I am wondering what the literal for a Null character (e.g. '\0') is in TSQL.
Note: not a NULL field value, but the null character (see link).
I have a column with a mix of typical and a null character. I'm trying to replace the null character with a different value. I would have thought that the following would work but it is unsuccessfull:
select REPLACE(field_with_nullchar, char(0), ',') from FOO where BAR = 20
There are two different behaviors in the Cade Roux's answer: replacement is successful (when SQL collation is used) and unsuccessful (Windows collation is used). The reason is in type of collation used.
This behaviour was submitted to Microsoft nearly 4 years ago:
Q: When trying a replace a NUL character
with replace(), this works is the
value has an SQL collation, but not a
Windows collation.
A: This is due to the fact that 0x0000
is an undefined character in Windows
collations. All undefined characters
are ignored during comparison, sort,
and pattern matching. So searing for
'a' + char(0) is really searching for
‘a’, and searching for char(0) is
equivalent to empty string.
The way to handle undefined character
is a bit confusing, but this is the
way that Windows defined to sort them,
and SQL Server conforms with the
general Windows API.
In SQL collation, there is no notion
of undefined character. Each code
point is assigned a weight, that's why
we don't see a problem there.
but unfortunately, it is still undocumented.
So, it seems the only one solution is to change collation to SQL collation (e.g. SQL_Latin1_General_CP1_CI_AS may be used as well).
* I removed my previous answer as unnecessary
Looks like the C-style terminator is a terminator in SQL as well:
SELECT REPLACE(bad, CHAR(0), ' ')
FROM (
SELECT 'a' + CHAR(0) + 'b' AS bad
) AS X
Looks like it's also dependent on COLLATION:
SELECT REPLACE(CAST(bad COLLATE SQL_Latin1_General_CP1_CI_AS AS varchar(10)), CHAR(0), ' ')
FROM (
SELECT 'a' + CHAR(0) + 'b' AS bad
) AS X
works as expected, compared to:
SELECT REPLACE(CAST(bad COLLATE Latin1_General_CI_AS AS varchar(10)), CHAR(0), ' ')
FROM (
SELECT 'a' + CHAR(0) + 'b' AS bad
) AS X
A VARBINARY cast should work with any collation
SELECT
REPLACE(CAST(CAST(fld AS VARCHAR(5)) AS VARBINARY(5)), 0x0, ',')
FROM
(SELECT 'QQ' + CHAR(0) + 'WW' COLLATE Latin1_General_CI_AS AS fld) AS T
SELECT
REPLACE(CAST(CAST(fld AS VARCHAR(5)) AS VARBINARY(5)), 0x0, ',')
FROM
(SELECT 'QQ' + CHAR(0) + 'WW' COLLATE SQL_Latin1_General_CP1_CI_AS AS fld) AS T
>>QQ,WW
>>QQ,WW
I just ran the test below on my server (2008) and it was successful. It may have to do with an ANSI setting. I'll try flipping some settings here and see if I can reproduce your issue.
DECLARE #test_null_char VARCHAR(20)
SET #test_null_char = 'aaa' + CHAR(0) + 'bbb'
SELECT #test_null_char -- Returns "aaa bbb"
SET #test_null_char = REPLACE(#test_null_char, CHAR(0), 'ccc')
SELECT #test_null_char -- Returns "aaacccbbb"
Are you certain they are null characters? How did you get them in there?
It looks like SQL Server treats them as string terminators. This query:
select 'aaa' + char(0) + 'bbb'
Returns aaa for me (on SQL Server 2008).
Edit: Above is wrong - it's just the results grid that treats them that way. They show up in text mode.
I was having the same issue and using nullif solved it for me.
Select nullif(field_with_nullchar,'') from FOO where BAR = 20
Related
How can I select only strings in the format XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX where X is any number or any UPPERcase (not lowercase) character?
