a lookup table containing codes and a transactions table with CSV-formated codes:
CREATE TABLE #t(cd VARCHAR(100))
CREATE TABLE #cd (id INT, cd VARCHAR (1000))
INSERT INTO #t SELECT 'c1'
INSERT INTO #t SELECT 'c1,c2'
INSERT INTO #t SELECT 'c1,c2,c3'
INSERT INTO #cd SELECT 10, 'c1'
INSERT INTO #cd SELECT 20, 'c2'
INSERT INTO #cd SELECT 30, 'c3'
So, the lookup is
id cd
10 c1
10 c1
20 c2
30 c3
and, the transactions table has:
cd
c1
c1,c2
c1,c2,c3
I need to replace the codes to their respective IDs, while keeping these in CSV format.
I would like to avoid the cursor because it is too slow. Is there a way to parse the codes, do the JOIN, and recombine the IDs somehow efficiently? I suppose COALESCE may be of use, but need help applying it. Perhaps, there is already a function in t-SQL that does this types of lookups.
The output needs to another column in transactions table:
id
10
10,20
10,20,30
You can first strip out comma into a list and then join and get correct ids for codes and then add them back with commas. I used a row_number upfront to get a unique thing to join back on in my query.
See live demo
CREATE TABLE #t(cd VARCHAR(100))
CREATE TABLE #cd (id INT, cd VARCHAR (1000))
INSERT INTO #t SELECT 'c1'
INSERT INTO #t SELECT 'c1,c2'
INSERT INTO #t SELECT 'c1,c2,c3'
INSERT INTO #cd SELECT 10, 'c1'
INSERT INTO #cd SELECT 20, 'c2'
INSERT INTO #cd SELECT 30, 'c3'
; WITH X AS
(
SELECT
C.id,P1.rn
FROM
(
SELECT *, row_number() over( order by (select 1)) rn,
cast('<X>'+replace(P.cd,',','</X><X>')+'</X>' as XML) AS xmlitems FROM #t P
)P1
CROSS APPLY
(
SELECT fdata.D.value('.','varchar(100)') AS splitdata
FROM P1.xmlitems.nodes('X') AS fdata(D)) O
LEFT JOIN #cd C
ON C.cd= LTRIM(RTRIM(O.splitdata ))
)
SELECT
rn,
id= STUFF((
SELECT ',' + cast(id as varchar(100)) FROM X AS x2
WHERE x2.rn = x.rn
ORDER BY rn FOR XML PATH,
TYPE).value(N'.[1]',N'varchar(max)'), 1, 1, '')
FROM
X
GROUP BY rn
Note: With SQL server 2017 you can also you SPLIT_STRING() function
and STRING_AGG() functions
SQL SERVER 2017 code:
select
id=STRING_AGG(id,',')
from
(
select V=value, rn
from
(
select
rn=row_number() over( order by (select 1)),
cd
from #T
)T
cross apply STRING_SPLIT(cd, ',')
) T
left join #cd C
on cd= v
group by rn
My database has a column named Group.
This Group can be one of two values:
Group101 = Main group
Group101D1 = Subgroup
Every group has two options like this.
But I have some situations where Group101D1 exists but Group101 does not.
Now I want to create an insert where I search for groups with D1 that doesn't have a main group. for example I have Group105D1 but don't have Group105. I want an insert to create a row with Group105.
This is as far as I have come:
INSERT INTO (Group)
SELECT [Table1].[Group], [Table2].[Group]
FROM [Table] Table1
INNER JOIN [Table] Table2 ON [table1].[Group] = [Table2].[Group]
-- WHERE [Table2].[Group] LIKE '%D1'
-- AND [Table1].[Group] NOT LIKE '%D1'
Can some of you please help, I don't know how to finish this.
I know I probably need to use inner join, replace and a where not clause.
You will need replace Also query should exclude rows already exists
Sample data:
DECLARE #groups TABLE ([Group] VARCHAR(100), description VARCHAR(100))
INSERT #groups ([Group], description)
SELECT 'Group101', 'Something1'
UNION ALL
SELECT 'Group101d1', 'Something1'
UNION ALL
SELECT 'Group105d1', 'description_Bleh'
UNION ALL
SELECT 'Group2054', 'desc_2054'
UNION ALL
SELECT 'Group2054d1', 'desc_2054'
Use replace function and exclude Maingroup if it exists
SELECT Replace([group], 'd1', '') [Group], description
FROM #groups
WHERE [Group] NOT IN (
SELECT p.[Group]
FROM #groups g
INNER JOIN #groups p
ON g.[Group] = replace(p.[Group], 'd1', '')
)
Result:
Group description
Group105 description_Bleh
If all subgroups ends with "D1" you can use below query to insert missing main groups.
