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Question
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select cast(round(left(time,5),0) as varchar(50)) from time
This is the querry is showing Convert data type varchar to float
in the time data is like
5.00 am
6.30 am
10.30 pm
11.30pm
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Edited by
Wednesday, November 28, 2012 10:30 AM
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Edited by
Answers
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Try the below one It may solve your issue
SELECT CAST(ROUND(LEFT(REPLACE(REPLACE(TIME,'PM',''),'AM',''),5),0) AS VARCHAR(50)) FROM TIME ---------- -------- -----------
Else
Please explain your issue clearly
Please use Marked as Answer if my post solved your problem and use Vote As Helpful if a post was useful.
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Marked as answer by
Iric Wen
Wednesday, December 5, 2012 10:07 AM
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Marked as answer by
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Question
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select cast(round(left(time,5),0) as varchar(50)) from time
This is the querry is showing Convert data type varchar to float
in the time data is like
5.00 am
6.30 am
10.30 pm
11.30pm
-
Edited by
Wednesday, November 28, 2012 10:30 AM
-
Edited by
Answers
-
Try the below one It may solve your issue
SELECT CAST(ROUND(LEFT(REPLACE(REPLACE(TIME,'PM',''),'AM',''),5),0) AS VARCHAR(50)) FROM TIME ---------- -------- -----------
Else
Please explain your issue clearly
Please use Marked as Answer if my post solved your problem and use Vote As Helpful if a post was useful.
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Marked as answer by
Iric Wen
Wednesday, December 5, 2012 10:07 AM
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Marked as answer by
Sometimes, under certain circumstances, when you develop in SQL Server and especially when you try to convert a string data type value to a float data type value, you might get the error message: error converting data type varchar to float. As the error message describes, there is a conversion error and this is most probably due to the input parameter value you used in the conversion function.
Read more below on how you can easily resolve this problem.
Reproducing the Data Type Conversion Error
As mentioned above, the actual reason you get this error message, is that you are passing as a parameter to the CAST or CONVERT SQL Server functions, a value (varchar expression) that is invalid and cannot be converted to the desired data type.
Consider the following example:
----------------------------------------- --Variable declaration and initialization ----------------------------------------- DECLARE @value AS VARCHAR(50); SET @value = '12.340.111,91'; --Perform the casting SELECT CAST(@value AS FLOAT); --or --Perform the conversion SELECT CONVERT(FLOAT, @value); -----------------------------------------
If you execute the above code you will get an error message in the following type:
Msg 8114, Level 16, State 5, Line 6
Error converting data type varchar to float.
Another similar example where you get the same data type conversion error, is the below:
----------------------------------------- --Variable declaration and initialization ----------------------------------------- DECLARE @value2 AS VARCHAR(50); SET @value2 = '12,340.15'; --Perform the casting SELECT CAST(@value2 AS FLOAT); --or --Perform the conversion SELECT CONVERT(FLOAT, @value2);
Why you get this Conversion Error
The exact reason for getting the error message in this case is that you are using the comma (,) as a decimal point and also the dots as group digit symbols. Though SQL Server considers as a decimal point the dot (.). Also when converting a varchar to float you must not use any digit grouping symbols.
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How to Resolve the Conversion Issue
In order for the above code to execute, you would need to first remove the dots (that is the digit grouping symbols in this case) and then replace the comma with a dot thus properly defining the decimal symbol for the varchar expression.
Note: You need to be careful at this point, in order to correctly specify the decimal symbol at the correct position of the number.
Therefore, you can modify the code of example 1 as per below example:
------------------------------------------- --Variable declaration and initialization ------------------------------------------- DECLARE @value AS VARCHAR(50); SET @value = '12.340.111,91'; --Prepare the string for casting/conversion to float SET @value = REPLACE(@value, '.', ''); SET @value = REPLACE(@value, ',', '.'); --Perform the casting SELECT CAST(@value AS FLOAT); --or --Perform the conversion SELECT CONVERT(FLOAT, @value); -----------------------------------------
If you execute the above code you will be able to get the string successfully converted to float.