Example dataset:
ed54cb09-b402-4551-912d-b8e0fec69d9e --I do not want to select this one
00029B19-80CC-4FF8-BE11-BDB55FC7FC2A --I do want to select this one
Some are all-caps, some are not, and this is a varchar field. I want to select only these all-caps UUIDs, excluding the rest.
Currently I'm using the _ wildcard to look for the basic UUID format, but looks like UPPER doesn't apply to the _ wildcard. Ex.:
SELECT mycolumn
FROM mytable t
WHERE t.mycolumn like UPPER('________-____-____-____-____________') COLLATE SQL_Latin1_General_Cp1_CS_AS
As mentioned, you can first check its all uppercase by comparing upper of your value with itself using a case sensitive collation. And then use your wildcard pattern (or a more precise one as shown below) to confirm the format is correct.
select
-- Precise check on allowed characters
case when upper(X.Test) = X.Test collate Latin1_General_CS_AI
and X.Test like '[A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9]-[A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9]-[A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9]-[A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9]-[A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9][A-Z0-9]' then 1 else 0 end
-- Loose check on allowed character, but definitely upper case
, case when upper(X.Test) = X.Test collate Latin1_General_CS_AI
and X.Test like '________-____-____-____-____________' then 1 else 0 end
-- Not sure why HABO deleted their answer, but the following works also
, case when upper(X.Test) = X.Test collate Latin1_General_CS_AI
and try_convert(uniqueidentifier,X.Test) is not null then 1 else 0 end
-- And combining Shmiel's and Charleface's suggestions gives
, case when X.Test like replicate('[A-F0-9]', 8) + '-' + replicate('[A-F0-9]', 4) + '-' + replicate('[A-F0-9]', 4) + '-' + replicate('[A-F0-9]', 4) + '-' + replicate('[A-F0-9]', 12) collate Latin1_General_100_BIN2 then 1 else 0 end
from (
values ('ed54cb09-b402-4551-912d-b8e0fec69d9e'), ('00029B19-80CC-4FF8-BE11-BDB55FC7FC2A')
) X (Test);
I have to echo Larnu's comment here, that it seems quite an odd requirement which might be better solved by a system change elsewhere.
I have two columns having data like below.
Column1
AMC Standard, School
Column2
AMC Standard School.
In need to compare these two columns such that comparison is made for the words only and not for any additional, meaning from the above example Column1 and ColumnC are match but due to the Comma ",' and the period sign "." the simple comparison of Column1 and Column2 suggests it as a mismatch.
you can replace the non comparable characters to empty string (in your case , and .)and then compare them. Something like this.
SELECT 1 WHERE REPLACE('AMC Standard, School',',','') = REPLACE('AMC Standard School.','.','')
Based on jarlh comments, You should (if possible) update the columns and remove the punctuation marks if they are not using in any comparison and display.
One option is to use SQL Servers SoundEx() and Difference() functions (https://msdn.microsoft.com/en-us/library/ms187384.aspx and https://msdn.microsoft.com/en-us/library/ms188753.aspx respectively)
DECLARE #val1 varchar(50) = 'AMC Standard, School'
, #val2 varchar(50) = 'AMC Standard School.'
;
SELECT #val1
, #val2
, SoundEx(#val1)
, SoundEx(#val2)
, Difference(SoundEx(#val1), SoundEx(#val2))
;
The return value of Difference() is between 0 and 4, with a higher number signifying a closer match.
IMPORTANT NOTE: This type of comparison is not as exacting as a method that cleans up your data beforehand as in those scenarios you can use an exact (a=a) comparison, whereas this method looks for similar values.
Try like this
DECLARE #column1 VARCHAR(100)='AMC Standard, School (Near to ABC Building)'
DECLARE #column2 VARCHAR(100)='AMC Standard, School (Opposite KFC)'
SELECT 'MATCHED' AS COLUMN_COMPARE
WHERE replace(replace(replace(#column1, ',', ''), '.', ''), substring(#column1, CHARINDEX('(', #column1), CHARINDEX(')', #column1) - 1), '') = replace(replace(replace(#column2, ',', ''), '.', ''), substring(#column2, CHARINDEX('(', #column2), CHARINDEX(')', #column2) - 1), '')
I have a field called zip, type char(5), which contains zip codes like
12345
54321
ABCDE
I'd like to check with an sql statement if a zip code contains numbers only.
