How to write that tsql request (conversion problem)? - tsql

I have 2 tables :
Table Contract :
IdContract | Department | IdCompany
-----------------------------------------------------
154 | 6 | /1150/1420/879/
And table Company :
IdCompany | WorkingIdDepartment
-------------------------------------
1150 | /17/8/26/
For some reason some companies are wrongly assigned to some contracts : they are on contracts for department 6 but they work only on department 17, 8 and 26. I need to find those companies.
I try to request my database this way :
SELECT *
FROM tbl_contract ct, tbl_compagny cp
WHERE ct.IdCompany like CONCAT('%/1150/%')
AND ct.Department NOT IN (17,8,26)
Or in a dynamic way :
SELECT *
FROM tbl_contract ct, tbl_compagny cp
WHERE ct.IdCompany like CONCAT('%/' , cp.IdCompany , '/%')
AND ct.Department NOT IN (Right(Left(Replace(WorkingIdDepartment, '/', ','), len(Replace(WorkingIdDepartment, '/', ',')) - 1), len(Left(Replace(WorkingIdDepartment, '/', ','), len(Replace(WorkingIdDepartment, '/', ',')) - 1))-1))
But my error is the last part of my request give me a string : '17,8,26' and not several Int separated with coma... so I get conversion error (I don"t copy/paste my error here because it's in french)
How can I achieve my request please ?
Thanks for your help !

The solution was :
SELECT *
FROM tbl_contract ct, tbl_compagny cp
WHERE ct.IdCompany like CONCAT('%/' , cp.IdCompany , '/%')
AND ct.Department NOT IN (SELECT value from STRING_SPLIT(WorkingIdDepartment, '/'))
It's very "performance consumming" but it works with my database poor design

Related

T-sql: Highlight invoice numbers if they occur in a payment description field

I have two sql-server tables: bills and payments. I am trying to create a VIEW to highlight the bill numbers if they occur in the payment description field. For example:
TABLE bll
|bllID | bllNum |
| -------- | -------- |
| 1 | qwerty123|
| 2 | qwerty345|
| 3 | 1234 |
TABLE payments
|paymentID | description |
| -------- | ---------------------------------- |
| 1 | payment of qwerty123 and qwerty345 |
I want to highlight both the 'qwerty123' and 'qwerty345' strings by adding html code to it. The code I have is this:
SELECT REPLACE(payments.description,
COALESCE((SELECT TOP 1 bll.bllNum
FROM bll
WHERE COALESCE(bll.bllNum, '') <> '' AND
PATINDEX('%' + bll.bllNum + '%', payments.description) > 0), ''),
'<font color=red>' +
COALESCE((SELECT TOP 1 bll.bllNum
FROM bll
WHERE COALESCE(bll.bllNum, '') <> '' AND
PATINDEX('%' + bll.bllNum + '%', payments.description) > 0), '') +
'</font>')
FROM payments
This works but only for the first occurrence of a bill number. If the description field has more than one bill number, the consecutive bill numbers are not highlighted. So in my example 'qwerty123' gets highlighted, but not 'qwerty345'
I need to highlight all occurrences. How can I accomplish this?
With the caveat that this is not a task best done in the database, one possible approach you could try is to use string_split to break your description into words and then join this to your Bills, doing your string manipulation on matching rows.
Note, according to the documentation, string_split is not 100% guaranteed to retain its correct ordering but always has in my usage. It could always be substituted for an alternative function to work on the same principle.
select string_agg (w.word,' ') [Description]
from (
select
case when exists (select * from bill b where b.billnum=s.value)
then Concat('<font colour="red">',s.value,'</font>') else s.value end word
from payments p
cross apply String_Split(description,' ')s
)w
Example DB Fiddle
Okay, I understand, I can put code in the front-end application by looping through the bill numbers and replacing them as they are found in the description. Just thought/ hoped there was a simple solution to this using t-sql. But I understand the difficulty.

How to return a function result into query?

