I have a stored procedure where I have a condition to check whether a Rating Code is 1,2 or 3 in the where clause. Something like this:
WHERE
CONVERT(INT, LEFT(RatingCode, 1)) IN (1,2,3) AND
At times when there are bad values in RatingCode column the above line throws an error. Hence I came up with the below solution:
WHERE
CASE WHEN ISNUMERIC(LEFT(RatingCode, 1)) = 1
THEN CASE WHEN CONVERT(INT, LEFT(RatingCode, 1)) IN (1,2,3)
THEN 1
ELSE 0
END
ELSE 0
END = 1 AND
Here if there is an invalid value(non numeric) in RatingCode column then I want to ignore that record. Is my above solution a good one? Or is there any better solution?
In that specific case, you could also just use
WHERE
LEFT(RatingCode, 1) IN ('1','2','3') AND
Besides that, also string comparisons are allowed in tsql.
WHERE
LEFT(RatingCode, 1) BETWEEN '1' AND '3' AND
This does not throw an error for non-numeric letters.
Related
I have this query, using which I am trying to categorize my data. If the first character is between 0 and 9, I want to categorize it with the first character. If it is anything else including special characters or alphabets, then I want to use 10.
select CUSTOMER_ID, CASE
WHEN LEFT(CUSTOMER_ID, 1) BETWEEN 0 AND 9 THEN LEFT(CUSTOMER_ID, 1)
ELSE '10'
END
AS CUST_DIGIT
from CUSTOMER
I get this error when I run the above query:
Conversion failed when converting the nvarchar value 'A' to data type
int.
This is what my data looks like. Could you please help point what I could change.
Update your between values to string as '0' AND '9' then it will work.
Reason you are getting error is when you perform LEFT it will return string and you are comparing it with int as 0 AND 9 are int, So it will try to convert your result value from LEFT to int.
Your some of the record have digit at beginning of value those will work fine but when record comes like A46564 it won't be able to cast A to int and throw error.
SELECT CUSTOMER_ID, CASE
WHEN LEFT(CUSTOMER_ID, 1) BETWEEN '0' AND '9' THEN LEFT(CUSTOMER_ID, 1)
ELSE '10'
END AS CUST_DIGIT
FROM CUSTOMER
I would initially answer the same as #Karan.
Just for completeness... In your case, a possible alternative would be to use ISNUMERIC:
select
CUSTOMER_ID,
CASE
WHEN ISNUMERIC(LEFT(CUSTOMER_ID, 1)) = 1 THEN LEFT(CUSTOMER_ID, 1)
ELSE '10'
END AS CUST_DIGIT
from
CUSTOMER
And yet another approach would be to use the LIKE operator:
select
CUSTOMER_ID,
CASE
WHEN CUSTOMER_ID LIKE '[0-9]%' THEN LEFT(CUSTOMER_ID, 1)
ELSE '10'
END AS CUST_DIGIT
from
CUSTOMER
I'm trying to do a count to see how many fields in column value are > 10:
SELECT
COUNT(CASE WHEN t.value > 10)
THEN 1
ELSE NULL
END
FROM table t
WHERE t.DATE = '2017-01-01'
However, the column has a few custom entries like +15 or >14.0, so I added the following:
SELECT
COUNT(CASE WHEN value LIKE '>%'
and Replace(value, '>', '') > 10)
FROM table t
WHERE t.DATE = '2017-01-01'
However, after doing that, I get the following error:
Conversion failed when converting the varchar value '>14.0' to data
type int. Warning: Null value is eliminated by an aggregate or other
SET operation.
Seeing I have no access to rewrite the database with an UPDATE, does anyone have a workaround solution?
You could fix this, either by simply changing 10 to 10.0:
SELECT CASE WHEN '14.0' > 10.0 THEN 1 ELSE 0 END
This will cause the implicit conversion of '14.0' to decimal rather than int, which works, or you explicitly convert it:
SELECT CASE WHEN CONVERT(DECIMAL(14, 2), '14.0') > 10 THEN 1 ELSE 0 END
If it were me however, and I was not in a position to update the data, and do something a bit left field, like use a numeric data type to store numbers, I would ignore these values completely, and simply use TRY_CONVERT to avoid the conversion errors:
SELECT
COUNT(CASE WHEN TRY_CONVERT(DECIMAL(14, 2), value) > 10 THEN 1 END)
It is a varchar column, so the possibilities of what nonsense could be in there are endless, you might get a query that works now by replacing > and +, but then what about when someone puts in <, or ends up with a space in between like + 14, or something completely random like 'aaaa', where does it end?
