I have to check for wrong values using regexp_like expression. As far as I am concern I can do this only on strings and my data is saved in database as double.
I tried to cast it
SELECT column
FROM table
WHERE NOT REGEXP_LIKE(CAST(DECFLOAT(column) as VARCHAR(25)), '(\d{6}\.?\d{2})|(\d{7}\.?\d)')
Unfortunately values like 1234567.0 are converted into 1234567 and as a result this query is returning it as a mistake.
The other solution like
SELECT column
FROM table
WHERE NOT REGEXP_LIKE(CAST(CAST(column AS DECIMAL(8,1)) AS VARCHAR(25)), '(\d{6}\.?\d{2})|(\d{7}\.?\d)')
leads to a problem where values like 134567.89 are converted to 1234567.8 and are not returned by the query as an incorrect value.
Is there a way to cast it to varchar without giving it a range?
For 1st Query, Don't Convert column to DECFLOAT.
SELECT column
FROM table
WHERE NOT REGEXP_LIKE(CAST(CAST(column as DECIMAL(8,2)) as VARCHAR(25)), '(\d{6}\.?\d{2})|(\d{7}\.?\d)')
For 2nd Query, Increase the fraction part of the DECIMAL(8,1) to DECIMAL(8,2) to get the desired Result.
SELECT column
FROM tabel
WHERE NOT REGEXP_LIKE(CAST(CAST(column AS DECIMAL(8,2)) AS VARCHAR(25)), '(\d{6}\.?\d{2})|(\d{7}\.?\d)')
Related
I have a reshift table, which has a decimal column of (38, 29), but the original data's maximum Integer part is 6 and scale is 12 i.e Decimal (18,12). But the table is created using the max precision and scale. So all the data in that has 0's at the end of the scale part as padding.
For Example:
12345.123456789112300000000000000000000
All the data in the table is like the above example.
Now I'm retrieving the data from the table using the below query.
select cast(column as decimal(30,6)) from table;
The output I'm getting is
12345.123456
But when I try the below query
select cast(12345.123456789112300000000000000000000 as decimal(30,6)) from table;
The output I'm getting is
12345.123457
I want to know why this is happening. when I cast the column in the table, it is not rounding off to its highest value, it is just truncating.
But when I try with the decimal itself it is truncating and it is rounding off.
I also want to how to achieve the second query's result in the table itself.
So this comes down to when is a cast not a cast. If I cast and integer to an int it does nothing. Casting a varchar to a shorter varchar is nearly as simple as long as the data fits. Casting a decimal to a lower scale decimal is also a simplistic operation as it is not changing the data type, just some attribute of it (scale). What you desire is that Redshift implicitly ROUNDS the values when you make this conversion and it is not. (I'll let the database philosophers debate if this is a bug or not.)
Here's a simple example to highlight this:
drop table if exists goo;
create table goo (rownum int, num decimal(30,6));
insert into goo select 1, 12345.123456789112300000000000000000000::text;
insert into goo select 2, 12345.123456789112300000000000000000000::decimal(38,29);
insert into goo select 3, 12345.123456789112300000000000000000000::double;
select rownum, num::text from goo;
In all 3 of these examples there is an implicit cast to the data type of the column 'num' in the table. However you can see that what is getting into the table is different. Lots of experiments can be set up like this. (Note that I'm casting the result to text to avoid any bench precision changes.)
The answer in your case is to explicitly ROUND() the value.
I've got a field in a table that has a DataType of varchar(10). This field contains numeric values that are formatted as a varchar, for the sole purpose of being used to join two tables together. Some sample data would be:
AcctNum AcctNumChar
2223333 2223333
3324444 3324444
For some records, the table sometimes thinks this field (AcctNumChar) is numeric and the join doesn't work properly. I then have to use an Update statement to re-enter the value as a varchar.
Is there any way to determine whether or not the field has a varchar or numeric value in it, using a query? I'm trying to narrow down which records are faulty without having to wait for one of the users to tell me that their query isn't returning any hits.
You can use isnumeric() for a generic comparison, for instance:
select (case when isnumeric(acctnum) = 1 then cast(acctnum as decimal(10, 0))
end)
In your case, though, you only seem to want integers:
(case when acctnum not like '%[^0-9]%' then cast(acctnum as decimal(10, 0))
end)
However, I would strongly suggest that you update the table to change the data type to a number, which appears to be the correct type for the value. You can also add a computed column as:
alter table t add AcctNum_Number as
(case when acctnum not like '%[^0-9]%' then cast(acctnum as decimal(10, 0))
end)
Then you can use the computed column rather than the character column.