INSERT INTO (Group)
SELECT
left(subtable.Group,(len(subtable.Group)-len('D1')))
FROM
[Table1].[Group] subtable
where
charindex ( 'D1', subtable.Group) > 0 -- if it is sub-record
and
not exists --check if main group exists
(SELECT
1
FROM
[Table1].[Group] main
where (charindex ( main.Group+'D1', subtable.Group) != 0)
)
Stuff you have already just packaged with data
DECLARE #groups TABLE (grp VARCHAR(100), description VARCHAR(100));
INSERT #groups (grp, description) values
('Group101', 'Something1')
, ('Group101d1', 'Something1')
, ('Group105d1', 'description_Bleh')
, ('Group106d1', 'description_Bleh6')
, ('Group2054', 'desc_2054')
, ('Group2054d1', 'desc_2054');
select * from #groups order by grp;
insert into #groups
select replace(g1.grp, 'd1', ''), g1.description
from #groups g1
where g1.grp like '%d1'
and not exists ( select 1
from #groups g2
where g2.Grp = replace(g1.grp, 'd1', '')
);
select * from #groups order by grp;
You can use NOT EXISTS and REPLACE to get the desired results like below :
INSERT INTO Table2(Group)
select replace([Group], 'd1', '') from Table1 a
where [Group] like '%d1' and
not exists(
select 1 from Table1 where [group] = replace(a.[Group], 'd1', '')
)
I did it this way in the end!
insert into Table (Group, Description)
select replace(Group,'D1','') , description from Table
where Group like '%D1'
and replace(Group,'D1','') not in (
select Group from Table
where Group like 'Group%' and Group not like '%D1')
I am trying to figure out how to go about getting the values of a comma separated string that's present in one of my cells.
This is the query I current am trying to figure out in my stored procedure:
SELECT
uT.id,
uT.permissions
FROM
usersTbl AS uT
INNER JOIN
usersPermissions AS uP
/*Need to loop here I think?*/
WHERE
uT.active = 'true'
AND
uT.email = 'bbarker#thepriceisright.com'
The usersPermissions table looks like this:
And so a row in the usersTbl table looks like this for permissions:
1,3
I need to find a way to loop through that cell and get each number and place the name ****, in my returned results for the usersTbl.permissions.
So instead of returning this:
Name | id | permissions | age |
------------------------------------
Bbarker | 5987 | 1,3 | 87 |
It needs to returns this:
Name | id | permissions | age |
------------------------------------
Bbarker | 5987 | Read,Upload | 87 |
Really just replacing 1,3 with Read,Upload.
Any help would be great from a SQL GURU!
Reworked query
SELECT
*
FROM
usersTbl AS uT
INNER JOIN
usersPermissionsTbl AS uPT
ON
uPT.userId = uT.id
INNER JOIN
usersPermissions AS uP
ON
uPT.permissionId = uP.id
WHERE
uT.active='true'
AND
uT.email='bBarker#thepriceisright.com'
I agree with all of the comments... but strictly trying to do what you want, here's a way with a splitter function
declare #usersTbl table ([Name] varchar(64), id int, [permissions] varchar(64), age int)
insert into #usersTbl
values
('Bbarker',5987,'1,3',87)
declare #usersTblpermissions table (id int, [type] varchar(64))
insert into #usersTblpermissions
values
(1,'Read'),
(2,'Write'),
(3,'Upload'),
(4,'Admin')
;with cte as(
select
u.[Name]
,u.id as UID
,p.id
,p.type
,u.age
from #usersTbl u
cross apply dbo.DelimitedSplit8K([permissions],',') x
inner join #usersTblpermissions p on p.id = x.Item)
select distinct
[Name]
,UID
,age
,STUFF((
SELECT ',' + t2.type
FROM cte t2
WHERE t.UID = t2.UID
FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)'), 1, 1, '')
from cte t
Jeff Moden Splitter
CREATE FUNCTION [dbo].[DelimitedSplit8K] (#pString VARCHAR(8000), #pDelimiter CHAR(1))
--WARNING!!! DO NOT USE MAX DATA-TYPES HERE! IT WILL KILL PERFORMANCE!