It would be helpful to see the table and sample data, but it sounds like you have strings that are numbers and a sign.
You can cast it to convert the data since you are mixing and matching data types.
SELECT
COUNT(CASE WHEN CAST(value AS VARCHAR(10)) LIKE '>%'
and CAST(Replace(value, '>', '') AS your_num_datatype_here) > 10)
I have seen similar questions asked elsewhere on this site, but more in the context of optimization.
I am having an issue with the order of execution of the conditions in a WHERE clause. I have a field which stores codes, most of which are numeric but some of which contain non-numeric characters. I need to do some operations on the numeric codes which will cause errors if attempted on non-numeric strings. I am trying to do something like
WHERE isnumeric(code) = 1
AND CAST(code AS integer) % 2 = 1
Is there any way to make sure that the isnumeric() executes first? If it doesn't, I get an error...
Thanks in advance!
The only place order of evaluation is guaranteed is CASE
WHERE
CASE WHEN isnumeric(code) = 1
THEN CAST(code AS integer) % 2
END = 1
Also just because it passes the isnumeric test doesn't guarantee that it will successfully cast to an integer.
SELECT ISNUMERIC('$') /*Returns 1*/
SELECT CAST('$' AS INTEGER) /*Fails*/
Depending upon your needs you may find these alternatives preferable.
Why not simply do it using LIKE?:
Where Code Not Like '%[^0-9]%'
Btw, either using my solution or using IsNumeric, there are some edge cases which might lead one to using a UDF such as 1,234,567 where IsNumeric will return 1 but Cast will throw an exception.
Why not use a CASE statement to say something like:
WHERE
CASE WHEN isnumeric(code) = 1
THEN CAST(code AS int) % 2 = 1
ELSE /* What ever else if not numeric */ END
You could do it in a case statement in the select clause, then limit by the value in an outer select
select * from (
select
case when isNum = 1 then CAST(code AS integer) % 2 else 0 end as castVal
from (
select
Case when isnumeric(code) = 1 then 1 else 0 end as isNum
from table) t
) t2
where castval = 1
I have a T-SQL stored proc that supplies a good amount of data to a grid on a .NET page....so much so that I put choices at the top of the page for "0-9" and each letter in the alphabet so that when the user clicks the letter I want to filter my results based on results that begin with that first letter. Let's say we're using product names. So if the user clicks on "A" I only want my stored proc to return results where SUBSTRING(ProductName, 1, 1) = "A".
Where I'm getting hung up is on product names that begin with a number. In that case I want to fetch all ProductName values where ISNUMERIC(SUBSTRING(ProductName, 1, 1)) = 1. I'm using an input parameter called #FL. #FL will either be a zero (we have few products that begin with numerics, so I lump them all together this way).
Of course there's also the alternative of WHERE SUBSTRING(ProductName, 1, 1) IN ('0', '1', '2'.....) but even then, I've never been able to devise a CASE statement that will do an = on one evaluation and an IN statement for the other.
Here's what I have in my proc for the CASE part of my WHERE clause. It doesn't work, but it may be valuable if only from a pseudocode standpoint.
Thanks in advance for any ideas you may have.
AND CASE #FL
WHEN "0" THEN
CASE WHEN #FL = "0" THEN
isnumeric(substring(dbo.AssnCtrl.Name, 1, 1)) = 1
ELSE
SUBSTRING(dbo.AssnCtrl.Name, 1, 1) = #FL
END
END
*** I know that this use of the CASE statement is "non-standard", but I found it online and thought it had some promise. But attempts to use a single CASE statement yielded the same result (an error near '=').
Why not just use Like operator ?
Where dbo.AssnCtrl.Name Like #FL + '%'
When they select the Any Number option, pass in #FL as '[0-9]'
(I assume you have an index on this name column ?)
