I'm using SQL Server 2008. I'm trying to insert data into dv_user_akun table with value that I've selected from another table. Please take a look.
INSERT INTO dv_user_akun (user_id, nik, username, password, kode_tipe, flag)
SELECT
(SELECT
CASE
WHEN right(max(user_id), 8) IS NULL
THEN 'USR00000001'
ELSE ('USR-' + RIGHT('0000000' + cast(right(max(user_id), 7) + 1 as nvarchar), 7))
END user_id
FROM
dv_user_akun) as user_id,
(SELECT
Nip, Nip, '81dc9bdb52d04dc20036dbd8313ed055', PositionCode, 1
FROM
Employee
WHERE
Nip NOT IN (SELECT Nik FROM dv_user_akun))
I get this error
The select list for the INSERT statement contains fewer items than the insert list.
The number of SELECT values must match the number of INSERT columns.
You don't have anything in your select statement. I've changed your subqueries to proper joins rather than the old style ansi joins that you have there. The only problem I still have is that you appear to be using the field Nip to insert into both nik and username fields;
INSERT INTO dv_user_akun (user_id, nik, username, password, kode_tipe, flag)
SELECT
a.user_id
,b.Nip
,b.Nip
,b.pass
,b.PositionCode
,b.number
FROM (
SELECT CASE
WHEN right(max(user_id), 8) IS NULL
THEN 'USR00000001'
ELSE ('USR-' + RIGHT('0000000' + cast(right(max(user_id), 7) + 1 AS NVARCHAR), 7))
END user_id
FROM dv_user_akun
) a
CROSS JOIN
(
SELECT
Nip
,'81dc9bdb52d04dc20036dbd8313ed055' pass
,PositionCode
,1 number
FROM Employee
WHERE Nip NOT IN (
SELECT Nik
FROM dv_user_akun
)
) b
Related
I have JSON data in a column in my table. I am trying to apply where condition on the JSON column and fetch records.
Employee table:
Here is my SQL query:
SELECT ID, EMP_NAME
FROM EMPLOYEE
WHERE JSON_VALUE(TEAM, '$') IN (2, 3, 4, 5, 7, 10)
I am getting an empty result when I use this query. Any help on how to do this?
You need to parse the JSON in the TEAM column with OPENJSON():
Table:
CREATE TABLE EMPLOYEE (
ID int,
EMP_NAME varchar(50),
TEAM varchar(1000)
)
INSERT INTO EMPLOYEE (ID, EMP_NAME, TEAM)
VALUES
(1, 'Name1', '[2,11]'),
(2, 'Name2', '[2,3,4,5,7,10]'),
(3, 'Name3', NULL)
Statement:
SELECT DISTINCT e.ID, e.EMP_NAME
FROM EMPLOYEE e
CROSS APPLY OPENJSON(e.TEAM) WITH (TEAM int '$') j
WHERE j.TEAM IN (2,3,4,5,7,10)
Result:
ID EMP_NAME
1 Name1
2 Name2
As an additional option, if you want to get the matches as an aggregated text, you may use the following statement (SQL Server 2017 is needed):
SELECT e.ID, e.EMP_NAME, a.TEAM
FROM EMPLOYEE e
CROSS APPLY (
SELECT STRING_AGG(TEAM, ',') AS TEAM
FROM OPENJSON(e.TEAM) WITH (TEAM int '$')
WHERE TEAM IN (2,3,4,5,7,10)
) a
WHERE a.TEAM IS NOT NULL
Result:
ID EMP_NAME TEAM
1 Name1 2
2 Name2 2,3,4,5,7,10
JSON_VALUE returns a scalar value, not a data set, which you appaer to think it would. If you run SELECT JSON_VALUE('[2,3,4,5,7,10]','$') you'll see that it returns NULL, so yes, no rows will be returned.
You need to treat the JSON like a data set, not a single value:
SELECT ID, EMP_NAME
FROM EMPLOYEE E
WHERE EXISTS (SELECT 1
FROM OPENJSON (E.TEAM) OJ
WHERE OJ.Value IN (2,3,4,5,7,10))
I have one table (Table1) that has several columns used in combination: Name, TestName, DevName, Dept. When each of these 4 columns have values, the record is inserted into Table2. I need to confirm that all of the records with existing values in each of these fields within Table1 were correctly copied into Table 2.
