I read the similar issue shared on stack overflow regarding DELETE command is not execute a query.
I am a beginner level on SQL and was trying to understand identity column action so I created a super basic studentinfo table and put firstname, lastname, and id columns.
ID selected as identity column and incremental is setup 5. That is the summary of the table. And created couple rows for the table.
Now when I execute DELETE FROM StudentInfo WHERE StudentId like '0213422' returns 0 rows affected and of course not deleting that row.
Anyone tell why is that happening?
Thanks in advance
You can either use:
where StudentId like '%0213422%'
or
where StudentId = '0213422'
Like can be used with placeholders like '%' or '_'
'%' - indicates that there could be multiple characters in the placeholder.
'_' - indicates that there is exactly one character as a placeholder
ID | Stuff
1 | Foobar
2 | Fobar
where Stuff like 'F%bar' --would return both row
where Stuff like 'F_bar' --would retun only the second row
Normally an identity column is type bigint or int and contains simply spoken just numbers. So I wonder that a value can have a leading 0.
I suggest to use a select statement first to see, what is in the result set like
Select * FROM Studentinfo WHERE StudentId like '%213422'
or
Select * FROM Studentinfo WHERE StudentId >=213422
Related
I have table with data like this:
Id | StringValue
----+-------------
1 | 4,50
2 | 90,40
I will get input StringValue like 4. I need to fetch the data exact matched record. When I am using LIKE operator, select query is returning two rows, but I need exact matched data record only.
Can anybody please help me with this?
SELECT *
FROM Table1
WHERE StringValue like '%4%'
But that returns two rows - both ID 1 and 2.
My expectation is I need to get ID = 1 row only
Storing delimited data like this is a well documented anti-pattern, violates basic normalisation principles and prevents the database engine from fully utilising an index.
What you can do is delimit your search value and also ensure the expression to search is correctly delimited; this is an unsargable expression however and the strorage engine will have to scan all rows every time -
declare #valueToFind varchar(10) = '4';
select *
from t
where Concat(',', t.StringValue, ',') like Concat('%,' #valueToFind, ',%');
for SQL Server 2016 and later you can use STRING_SPLIT or earlier version of SQL Server, there are many alternative, just do a search for it.
Or, you can simply do
SELECT * FROM Table1 where ',' + StringValue + ',' like '%,4,%'
i have a table column looks like below.
what is the sql query statement i can use to have multiple partial match conditions?
search by ID or Name
if search abc then list the row A1 , row A2
if search test then list the row A1 , row A2, row 3
if search ghj then list the row A2
i was trying this but nothing return:
SELECT * FROM table where colB LIKE '"ID":"%abc%"'
updating data in text
{"ItemId":"123","IDs":[{"ID":"abc","CodingSystem":"cs1"}],"Name":"test itemgh"}
{"ItemId":"123","IDs":[{"ID":"ghj","CodingSystem":"cs1"}],"Name":"test abc"}
{"ItemId":"123","IDs":[{"ID":"defg","CodingSystem":"cs1"}],"Name":"test 111"}
JSON parsing
Oracle
Looked into the JSON parsing capabilities of Oracle and I managed to make running a query like this:
select * from table t where json_exists(t.colB, '$.IDs[?(#.ID=="abc")]') or json_exists(t.colB, '$.IDs?(#.name=="abc"')
And inside the same JSON query expression:
select * from table t where json_exists(t.colB, '$.IDs[?(#.ID=="abc" || #.name=="abc")]')
The call of function json_exists() is the key to this.
The first parameter can be a VARCHAR2, and I also tried with a BLOB containing text, and it works.
The second parameter is the path to your json object attribute that needs to be tested, with the condition.
I wrote two ORed conditions for the ID and for the Name, but maybe there is a better JSON query expression you can use to include them both.
More information about json_exists() function here.
Postgres
There is a JSON datatype in Postgres that supports parsing in queries.
So, if your colB column is declared as JSON you can do something like this:
select * from table where colB->>'Name' LIKE '%abc%';
And in order to have available the array elements of the IDs array, you should use the function json_array_elements().
select * from table, json_array_elements(colB->'IDs') e where colB->>'Name' LIKE '%abc%' or e->>'ID' = 'abc';
Check an example I created for you here.
Here is an online tool for online testing your JSON queries.
Check also this question in SO.
MSSQL Server 2017
I made a couple of tests also with MS SQL Server, and I managed to create an example searching for partial matching in the name field.
select * from table where JSON_VALUE(colB,'$.Name') LIKE '%abc%';
And finally I arrived to a working query that does partial match to the Name field and full match to the ID field like this:
select * from table t
CROSS APPLY OPENJSON(colB, '$.IDs') WITH (
ID VARCHAR(10),
CodingSystem VARCHAR(10)
) e
where JSON_VALUE(t.colB,'$.Name') LIKE '%abc%'
or e.ID = 'abc';
The problem is that we need to open the IDs array, and make something like a table from it, that can be queried also by accessing its columns.
The example I created is here.
