I am working in SQL Server 2014. I have 2 columns in a table named Gallery Name and Address. Below is my sample data from this table.
Gallery Name Address
--------------------------------------------------------------
Boltelang Boltelang street 12, Paris
BERG Contemporary BERG Contemporary gorge ave, New York
Like this, I have a total of 207 records. Now the issue is that the data of column Gallery Name is being repeated in address column which I want to remove from address column. So it should be like this in
Gallery Name Adress
--------------------------------------------
Bltelang street 12, Paris
BERG Contemporary gorge ave, New York
I have no clue which function I can use in SQL Server to achieve this
Answer to your query is to use REPLACE like following.
UPDATE TABLE_NAME
SET [Address] = REPLACE([Address], [Gallery Name],'')
Note: In above query, REPLACE will replace all the occurrences of [Gallery Name] in [Address].
There can be scenario where you need to replace only the first occurance, not if it exists somewhere in the middle. In that case you can try like following.
UPDATE T SET [Address]=
LTRIM(STUFF([Address], CHARINDEX([Gallery Name], [Address]), LEN([Gallery Name]), ''))
from TABLE_NAME T
WHERE [Address] LIKE [Gallery Name] +'%'
I would go for:
update t
set address = stuff(address, 1, len(gallery_name) + 1, '')
where address like gallery_name + ' %';
These cover the examples in your question, where the gallery name is at the beginning of the address followed by a space. I am very conservative in making such changes. If you have another pattern, then you can run another update to fix those.
You want to be careful using REPLACE(), in case the address repeats the gallery name:
New York New York 10 New York Ave
Assuming it's only needed when the "Gallery Name" is at the start of the "Address".
To correct the addresses in the table
UPDATE [YourTable]
SET [Address] = LTRIM(REPLACE([Address], [Gallery Name],''))
WHERE [Address] LIKE CONCAT([Gallery Name],'%')
Related
Using SQL Server 2014 and the following data:
ID Address City State
1 55 Main St Dallas TX
2 4 Elm Blvd Cupertino CA
3 66 Walnut Miami FL
4 21 Main Ave Cupertino CA
I'm trying to use a contains query across multiple columns to find matches, but can't figure out the proper syntax. In this case, I have the query part:
CONTAINS ((Address, City, State), '"main" or "cupertino")
This returns rows #1, #2, & #4.
I can also try this:
CONTAINS ((Address, City, State), '"main" and "cupertino")
This doesn't return any rows.
What I'm trying to figure out though, is how I would return just row #4 using the search terms "main" and "cupertino" using a contains query.
So basically, I'm trying to do the following but with a contains query:
WHERE (Address LIKE '%main%' OR City LIKE '%main%' OR Zip LIKE '%main%') AND (Address LIKE '%cupertino%' OR City LIKE '%cupertino%' OR Zip LIKE '%cupertino%')
Thanks!
The expression is for CONTAINS() is computed on each each column independently (as you might have guessed). One solution is to try:
CONTAINS((Address, City, State), '"main"') AND
CONTAINS((Address, City, State), '"cupertino"')
The more conventional method is to add a computed column and use that for the indexing:
alter table t add acs as (Address + ' ' + City + ' ' + State) persisted;
Then build the index on that column.
I am using PL/SQL v7.1
I am trying to find all address records where the country name has been entered in one of the address line fields, and also the country field.
The problem is that the country details have not been entered consistently eg.
addr4 addr5 country
---------- ---------- ---------------
JERSEY UK(JERSEY)
IRELAND REPUBLIC OFIRELAND
DOUGLAS ISLE OF MAN UK(ISLE OF MAN)
So, I need to find the records where ANY PART of the Country field is also found in either addr4 or addr5.
I started with this
SELECT *
FROM test_addresses
WHERE addr4||addr5 LIKE '%'||country||'%'
I know this doesn't work because it will, taking the 1st record as an example, check if 'UK(JERESEY)' is found in addr4||addr5 and ,so, no match will be found. But how do I make it check if 'JERSEY' is found in addr4||addr5
Try this way:
SELECT *
FROM test_addresses
WHERE (addr4 is not null and country like '%'||addr4||'%')
or (addr5 is not null and country like '%'||addr5||'%')
Sql Fiddle Demo
I don't know so much about plsql
but I think your query is backwards, try this.
SELECT *
FROM test_addresses
WHERE country LIKE '%'||addr4||'%'
or country LIKE '%'||addr5||'%'
I have a column called NAME, I have 2000 rows in that column that are filled with people's full names, e.g. ANN SMITH. How do I do a query that will list all the people whose first name is ANN? There are about 20 different names whose first name is ANN but the surname is different.
I tried
and (NAME = 'ANN')
but it returned zero results.
I have to enter the FULL name and (NAME = 'ANN SMITH') ANN SMITH to even get a result .
I just want to list all the people with there first name as ANN
Try in your where clause:
Where Name like 'ANN %'
Should work mate.
ANN% will find all results where ANN is first then anything after.