RETURNS TABLE WITH SCHEMABINDING AS
RETURN
/* "Inline" CTE Driven "Tally Table" produces values from 1 up to 10,000...
enough to cover VARCHAR(8000)*/
WITH E1(N) AS (
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1
), --10E+1 or 10 rows
E2(N) AS (SELECT 1 FROM E1 a, E1 b), --10E+2 or 100 rows
E4(N) AS (SELECT 1 FROM E2 a, E2 b), --10E+4 or 10,000 rows max
cteTally(N) AS (--==== This provides the "base" CTE and limits the number of rows right up front
-- for both a performance gain and prevention of accidental "overruns"
SELECT TOP (ISNULL(DATALENGTH(#pString),0)) ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) FROM E4
),
cteStart(N1) AS (--==== This returns N+1 (starting position of each "element" just once for each delimiter)
SELECT 1 UNION ALL
SELECT t.N+1 FROM cteTally t WHERE SUBSTRING(#pString,t.N,1) = #pDelimiter
),
cteLen(N1,L1) AS(--==== Return start and length (for use in substring)
SELECT s.N1,
ISNULL(NULLIF(CHARINDEX(#pDelimiter,#pString,s.N1),0)-s.N1,8000)
FROM cteStart s
)
--===== Do the actual split. The ISNULL/NULLIF combo handles the length for the final element when no delimiter is found.
SELECT ItemNumber = ROW_NUMBER() OVER(ORDER BY l.N1),
Item = SUBSTRING(#pString, l.N1, l.L1)
FROM cteLen l
;
GO
First, you should read Is storing a delimited list in a database column really that bad?, where you will see a lot of reasons why the answer to this question is Absolutely yes!
Second, you should add a table for user permissions since this is clearly a many to many relationship.
Your tables might look something like this (pseudo code):
usersTbl
(
Id int primary key
-- other user related columns
)
usersPermissionsTbl
(
UserId int, -- Foreign key to usersTbl
PermissionId int, -- Foreign key to permissionsTbl
Primary key (UserId, PermissionId)
)
permissionsTbl
(
Id int primary key,
Name varchar(20)
)
Once you have your tables correct, it's quite easy to get a list of comma separated values from the permissions table.
Adapting scsimon's sample data script to a correct many to many relationship:
declare #users table ([Name] varchar(64), id int, age int)
insert into #users values
('Bbarker',5987,87)
declare #permissions table (id int, [type] varchar(64))
insert into #permissions values
(1,'Read'),
(2,'Write'),
(3,'Upload'),
(4,'Admin')
declare #usersPermissions as table (userId int, permissionId int)
insert into #usersPermissions values (5987, 1), (5987, 3)
Now the query looks like this:
SELECT u.Name,
u.Id,
STUFF(
(
SELECT ','+ [type]
FROM #permissions p
INNER JOIN #usersPermissions up ON p.id = up.permissionId
WHERE up.userId = u.Id
FOR XML PATH('')
)
, 1, 1, '') As Permissions,
u.Age
FROM #Users As u
And the results:
Name Id Permissions Age
Bbarker 5987 Read,Upload 87
You can see a live demo on rextester.
I concur with much of the advice being presented to you in the other responses. The structure you're starting with is not going to be fun to maintain and work with. However, your situation may mean you are stuck with it so maybe some of the tools below will help you.
You can parse the delimiter with charindex() as others demonstrated here- MSSQL - How to split a string using a comma as a separator
... and even better here (several functions are provided) - Split function equivalent in T-SQL?
If you still want to do it with raw inline SQL and are committed to a loop, then pair the string manipulation with a CURSOR. Cursors have their own controversies BTW. The code below will work if your permission syntax remains consistent, which it probably doesn't.
They used charindex(',',columnName) and fed the location into the left() and right() functions along with some additional string evaluation to pull values out. You should be able to piece those together with a cursor
Your query might look like this...
--creating my temp structure
declare #userPermissions table (id int, [type] varchar(16))
insert into #userPermissions (id, [type]) values (1, 'Read')
insert into #userPermissions (id, [type]) values (2, 'Write')
insert into #userPermissions (id, [type]) values (3, 'Upload')
insert into #userPermissions (id, [type]) values (4, 'Admin')
declare #usersTbl table ([Name] varchar(16), id int, [permissions] varchar(8), age int)
insert into #usersTbl ([Name], id, [permissions], age) values ('Bbarker', 5987, '1,3', 87)
insert into #usersTbl ([Name], id, [permissions], age) values ('Mmouse', 5988, '2,4', 88)
--example query
select
ut.[Name]
, (select [type] from #userPermissions where [id] = left(ut.[permissions], charindex(',', ut.[permissions])-1) )
+ ','
+ (select [type] from #userPermissions where [id] = right(ut.[permissions], len(ut.[permissions])-charindex(',', ut.[permissions])) )
from #usersTbl ut
How do I update/replace the value of the first table from the list of my second table in SQL. Sorry im not so good in using replace() of SQL especially replacing from values base from different table
First table.
