Remove substring between two characters in SQL Column

Question

Lets say I have a table T with a column called S

Code	S
1	\String\ String
2	Laser \Laser\
3	La\ser\s and \S\trings

I want to remove every substring in each row of T.S that is between \ and \ and replace it with nothing such that Table T becomes

Code	S
1	string
2	Laser
3	Las and trings

I have figured out how to identify the characters between the first instance of \ and \

IF OBJECT_ID(N'tempdb..#t') IS NOT NULL
BEGIN -- Checking to ensure temp table does not exist, and dropping anyone that does to avoid errors

    DROP TABLE #t;
END;

GO

--- Create Temp Table to store values and manipulate before inserting into production table ----

CREATE TABLE #t
(
Code VARCHAR(MAX)
,S VARCHAR(MAX)
);

INSERT INTO #t (Code ,S )
VALUES ('1','\String\ String'),
        ('2','Laser \Laser\'),
        ('3', 'La\ser\s and \S\trings')
SELECT *
FROM   #t;


SELECT REPLACE(REPLACE(SUBSTRING(s, start_pos,  end_pos - start_pos  
    +1), '\', '\'), '\', '\')

FROM   (SELECT s,
               CHARINDEX('\', s) AS start_pos, 
               CHARINDEX('\', s, CHARINDEX('\', s) + 1) AS end_pos
        FROM   #t) t 

This returns

S
\String\
\Laser\
\ser\

Where I am stuck is on

1. How do I get it to apply to all instances of \ \ in the same line individually (see line 3)

2. Apply this change to the column in an update (I'm thinking a cross apply might be useful here)

Answer 1

If this were SQL Server 2022 (or later) we could:

1. Use STRING_SPLIT(,,1) to break up the string at the \ delimiters and assign each part an ordinal value.
2. Filter out the even substrings (leaving the odd).
3. Reassemble the remaining parts using STRING_AGG().
4. Add a TRIM() to clean up leading or trailing whitespace.

Something like:

SELECT
    T.Code,
    TRIM(STRING_AGG(SS.value, '') WITHIN GROUP(ORDER BY SS.ordinal)) AS Answer
FROM #t T
CROSS APPLY STRING_SPLIT(T.S, '\', 1) SS
WHERE SS.ordinal % 2 != 0 -- Keep the odd parts
GROUP BY T.Code

The third parameter of STRING_SPLIT() generates an ordinal along side each value (available in SQL Server 2022 and later). This is referenced in the WITHIN GROUP(...) clause of the STRING_AGG() function to guarantee the proper ordering or the reassembled components.

If this is part of a more complicated query, you can encapsulate the logic within a CROSS APPLY whose result can then be referenced elsewhere.

SELECT
    T.Code,
    CA.Answer
FROM #t T
CROSS APPLY (
    SELECT TRIM(STRING_AGG(SS.value, '') WITHIN GROUP(ORDER BY SS.ordinal)) AS Answer
    FROM STRING_SPLIT(T.S, '\', 1) SS
    WHERE SS.ordinal % 2 != 0 -- Keep the odd parts
) CA
ORDER BY T.Code

For SQL Server 2019, the STRING_SPLIT() function does not support the enable_ordinal option, so this function cannot be used when we need to guarantee order. An alternative is to use a technique that first maps the string into a JSON array, and then uses OPENJSON() to parse that array.

SELECT
    T.Code,
    CA.Answer
FROM #t T
CROSS APPLY (
    SELECT TRIM(STRING_AGG(SS.value, '') WITHIN GROUP(ORDER BY SS.ordinal)) AS Answer
    FROM (
        SELECT J.value, CONVERT(int, [key]) + 1 AS ordinal
        FROM OPENJSON(CONCAT('["', REPLACE(STRING_ESCAPE(T.S, 'json'), '\\', '","'), '"]')) J
    ) SS
    WHERE SS.ordinal % 2 != 0 -- Keep the odd parts
) CA
ORDER BY T.Code

The above will convert the source string into a JSON array that is then parsed into individual elements by OPENJSON(). The STRING_ESCAPE() function protects the JSON against certain special characters (particularly any embedded double quotes) that would otherwise cause an error. The key value returned by OPENJSON() above is a zero-based string that must be converted to an integer and offset by 1 to match the STRING_SPLIT() ordinal.

NOTE: There are several STRING_SPLIT() alternatives out there, but few yield a reliable ordinal value. (There are actually several bad answers out there that use post-split numbering logic that appears to work, but whose results are not guaranteed by any documented feature, and which may break at any time - especially when scaled up.)

The results are the same for each of the above:

Code	Answer
1	String
2	Laser
3	Las and trings

See this db<>fiddle for a demo.

An update in place can be performed with the following:

UPDATE T
SET S = CA.Answer
FROM #t T
CROSS APPLY (
    SELECT TRIM(STRING_AGG(SS.value, '') WITHIN GROUP(ORDER BY SS.ordinal)) AS Answer
    FROM (
        SELECT J.value, CONVERT(int, [key]) + 1 AS ordinal
        FROM OPENJSON(CONCAT('["', REPLACE(STRING_ESCAPE(T.S, 'json'), '\\', '","'), '"]')) J
    ) SS
    WHERE SS.ordinal % 2 != 0 -- Keep the odd parts
) CA

Or if you prefer to include the calculation directly in the select statement:

UPDATE T
SET S = (
    SELECT TRIM(STRING_AGG(SS.value, '') WITHIN GROUP(ORDER BY SS.ordinal))
    FROM (
        SELECT J.value, CONVERT(int, [key]) + 1 AS ordinal
        FROM OPENJSON(CONCAT('["', REPLACE(STRING_ESCAPE(T.S, 'json'), '\\', '","'), '"]')) J
    ) SS
    WHERE SS.ordinal % 2 != 0 -- Keep the odd parts
)
FROM #t T

See this updated db<>fiddle.