Similarly, you can modify the code of example 2 as per below example:
----------------------------------------- --Variable declaration and initialization ----------------------------------------- DECLARE @value2 AS VARCHAR(50); SET @value2 = '12,340.15'; --Prepare the string for casting/conversion to float SET @value2 = REPLACE(@value2, ',', ''); --Perform the casting SELECT CAST(@value2 AS FLOAT); --or --Perform the conversion SELECT CONVERT(FLOAT, @value2);
Again, if you execute the above code you will be able to get the string successfully converted to float.
*Note: Even though you can try changing the regional settings of the PC for setting the dot (.) as the decimal symbol, this will only affect the way the data is presented to you when returned from the casting/conversion call. Therefore, you still have to modify the varchar expression prior to the casting/conversion operation.
Regarding the message: error converting data type varchar to numeric
The above error message is similar to the one we examined in this article, therefore, the way for resolving the issue is similar to the one we described in the article. The only different for the numeric case, is that you will have to replace FLOAT with numeric[ (p[ ,s] )]. Learn more about the numeric data type in SQL Server and how to resolve the above conversion issue, by reading the relevant article on SQLNetHub.
Watch the Live Demonstration on the VARCHAR to FLOAT Data Type Conversion Error
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How to resolve the error: Error converting data type varchar to float
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Views: 25,926
The issue that you’re having is that you’re specifically searching for strings that contain a %
character, and then converting them (implicitly or explicitly) to float.
But strings containing %
signs can’t be converted to float whilst they still have a %
in them. This also produces an error:
select CONVERT(float,'12.5%')
If you’re wanting to convert to float, you’ll need to remove the %
sign first, something like:
CONVERT(float,REPLACE(terms_code,'%',''))
will just eliminate it. I’m not sure if there are any other characters in your terms_code
column that may also trip it up.
You also need to be aware that SQL Server can quite aggressively re-order operations and so may attempt the above conversion on other strings in terms_code
, even those not containing %
. If that’s the source of your error, then you need to prevent this aggressive re-ordering. Provided there are no aggregates involved, a CASE
expression can usually avoid the worst of the issues — make sure that all strings that you don’t want to deal with are eliminated by earlier WHEN
clauses before you attempt your conversion
The issue that you’re having is that you’re specifically searching for strings that contain a %
character, and then converting them (implicitly or explicitly) to float.
But strings containing %
signs can’t be converted to float whilst they still have a %
in them. This also produces an error:
select CONVERT(float,'12.5%')
If you’re wanting to convert to float, you’ll need to remove the %
sign first, something like:
CONVERT(float,REPLACE(terms_code,'%',''))
will just eliminate it. I’m not sure if there are any other characters in your terms_code
column that may also trip it up.
You also need to be aware that SQL Server can quite aggressively re-order operations and so may attempt the above conversion on other strings in terms_code
, even those not containing %
. If that’s the source of your error, then you need to prevent this aggressive re-ordering. Provided there are no aggregates involved, a CASE
expression can usually avoid the worst of the issues — make sure that all strings that you don’t want to deal with are eliminated by earlier WHEN
clauses before you attempt your conversion
CASE
WHEN (Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)- FLOOR(Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)))> 0 AND (Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)- FLOOR(Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)))<=0.25 THEN (0.25+FLOOR(Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)))
WHEN (Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)- FLOOR(Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)))> 0.25 AND (Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)- FLOOR(Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)))<=0.50 THEN (0.50+FLOOR(Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)))
WHEN (Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)- FLOOR(Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)))> 0.50 AND (Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)- FLOOR(Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)))<=0.75 THEN (0.75+FLOOR(Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)))
WHEN (Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)- FLOOR(Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)))> 0.75 AND (Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)- FLOOR(Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)))<1 THEN (1+FLOOR(Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)))
WHEN (Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)- FLOOR(Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)))= 0 THEN (0+FLOOR(Cast(CONVERT(DECIMAL(10,2),(totaleffort/7.40)) as nvarchar)))
END
AS Estimated_Effort_Days,
Приведенный выше код в настоящее время округляет поле с именем totaleffort до ближайшего 25, например, если у меня значение 78.19, оно будет округлено до 78.25.
