Round And Show To 2 Decimal Places? [duplicate] - sql

This question already has answers here:
Rounding off to two decimal places in SQL
(16 answers)
Formatting an SQL numeric query result with an arbitrary number of decimal places
(6 answers)
Closed 8 years ago.
I have a small question to ask. How to round a numeric field upto 2 decimal places, and also show it with 2 decimal places only
For example the following would return 255.88000000000
select round(255.87908765444,2)
How to get 255.88 only?

All you need is:
CAST(255.87908765444 as decimal(18,2)).
When you convert data types in which the target data type has fewer decimal places than the source data type, the value is rounded.
From microsoft

If you need it as a string, this should work:
select format(round(255.87908765444,2), 'N2');

use string function substring & char index
select SUBSTRING(convert(varchar(20),round(255.87908765444,2)),
1,
CHARINDEX('.',convert(varchar(20),255.87908765444))+2)

select round(convert(decimal(18,2),255.87908765444),2)

Yes We can use the above solution is..
ROUND(CAST(psd.Price AS DECIMAL(20,4)), 2)

Related

How to convert string to float in Google Big Query ? (SAFE_CAST is not working) [duplicate]

This question already has answers here:
How to deal with semantic version data type in BigQuery
(2 answers)
Closed 1 year ago.
I need to convert a column of type string to float so that I could perform mathematical calculations like >, <, = etc on it. I tried SAFE_CAST, but it results nothing. Could anyone please help in solving this.
What I have:
column (TYPE STRING)
11.2.1
11.66.3
2.56.4
11.67.7
What I need:
column (TYPE FLOAT64)
11.2.1
11.66.3
2.56.4
11.67.7
I need this conversion mainly to perform mathematical comparison.
If these are essentially nested version numbers, then one approach is to normalize the values in the string so they are zero-padded. Then regular comparisons work.
Assuming four digits is sufficient for each number, you can use:
select (select string_agg(lpad(cast(el as string), 4, '0'), '.')
from unnest(split(t.val, '.')) el
) str
from (select '11.2.1' as val union all select '11.67.7') t

difference between like and = [duplicate]

This question already has answers here:
Equals(=) vs. LIKE
(16 answers)
WHERE clause on SQL Server "Text" data type
(7 answers)
Closed 7 years ago.
what is the differences between = to like ?
thanks for help :)
by the way if it's help , the error i get is: the data types text and varchar are incompatible in the equal to operator [msg 402]
1:
Like
The LIKE operator is used to search for a specified pattern in a column.
Where
The WHERE clause is used to extract only those records that fulfill a specified criterion.
In your case the first query do not work is because no records match the criteria you are searching.

postgresql round division

I want to divide values and round them up to 8 decimal places but i found that some divisions return in scientific notation.
How can i always get round division without scientific notation?
select round( 123/100000000::decimal, 8 )
returns 0.00000123 as expected.
select round( 1/100000000::decimal, 8 )
returns 1e-8 but... i was expecting 0.00000001
How can i round 1/100000000 to 8 decimal places and return 0.00000001 ?
sql fiddle: http://sqlfiddle.com/#!15/9eecb7db59d16c80417c72d1e1f4fbf1/1534
Thanks for help.
best,
Actually, when I try your code in Postgres 9.3.4 using pgAdmin, both return the values you want. The values are not in exponential notation. Hence, I suspect this is an issue with your application, not the database.
An easy way to check is to put the value as a string:
select round( 1/100000000::decimal, 8 )::text
This should not return exponential notation.
Probably second case go beyond precision range 8.
You can check this Question Selecting floating point numbers in decimal form
Also what version are you working with because in pgAdmin 9.2 I get a different result

How do I count decimal places in SQL?