I have a function called ClientStatus that returns a record with two fields Status_Description and Status_Date. This function receives a parameter Client_Id.
I'm trying to get the calculated client status for all the clients in the table Clients, something like:
| Client_Name | Status_Description | Status_Date |
+-------------+--------------------+-------------+
| Abc | Active | 12-12-2010 |
| Def | Inactive | 13-12-2011 |
Where Client_Name comes from the table Clients, Status_Description and Status_Date from the function result.
My first (wrong) approach was to join the table and the function like so:
SELECT c.Client_Name, cs.Status_Description, cs.Status_Date FROM Clients c
LEFT JOIN (
SELECT * FROM ClientStatus(c.ClientId) as (Status_Description text, Status_Date date)) cs
This obviously didn't work because c.ClientId could not be referenced.
Could someone explain me how can I obtain the result I am looking for?
Thanks in advance.
I think the following can give the result you expect :
SELECT c.Client_Name, d.Status_Description, d.Status_Date
FROM Clients c, ClientStatus(c.ClientId) d
I have solved my problem writing the query like this:
SELECT c.Client_Name, cs.status[1] as Description, cs.stautus[2]::date as Date
FROM (
SELECT string_to_array(translate(
(SELECT ClientStatus(ClientId))::Text, '()', ''), ',') status
FROM Clients
) cs
It is not the most elegant solution but it was the only one I could find to make this work.

find pattern relationships using rest cypher

how can I find pattern relationships using rest cypher?
My query running on terminal :-
MATCH (n)<-[:DEPENDS_ON*]-(dependent) RETURN n.host as Host,
count(DISTINCT dependent) AS Dependents ORDER BY Dependents
DESC LIMIT 1**
output is :-
+--------------------+
| Host | Dependents |
+--------------------+
| "SAN" | 20 |
+--------------------+
where as equivalent query with rest :-
String query = "{\"query\" : \"MATCH (website)<-[rel]-(dependent) " +
"WHERE TYPE(rel) = {rtype} RETURN website.host as Host," +
"count(DISTINCT dependent) AS Dependents ORDER BY Dependents DESC LIMIT 1" +
" \", \"params\" : {\"rtype\" : \"DEPENDS_ON*\"}}";
and output is empty(no records) !!!
Any help appreciated.
P.S- When we dont use "*" in our query everything goes ok. IE both queries give same result
In the second query you are passing the relationship type as "DEPENDS_ON*" which is incorrect since the asterisk is being included.
The asterisk is for allowing arbitrary length paths for the specified relationship but is not part of the type.

Split a string and populate a table for all records in table in SQL Server 2008 R2