I have created a query for it:
SELECT DISTINCT wr.Name,wr.TestName, wr.DEVName ,wr.Dept
FROM table2 wr
where NOT EXISTS (
SELECT NULL
FROM TABLE1 ym
WHERE ym.Name = wr.Name
AND ym.TestName = wr. TestName
AND ym.DEVName = wr.DEVName
AND ym. Dept = wr. Dept
)
My counts are not adding up, so I believe that this is incorrect. Can you advise me on the best way to write this query for my needs?
You can use the EXCEPT set operator for this one if the table definitions are identical.
SELECT DISTINCT ym.Name, ym.TestName, ym.DEVName, ym.Dept
FROM table1 ym
EXCEPT
SELECT DISTINCT wr.Name, wr.TestName, wr.DEVName, wr.Dept
FROM table2 wr
This returns distinct rows from the first table where there is not a match in the second table. Read more about EXCEPT and INTERSECT here: https://learn.microsoft.com/en-us/sql/t-sql/language-elements/set-operators-except-and-intersect-transact-sql?view=sql-server-2017
Your query should do the job. It checks anything that are in Table1, but not Table2
SELECT ym.Name, ym.TestName, ym.DEVName, ym.Dept
FROM Table1 ym
WHERE NOT EXISTS (
SELECT 1
FROM table2
WHERE ym.Name = Name AND ym.TestName = TestName AND ym.DEVName = DEVName AND ym. Dept = Dept
)
If the structure of both tables are the same, EXCEPT is probably simpler.
IF OBJECT_ID(N'tempdb..#table1') IS NOT NULL drop table #table1
IF OBJECT_ID(N'tempdb..#table2') IS NOT NULL drop table #table2
create table #table1 (id int, value varchar(10))
create table #table2 (id int)
insert into #table1(id, value) VALUES (1,'value1'), (2,'value2'), (3,'value3')
--test here. Comment next line
insert into #table2(id) VALUES (1) --Comment/Uncomment
select * from #table1
select * from #table2
select #table1.*
from #table1
left JOIN #table2 on
#table1.id = #table2.id
where (#table2.id is not null or not exists (select * from #table2))
I do have following table
ID Name
1 Jagan Mohan Reddy868
2 Jagan Mohan Reddy869
3 Jagan Mohan Reddy
Name column size is VARCHAR(55).
Now for some other task we need to take only 10 varchar length i.e. VARCHAR(10).
My requirement is to check that after taking the only 10 bits length of Name column value for eg if i take Name value of ID 1 i.e. Jagan Mohan Reddy868 by SUBSTRING(Name, 0,11) if it equals with another row value. here in this case the final value of SUBSTRING(Jagan Mohan Reddy868, 0,11) is equal to Name value of ID 3 row whose Name is 'Jagan Mohan Reddy'. I need to make a list of those kind rows. Can somebody help me out on how can i achieve in SQL Server.
My main check is that the truncated values of my Name column should not match with any non truncated values of Name column. If so i need to get those records.
Assuming I understand the question, I think you are looking for something like this:
Create and populate sample data (Please save us this step in your future questions)
DECLARE #T as TABLE
(
Id int identity(1,1),
Name varchar(15)
)
INSERT INTO #T VALUES
('Hi, I am Zohar.'),
('Hi, I am Peled.'),
('Hi, I am Z'),
('I''m Zohar peled')
Use a cte with a self inner join to get the list of ids that match the first 10 chars:
;WITH cte as
(
SELECT T2.Id As Id1, T1.Id As Id2
FROM #T T1
INNER JOIN #T T2 ON LEFT(T1.Name, 10) = t2.Name AND T1.Id <> T2.Id
)
Select the records from the original table, inner joined with a union of the Id1 and Id2 from the cte:
SELECT T.Id, Name
FROM #T T
INNER JOIN
(
SELECT Id1 As Id
FROM CTE
UNION
SELECT Id2
FROM CTE
) U ON T.Id = U.Id
Results:
Id Name
----------- ---------------
1 Hi, I am Zohar.
3 Hi, I am Z
Try this
SELECT Id,Name
FROM(
SELECT *,ROW_NUMBER() OVER(PARTITION BY Name, LEFT(Name,11) ORDER BY ID) RN
FROM Tbale1 T
) Tmp
WHERE Tmp.RN = 1
loop over your column for all the values and put your substring() function inside this loop and I think in Sql index of string starts from 1 instead of 0. If you pass your string to charindex() like this
CHARINDEX('Y', 'Your String')
thus you will come to know whether it is starting from 0 or 1
and you can save your substring value as value of other column with length 10
I hope it will help you..
