Below is my query. Access does not like it, giving me the error Syntax error (missing operator) in query expression 'answer WHERE question = 1'.
Hopefully you can see what I am trying to do. Please pay particular attention to 3rd, 4th, and 5th lines under the SELECT statement.
INSERT INTO Table2 (respondent,1,2,3-1,3-2,3-3,4,5)
SELECT respondent,
answer WHERE question = 1,
answer WHERE question = 2,
answer WHERE answer = 'text 1' AND question = 3,
answer WHERE answer = 'text 2' AND question = 3,
answer WHERE answer = 'text 3' AND question = 3,
answer WHERE question = 4,
longanswer WHERE question 5 FROM Table1 GROUP BY respondent;
Hello
How to check a value IS NULL [or] = @param (where @param is null)
Ex:
Select column1 from Table1
where column2 IS NULL => works fine
If I want to replace comparing value (IS NULL) with @param. How can this be done
Select column1 from Table1
where column2 = @param => this works fine until @param got some value in it and if is null never finds a record.
How can this achieve?
I would like to use newId to generate random numbers. Usually you would use it just once, but I might be generating up to 10 random numbers per newId.
Is it random enough?
Hi
I am wondering how can do a mass insert and bulk copy at the same time? I have 2 tables that should be affect by the bulk copy as they both depend on each other.
So I want it that if while inserting table 1 a record dies it gets rolled back and table 2 never gets updated. Also if table 1 inserts good and table 2 an update fails table 1 gets rolled back.
Can this be done with bulk copy?
I have a table with 600+ columns imported from a csv with special chars % _ - in the column names, is there a way to change the column names to remove these special chars ?
the code can be tsql or tsql
I have the below
Name Date
A 2011-01-01 01:00:00.000
A 2011-02-01 02:00:00.000
A 2011-03-01 03:00:00.000
B 2011-04-01 04:00:00.000
A 2011-05-01 07:00:00.000
The desired output being
Name StartDate EndDate
-------------------------------------------------------------------
A 2011-01-01 01:00:00.000 2011-04-01 04:00:00.000
B 2011-04-01 04:00:00.000 2011-05-01 07:00:00.000
A 2011-05-01 07:00:00.000 NULL
How to achieve the same using TSQL in Set based approach
DDL is as under
DECLARE @t TABLE(PersonName VARCHAR(32), [Date] DATETIME)
INSERT INTO @t VALUES('A', '2011-01-01 01:00:00')
INSERT INTO @t VALUES('A', '2011-01-02 02:00:00')
INSERT INTO @t VALUES('A', '2011-01-03 03:00:00')
INSERT INTO @t VALUES('B', '2011-01-04 04:00:00')
INSERT INTO @t VALUES('A', '2011-01-05 07:00:00')
Select * from @t
select @[email protected]('*')
for xml raw,type
Above statement will generate following alert:
Msg 6819, Level 16, State 3, Line 2
The FOR XML clause is not allowed in a ASSIGNMENT statement.
hi all,
I have a db with users that have all this record .
I would like to do a query on a data like
CN=aaa, OU=Domain,OU=User, OU=bbbbbb,OU=Department, OU=cccc, OU=AUTO, DC=dddddd, DC=com
and I need to group all users by the same ou=department.
How can I do the select with the substring to search a department??
My idea for the solution is to create another table that is like this:
---------------------------------------------------
ldapstring | society | site
---------------------------------------------------
"CN=aaa, OU=Domain,OU=User, OU=bbbbbb,OU=Department, OU=cccc, OU=AUTO, DC=dddddd, DC=com" | societyName1 | societySite1
and my idea is to compare the string with these on the new table with the tag like but how can I take the society and site when the like string occurs?????
Please help me
I have a large historical transaction table (15-20 million rows MANY columns) and a table with one row one column. The table with one row contains a date (last processing date) which will be used to pull the data in the trasaction table ('process_date').
Question: Should I inner join the 'process_date' table to the transaction table or the transaction table to the 'process_date' table?
for eg...
SELECT *
FROM ( SELECT RANK() OVER (ORDER BY stud_mark DESC) AS ranking,
stud_id,
stud_name,
stud_mark
FROM tbl_student ) AS foo
WHERE ranking = 10
Here foo is present...actually what it does ?..
I have to find the indentid from the status table based on below two conditions:
1. If there are more than one record having same indentid in status table and the same indentID has count1 in feasibilitystatus table then
I don't want to display the record.
2. If there is only one record of indentid in status table and the same indentID has count0 in feasibilitystatus table then
I don't want to display the record.
Query:
select distinct s.indentid
from status s where
s.status='true'
and s.indentid
not in(select case when count(s.indentid)>1 then (select indentid from feasibilitystatus
group by indentid having count(indentid)>1)
else (select indentid from feasibilitystatus group by
indentid having count(indentid)>0)
end as indentid from status)
Error:
An aggregate may not appear in the WHERE clause unless it is in a subquery
contained in a HAVING clause or a select list, and the column being aggregated is
an outer reference.