The following isn't working
SELECT * FROM S1234.PERSON
WHERE ZIP NOT LIKE '%'
It can't work because even '12345' is an "array" of characters (it is '%', right?
I found out that the following is working:
SELECT * FROM S1234.PERSON
WHERE ZIP NOT LIKE ' %'
It has a space before %. Why is this working?
If you use SQL Server 2012 or up the following script should work.
DECLARE #t TABLE (Zip VARCHAR(10))
INSERT INTO #t VALUES ('12345')
INSERT INTO #t VALUES ('54321')
INSERT INTO #t VALUES ('ABCDE')
SELECT *
FROM #t AS t
WHERE TRY_CAST(Zip AS NUMERIC) IS NOT NULL
Using answer from here to check if all are digit
SELECT col1,col2
FROM
(
SELECT col1,col2,
CASE
WHEN LENGTH(RTRIM(TRANSLATE(ZIP , '*', ' 0123456789'))) = 0
THEN 0 ELSE 1
END as IsAllDigit
FROM S1234.PERSON
) AS Z
WHERE IsAllDigit=0
DB2 doesnot have regular expression facility like MySQL REGEXP
USE ISNUMERIC function;
ISUMERIC returns 1 if the parameter contains only numbers and zero if it not
EXAMPLE:
SELECT * FROM S1234.PERSON
WHERE ISNUMERIC(ZIP) = 1
Your statement doesn't validate against numbers but it says get everything that doesn't start with a space.
Let's suppose you ZIP code is a USA zip code, composed by 5 numbers.
db2 "with val as (
select *
from S1234.PERSON t
where xmlcast(xmlquery('fn:matches(\$ZIP,''^\d{5}$'')') as integer) = 1
)
select * from val"
For more information about xQuery:fn:matches: http://pic.dhe.ibm.com/infocenter/db2luw/v10r5/topic/com.ibm.db2.luw.xml.doc/doc/xqrfnmat.html
mySql does not have a native isNumberic() function. This would be pretty straight-forward in Excel with the ISNUMBER() function, or in T-SQL with ISNUMERIC(), but neither work in MySQL so after a little searching around I came across this solution...
SELECT * FROM S1234.PERSON
WHERE ZIP REGEXP ('[0-9]')
Effectively we're processing a regular expression on the contents of the 'ZIP' field, it may seem like using a sledgehammer to crack a nut and I've no idea how performance would differ from a more simple approach but it worked and I guess that's the point.
I have made more error-prone version based on the solution https://stackoverflow.com/a/36211270/565525, added intermedia result, some examples:
select
test_str
, TRIM(TRANSLATE(replace(trim(test_str), ' ', 'x'), 'yyyyyyyyyyy', '0123456789'))
, case when length(TRIM(TRANSLATE(replace(trim(test_str), ' ', 'x'), 'yyyyyyyyyyy', '0123456789')))=5 then '5-digit-zip' else 'not 5d-zip' end is_zip
from (VALUES
(' 123 ' )
,(' abc ' )
,(' a12 ' )
,(' 12 3 ')
,(' 99435 ')
,('99323' )
) AS X(test_str)
;
The result for this example set is:
TEST_STR 2 IS_ZIP
-------- -------- -----------
123 yyy not 5d-zip
abc abc not 5d-zip
a12 ayy not 5d-zip
12 3 yyxy not 5d-zip
99435 yyyyy 5-digit-zip
99323 yyyyy 5-digit-zip
Try checking if there's a difference between lower case and upper case. Numerics and special chars will look the same:
SELECT *
FROM S1234.PERSON
WHERE UPPER(ZIP COLLATE Latin1_General_CS_AI ) = LOWER(ZIP COLLATE Latin1_General_CS_AI)
Here's a working example for the case where you'd want to check zip codes in a range. You could use this code for inspiration to make a simple single post code check, if you want:
if local_test_environment?
