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
Related
Here's my query where I'm testing my case structure:
SELECT TOP 1 CASE 130
WHEN '000000000000000' THEN '0'
WHEN '' THEN '0'
WHEN 'XXX' THEN '0'
WHEN 'RETIRED' THEN '0'
WHEN 'STUDENT' THEN '0'
ELSE '1'
END AS employed_flag
INTO #employedbeta
FROM CreditBureau.Experian
I'm just trying to make a new temporary table, but I'd like my case to work first. I keep getting the error:
Conversion failed when converting the varchar value 'XXX' to data type int.
In the database, the column 130 is a char, and I don't know why it thinks I want to make it a number. SQL server management studio, if it matters.
The column name is 130, I left the '1' off because I rewrote it here but I get the error regardless in my actual query.
130 is an integer literal. If that's really the column name, you'll have to escape it using double quotes. As a side note, you should probably return the same type (char) in the else branch too:
CASE "130"
WHEN '000000000000000' THEN '0'
WHEN '' THEN '0'
WHEN 'XXX' THEN '0'
WHEN 'RETIRED' THEN '0'
WHEN 'STUDENT' THEN '0'
ELSE '1'
END AS employed_flag
130 is a really bad column name. But, I would simplify the logic to:
SELECT TOP 1 (CASE WHEN [130] IN ('000000000000000', '', 'XXX', 'RETIRED', 'STUDENT')
THEN 0 ELSE 1
END) AS employed_flag
INTO #employedbeta
FROM CreditBureau.Experian;
Note that I also changed the employed_flag to a numeric value rather than a string. That makes more sense to me.
I need to filter out rows in table where numer_lini column has number in it and it is between 100 and 999, below code works just fine when i comment out line where i cast marsnr to integer. However when i try to use it i get error: Invalid character found in a character string argument of the function "INTEGER". when looking at the list seems like replace and translate filters only numbers just fine and select only contains legit numbers (list of unique values is not long so its easy to scan by eye). So why does it fail to cast something? I also tried using integer(marsnr), but it produces the same error. I need casting because i need numeric range, otherwise i get results like 7,80 and so on. As I mentioned Im using IBM DB2 database.
select numer_lini, war_trasy, id_prz1, id_prz2
from alaska.trasa
where numer_lini in (
select marsnr
from (
select
distinct numer_lini marsnr
from alaska.trasa
where case
when replace(translate(numer_lini, '0','123456789','0'),'0','') = ''
then numer_lini
else 'no'
end <> 'no'
)
where cast(marsnr as integer) between 100 and 999
)
fetch first 300 rows only
If you look at the optimized SQL from the Db2 explain, you will see that Db2 has collapsed your code into a single select.
SELECT DISTINCT Q2.NUMER_LINI AS "NUMER_LINI",
Q2.WAR_TRASY AS "WAR_TRASY",
Q2.ID_PRZ1 AS "ID_PRZ1",
Q2.ID_PRZ2 AS "ID_PRZ2",
Q1.NUMER_LINI
FROM ALASKA.TRASA AS Q1,
ALASKA.TRASA AS Q2
WHERE (Q2.NUMER_LINI = Q1.NUMER_LINI)
AND (100 <= INTEGER(Q1.NUMER_LINI))
AND (INTEGER(Q1.NUMER_LINI) <= 999)
AND (CASE WHEN (REPLACE(TRANSLATE(Q1.NUMER_LINI,
'0',
'123456789',
'0'),
'0',
'') = '') THEN Q1.NUMER_LINI
ELSE 'no' END <> 'no')
Use a CASE to force Db2 to do the "is integer" check first. Also, you don't check for the empty string.
E.g. with this table and data
create TABLE alaska.trasa (numer_lini VARCHAR(10), war_trasy INT , id_prz1 INT, id_prz2 INT);
insert into alaska.trasa values ('',1,1,1),('99',1,1,1),('500',1,1,1),('3000',1,1,1),('00300',1,1,1),('AXS',1,1,1);
This SQL works
select numer_lini, war_trasy, id_prz1, id_prz2
from alaska.trasa
where case when translate(numer_lini, '','0123456789') = ''
and numer_lini <> ''
then integer(numer_lini) else 0 end
between 100 and 999
Although that does fail if there is an embedded space in the input. E.g. '30 0'. To cater for that, a regular expressing is probably preferred. E.g.
select numer_lini, war_trasy, id_prz1, id_prz2
from alaska.trasa
where case when regexp_like(numer_lini, '^\s*[+-]?\s*((\d+\.?\d*)|(\d*\.?\d+))\s*$'))
then integer(numer_lini) else 0 end
between 100 and 999
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 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.
I have a table which has 12 columns containing a word, I want to change this to a number. For instance: each of these 12 columns can have one of 5 pre-specified possible values of:
highly agree
agree
no opinion
disagree
highly disagree
I want to change these words with a number, the problem is the data type, it does not allow me to change a nvarchar data type to number, I even tried text data type to contain { highly agree, agree , no opinion , disagree, highly disagree } and then changed them to numbers but this error appeared:
Msg 402, Level 16, State 1, Line 1
The data types text and varchar are incompatible in the equal to operator.
The query I used was this:
[A1]= (case when [A1]='highly agree' then 1
when [A1]='agree' then 4
when [a1]='نظری ندارم' then 9
when [a1]='موافقم' then 16
when [a1]='کاملا موافقم' then 25
else [A1] end )
You dont need to convert your column to text data type, but you have to use your numbers as varchar in your case statement. You cannot mix up data types in the case statement
[A1]= (case when [A1]='highly agree' then '1' when [A1]='agree' then '4' when [a1]='نظری ندارم' then '9' when [a1]='موافقم' then '16' when [a1]='کاملا موافقم' then '25' else [A1] end )
Further to your question, if you want to keep the calculation on this field then you have to cast the whole column to Number. As an example you can use this query
[CalculatedColumn]= CAST(case when [A1]='highly agree' then '1'
when [A1]='agree' then '4'
when [a1]='نظری ندارم' then '9'
when [a1]='موافقم' then '16'
when [a1]='کاملا موافقم' then '25'
else '999' end ) AS INT) -- Any other number which can cast to integer
Try this:
SELECT (CASE A1 WHEN 'highly agree' THEN '1'
WHEN 'agree' THEN '4'
WHEN 'نظری ندارم' THEN '9'
WHEN 'موافقم' THEN '16'
WHEN 'کاملا موافقم' THEN '25'
ELSE A1
END) AS A1