LIKE text query
Your tries are good but you misplace the % symbols. They have to be first and last in your given string:
If you want the ID to be the given value:
SELECT * FROM table where colB LIKE '%"ID":"abc"%'
If the given value can be anywhere, then don't put the "ID" part:
SELECT * FROM table where colB LIKE '%abc%'
If the given value can be only on the ID or Name field then:
SELECT * FROM table where colB LIKE '%"ID":"abc"%' OR colB LIKE '%"Name":"abc"%'
And because you are giving hard-coded identifiers of fields (eg ID and Name) that can be in variable case:
SELECT * FROM table where lower(colB) LIKE '%"id":"abc"%' OR lower(colB) LIKE '%"name":"abc"%'
Assuming that the number of spaces do not vary between the : character and the value or the name of the properties.
For partial matching you can use more % in between like '%"name":"%abc%"%':
SELECT * FROM table where lower(colB) LIKE '%"id":"abc"%' OR lower(colB) LIKE '%"name":"%abc%"%'
Regular Expressions
A different option would be to test with regular expressions.
Consider checking this: Oracle extract json fields using regular expression with oracle regexp_substr
Maybe there is a better method before I get to this step, but is there an easy way to match on one field, if it matches remove part of the match from a string in a second field.
TABLE example
ID | ID LIST
-----|---------
ID07 |ID05;ID06;ID07;ID08
This is just a one record example so ID and ID LIST will vary.
I'm looking to join and update/ replace the "nothing" or perhaps add a value to remove later.
Result I'm looking for
ID | ID LIST
-----|---------
ID07 |ID05;ID06;ID08
Is there any easy way to do this or should I go about this another way? I know some people would use a WHERE IN, but ID is going to vary. Maybe WHERE IN that field name. I'm a little confused conceptualizing this.
I'm using SQL Server MGMT studio.
You can use replace function .. if id is in id_list is replaced with empty string
select replace(ID_LIST, ID +';', '')
from your_table;
UPDATE TABLE
SET ID_LIST = CASE WHEN ID_LIST = ID THEN ''
WHEN ID_LIST LIKE ID + ';%' THEN SUBSTRING(ID_LIST, LEN(ID)+1, LEN(ID_LIST)-LEN(ID)-1)
WHEN ID_LIST LIKE '%;' + ID THEN LEFT(ID_LIST, LEN(ID_LIST)-LEN(ID)-1)
ELSE REPLACE(ID_LIST, ';'+ID+';', ';')
END
WHERE ';'+ID_LIST+';' LIKE '%;'+ID+';%'
I would like to return the ids which have been deleted by a DELETE query.
On Stackoverlow, I found this:
How to get ID of the last updated row in MySQL?
The top1 answer has a very nice solution, but it's for mysql. I tried to do the same in Firebird after reading some part of the Firebird manual:
set term ^ ;
EXECUTE BLOCK
AS
DECLARE VARIABLE uids BLOB SUB_TYPE TEXT;
begin
DELETE FROM CATEGORY WHERE name = 'Haló'
AND ( SELECT id INTO :uids );
SELECT #uids;
end
^
Yes, I know that 'uids' will always contain one ID, since I'm overwriting the variable, but it's only a test, and what is more, it doesn't work. It stops at 'INTO' saying "Token unknown - line 8, column 21". I don't know what to do, what to continue with.. :\
Thanks for Your help!
For this, please run separate queries
First fetch the record ids those you want to delete by the same where condition for DELETE
like, SELECT ID FROM CATEGORY WHERE name = 'Haló'
Then delete the records
you could try the "RETURNING" clause, like this:
delete from Scholars
where firstname = 'Henry' and lastname = 'Higgins'
returning lastname, fullname, id
look here for more details
I want to write a query in T-SQL to perform a search on two concatenated columns. The two columns are fname and lname. Here is what I have so far:
SELECT
fname,
lname,
...
FROM
users
JOIN
othertable ON foo=bar
WHERE
fname+' '+lname LIKE '%query%'
SQL server doesn't like that syntax, though. How do I structure the query so that I can perform a WHERE LIKE operation that searches through two concatenated columns, allowing me to search the user's full name, rather than just first name and last name individually?
I can only suggest that one of fname or lname is NULL so the LIKE fails., (NULL concat anything is null)
Try
...
ISNULL(fname, '') + ' ' + ISNULL(lname, '') LIKE '%query%'
However, I would use a computed column and consider indexing it because this will run awfully.
My suggestion is to add a calculated column to your table for full_name
calculated column examples:
--drop table #test
create table #test (test varchar (10) , test2 varchar (5),[Calc] AS right(test, 3))
Insert #test
values('hello', 'Bye')
Insert #test
values('hello-bye', null)
Alter table #test
add [MyComputedColumn] AS substring(test,charindex('-',test), len(test)),
Concatenatedcolum as test+ ' ' +test2
select * from #test
As you can see you may have to play around a bit until you get the results you want. Do that in a temp table first to avoid having to restructure the database table multiple times. For names, especially if you are using middle name which is often blank, you may need to add some code to handle nulls. You may also need to have code sometimes to cast to the same datatype if one filed you are concatenating is an int for instance and the other a varchar.
I think one of the join conditions might be causing a problem. Try rewriting it, you may find the error goes away ;)