# SQLite supports GLOB which is similar to LIKE (which it only has limited support for), for matching in strings.
where("(zip_code NOT GLOB '*[^0-9]*' AND zip_code <> '') AND (CAST(zip_code AS int) >= :range_start AND CAST(zip_code AS int) <= :range_finish)", range_start: range_start, range_finish: range_finish)
else
# SQLServer supports LIKE with more advanced matching in strings than what SQLite supports.
# SQLServer supports TRY_PARSE which is non-standard SQL, but fixes the error SQLServer gives with CAST, namely: Conversion failed when converting the nvarchar value 'US-19803' to data type int.
where("(zip_code NOT LIKE '%[^0-9]%' AND zip_code <> '') AND (TRY_PARSE(zip_code AS int) >= :range_start AND TRY_PARSE(zip_code AS int) <= :range_finish)", range_start: range_start, range_finish: range_finish)
end
Use regex.
SELECT * FROM S1234.PERSON
WHERE ZIP REGEXP '\d+'
Is there an equivalent to IsDate or IsNumeric for uniqueidentifier (SQL Server)?
Or is there anything equivalent to (C#) TryParse?
Otherwise I'll have to write my own function, but I want to make sure I'm not reinventing the wheel.
The scenario I'm trying to cover is the following:
SELECT something FROM table WHERE IsUniqueidentifier(column) = 1
SQL Server 2012 makes this all much easier with TRY_CONVERT(UNIQUEIDENTIFIER, expression)
SELECT something
FROM your_table
WHERE TRY_CONVERT(UNIQUEIDENTIFIER, your_column) IS NOT NULL;
For prior versions of SQL Server, the existing answers miss a few points that mean they may either not match strings that SQL Server will in fact cast to UNIQUEIDENTIFIER without complaint or may still end up causing invalid cast errors.
SQL Server accepts GUIDs either wrapped in {} or without this.
Additionally it ignores extraneous characters at the end of the string. Both SELECT CAST('{5D944516-98E6-44C5-849F-9C277833C01B}ssssssssss' as uniqueidentifier) and SELECT CAST('5D944516-98E6-44C5-849F-9C277833C01BXXXXXXXXXXXXXXXXXXXXXXXXXXXXX' as uniqueidentifier) succeed for instance.
Under most default collations the LIKE '[a-zA-Z0-9]' will end up matching characters such as À or Ë
Finally if casting rows in a result to uniqueidentifier it is important to put the cast attempt in a case expression as the cast may occur before the rows are filtered by the WHERE.
So (borrowing #r0d30b0y's idea) a slightly more robust version might be
;WITH T(C)
AS (SELECT '5D944516-98E6-44C5-849F-9C277833C01B'
UNION ALL
SELECT '{5D944516-98E6-44C5-849F-9C277833C01B}'
UNION ALL
SELECT '5D944516-98E6-44C5-849F-9C277833C01BXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'
UNION ALL
SELECT '{5D944516-98E6-44C5-849F-9C277833C01B}ssssssssss'
UNION ALL
SELECT 'ÀD944516-98E6-44C5-849F-9C277833C01B'
UNION ALL
SELECT 'fish')
SELECT CASE
WHEN C LIKE expression + '%'
OR C LIKE '{' + expression + '}%' THEN CAST(C AS UNIQUEIDENTIFIER)
END
FROM T
CROSS APPLY (SELECT REPLACE('00000000-0000-0000-0000-000000000000', '0', '[0-9a-fA-F]') COLLATE Latin1_General_BIN) C2(expression)
WHERE C LIKE expression + '%'
OR C LIKE '{' + expression + '}%'
Not mine, found this online... thought i'd share.