У меня есть новое требование для значения нуля, когда значение = 0, тогда мне нужно отобразить текст «неизвестный номер». Я попытался добавить дополнительный оператор case, однако запрос не выполняется с ошибкой:
Ошибка преобразования типа данных varchar в float.
Есть ли у кого-нибудь рекомендации для меня?
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Question
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I have this query:
SELECT
A.[ID EMPLEADO],A.EMPLEADO,
LTRIM(A.EMPRESA) AS EMPRESA,
CASE A.EMPRESA
WHEN ‘OHSC’ THEN ‘OHSC’
ELSE ‘OH’
END AS OH,
A.[CLAVE PUESTO PS],A.[PUESTO PS],
CONVERT(DECIMAL,A.[CLAVE CLIENTE]) AS [CLAVE CLIENTE],AN.CLIENTE,A.[CLAVE CC],A.CC,
A.FECHA_INGRESO,MONTH(A.FECHA_INGRESO) AS MES,YEAR(A.FECHA_INGRESO) AS AÑO,
AN.SUCURSAL,AN.[GERENCIA REGIONAL],
ISNULL(AN.CORPORATIVO,A.CLIENTE) AS CORPORATIVO,
AN.[PARQUE INDUSTRIAL],AN.GIRO,
GENERO,dbo.fn_RangoEdad(FECHA_NACIMIENTO) AS [RANGO EDAD]
FROM ALTAS A
LEFT JOIN AgrupadoresNomina AN ON A.[CLAVE CLIENTE]=AN.[CLAVE CLIENTE]
EXCEPT
SELECT * FROM vBajas_Cancelacion_PSThat query was working fine, but recently has started to give me the following message:
Msg 8114, Level 16, State 5, Line 1
Error converting data type varchar to float.I’ve tried running the first SELECT, and everything is OK, running the second SELECT and everything is OK.
Also i’ve tried changing the EXCEPT sentence for NOT IN or EXIST (in this case it only shows me 34086 records, then gives me same error), removing the CONVERT from the query, but the result is the same, it gives me the «Error converting data type varchar
to float» message.Can someone help me to get more ideas to find the record or why is now showing me this message?
Thanks in advance!
Answers
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You are seeing that message because in one of those selects there is a float column and the corresponding column in the other select is a varchar. So when yoou run one select, you get a float result so there is no problem. When you run the other
select, you get a varchar result, so that is also no problem. But when you run them together with the EXCEPT, SQL must convert them to the same type in order to do the compare. Since float has a higher priority than varchar, SQL tries to convert
the value in the varchar column to a float. So for at least one row, you have a value in that varchar column which cannot be converted.If you are on SQL 2012 or later, the best way to find the row(s) causing this error is to run (in the code below, replace <column name> with the name of the varchar column.
Select <column name> From ... Where Try_Convert(float, <column name>) Is Null And <column name> Is Not Null;
If you are on SQL 2008R2 or earlier, you cannot use Try_Convert, but you can do
Select <column name> From ... Where IsNumeric(<column name>) = 0;
That’s not quite as helpful as Try_Convert. If will probably find the row(s) but it might not depending exactly what is in the varchar column.
In addition to selecting the column name, you might also want to select any additional data needed to find the row with the bad data (such as the primary key columns).
Tom
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Marked as answer by
Wednesday, February 20, 2013 3:48 AM
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Marked as answer by
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Does the column datatypes from both SELECT statements are compatible ?
