How to check data in sql table

It will help you if you provide us the table schema and the error message.
Also the code will be good to have so we can check it for you.

I am using alter command to change the datatype to money .

ALTER TABLE [SNT]
                   ALTER COLUMN [Total]  money NULL

Error:
Msg 235, Level 16, State 0, Line 1
Cannot convert a char value to money. The char value has incorrect syntax.
The statement has been terminated.

Just wanted to know which data is causing the failure.

Data is like:

606,759.71
79,040.00
9,922.98
350,680.23
16,997.84
295,522.10
50,000.00
60,000.00
9, 751.51

Switching from CHAR to MONEY will be problematic because CHAR fields will end with added spaces so that all values have the specified character length.

Beyond that, you can query to find which values have invalid conversion values using the ISNUMERIC() function:

SELECT *
FROM SNT
WHERE ISNUMERIC(Total) <> 1

Select allOpen in new window

Please use Try_Cast or Try_Convert or try_parse functions

TRY_PARSE
 
It converts string data type to target data type(Date or Numeric). For example, source data is string type and we need to covert to date type. If conversion attempt fails it returns NULL value.
 
Syntax: TRY_PARSE (string_value AS data_type [ USING culture ])
String_value – This is argument is source value which is NVARCHAR(4000) type.
Data_type – This argument is target data type either date or numeric.
Culture – It is an optional argument which helps to convert the value to in Culture format. Suppose you want to display the date in French, then you need to pass culture type as ‘Fr-FR’. If you will not pass any valid culture name, then PARSE will raise an error.
Examples
DECLARE @ fakeDate AS varchar(10);  
DECLARE @ realDate AS VARCHAR(10);  
SET @fakeDate = 'iamnotadate';  
SET @realDate = '13/09/2015;  
SELECT TRY_PARSE(@fakeDate AS DATE); --NULL  
SELECT TRY_PARSE(@realDate AS DATE); -- 2015-09-13  
SELECT TRY_PARSE(@realDate AS DATE USING 'Fr-FR'); -- 2015-09-13  
First query attempts to convert a non-date to date type, it fails and returns NULL value. Second query successfully converts to date type. Third query also successfully converts but in French forma t(Here it is not showing any difference you can use other culture to see the difference).

TRY_CONVERT

It converts value to specified data type and if conversion fails it returns NULL. For example, source value in string format and we need date/integer format. Then this will help us to achieve the same.

Syntax: TRY_CONVERT ( data_type [ ( length ) ], expression [, style ] )
Data_type - The datatype into which to convert. Here length is an optional parameter which helps to get result in specified length.
Expression - The value to be convert
Style - It is an optional parameter which determines formatting. Suppose you want date format like “May, 18 2013” then you need pass style as 111. More on style visit here.
Examples:
DECLARE @sampletext AS VARCHAR(10);  
SET @sampletext = '123456';  
DECLARE @ realDate AS VARCHAR(10);  
SET @realDate = '13/09/2015’;  
SELECT TRY_CONVERT(INT, @sampletext); -- 123456  
SELECT TRY_CONVERT(DATETIME, @sampletext); -- NULL  
SELECT TRY_CONVERT(DATETIME, @realDate, 111); -- Sep, 13 2015  
First query converts the text to integer successfully, but in second query the conversion fails and it returns NULL. Third query successfully converts string value to date type with specified formats.

TRY_CAST

It converts value to specified data type and if conversion fails it returns NULL. For example, source value in string format and we need it in double/integer format. Then this will help us in achieving it.
 
Syntax: TRY_CAST ( expression AS data_type [ ( length ) ] )
Expression - The source value which will go to cast.
Data_type - The target data type the source value will cast.
Length - It is an optional parameter that specifies the length of target data type.
Examples
DECLARE @sampletext AS VARCHAR(10);  
SET @sampletext = '123456';  
 
SELECT TRY_CAST(@sampletext AS INT); -- 123456  
SELECT TRY_CAST(@sampletext AS DATE); -- NULL  
Firstly, query converts the text to integer successfully, but in second query the conversion fails and it returns NULL.

Putting a function on top of a column in a where clause will KILL the query performance as will always scan the table.

Thanks Vitor!
Special thanks to Pawan!

@Rias - If my solution helped could you mark my solution as assisted one.? Thanks !

Pawan,

Thanks.Your suggestion was to how to convert datatype.
But,my question was How can  I check in the table which data is causing the failure.

Cheers

Fine. Thanks !