I have a table EmployeeMoves:
| EmployeeID | CityIDs
+------------------------------
| 24 | 23,21,22
| 25 | 25,12,14
| 29 | 1,2,5
| 31 | 7
| 55 | 11,34
| 60 | 7,9,21,23,30
I'm trying to figure out how to expand the comma-delimited values from the EmployeeMoves.CityIDs column to populate an EmployeeCities table, which should look like this:
| EmployeeID | CityID
+------------------------------
| 24 | 23
| 24 | 21
| 24 | 22
| 25 | 25
| 25 | 12
| 25 | 14
| ... and so on
I already have a function called SplitADelimitedList that splits a comma-delimited list of integers into a rowset. It takes the delimited list as a parameter. The SQL below will give me a table with split values under the column Value:
select value from dbo.SplitADelimitedList ('23,21,1,4');
| Value
+-----------
| 23
| 21
| 1
| 4
The question is: How do I populate EmployeeCities from EmployeeMoves with a single (even if complex) SQL statement using the comma-delimited list of CityIDs from each row in the EmployeeMoves table, but without any cursors or looping in T-SQL? I could have 100 records in the EmployeeMoves table for 100 different employees.
This is how I tried to solve this problem. It seems to work and is very quick in performance.
INSERT INTO EmployeeCities
SELECT
em.EmployeeID,
c.Value
FROM EmployeeMoves em
CROSS APPLY dbo.SplitADelimitedList(em.CityIDs) c;
UPDATE 1:
This update provides the definition of the user-defined function dbo.SplitADelimitedList. This function is used in above query to split a comma-delimited list to table of integer values.
CREATE FUNCTION dbo.fn_SplitADelimitedList1
(
#String NVARCHAR(MAX)
)
RETURNS #SplittedValues TABLE(
Value INT
)
AS
BEGIN
DECLARE #SplitLength INT
DECLARE #Delimiter VARCHAR(10)
SET #Delimiter = ',' --set this to the delimiter you are using
WHILE len(#String) > 0
BEGIN
SELECT #SplitLength = (CASE charindex(#Delimiter, #String)
WHEN 0 THEN
datalength(#String) / 2
ELSE
charindex(#Delimiter, #String) - 1
END)
INSERT INTO #SplittedValues
SELECT cast(substring(#String, 1, #SplitLength) AS INTEGER)
WHERE
ltrim(rtrim(isnull(substring(#String, 1, #SplitLength), ''))) <> '';
SELECT #String = (CASE ((datalength(#String) / 2) - #SplitLength)
WHEN 0 THEN
''
ELSE
right(#String, (datalength(#String) / 2) - #SplitLength - 1)
END)
END
RETURN
END
Preface
This is not the right way to do it. You shouldn't create comma-delimited lists in SQL Server. This violates first normal form, which should sound like an unbelievably vile expletive to you.
It is trivial for a client-side application to select rows of employees and related cities and display this as a comma-separated list. It shouldn't be done in the database. Please do everything you can to avoid this kind of construction in the future. If at all possible, you should refactor your database.
The Right Answer
To get the list of cities, properly expanded, from a table containing lists of cities, you can do this:
INSERT dbo.EmployeeCities
SELECT
M.EmployeeID,
C.CityID
FROM
EmployeeMoves M
CROSS APPLY dbo.SplitADelimitedList(M.CityIDs) C
;
The Wrong Answer
I wrote this answer due to a misunderstanding of what you wanted: I thought you were trying to query against properly-stored data to produce a list of comma-separated CityIDs. But I realize now you wanted the reverse: to query the list of cities using existing comma-separated values already stored in a column.
WITH EmployeeData AS (
SELECT
M.EmployeeID,
M.CityID
FROM
dbo.SplitADelimitedList ('23,21,1,4') C
INNER JOIN dbo.EmployeeMoves M
ON Convert(int, C.Value) = M.CityID
)
SELECT
E.EmployeeID,
CityIDs = Substring((
SELECT ',' + Convert(varchar(max), CityID)
FROM EmployeeData C
WHERE E.EmployeeID = C.EmployeeID
FOR XML PATH (''), TYPE
).value('.[1]', 'varchar(max)'), 2, 2147483647)
FROM
(SELECT DISTINCT EmployeeID FROM EmployeeData) E
;
Part of my difficulty in understanding is that your question is a bit disorganized. Next time, please clearly label your example data and show what you have, and what you're trying to work toward. Since you put the data for EmployeeCities last, it looked like it was what you were trying to achieve. It's not a good use of people's time when questions are not laid out well.

How do you exclude a column from showing up if there is no value?

Question about a query I'm trying to write in SQL Server Management Studio 2008. I am pulling 2 rows. The first row being the header information, the second row being the information for a certain Line Item. Keep in mind, the actual header information reads as "Column 0, 1, 2, 3, 4,.... etc."
The data looks something like this:
ROW 1: Model # | Item Description| XS | S | M | L | XL|
ROW 2: 3241 | Gray Sweatshirt| | 20 | 20 | 30 | |
Basically this shows that there are 20 smalls, 20 mediums, and 30 larges of this particular item. There are no XS's or XL's.
I want to create a subquery that puts this information in one row, but at the same time, disinclude the sizes with a blank quantity amount as shown under the XS and XL sizes.
I want it to look like this when all is said and done:
ROW 1: MODEL #| 3241 | ITEM DESCRIPTION | Gray Sweatshirt | S | 10 | M | 20 | L | 30 |
Notice there are no XS or XL's included. How do I do make it so those columns do not appear?
Since you are not posting your query, nor your table structure, I guess it is with columns Id, Description, Size. If so, you could do this and just replace with your table and column names:
DECLARE #columns varchar(8000)
SELECT #columns = COALESCE (#columns + ',[' + cast(Size as varchar) + ']', '[' + cast(Size as varchar) + ']' )
FROM YourTableName
WHERE COUNT(Size) > 0
DECLARE #query varchar(8000) = 'SELECT Id, Description, '
+ #columns +'
FROM
(SELECT Id, Description, Size
FROM YourTableName) AS Source
PIVOT
(
COUNT(Size)
FOR Size IN ('+ #columns +')
) AS Pvt'
EXEC(#query)
Anyhow, I also agree with #MichaelFredickson. I have implemented this pivot solution, yet it is absolutely better to let the presentation layer to take care of this after just pulling the raw data from SQL. If not, you would be processing the data twice, one on SQL to create the table and the other in the presentation when reading and displaying the values with your c#/vb/other code.