There are several ways to check if varchar column contains numeric value but I recommend to you to us TRY_CONVERT function.
It will give you NULL if the value cannot be converted to number. For example, to get all records that have numeric values, you can do this:
SELECT *
FROM [table]
WHERE TRY_CONVERT(INT, [value]) IS NOT NULL
You can use CAST and CONVERT (Transact-SQL) functions here to solve your purpose.
reference here - https://msdn.microsoft.com/en-IN/library/ms187928.aspx.
IsNumeric worked, TRY_CONVERT didn't (SQL wouldn't recognize it as a built-in function for some reason). Anyway, for the record I ran the following query and got all of my suspect records:
SELECT *
FROM ACCT_LIST
where IsNumeric([ACCT_NUM_CHAR]) = 0
Use PATINDEX function:
DECLARE #s VARCHAR(20) = '123123'
SELECT PATINDEX('%[^0-9]%', #s)
If #s variable will have something different from range 0-9 this function will return the index of first occurence of non digit symbol. If all symbols are digits it will return 0.
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. I tried replace query but that is not working.
I want values like :
12
15
18
20
My replace query :
select height(replace (12.00, '')) from table;
Please help.
Since all your values end with ".00", there will be no rounding issues, this will work
SELECT CAST(columnname AS INT) AS columnname from tablename
to update
UPDATE tablename
SET columnname = CAST(columnname AS INT)
WHERE .....
Here column name must be decimal.
select CAST(columnname AS decimal(38,0)) from table
Simply update with a convert/cast to INT:
UPDATE YOUR_TABLE
SET YOUR_COLUMN = CAST(YOUR_COLUMN AS INT)
WHERE -- some condition is met if required
Or convert:
UPDATE YOUR_TABLE
SET YOUR_COLUMN = CONVERT(INT, YOUR_COLUMN)
WHERE -- some condition is met if required
To test you can do this:
SELECT YOUR_COLUMN AS CurrentValue,
CAST(YOUR_COLUMN AS INT) AS NewValue
FROM YOUR_TABLE
As I understand your question, You have one table with column as datatype decimal(18,9).
And the column contains the data as follows:-
12.00
15.00
18.00
20.00
Now if you want to show record on UI without decimal value means like (12,15,18,20) then there are two options:-
Either cast this column as int in Select Clause
or may be you want to update this column value like (12,15,18,20).
To apply, First very simple just use the cast in select clause
select CAST(count AS INT) from tablename;
But if you want to update your column data with int value then you have to update you column datatype
and to do that
ALTER TABLE tablename ALTER COLUMN columnname decimal(9,0)
Then execute this
UPDATE tablename
SET count = CAST(columnname AS INT)
First of all, you tried to replace the entire 12.00 with '', which isn't going to give your desired results.
Second you are trying to do replace directly on a decimal. Replace must be performed on a string, so you have to CAST.
There are many ways to get your desired results, but this replace would have worked (assuming your column name is "height":
REPLACE(CAST(height as varchar(31)),'.00','')
EDIT:
This script works:
DECLARE #Height decimal(6,2);
SET #Height = 12.00;
SELECT #Height, REPLACE(CAST(#Height AS varchar(31)),'.00','');
If it's a decimal data type and you know it will never contain decimal places you can consider setting the scale property to 0. For example to decimal(18, 0). This will save you from replacing the ".00" characters and the query will be faster. In such case, don't forget to to check if the "prevent saving option" is disabled (SSMS menu "Tools>Options>Designers>Table and database designer>prevent saving changes that require table re-creation").
Othewise, you of course remove it using SQL query:
select replace(cast([height] as varchar), '.00', '') from table
Your data type is DECIMAL with decimal places, say DECIMAL(10,2). The values in your database are 12, 15, 18, and 20.
12 is the same as 12.0 and 12.00 and 12.000 . It is up to the tool you are using to select the data with, how to display the numbers. Yours either defaults to two digits for decimals or it takes the places from your data definition.
If you only want integers in your column, then change its data type to INT. It makes no sense to use DECIMAL then.
