SQL Decimal points to be remove extra values.?

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I have some case about 8.89291 value in SQL database.

In this case if I'm running:

select cast(ROUND(8.89291,0) as float)  

The output is : 9

What I'm actually looking for is

The output is : 8.9

How can I get this value?

Will you guys please help me?

Your precision is 0 so its giving the whole value.

select cast(round(8.89291, 1) as float)

Remove Decimals Without Rounding – SQLServerCentral, Remove Decimals Without Rounding – Learn more on the a number like maybe 10.73 and remove the decimal place and making it I need to do it using T-SQL So if your value is defined as "decimal(x,y)" then you have to declare need the extra overhead of RTRIM/LTRIM when converting Decimal� I am having following values in database table : 12.00 15.00 18.00 20.00 I want to remove all decimal ZEROS from all values , So how can I do this using SQL query.

If you are open to casting, then you don't also need to call ROUND. Consider casting to NUMERIC(10,1):

SELECT CAST(8.89291 AS NUMERIC(10,1));


(demo for SQL Server, but the above would run on many other databases as well)

How to remove Decimal point – SQLServerCentral, Hi i have column with data type as Varchar.The coloumns contains the numbers with decimal point in between for ex: 789.24,7892.5 etc. One of the columns I am selecting is numeric with a decimal within the column. In my select, I am converting the numeric to an alpha field. However, the "." (decimal point) still shows up in the field. How can I select/convert this column so that the decimal point is removed in the selected data? Thanks very much,

You had selected 0 that mean float function will treat as Integer ,for the float you have to put 1 instead of 0 ,please check below one.

select cast(ROUND(8.89291,1) as float)

Removing decimal places - MSDN, Transact-SQL I need column Desc4 to contain no decimal places (2) INSERT t (desc4) VALUES (3.00000000000000000000) SELECT� CAST () function inside AVG () function The SQL AVG () function returns the average value with default decimal places. The CAST () is used to increase or decrease the decimal places of a value. The CAST () function is much better at preserving the decimal places when converting decimal and numeric data types.

You can use




SQL TRUNCATE - Truncating Numbers in SQL, The TRUNCATE() function returns n truncated to d decimal places. we use the TRUNCATE() function to remove all numbers after the decimal points from the� p is the precision which is the maximum total number of decimal digits that will be stored, both to the left and to the right of the decimal point. The precision has a range from 1 to 38. The default precision is 38. s is the scale which is the number of decimal digits that will be stored to the right of the decimal point.

MySQL ROUND() Function, number, Required. The number to be rounded. decimals, Optional. The number of decimal places to round number to. If omitted, it returns the integer (no� The ISO synonyms for decimal are dec and dec(p, s). numeric is functionally identical to decimal. p (precision) The maximum total number of decimal digits to be stored. This number includes both the left and the right sides of the decimal point. The precision must be a value from 1 through the maximum precision of 38. The default precision is 18.

Understanding the SQL Decimal data type, s stands for Scale, number of digits after the decimal point. The default value of p is 18 and s is 0 and for both these values, the minimum is 1 and� Not clear : the database engine will return the values as raw decimals/reals/etc What you want to do concerns the presentation of the data, thus should not be managed from the database system, but rather from the presentation layer.

TRUNCATE , TRUNC — Snowflake Documentation, Docs �; SQL Function Reference �; All Functions (Alphabetical) �; TRUNCATE , The number of digits the output should include after the decimal point. The default scale_expr is zero, meaning that the function removes all digits after the decimal point. The data type of the returned value is NUMBER(precision, scale ).

  • this is better approach , round not needed