Can I use a table column within a Like operator? I've created an example,
TableA
Names Location
Albert Smith Senior Aberdeen
John Lee London
Michael Rogers Junior Newcastle
Mary Roberts Edinburgh
TableB
Names
Albert Smith
John Lee
Michael Rogers
I want to do a query such as:
SELECT TableA.Location
into NewTable
FROM TableA
WHERE TableA.Names Like '*[TableB.Names]*';
In this case, there would be no match for Mary Roberts, Edinburgh but the first three locations would be returned.
Is it possible to put a column into a like statement?
If not does anyone have any ideas how I could do this?
Hope you can help
PS I can't use an actual asterisk since this is removed and the text italicised, also I have read about using % instead but this has not worked for me.
You can join the two tables and use LIKE within the JOIN clause:
SELECT TableA.Location
into NewTable
FROM TableA
INNER JOIN TableB ON TableA.Names LIKE TableB.Names & '*';
Honestly, I had no idea that you can do this in Access before I tried it just now :-)
Related
MY SQL returns the following array...
id
staff
province
1
Ben
Ontario
2
Ben
Quebec
3
John
Manitoba
4
John
Saskatchewan
6
Kitty
Alberta
7
Kitty
Nova Scotia
I would like to have the record displayed like this...
staff
province
Ben
Ontario, Quebec
John
Quebec, Manitoba, Saskatchewan
Kitty
Alberta, Nova Scotia
what approach should I use to approach this?
Would be better to post the tables as well for clearer context.
You can use Aggregate functions and Grouping to help doing this. A GROUP BY to group the rows by staff column, then use GROUP_CONCAT() to concatenate province values in one string.
A reference of how you want it to be, unsure what table you are using or if there are any other factors but you can adapt as needed.
SELECT staff, GROUP_CONCAT(province SEPARATOR ', ') as province
FROM table_name
GROUP BY staff;
I have two tables in MS Access that have the same Name_ID column, the only problem is that they differ slightly. Name_ID in table 1 looks like this:
Name_ID
Newton, Kate Little
River, Jane Armen
Barker, Bob Jep
Jake, Lee
And in table 2 it looks like this:
Name_ID
NEWTON, KATE L MD
RIVER, JANE A DO MS
BARKER, BOB J. (MD)
JAKE, LEE I.
I'm struggling with how to join the tables. I tried doing a join using like, based on Access/SQL Server 2008 Join using Like not working, but it's not working:
Select table1.*, table2.col from table1
left join
table2
on table1.Name_ID like '*' & table2.Name_ID & '*';
I also tried:
Select table1.*, table2.col from table1
left join
table2
on instr(table1.Name_ID, table2.Name_ID) > 0;
Both queries execute, but return blank columns. Any idea why it's not working, or a better way?
Both queries are looking for a full name string within another full name string. How would you expect Newton, Kate Little to match to *NEWTON, KATE L MD*? And for the second query, NEWTON, KATE L MD is not within Newton, Kate Little.
Probably best can do is extract last name part and match on that. Assumes names are not repeated and not multiple people with same last name and always last name followed by a comma.
SELECT Table1.Name_ID, Table2.Name_ID
FROM Table1 LEFT JOIN Table2
ON Table1.Name_ID LIKE Left(Table2.Name_ID, InStr(Table2.Name_ID,",")) & "*";
FYI I use Redshift SQL.
I have a database that looks roughly like the one below (the database has multiple columns that I'll abstract away for simplicity).
This table is a representation of the hierarchical tree within my organization.
employee manager
-------- -------
daniel louis
matt martha
martha kim
laura matt
michael martha
...
As you can see, matt appears in two distinct records, one as the employee and the other as laura's manager. Martha appears in three records, one as an employee and in two other as manager.
I'd like to find a way to compute the number of direct reports each employee has. A conditional count in which the criteria would be where employee = manager, perhaps?
I guess I could find this information using a subquery and then join it back but I was wondering if there was a more "elegant" way to do this making use of window functions maybe.
The expected output for the table above would be:
employee manager direct_reports
-------- ------- --------------
daniel louis 0
matt martha 1
martha kim 2
laura matt 0
michael martha 0
...
I would approach this with a correlated subquery:
select
t.employee,
t.manager,
(select count(*) from mytable t1 where t1.manager = t.employee) direct_reports
from mytable t
This should be a quite efficient method, especially with an index on (employee, manager).
Use a left join and aggregation:
select em.employee, em.manager, count(ew.employee)
from employees em left join
employees ew
on ew.manager = em.employee
group by em.employee, em.manager;
Due to the way a particular table is written I need to do something a little strange in SQL and I can't find a 'simple' way to do this
Table
Name Place Amount
Chris Scotland
Chris £1
Amy England
Amy £5
Output
Chris Scotland £1
Amy England £5
What I am trying to do is above, so the null rows are essentially ignored and 'grouped' up based on the Name
I have this working using For XML however it is incredibly slow, is there a smarter way to do this?
This is where MAX would work
select
Name
,Place = Max(Place)
,Amount = Max(Amount)
from
YourTable
group by
Name
Naturally, if you have more than one occurance of a place for a given name, you may get unexpected results.
I want to run a script on a SQL table that will search the table for the users supervisor and then replace the supervisor value with the fullname value. How can I do this? I am using MSSQL and have one table containing this data.
Before:
fullname,username,supervisor
Timothy Dalton,tdalton,rmoore
Pierce Brosnan,pbrosnan,rmoore
Sean Connery,sconnery,rmoore
Roger Moore,rmoore,dcraig
Daniel Craig,dcraig,
After script:
fullname,username,supervisor
Timothy Dalton,tdalton,Roger Moore
Pierce Brosnan,pbrosnan,Roger Moore
Sean Connery,sconnery,Roger Moore
Roger Moore,rmoore,Daniel Craig
Daniel Craig,dcraig,
Thanks
Try something like this
Update t1
set t1.supervisor = t2.Fullname
from YourTable t1
join YourTable t2 on t1.supervisor = t2.username
This code hasn't been tested ... so make sure to backup table before using it
Try with the below query.
Please note that below query will fail if there are multiple supervisors with same last name and first name starts with same character.
(for example if the supervisor is rmoore and there are Roger Moore and Royal Moore in full name,then the below query will update the supervisor with any of these names)
UPDATE y
SET y.supervisor=y1.fullname
FROM YourTable y
JOIN YourTable y1
ON y1.fullname like LEFT(y.supervisor,1)+'%'
AND LTRIM(RTRIM(SUBSTRING(y1.fullname,CHARINDEX(' ',y1.fullname),LEN(y1.fullname))))=LTRIM(RTRIM(SUBSTRING(y.supervisor,2,LEN(y.supervisor))))