If you want integers and decimals in that column then stay with the DECIMAL type. If you don't like the way you are shown the values, then format them in your application. It's up to that client program to decide for instance if to display point or comma for the decimal separator. (The database can be used from different locations.)
Also don't rely on any database or session settings like a decimal separator being a point and not a comma and then use REPLACE on it. That can work for one person and not for the other.
You can use the floor function.
Example:
Select FLOOR(${selectedColumn}) from ${tableName}
I got a sql server error and not sure how to fix it.I got a column 'NAME' in a view 'Products' with a type of nvarchar(30), the query is generated dynamically in code so cannot quite change it.
I got the 'Arithmetic overflow error converting nvarchar to data type numeric.' for the following query:
select * FROM Products WHERE NAME=12.0
however the following query works fine:
select * FROM Products WHERE NAME=112.0
I am quite confused by the error, I know I should put quotes around the number but just want know why the second query works and is there any settings could make the first query work?
update: also
select * FROM Products WHERE NAME=cast('12.0' as decimal(4,2))
doesn't work, but
select * FROM Products WHERE NAME=cast('12.0' as decimal(5,2))
works, any particular reasons?
Many thanks!
SQL Server is trying to convert the values in your table to match the perceived data type of the value coded into your WHERE clause. If you have data values with more numbers (e.g., DECIMAL(5,2)) and you try to convert them to match a value with fewer (e.g., DECIMAL(3,1)), then you will have an overflow.
Consider the following SQL, which will throw an error:
DECLARE #Products TABLE (NAME NVARCHAR(30))
INSERT INTO #Products VALUES ('123.45')
INSERT INTO #Products VALUES ('12.0')
SELECT *
FROM #Products
WHERE NAME = 12.0
Now try this, which will work:
DECLARE #Products TABLE (NAME NVARCHAR(30))
INSERT INTO #Products VALUES ('123.45')
INSERT INTO #Products VALUES ('12.0')
SELECT *
FROM #Products
WHERE NAME = CAST(12.0 AS DECIMAL(5,2))
The difference between these is that SQL Server now accounts for cases where the table contains a number with a higher precision and/or scale than the one specified in the WHERE clause.
EDIT: further reading. Books Online states in the data type definition for DECIMAL and NUMERIC that:
In Transact-SQL statements, a constant with a decimal point is
automatically converted into a numeric data value, using the minimum
precision and scale necessary. For example, the constant 12.345 is
converted into a numeric value with a precision of 5 and a scale of 3.
Therefore, when you issue a query with the constant '12.0', it is being converted to the data type NUMERIC(3,1) and then trying to convert the NVARCHAR value to match.
I have a column in a table with a varchar datatype. It has 15 digits after the decimal point. Now I am having a hard time converting it to a numeric format.. float, double etc.
Does anyone have any suggestions?
Example :
Table1
Column1
-------------------
-28.851540616246499
-22.857142857142858
-26.923076923076923
76.19047619047619
I tried using the following statements and it doesn't seem to work :
update table1
set Column1 = Convert(float,column1)..
Any suggestions ?
You can use the decimal data type and specify the precision to state how many digits are after the decimal point. So you could use decimal(28,20) for example, which would hold 28 digits with 20 of them after the decimal point.
Here's a SQL Fiddle, showing your data in decimal format.
Fiddle sample:
create table Table1(MyValues varchar(100))
insert into Table1(MyValues)
values
('-28.851540616246499'),
('-22.857142857142858'),
('-26.923076923076923'),
('76.19047619047619')
So the values are held as varchar in this table, but you can cast it to decimal as long as they are all valid values, like so:
select cast(MyValues as decimal(28,20)) as DecimalValues
from table1
Your Sample
Looking at your sample update statement, you wouldn't be able to convert the values from varchar to a numeric type and insert them back in to the same column, as the column is of type varchar. You would be better off adding a new column with a numeric data type and updating that.
So if you had 2 columns:
create table Table1(MyValues varchar(100), DecimalValues decimal(28,20))
You could do the below to update the numeric column with the nvarchar values that have been cast to decimal:
update Table1
set DecimalValues = cast(MyValues as decimal(28,20))
I think you're trying to actually change the data type of that column?
If that is the case you want to ALTER the table and change the column type over to float, like so:
alter table table1
alter column column1 float
See fiddle: http://sqlfiddle.com/#!6/637e6/1/0
You would use CONVERT if you're changing the text values to numbers for temporary use within a query (not to actually permanently change the data).