%ANN% will find the 3 letters ANN in any part of that rows field.
Hope it helps
Also usually Name is separated into First names and second name columns.
this will save Having to use wild cards in your SQL and provide A bit more normalized data.
SELECT NAME
FROM NAMES
WHERE NAME LIKE 'ANN %'
This should wildcard select anything that begins with 'ANN' followed by a space.
I need to run a query that would pull information from a field that has 2 types of data .
Field is address and has 123 avenue as data and bb#yahoo.com.
I need to make 2 fields one for email and one STaddress from table customer and field address?
anyone can i assis..
its access and vb query
I thought of this
Select customer.address from customer where address like "#"
but still i need to display the the data of address field to 2 different fields...
Here is the query that fetches the two different fields:
select iif(field like '*#*', field, NULL) as email,
iif(field like '*#*, NULL, field) as address
from t
The usage of like in Access is a bit different from other databases.
I would suggest that you create a view with this logic. If you actually want to modify the table, you will have to add columns and populate them with logic like the above.
Based on this question and your duplicate question, I understand your table has a field which includes both the street address and email address and you want to split those into separate fields.
So your table includes this ...
YourField
------------------------------
1234 ave willie haha#yahoo.com
123 avenue bb#yahoo.com
And you want this ...
YourField street_address email_address
------------------------------ --------------- --------------
1234 ave willie haha#yahoo.com 1234 ave willie haha#yahoo.com
123 avenue bb#yahoo.com 123 avenue bb#yahoo.com
If that is correct, you can use the InstrRev() function to determine the position of the last space in YourField. Everything before the last space is the street address; everything after is the email address.
SELECT
y.YourField,
Left(y.YourField, InstrRev(y.YourField, ' ') -1) AS street_address,
Mid(y.YourField, InstrRev(y.YourField, ' ') +1) AS email_address
FROM YourTable AS y;
You may need to add a WHERE clause to ensure the query only tries to evaluate rows which include your expected YourField value patterns.
Try something like this:
select *,
(case locate('#', address) when 0 then null else address) as email,
(case locate('#', address) when 0 then address else null) as street
from table;
You'd probably need to adjust the name of "locate" function - I'm not sure if it is the same in access database.
If you have a street address and then an email address in the same field, and want to split them, then use this.
We'll call your original field Addy, and the new fields Street & Email.
SELECT Left(Addy, InStrRev(Addy, " ", InStr(Addy, "#")) - 1) AS Street, mid(Addy, InStrRev(Addy, " ", InStr(Addy, "#")) + 1) AS Email.
What this does is look for the #, then go backwards and look for the first space. The first function takes every left of that space and calls it Street, while the second function takes everything to the right.
The function is really 3 functions nested together. To really understand what it's doing, I'll dissect it.
I = InStr(Addy, "#")
J = InStrRev(Addy, " ", I)
Street = Left(Addy,J-1)
For example I got this 2 table
dbo.fc_states
StateId Name
6316 Alberta
6317 British Columbia
and dbo.fc_Query
Name StatesName StateId
Abbotsford Quebec NULL
Abee Alberta NULL
100 Mile House British Columbia NULL
Ok pretty straightforward , how do I copy the stateId over from fc_states to fc_Query, but match it with the StatesName, let say the result would be
Name StatesName StateId
Abee Alberta 6316
100 Mile House British Columbia 6317
Thanks, and both stateName column type is text
How about:
update fc_Query set StateId =
(select StateId from fc_states where fc_states.Name = fc_Query.StatesName)
That should give you the result you're looking for.
This is a different way than what Eddie did, I like MERGE for updates if they're not dead simple (like I wouldn't consider yours dead simple). So if you're bored/curious also try
WITH stateIds as
(SELECT name, MAX(stateID) as stID
FROM fc_states
GROUP BY name)
MERGE fc_Query
on stateids.name = fc_query.statesname
WHEN MATCHED THEN UPDATE
SET fc_query.stateid = convert(int, stid)
;
The first part, from "WITH" to the GROUP BY NAME), is a CTE, that creates a table-like thing - a name 'stateIds' that is good as a table for the immediately following part of the query - where there's guaranteed to be only one row per state name. Then the MERGE looks for anything in the fc_query with a matching name. And if there's a match, it sets it as you want. YOu can make a small edit if you don't want to overwrite existing stateids in fc_query:
WITH stateIds as
(SELECT name, MAX(stateID) as stID
FROM fc_states
GROUP BY name)
MERGE fc_Query
ON stateids.name = fc_query.statesname
AND fc_query.statid IS NOT NULL
WHEN MATCHED THEN UPDATE
SET fc_query.stateid = convert(int, stid)
;
And you can have it do something different to rows that don't match. So I think MERGE is good for a lot of applications. You need a semicolon at the end of MERGE statements, and you have to guarantee that there will only be one match or zero matches in the source (that is "stateids", my CTE) for each row in the target; if there's more than one match some horrible thing happens, Satan wins or the US economy falters, I'm not sure what, just never let it happen.