I have a column X which is full of floats with decimals places ranging from 0 (no decimals) to 6 (maximum). I can count on the fact that there are no floats with greater than 6 decimal places. Given that, how do I make a new column such that it tells me how many digits come after the decimal?
I have seen some threads suggesting that I use CAST to convert the float to a string, then parse the string to count the length of the string that comes after the decimal. Is this the best way to go?
You can use something like this:
declare #v sql_variant
set #v=0.1242311
select SQL_VARIANT_PROPERTY(#v, 'Scale') as Scale
This will return 7.
I tried to make the above query work with a float column but couldn't get it working as expected. It only works with a sql_variant column as you can see here: http://sqlfiddle.com/#!6/5c62c/2
So, I proceeded to find another way and building upon this answer, I got this:
SELECT value,
LEN(
CAST(
CAST(
REVERSE(
CONVERT(VARCHAR(50), value, 128)
) AS float
) AS bigint
)
) as Decimals
FROM Numbers
Here's a SQL Fiddle to test this out: http://sqlfiddle.com/#!6/23d4f/29
To account for that little quirk, here's a modified version that will handle the case when the float value has no decimal part:
SELECT value,
Decimals = CASE Charindex('.', value)
WHEN 0 THEN 0
ELSE
Len (
Cast(
Cast(
Reverse(CONVERT(VARCHAR(50), value, 128)) AS FLOAT
) AS BIGINT
)
)
END
FROM numbers
Here's the accompanying SQL Fiddle: http://sqlfiddle.com/#!6/10d54/11
This thread is also using CAST, but I found the answer interesting:
http://www.sqlservercentral.com/Forums/Topic314390-8-1.aspx
DECLARE #Places INT
SELECT TOP 1000000 #Places = FLOOR(LOG10(REVERSE(ABS(SomeNumber)+1)))+1
FROM dbo.BigTest
and in ORACLE:
SELECT FLOOR(LOG(10,REVERSE(CAST(ABS(.56544)+1 as varchar(50))))) + 1 from DUAL
A float is just representing a real number. There is no meaning to the number of decimal places of a real number. In particular the real number 3 can have six decimal places, 3.000000, it's just that all the decimal places are zero.
You may have a display conversion which is not showing the right most zero values in the decimal.
Note also that the reason there is a maximum of 6 decimal places is that the seventh is imprecise, so the display conversion will not commit to a seventh decimal place value.
Also note that floats are stored in binary, and they actually have binary places to the right of a binary point. The decimal display is an approximation of the binary rational in the float storage which is in turn an approximation of a real number.
So the point is, there really is no sense of how many decimal places a float value has. If you do the conversion to a string (say using the CAST) you could count the decimal places. That really would be the best approach for what you are trying to do.
I answered this before, but I can tell from the comments that it's a little unclear. Over time I found a better way to express this.
Consider pi as
(a) 3.141592653590
This shows pi as 11 decimal places. However this was rounded to 12 decimal places, as pi, to 14 digits is
(b) 3.1415926535897932
A computer or database stores values in binary. For a single precision float, pi would be stored as
(c) 3.141592739105224609375
This is actually rounded up to the closest value that a single precision can store, just as we rounded in (a). The next lowest number a single precision can store is
(d) 3.141592502593994140625
So, when you are trying to count the number of decimal places, you are trying to find how many decimal places, after which all remaining decimals would be zero. However, since the number may need to be rounded to store it, it does not represent the correct value.
Numbers also introduce rounding error as mathematical operations are done, including converting from decimal to binary when inputting the number, and converting from binary to decimal when displaying the value.
You cannot reliably find the number of decimal places a number in a database has, because it is approximated to round it to store in a limited amount of storage. The difference between the real value, or even the exact binary value in the database will be rounded to represent it in decimal. There could always be more decimal digits which are missing from rounding, so you don't know when the zeros would have no more non-zero digits following it.
Solution for Oracle but you got the idea. trunc() removes decimal part in Oracle.
select *
from your_table
where (your_field*1000000 - trunc(your_field*1000000)) <> 0;
The idea of the query: Will there be any decimals left after you multiply by 1 000 000.
Another way I found is
SELECT 1.110000 , LEN(PARSENAME(Cast(1.110000 as float),1)) AS Count_AFTER_DECIMAL
I've noticed that Kshitij Manvelikar's answer has a bug. If there are no decimal places, instead of returning 0, it returns the total number of characters in the number.
So improving upon it:
Case When (SomeNumber = Cast(SomeNumber As Integer)) Then 0 Else LEN(PARSENAME(Cast(SomeNumber as float),1)) End
Here's another Oracle example. As I always warn non-Oracle users before they start screaming at me and downvoting etc... the SUBSTRING and INSTRING are ANSI SQL standard functions and can be used in any SQL. The Dual table can be replaced with any other table or created. Here's the link to SQL SERVER blog whre i copied dual table code from: http://blog.sqlauthority.com/2010/07/20/sql-server-select-from-dual-dual-equivalent/
CREATE TABLE DUAL
(
DUMMY VARCHAR(1)
)
GO
INSERT INTO DUAL (DUMMY)
VALUES ('X')
GO
The length after dot or decimal place is returned by this query.
The str can be converted to_number(str) if required. You can also get the length of the string before dot-decimal place - change code to LENGTH(SUBSTR(str, 1, dot_pos))-1 and remove +1 in INSTR part:
SELECT str, LENGTH(SUBSTR(str, dot_pos)) str_length_after_dot FROM
(
SELECT '000.000789' as str
, INSTR('000.000789', '.')+1 dot_pos
FROM dual
)
/
SQL>
STR STR_LENGTH_AFTER_DOT
----------------------------------
000.000789 6
You already have answers and examples about casting etc...
This question asks of regular SQL, but I needed a solution for SQLite. SQLite has neither a log10 function, nor a reverse string function builtin, so most of the answers here don't work. My solution is similar to Art's answer, and as a matter of fact, similar to what phan describes in the question body. It works by converting the floating point value (in SQLite, a "REAL" value) to text, and then counting the caracters after a decimal point.
For a column named "Column" from a table named "Table", the following query will produce a the count of each row's decimal places:
select
length(
substr(
cast(Column as text),
instr(cast(Column as text), '.')+1
)
) as "Column-precision" from "Table";
The code will cast the column as text, then get the index of a period (.) in the text, and fetch the substring from that point on to the end of the text. Then, it calculates the length of the result.
Remember to limit 100 if you don't want it to run for the entire table!
It's not a perfect solution; for example, it considers "10.0" as having 1 decimal place, even if it's only a 0. However, this is actually what I needed, so it wasn't a concern to me.
Hopefully this is useful to someone :)
Probably doesn't work well for floats, but I used this approach as a quick and dirty way to find number of significant decimal places in a decimal type in SQL Server. Last parameter of round function if not 0 indicates to truncate rather than round.
CASE
WHEN col = round(col, 1, 1) THEN 1
WHEN col = round(col, 2, 1) THEN 2
WHEN col = round(col, 3, 1) THEN 3
...
ELSE null END