I think this should cover all the cases you are looking for.
-- Create Table
DECLARE #T as TABLE
(
Id int identity(1,1),
Name varchar(55)
)
-- Create Data
INSERT INTO #T VALUES
('Jagan Mohan Reddy868'),
('Jagan Mohan Reddy869'),
('Jagan Mohan Reddy'),
('Mohan Reddy'),
('Mohan Reddy123551'),
('Mohan R')
-- Get Matching Items
select *, SUBSTRING(name, 0, 11) as ShorterName
from #T
where SUBSTRING(name, 0, 11) in
(
-- get all shortnames with a count > 1
select SUBSTRING(name, 0, 11) as ShortName
from #T
group by SUBSTRING(name, 0, 11)
having COUNT(*) > 1
)
order by Name, LEN(Name)
I am trying to write a Business Object report to show a list of the people who have not returned a timesheet on a selected date, but I can't figure out how to stop the SQL query returning multiple entries for individuals.
My Staff_Table contains 2 columns - Employee No & Name
My Timesheet_Table contains, among other things, Employee No & Week_Ending_Date.
I can easily write a statement to return all users who have entered a timesheet with a Week_Ending_Date of e.g. 10/08/2012. However, if I try to return a list of all those who have not enetered a timesheet for 10/08/2012, I pick up every single timesheet in the table which does not have that date, so, for example, if a person has submitted 100 timesheets and only 1 of them is for 10/08/2012, the results will show him 99 times.
What I need is a fixed list of everyone on the Staff_Table who has not submitted for that date, showing once only.
I tried a Union with NOT EXISTS but either I'm doing it wrong or it simply isn't appropriate.
Can anyone point me in the right direction?
You should select all employee numbers that do not enter timesheet first. Then, filter the list using NOT IN.
DECLARE #Week_Ending_Date DATETIME = '2012-08-10'
DECLARE #Staff TABLE
(
EmployeeNo INT NOT NULL,
EmployeeName NVARCHAR(100) NOT NULL
)
DECLARE #TimeSheet TABLE
(
EmployeeNo INT NOT NULL,
Week_Ending_Date DATETIME
)
INSERT INTO #Staff (EmployeeNo, EmployeeName)
VALUES (1, 'Alan'), (2, 'Peter')
INSERT INTO #TimeSheet (EmployeeNo, Week_Ending_Date)
VALUES (1, '2012-08-10'), (1, '2012-08-17'), (2, '2012-08-03')
SELECT
S.EmployeeName
FROM
#Staff S
WHERE
EmployeeNo NOT IN (SELECT EmployeeNo FROM #TimeSheet WHERE Week_Ending_Date = #Week_Ending_Date)
Try adding DISTINCT to your query
ie
SELECT DISTINCT ...
Your query should look something like
SELECT *
FROM Staff
WHERE NOT EXISTS
(
Select EmployeeNo
from Timesheet
where WeekEndingDate='2012-08-10'
and TimeSheet.EmployeeNo = Staff.EmployeeNo
)
or
SELECT *
FROM Staff
WHERE EmployeeNo NOT IN
(
Select EmployeeNo
from Timesheet
where WeekEndingDate='2012-08-10'
)
You could use a not exists clause to find staff that has not submitted a particular timesheet:
select *
from Staff s
where not exists
(
select *
from Timesheet t
where t.EmployeeNo = s.EmployeeNo
and t.Week_Ending_Date = '2012-08-19'
)
Can you not just select all employees who haven't submitted a timesheet and group the results by their name?
select Name
from Staff_Table
left join Timesheet_Table on Staff_Table.[Employee No] = Timesheet_Table.[Employee No] and Timesheet_Table.Week_Ending_Date = '10 August 2012'
having Timesheet_Table.Week_Ending_Date is null
group by Name, Timesheet_Table.Week_Ending_Date
I haven't tested this, but something along these lines.