Hi all,
in the data warehouse there's a default language for the measures, and I added a translation for German captions. In a Visual Studio Report Server project, when creating a query with my German OS, the cube and its measures are displayed in German language. When dragging measures to the mdx query windows, the default measure name is used. That's what I want and what I expect, since when writing MDX queries I would like to use the default measure names. But when executing the query, the columns created for each measure is translated to German again. This resuls in having German columns names within my dataset, which I dont want. I'd like to have the english column names.
I already tried to change the connection string to: Data Source=server;Initial Catalog=DataWarehouse;LocaleIdentifier=1033
But that doesn't help, I still see German translations.
Anyone knows how to set a specific translation?
I have a database project that goes through iterations (only one so far) and I need to deploy a testing version to a live server. I'm not sure how to go about this.
I can make all the changes in a copy and then remake those changes in the live version. That doesn't make sense.
Is there a way to change a server name to an existing server? What's the best practice for this scenario?
I am trying to get recursive data.
Following code returns all parents on the top and then the children.
I would like to get data Parent 1 – his children then parent 2 - his children then parent3 – his children.
How do I do this?
USE Subscriber
GO
WITH Parent (ParentId, Id, Name,subscriberID)
AS
(
-- Anchor member definition
SELECT A.ParentId,A.id, A.name,A.SubscriberId
FROM Subscriber.Budget.SubscriberCategory AS A
WHERE ParentId IS NULL
UNION ALL
-- Recursive member definition
SELECT B.ParentId, B.id, B.name,B.SubscriberId
FROM Subscriber.Budget.SubscriberCategory AS B
INNER JOIN Parent AS P
ON B.ParentId = P.Id
)
-- Statement that executes the CTE
SELECT parentId, id, name
FROM Parent
where subscriberID = '1C18093B-5031-42E4-9251-CEF69114365F'
GO
I'm trying to write a stored procedure to select employees who have birthdays that are upcoming.
SELECT * FROM Employees WHERE Birthday > @Today AND Birthday < @Today + @NumDays
This will not work because the birth year is part of Birthday, so if my birthday was '09-18-1983' that will not fall between '09-18-2008' and '09-25-2008'.
Is there a way to ignore the year portion of date fields and just compare month/days?
This will be run every monday morning to alert managers of birthdays upcoming, so it possibly will span new years.
Here is the working solution that I ended up creating, thanks Kogus.
SELECT * FROM Employees
WHERE Cast(DATEDIFF(dd, birthdt, getDate()) / 365.25 as int)
- Cast(DATEDIFF(dd, birthdt, futureDate) / 365.25 as int)
<> 0
I've banging my head for hours, it seems simple enough, but here goes:
I'd like to create a view using multiple select statements that outputs a Single record-set
Example:
CREATE VIEW dbo.TestDB
AS
SELECT X AS 'First'
FROM The_Table
WHERE The_Value = 'y'
SELECT X AS 'Second'
FROM The_Table
WHERE The_Value = 'z'
i wanted to output the following recordset:
Column_1 | Column_2
'First' 'Second'
any help would be greatly appreciated!
-Thanks.
I have a following query. It uses only one table (Customers) from Northwind database.
I completely have no idea how does it work, and what its intention is. I hope there is a lot of DBAs here so I ask for explanation. particularly don't know what the OVER and PARTITION does here.
WITH NumberedWomen AS
(
SELECT CustomerId ,ROW_NUMBER() OVER
(
PARTITION BY c.Country
ORDER BY LEN(c.CompanyName) ASC
)
women
FROM Customers c
)
SELECT * FROM NumberedWomen WHERE women > 3
If you needed the db schema, it is here
I would like to create a stored procedure that takes in a string of comma separated values like this "1,2,3,4", and break it apart and use those numbers to run a query on a different table.
so in the same stored procedure it would do something like
select somefield from sometable where somefield = 1
select somefield from sometable where somefield = 2
select somefield from sometable where somefield = 3
select somefield from sometable where somefield = 4
Thanks!
I need to find the amount of updated rows
UPDATE Table SET value=2 WHERE value2=1
declare @aaa int
set @aaa = @@ROWCOUNT
It doesn't work. How can I do that?
Can someone explain the implications of using "with (nolock)" on queries, when you should/shouldn't use it?
For example, if you have a banking application with high transaction rates and a lot of data in certain tables, in what types of queries would nolock be okay? Are there cases when you should always use it/never use it?
Hi, I am trying to get some percentage data from a stored procedure using code similar to the line below. Obviously this is going to cause a (Divide by zero error encountered) problem when base.[XXX_DataSetB] returns 0 which may happen some of the time.
Does anyone know how i can deal with this in the most efficient manner?
Note: There would be about 20+ lines looking like the one below...
cast((base.[XXX_DataSetB] - base.[XXX_DataSetA]) as decimal) / base.[XXX_DataSetB] as [XXX_Percentage]
I have a simple problem, I think, but I have googled and can't find the solution. I have a cube that has MeasureA, MeasureB and MeasureC. Not all three measures have values for each record, sometimes they can be null, it's depending if it was applicable.
Now for my totals, I need to average but the average must not take nulls into account. Any help will be much appreciated. When I view the measures, the null values show as zeros.