SELECT 1 WHERE #StringToCompare LIKE
REPLACE('00000000-0000-0000-0000-000000000000', '0', '[0-9a-fA-F]');
SELECT something
FROM table1
WHERE column1 LIKE '[0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F]-[0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F]-[0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F]-[0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F]-[0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F]';
UPDATE:
...but I much prefer the approach in the answer by #r0d30b0y:
SELECT something
FROM table1
WHERE column1 LIKE REPLACE('00000000-0000-0000-0000-000000000000', '0', '[0-9a-fA-F]');
I am not aware of anything that you could use "out of the box" - you'll have to write this on your own, I'm afraid.
If you can: try to write this inside a C# library and deploy it into SQL Server as a SQL-CLR assembly - then you could use things like Guid.TryParse() which is certainly much easier to use than anything in T-SQL....
A variant of r0d30b0y answer is to use PATINDEX to find within a string...
PATINDEX('%'+REPLACE('00000000-0000-0000-0000-000000000000', '0', '[0-9a-fA-F]')+'%',#StringToCompare) > 0
Had to use to find Guids within a URL string..
HTH
Dave
Like to keep it simple. A GUID has four - in it even, if is just a string
WHERE column like '%-%-%-%-%'
Though an older post, just a thought for a quick test ...
SELECT [A].[INPUT],
CAST([A].[INPUT] AS [UNIQUEIDENTIFIER])
FROM (
SELECT '5D944516-98E6-44C5-849F-9C277833C01B' Collate Latin1_General_100_BIN AS [INPUT]
UNION ALL
SELECT '{5D944516-98E6-44C5-849F-9C277833C01B}'
UNION ALL
SELECT '5D944516-98E6-44C5-849F-9C277833C01BXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'
UNION ALL
SELECT '{5D944516-98E6-44C5-849F-9C277833C01B}ssssssssss'
UNION ALL
SELECT 'ÀD944516-98E6-44C5-849F-9C277833C01B'
UNION ALL
SELECT 'fish'
) [A]
WHERE PATINDEX('[^0-9A-F-{}]%', [A].[INPUT]) = 0
This is a function based on the concept of some earlier comments. This function is very fast.
CREATE FUNCTION [dbo].[IsGuid] (#input varchar(50))
RETURNS bit AS
BEGIN
RETURN
case when #input like '[0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F]-[0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F]-[0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F]-[0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F]-[0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F]'
then 1 else 0 end
END
GO
/*
Usage:
select [dbo].[IsGuid]('123') -- Returns 0
select [dbo].[IsGuid]('ebd8aebd-7ea3-439d-a7bc-e009dee0eae0') -- Returns 1
select * from SomeTable where dbo.IsGuid(TableField) = 0 -- Returns table with all non convertable items!
*/
DECLARE #guid_string nvarchar(256) = 'ACE79678-61D1-46E6-93EC-893AD559CC78'
SELECT
CASE WHEN #guid_string LIKE '________-____-____-____-____________'
THEN CONVERT(uniqueidentifier, #guid_string)
ELSE NULL
END
You can write your own UDF. This is a simple approximation to avoid the use of a SQL-CLR assembly.
CREATE FUNCTION dbo.isuniqueidentifier (#ui varchar(50))
RETURNS bit AS
BEGIN
RETURN case when
substring(#ui,9,1)='-' and
substring(#ui,14,1)='-' and
substring(#ui,19,1)='-' and
substring(#ui,24,1)='-' and
len(#ui) = 36 then 1 else 0 end
END
GO
You can then improve it to check if it´s just about HEX values.
I use :
ISNULL(convert(nvarchar(50), userID), 'NULL') = 'NULL'
I had some Test users that were generated with AutoFixture, which uses GUIDs by default for generated fields. My FirstName fields for the users that I need to delete are GUIDs or uniqueidentifiers. That's how I ended up here.