As a test, try inserting the first SELECT statement results into a temp table and then check the data types of all those columns whether compatible with t all column data types of the table/view —
vBajas_Cancelacion_PS (second SELECT statement)SELECT A.[ID EMPLEADO],A.EMPLEADO, LTRIM(A.EMPRESA) AS EMPRESA, CASE A.EMPRESA WHEN 'OHSC' THEN 'OHSC' ELSE 'OH' END AS OH, A.[CLAVE PUESTO PS],A.[PUESTO PS], CONVERT(DECIMAL,A.[CLAVE CLIENTE]) AS [CLAVE CLIENTE],AN.CLIENTE,A.[CLAVE CC],A.CC, A.FECHA_INGRESO,MONTH(A.FECHA_INGRESO) AS MES,YEAR(A.FECHA_INGRESO) AS AÑO, AN.SUCURSAL,AN.[GERENCIA REGIONAL], ISNULL(AN.CORPORATIVO,A.CLIENTE) AS CORPORATIVO, AN.[PARQUE INDUSTRIAL],AN.GIRO, GENERO,dbo.fn_RangoEdad(FECHA_NACIMIENTO) AS [RANGO EDAD] INTO FirstSelectResults -- Added this FROM ALTAS A LEFT JOIN AgrupadoresNomina AN ON A.[CLAVE CLIENTE]=AN.[CLAVE CLIENTE]
SP_HELP FirstSelectResults
Narsimha
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Marked as answer by
AlejandroVR
Wednesday, February 20, 2013 3:49 AM
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Marked as answer by
It means you have at least one row in the table that cannot be cast to float
. Doing the CASE
is safe, but combining the CTE and adding a WHERE clause falls into a common fallacy of programmers when writing T-SQL: that order of declaration implies an order of execution. Programmers are used to the imperative procedural style of C like languages and fail to comprehend the declarative set based nature of SQL. I have wrote before about this issue and gave examples when the fallacy causes errors:
- T-SQL functions do no imply a certain order of execution
- On SQL Server boolean operator short-circuit
Once you post your full code we can see where exactly did you make the fallacy in your case and assumed a certain order of execution.
after update
OK, so I have to admin that in your case the code is correct in the order of execution, the result
column cannot be projected w/o first evaluating the CASE
. Had the CASE been in a WHERE clause things would have been different.
Your problem is different: ISNUMERIC
. This function has a very generous understanding of what NUMERIC
means and has bitten many developers before. Namely, it accepts values that CAST and CONVERT will reject. Like ones containing a comma:
declare @n varchar(8000) = '1,000';
select isnumeric(@n);
select cast(@n as float);
select case when isnumeric(@n)=1 then cast(@n as float) else null end;
So you have values that pass the ISNUMERIC
test but fail to convert. Just a heads up, the more you’ll digg into this approach, the more closed doors you’ll find. Is just no safe way to do the cast you need on the server side. Ideally, fix the data model (make the field a float if it stores floats). Short of that, triage the data and remove all values that are not a proper float, and fix the front-end/application to no longer introduce new ones, then add a constraint that will trigger the error if new bad values appear. You won’t be able to solve this in a query, that road is littered with bodies.
With the next version of SQL Server you will have a new function, TRY_CONVERT
, that would solve your problem.
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Вопрос
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Hi,
I have an .xls file with colunm name id’
9.09112E+11 ‘
i insert this to sql 2000 database #test with openrowset.
on the database i get it as Float 909112375264.
i have another table TB that hace the same id’s as .xls file but as varchar(300)
now i have to do a match
SELECT #test.ID FROM #test INNER JOIN TB ON #testid = Tb.id
this is when i ge t the Error converting data type varchar to float.
thanks
Ответы
-
Try:
USE tempdb; GO CREATE TABLE #Table2( [Sim Number] [float] NOT NULL ) GO INSERT #Table2 ([Sim Number]) VALUES (909112379043) INSERT #Table2 ([Sim Number]) VALUES (909112379084) INSERT #Table2 ([Sim Number]) VALUES (909112379886) INSERT #Table2 ([Sim Number]) VALUES (909112382518) INSERT #Table2 ([Sim Number]) VALUES (909112383599) INSERT #Table2 ([Sim Number]) VALUES (909112385818) INSERT #Table2 ([Sim Number]) VALUES (909112388697) INSERT #Table2 ([Sim Number]) VALUES (909112394299) INSERT #Table2 ([Sim Number]) VALUES (909112404627) GO CREATE TABLE #Table1( [Sim Number] [varchar](30) COLLATE Latin1_General_CI_AS NOT NULL, CONSTRAINT [PK_Table1] PRIMARY KEY CLUSTERED ( [Sim Number] ASC ) ) GO INSERT #Table1 ([Sim Number]) VALUES ('8944260909112379043') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112379084') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112379886') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112382518') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112383599') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112385818') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112388697') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112394299') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112404627') GO SELECT * FROM #Table1 AS A INNER JOIN #Table2 AS B ON A.[Sim Number] LIKE '%' + STR(B.[Sim Number], 12) GO DROP TABLE #Table1, #Table2; GO
AMB
Some guidelines for posting questions…
-
Помечено в качестве ответа
17 июня 2011 г. 15:53
-
Помечено в качестве ответа
-
1 — Do not use publushing wizrd, and instead use OPENROWSET. You will have more control over the columns and types.