To steal a bit from Charles:
AND Substring(dbo.AssnCtrl.Name, 1, 1) Like
CASE WHEN #FL = '0' THEN '[0-9]'
ELSE #FL
END
Have you tried
AND (
isnumeric(substring(dbo.AssnCtrl.Name, 1, 1)) = 1
or
SUBSTRING(dbo.AssnCtrl.Name, 1, 1) = #FL )
this works for me:
select * from casefile where
isnumeric(substring(pmin,1,1)) = 1
or
substring(pmin,1,1) = 'a'
oI have a teradata table with about 10 million records in it, that stores a numeric id field as a varchar. i need to transfer the values in this field to a bigint column in another table, but i can't simply say cast(id_field as bigint) because i get an invalid character error. looking through the values, i find that there could be a character at any position in the string, so let's say the string is varchar(18) i could filter out invalid rows like so :
where substr(id_field,1,1) not in (/*big,ugly array of non-numeric chars*/)
and substr(id_field,2,1) not in (/*big,ugly array of non-numeric chars*/)
etc, etc...
then the cast would work, but this is not feasible in the long run. it's slow and if the string has 18 possible characters, it makes the query unreadable. how can i filter out rows that have a value in this field that will not cast as a bigint without checking each character individually for an array of non-numeric characters?
example values would be
123abc464
a2.3v65
a_356087
........
000000000
BOB KNIGHT
1235468099
the values follow no specific patterns, I simply need to filter out the ones that contain ANY non-numeric data.
123456789 is okay but 123.abc_c3865 is not...
Starting with TD14 Teradata added some functions, now there are multiple ways, e.g.:
WHERE RTRIM(col, '0123456789') = ''
But the easiest way is TO_NUMBER, which returns NULL for bad data:
TO_NUMBER(col)
The best that I've ever managed is this:
where char2hexint(upper(id_field)) = char2hexint(lower(id_field))
Since upper case characters give a different hex value to lower case ones, this will ensure that you have no alphabetical characters, but will still leave you with underscores, colons and so forth. If this doesn't meet your requirements, you may need to write an UDF.
could we also try to divide the values in the field by some integer "if divided then must be a number and if not and throws some error,then must have some character...." guess this would be lot fast as has just mathematics involved...
I've faced the same issue to try to exclude alpha characters from street address house numbers. The following will work if you don't mind concatanating all the numeric numbers together......
It checks if the upper of a string equals the lower of the string, if so it's a number, if not it becomes null.
select cast(case when upper(substring('12E'from 1 for 1)) = lower(substring('12E'from 1 for 1)) then substring('12E'from 1 for 1) else null end ||
case when upper(substring('12E'from 2 for 1)) = lower(substring('12E'from 2 for 1)) then substring('12E'from 2 for 1) else null end ||
case when upper(substring('12E'from 3 for 1)) = lower(substring('12E'from 3 for 1)) then substring('12E'from 3 for 1) else null end ||
case when upper(substring('12E'from 4 for 1)) = lower(substring('12E'from 4 for 1)) then substring('12E'from 4 for 1) else null end ||
case when upper(substring('12E'from 5 for 1)) = lower(substring('12E'from 5 for 1)) then substring('12E'from 5 for 1) else null end ||
case when upper(substring('12E'from 2 for 1)) = lower(substring('12E'from 2 for 1)) then substring('12E'from 2 for 1) else null end
as integer)
Try using this code segment
WHERE id_Field NOT LIKE '%[^0-9]%'
I found lins314159 answer to be very helpful with a similar issue. It may be an old thread but for what it's worth, I used:
char2hexint(upper(id_field)) = char2hexint(lower(id_field)) AND substr(id_field,1,1) IN ('1' to '9')
to successfully cast the remaining VARCHAR results to INT
SELECT customer_id
FROM t
WHERE UPPER(customer_id)(CASESPECIFIC) <>
LOWER(customer_id)(CASESPECIFIC);
This works perfectly fine to check whether the values in a numeric field is non-numeric.
SELECT id_field
WHERE oTranslate(id_field, '0123456789','')<>'';
This works well for me! It reveals any id_field containing a non-numeric value