i have a table some departments tagged with user as
User | Department
user1 | IT,HR,House Keeping
user2 | HR,House Keeping
user3 | IT,Finance,HR,Maintainance
user4 | Finance,HR,House Keeping
user5 | IT,HR,Finance
i have created a SP that take parameter varchar(max) as filter (i dynamically merged if in C# code)
in the sp i creat a temp table for the selected filters eg; if user select IT & Finance & HR
i merged the string as IT##Finance##HR (in C#) & call the sp with this parameter
in SP i make a temp table as
FilterValue
IT
Finance
HR
now the issue how can i get the records that contains all the departments taged with them
(users that are associated with all the values in temp table) to get
User | Department
user3 | IT,Finance,HR,Maintainance
user5 | IT,HR,Finance
as optput
please suggest an optimised way to achive this filtering
This design is beyond horrible -- you should really change this to use truly relational design with a dependent table.
That said, if you are not in a position to change the design, you can limp around the problem with XML, and it might give you OK performance.
Try something like this (replace '#test' with your table name as needed...). You won't need to even create your temp table -- this will jimmy your comma-delimited string around into XML, which you can then use XQuery against directly:
DECLARE #test TABLE (usr int, department varchar(1000))
insert into #test (usr, department)
values (1, 'IT,HR,House Keeping')
insert into #test (usr, department)
values (2, 'HR,House Keeping')
insert into #test (usr, department)
values (3, 'IT,Finance,HR,Maintainance')
insert into #test (usr, department)
values (4, 'Finance,HR,House Keeping')
insert into #test (usr, department)
values (5, 'IT,HR,Finance')
;WITH departments (usr, department, depts)
AS
(
SELECT usr, department, CAST(NULLIF('<department><dept>' + REPLACE(department, ',', '</dept><dept>') + '</dept></department>', '<department><dept></dept></department>') AS xml)
FROM #test
)
SELECT departments.usr, departments.department
FROM departments
WHERE departments.depts.exist('/department/dept[text()[1] eq "IT"]') = 1
AND departments.depts.exist('/department/dept[text()[1] eq "HR"]') = 1
AND departments.depts.exist('/department/dept[text()[1] eq "Finance"]') = 1
I agree with others that your design is, um, not ideal, and given the fact that it may change, as per your comment, one is not too motivated to find a really fascinating solution for the present situation.
Still, you can have one that at least works correctly (I think) and meets the situation. Here's what I've come up with:
;
WITH
UserDepartment ([User], Department) AS (
SELECT 'user1', 'IT,HR,House Keeping' UNION ALL
SELECT 'user2', 'HR,House Keeping' UNION ALL
SELECT 'user3', 'IT,Finance,HR,Maintainance' UNION ALL
SELECT 'user4', 'Finance,HR,House Keeping' UNION ALL
SELECT 'user5', 'IT,HR,Finance'
),
Filter (FilterValue) AS (
SELECT 'IT' UNION ALL
SELECT 'Finance' UNION ALL
SELECT 'HR'
),
CSVSplit AS (
SELECT
ud.*,
--x.node.value('.', 'varchar(max)')
x.Value AS aDepartment
FROM UserDepartment ud
CROSS APPLY (SELECT * FROM dbo.Split(',', ud.Department)) x
)
SELECT
c.[User],
c.Department
FROM CSVSplit c
INNER JOIN Filter f ON c.aDepartment = f.FilterValue
GROUP BY
c.[User],
c.Department
HAVING
COUNT(*) = (SELECT COUNT(*) FROM Filter)
The first two CTEs are just sample tables, the rest of the query is the solution proper.
The CSVSplit CTE uses a Split function that splits a comma-separated list into a set of items and returns them as a table. The entire CTE turns the row set of the form
----- ---------------------------
user1 department1,department2,...
... ...
into this:
----- -----------
user1 department1
user1 department2
... ...
The main SELECT joins the normalised row set with the filter table and selects rows where the number of matches exactly equals the number of items in the filter table. (Note: this implies there's no identical names in UserDepartment.Department).