ID | Value
======================
1 | Fruits[Apple]
2 | Fruits[Apple,Mango]
3 | Apple[Red,Green]
Second table
Search | Replace
=========================
Apple | Orange
Green | Yellow
You will need some kind of recursive replace.
something like a loop
declare #t1 table (ID int, Value varchar(max))
declare #t2 table (Search varchar(max), ReplaceWith varchar(max))
insert #t1 values (1, 'Fruits[Apple]'),(2, 'Fruits[Apple,Mango]'), (3, 'Apple[Red,Green]')
insert #t2 values ('Apple', 'Orange'),('Green', 'Yellow')
--loop nth times for rows that have more than one match
while exists(select top 1 * from #t1 inner join #t2 on charindex(Search, Value ) > 0)
begin
update #t1
set Value = replace(Value, Search, ReplaceWith)
from #t2
inner join #t1 on charindex(Search, Value ) > 0
end
select * from #t1
results
ID Value
----- -----------------------
1 Fruits[Orange]
2 Fruits[Orange,Mango]
3 Orange[Red,Yellow]
Alternatively, you could use recursive CTE
;with CTE(ID, Value, rec_count)
as (
select distinct ID, Value, 1 as rec_count from #t1 inner join #t2 on charindex(Search, Value ) > 0
union all
select ID, Value = replace(Value, Search, ReplaceWith), rec_count +1
from CTE
inner join #t2 on charindex(Search, Value ) > 0
)
update #t1
set Value= replaced.Value
from #t1 t
inner join
( select distinct ID, Value
from CTE c
where rec_count > 1
and rec_count = (select max(rec_count) from CTE where ID = c.ID) ) replaced on replaced.ID = t.ID
Simply use following UPDATE by cross-joined select statement and enjoy it! ;)
UPDATE tFirst
SET Value = REPLACE(tFirst.Value, tSecond.Search, tSecond.Replace)
FROM
[First] tFirst
CROSS JOIN [Second] tSecond
TableA:
Brand Product
------------------
A X
A XX
A XXX
B Y
B YY
C Z
I need data as shown in Table below:
A B C
-------------------
X Y Z
XX YY NULL
XXX NULL NULL
How to do that in Sql Server 2008 ?
I dont beleive a PIVOT is what you are looking for here.
From what I can see you are looking at using the entries in order to generate the rows?
Also, PIVOTs make use of aggregate functions, so I cant see this happening.
What you can try, is something like
DECLARE #Table TABLE(
Brand VARCHAR(10),
Product VARCHAR(10)
)
INSERT INTO #Table SELECT 'A','X '
INSERT INTO #Table SELECT 'A','XX'
INSERT INTO #Table SELECT 'A','XXX'
INSERT INTO #Table SELECT 'B','Y'
INSERT INTO #Table SELECT 'B','YY'
INSERT INTO #Table SELECT 'C','Z'
;WITH Vals AS (
SELECT *,
ROW_NUMBER() OVER(PARTITION BY Brand ORDER BY (SELECT NULL)) RID
FROM #Table
)
, RIDs AS (
SELECT DISTINCT
RID
FROM Vals
)
SELECT vA.Product [A],
vB.Product [B],
vC.Product [C]
FROM RIDs r LEFT JOIN
Vals vA ON r.RID = vA.RID
AND vA.Brand = 'A' LEFT JOIN
Vals vB ON r.RID = vB.RID
AND vB.Brand = 'B' LEFT JOIN
Vals vC ON r.RID = vC.RID
AND vC.Brand = 'C'
I know it is a late entry, but here is a different approach to solve it:
DECLARE #Table TABLE(Brand VARCHAR(10), Product VARCHAR(10))
INSERT INTO #Table SELECT 'A','X '
INSERT INTO #Table SELECT 'A','XX'
INSERT INTO #Table SELECT 'A','XXX'
INSERT INTO #Table SELECT 'B','Y'
INSERT INTO #Table SELECT 'B','YY'
INSERT INTO #Table SELECT 'C','Z'
SELECT [A],[B],[C] FROM (
SELECT row_number() over (partition by brand order by product) rn,
Product, brand FROM #table
) as p
PIVOT(
MAX(product) for Brand in ([A],[B],[C])
)as pvt