Encountered arithmetic overflow error using decimal datatype in SQL server 2008

I have a column declared as decimal(4,4). Currently it stores 0.0400 as the value. Now I need to update the value stored from 0.0400 to 9.95.I used the following query :
Update <tablename>
set <columnname>= 9.95
where <condition>
When I try to execute, I get the following error :
Arithmetic overflow error converting numeric to data type numeric.
The statement has been terminated.
Kindly help.
Defining a column as decimal(4,4) is the equivalent of saying
I will have 4 digits in total, of which 4 come after the decimal point
To represent 9.95, you'd need to store it as 9.9500 to satisfy the '4 decimal places' condition. But this now exceeds the 'max 4 digits' condition and so can't be converted.
You'd need at least decimal(5, 4) to store 9.95 as a decimal in this way.
If you write decimal(4,4), what the database hears is:
There are four digits total
All four of them are behind the decimal separator
So a decimal(4,4) can store the range 0.0000 to 0.9999 (and its negative equivalent). But 9.95 is outside that range, so it will return an error.
I had similar issue few years ago, here is my understanding.
Decimal(TotalDigitsIncludingDecimal,DecimalPlaces)
Eg: Value = 50.05 declare Decimal(4,2)
Eg: Value = 5000.0005 declare Decimal(8,4)
Decimal(6,2) means:
At most 4 digits to the left of the decimal point, since you can have 2 to the right of the decimal point. (even if you don't see them, or use them)
It is VERY wrong to say "you can have 6 digits total".
12345 is less than 6 digits total. But it'll overflow.
I'm not sure why SQL didn't just make it "Decimal(left, right)" and you would instantly see the limits you can store there.