I was able to cobble together some of your answers into this.
SELECT UserId FROM [Membership].[UserInfo] Where TRY_CONVERT(uniqueidentifier, FirstName) is not null
Use RLIKE for MYSQL
SELECT 1 WHERE #StringToCompare
RLIKE REPLACE('00000000-0000-0000-0000-000000000000', '0', '[0-9a-fA-F]');
In a simplest scenario. When you sure that given string can`t contain 4 '-' signs.
SELECT * FROM City WHERE Name LIKE('%-%-%-%-%')
In BigQuery you can use
SELECT *
FROM table
WHERE
REGEXP_CONTAINS(uuid, REPLACE('^00000000-0000-0000-0000-000000000000$', '0', '[0-9a-fA-F]'))
I have a table in a SQL Server database with an NTEXT column. This column may contain data that is enclosed with double quotes. When I query for this column, I want to remove these leading and trailing quotes.
For example:
"this is a test message"
should become
this is a test message
I know of the LTRIM and RTRIM functions but these workl only for spaces. Any suggestions on which functions I can use to achieve this.
I have just tested this code in MS SQL 2008 and validated it.
Remove left-most quote:
UPDATE MyTable
SET FieldName = SUBSTRING(FieldName, 2, LEN(FieldName))
WHERE LEFT(FieldName, 1) = '"'
Remove right-most quote: (Revised to avoid error from implicit type conversion to int)
UPDATE MyTable
SET FieldName = SUBSTRING(FieldName, 1, LEN(FieldName)-1)
WHERE RIGHT(FieldName, 1) = '"'
I thought this is a simpler script if you want to remove all quotes
UPDATE Table_Name
SET col_name = REPLACE(col_name, '"', '')
You can simply use the "Replace" function in SQL Server.
like this ::
select REPLACE('this is a test message','"','')
note: second parameter here is "double quotes" inside two single quotes and third parameter is simply a combination of two single quotes. The idea here is to replace the double quotes with a blank.
Very simple and easy to execute !
My solution is to use the difference in the the column values length compared the same column length but with the double quotes replaced with spaces and trimmed in order to calculate the start and length values as parameters in a SUBSTRING function.
The advantage of doing it this way is that you can remove any leading or trailing character even if it occurs multiple times whilst leaving any characters that are contained within the text.
Here is my answer with some test data:
SELECT
x AS before
,SUBSTRING(x
,LEN(x) - (LEN(LTRIM(REPLACE(x, '"', ' ')) + '|') - 1) + 1 --start_pos
,LEN(LTRIM(REPLACE(x, '"', ' '))) --length
) AS after
FROM
(
SELECT 'test' AS x UNION ALL
SELECT '"' AS x UNION ALL
SELECT '"test' AS x UNION ALL
SELECT 'test"' AS x UNION ALL
SELECT '"test"' AS x UNION ALL
SELECT '""test' AS x UNION ALL
SELECT 'test""' AS x UNION ALL
SELECT '""test""' AS x UNION ALL
SELECT '"te"st"' AS x UNION ALL
SELECT 'te"st' AS x
) a
Which produces the following results:
before after
-----------------
test test
"
"test test
test" test
"test" test
""test test
test"" test
""test"" test
"te"st" te"st
te"st te"st
One thing to note that when getting the length I only need to use LTRIM and not LTRIM and RTRIM combined, this is because the LEN function does not count trailing spaces.
I know this is an older question post, but my daughter came to me with the question, and referenced this page as having possible answers. Given that she's hunting an answer for this, it's a safe assumption others might still be as well.
All are great approaches, and as with everything there's about as many way to skin a cat as there are cats to skin.
If you're looking for a left trim and a right trim of a character or string, and your trailing character/string is uniform in length, here's my suggestion:
SELECT SUBSTRING(ColName,VAR, LEN(ColName)-VAR)
Or in this question...