http://www.databasejournal.com/features/mssql/article.php/3331881/OpenRowSource-and-OpenRowSet-in-SQL-Server-2000.htm
2 — The problem with the last script I posted is that we are comparing FLOAT to STRING, so we need to convert one of the values to matcfh the other data type. Also, the comparison is about trailing characters, and this kind of comparison (A LIKE ‘%’ + B)
is not efficient, the optimizer can’t use the statistics to estimate the selectivity of the expression.You can create a computed and persisted column in each table, create an index for each column and then use an equi join.
USE tempdb; GO CREATE TABLE #Table2( [Sim Number] [float] NOT NULL, c1 AS STR([Sim Number], 12) COLLATE Latin1_General_CI_AS PERSISTED ) GO INSERT #Table2 ([Sim Number]) VALUES (909112379043) INSERT #Table2 ([Sim Number]) VALUES (909112379084) INSERT #Table2 ([Sim Number]) VALUES (909112379886) INSERT #Table2 ([Sim Number]) VALUES (909112382518) INSERT #Table2 ([Sim Number]) VALUES (909112383599) INSERT #Table2 ([Sim Number]) VALUES (909112385818) INSERT #Table2 ([Sim Number]) VALUES (909112388697) INSERT #Table2 ([Sim Number]) VALUES (909112394299) INSERT #Table2 ([Sim Number]) VALUES (909112404627) GO CREATE TABLE #Table1( [Sim Number] [varchar](30) COLLATE Latin1_General_CI_AS NOT NULL, c1 AS RIGHT([Sim Number], 12) COLLATE Latin1_General_CI_AS PERSISTED, CONSTRAINT [PK_Table1] PRIMARY KEY CLUSTERED ( [Sim Number] ASC ) ) GO INSERT #Table1 ([Sim Number]) VALUES ('8944260909112379043') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112379084') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112379886') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112382518') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112383599') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112385818') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112388697') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112394299') INSERT #Table1 ([Sim Number]) VALUES ('8944260909112404627') GO CREATE INDEX idx_T1_c1 ON #Table1(c1) INCLUDE([Sim Number]); GO CREATE INDEX idx_T2_c1 ON #Table2(c1) INCLUDE([Sim Number]); GO SELECT A.[Sim Number], B.[Sim Number] FROM #Table1 AS A INNER JOIN #Table2 AS B ON A.c1 = B.c1 GO DROP TABLE #Table1, #Table2; GO
AMB
Some guidelines for posting questions…
-
Помечено в качестве ответа
deti
17 июня 2011 г. 15:52
-
Помечено в качестве ответа
Friends,
Sometimes you need to convert the data of a column in SQL server table from VARCHAR(String) to FLOAT. When I was working on the similar one today i got an error saying that
Msg 8114, Level 16, State 5, Line 2
Error converting data type varchar to Float.
PFB the code I have written –
SELECT col1, CAST(col2 AS FLOAT) as col2 FROM #DaTable
I was getting this error because there is some data like NULLS and non numeric values which cannot be converted to FLOAT datatype. To handle this kind of error we have to use the CASE Statement. PFB the converted code which converts VARCHAR column to FLOAT column.
SELECT col1, CASE WHEN ISNUMERIC(col2) = 1 THEN CAST(col2 AS FLOAT) ELSE NULL END as col2 FROM #tableName
In the above example at first point I am checking whether the data is NUMERIC or not using ISNUMERIC() function and if the data is non numeric then I am replacing the value with NULL as I cannot convert it to FLOAT type and then casting the data ONLY when it is NUMERIC to FLOAT.
Hope this helps !!
Regards,
Roopesh Babu V