SELECT SUBSTRING('"this is a test message"',2, LEN('"this is a test message"')-2)
With this, you simply adjust the SUBSTRING starting point (2), and LEN position (-2) to whatever value you need to remove from your string.
It's non-iterative and doesn't require explicit case testing and above all it's inline all of which make for a cleaner execution plan.
The following script removes quotation marks only from around the column value if table is called [Messages] and the column is called [Description].
-- If the content is in the form of "anything" (LIKE '"%"')
-- Then take the whole text without the first and last characters
-- (from the 2nd character and the LEN([Description]) - 2th character)
UPDATE [Messages]
SET [Description] = SUBSTRING([Description], 2, LEN([Description]) - 2)
WHERE [Description] LIKE '"%"'
You can use following query which worked for me-
For updating-
UPDATE table SET colName= REPLACE(LTRIM(RTRIM(REPLACE(colName, '"', ''))), '', '"') WHERE...
For selecting-
SELECT REPLACE(LTRIM(RTRIM(REPLACE(colName, '"', ''))), '', '"') FROM TableName
you could replace the quotes with an empty string...
SELECT AllRemoved = REPLACE(CAST(MyColumn AS varchar(max)), '"', ''),
LeadingAndTrailingRemoved = CASE
WHEN MyTest like '"%"' THEN SUBSTRING(Mytest, 2, LEN(CAST(MyTest AS nvarchar(max)))-2)
ELSE MyTest
END
FROM MyTable
Some UDFs for re-usability.
Left Trimming by character (any number)
CREATE FUNCTION [dbo].[LTRIMCHAR] (#Input NVARCHAR(max), #TrimChar CHAR(1) = ',')
RETURNS NVARCHAR(max)
AS
BEGIN
RETURN REPLACE(REPLACE(LTRIM(REPLACE(REPLACE(#Input,' ','¦'), #TrimChar, ' ')), ' ', #TrimChar),'¦',' ')
END
Right Trimming by character (any number)
CREATE FUNCTION [dbo].[RTRIMCHAR] (#Input NVARCHAR(max), #TrimChar CHAR(1) = ',')
RETURNS NVARCHAR(max)
AS
BEGIN
RETURN REPLACE(REPLACE(RTRIM(REPLACE(REPLACE(#Input,' ','¦'), #TrimChar, ' ')), ' ', #TrimChar),'¦',' ')
END
Note the dummy character '¦' (Alt+0166) cannot be present in the data (you may wish to test your input string, first, if unsure or use a different character).
To remove both quotes you could do this
SUBSTRING(fieldName, 2, lEN(fieldName) - 2)
you can either assign or project the resulting value
You can use TRIM('"' FROM '"this "is" a test"') which returns: this "is" a test
CREATE FUNCTION dbo.TRIM(#String VARCHAR(MAX), #Char varchar(5))
RETURNS VARCHAR(MAX)
BEGIN
RETURN SUBSTRING(#String,PATINDEX('%[^' + #Char + ' ]%',#String)
,(DATALENGTH(#String)+2 - (PATINDEX('%[^' + #Char + ' ]%'
,REVERSE(#String)) + PATINDEX('%[^' + #Char + ' ]%',#String)
)))
END
GO
Select dbo.TRIM('"this is a test message"','"')
Reference : http://raresql.com/2013/05/20/sql-server-trim-how-to-remove-leading-and-trailing-charactersspaces-from-string/
I use this:
UPDATE DataImport
SET PRIO =
CASE WHEN LEN(PRIO) < 2
THEN
(CASE PRIO WHEN '""' THEN '' ELSE PRIO END)
ELSE REPLACE(PRIO, '"' + SUBSTRING(PRIO, 2, LEN(PRIO) - 2) + '"',
SUBSTRING(PRIO, 2, LEN(PRIO) - 2))
END
Try this:
SELECT left(right(cast(SampleText as nVarchar),LEN(cast(sampleText as nVarchar))-1),LEN(cast(sampleText as nVarchar))-2)
FROM TableName