I'm writing a dynamic sql pivot table query with a dataset. But when a nvarchar column value is used on the pivot, when the column value is larger than 128 it gives below error
The identifier that starts with <> is too long. Maximum length is 128.
Any workaround which can resolve this?
I'm not sure exactly how your tables look, some sample code and more detail would be good.
But, just based on what you have here, you might try changing your "nvarchar" column in the original table to "float".
Like so;
ALTER TABLE YourTableName
ALTER COLUMN YourColumnName FLOAT
I am using this method to pivot two values in a "VIEW" that are being used for a pie chart in a C# Windows Application.
Hope this helps.
Related
In application I am working on.
I have to input from user through excel and first put it in temporary sql table & then from temporary table to final target table.
My query is failing while putting data from temporary table to target table.
Because some values present in temporary table are out of range of columns in target table.
How can I check if values present in temporary table are within range of column of target table?
I have to check like this
20 < len(temporary_table.column1) < 50
or is there any better way
If you are using SQL server you can use below query for data checking.
temporary_table.column1 between 20 and 50
If you are looking based on the column max length. For example, your columns have datatype varchar(100) then you can use the condition like this
where len(temporary_table.column1)<=100
Extending on the above answer you can just use col_length instead of hard coding the value on the target column. This makes it more automated and less prone to mistakes (entering a value mistakenly)
where len(temporary_table.column1) <= COL_LENGTH ( 'target_table' , 'column1' )
I have a table in my SQL Server database. I am showing my table with some data in image called input.
And from this input I want to add one derived column in that column the data should be below format. I am showing my expected output in image called output.
How can I achieve my expected output with a SQL query?
We have lots of records in the table, but the maximum length of CODE column is 4. Means the last value in that column is 9999 only.
Please suggest how I can get my expected output with a simple SQL query.
Best Regards,
Phani Kumar.
SELECT *,
'C' + RIGHT('000'+CONVERT(VARCHAR(4),Code),4) [YourColumn]
FROM dbo.YourTable;
the following function deletes all blanks in a text or varchar column and returns the modified text/varchar as an int:
select condense_and_change_to_int(number_as_text_column) from mytable;
This exact query does work.
Though my goal is to apply this function to all rows of a column in order to consistently change its values. How would I do this? Is it possible with the UPDATE-clause, or do i need to do this within a function itself? I tried the following:
UPDATE mytable
SET column_to_be_modiefied = condense_and_change_to_int(column_to_be_modiefied);
Basically i wanted to input the value of the current row, modify it and save it to the column permanantly.
I'd welcome all ideas regarding how to solve scenarios like these. I'm working with postgresql (but welcome also more general solutions).
Is it possible with an update? Well, yes and sort-of.
From your description, the input to the function is a string of some sort. The output is a number. In general, numbers should be assigned to columns with a number type. The assumption is that the column in question is a number.
However, your update should work. The result will be a string representation of the number.
After running the update, you can change the column type, with something like:
alter table mytable alter column column_to_be_modiefied int;
I have two a table and a view . The table if of two rows of datatypes nvarchar and money. I have being updating the table by selecting from the view like below.
Insert into MyTable
Select * from MyView
Recently, this update fails due to an error "String or binary data would be truncated." However, when i modified by select statement to something like.
Select * from Myview WHERE Column is not null
OR
Select * from Myview WHERE Column > 0
The above work with a warning saying Warning: Null value is eliminated by an aggregate or other SET operation. . It occurred to me that may may be one of the null value records contain something that's not null. My table column is of money type and accept null. I presumed the error may be due to something that's not of money data type. The record is huge. Is there any way i can filter and return those aliens records?
I also i learnt that i can eliminate the error by turning ANSI WARNING SETTION ON & OFF Here . My concern is wouldn't that result in loss of data. Please any help would be appreciated.
String or binary data would be truncated happened because the data coming from the MyView is larger than the column size in MyTable
Use
Select Max(Len(FieldName)) From MyTable
to check the maximum length of the nvarchar field in the MyTable
Or you can use Left when inserting data something Llike this
Insert into MyTable
Select Left(FieldName,50), Column1 from MyView
Note the 50 should be the size of the nvarchar field in MyTable
String or binary data would be truncated is a very common error. It usually happens when we try to insert any data in string (varchar,nvarchar,char,nchar) data type column which is more than size of the column. So you need to check the data size with respect to the column width and identify which column is creating problem and fix it.
Here is another thread of the same problem as yours in stackoverflow.
string or binary data would be truncated
Hope this will help.
Regards
looks like the data in some column in table MyView exceeds the limit of the corresponding one in table MyTable
I have a column which I believe has been declared wrongly. It contains data and I do not wish to lose the data.
I wish to change the definition from varchar(max) to varchar(an integer). I was under the impression I cannot just alter the column type?
Is the best method to create a temp column, "column2", transfer the data to this column, from the column with the problematic type, delete the problem column and then rename the temp column to the original problematic column?
If so, how do I copy the values from the problem column to the new column?
EDIT: For anyone with same problem, you can just use the ALTER statements.
As long as the data types are somewhat "related" - yes, you can absolutely do this.
You can change an INT to a BIGINT - the value range of the second type is larger, so you're not in danger of "losing" any data.
You can change a VARCHAR(50) to a VARCHAR(200) - again, types are compatible, size is getting bigger - no risk of truncating anything.
Basically, you just need
ALTER TABLE dbo.YourTable
ALTER COLUMN YourColumn VARCHAR(200) NULL
or whatever. As long as you don't have any string longer than those 200 characters, you'll be fine. Not sure what happens if you did have longer strings - either the conversion will fail with an error, or it will go ahead and tell you that some data might have been truncated. So I suggest you first try this on a copy of your data :-)
It gets a bit trickier if you need to change a VARCHAR to an INT or something like that - obviously, if you have column values that don't "fit" into the new type, the conversion will fail. But even using a separate "temporary" new column won't fix this - you need to deal with those "non-compatible" cases somehow (ignore them, leave NULL in there, set them to a default value - something).
Also, switching between VARCHAR and NVARCHAR can get tricky if you have e.g. non-Western European characters - you might lose certain entries upon conversion, since they can't be represented in the other format, or the "default" conversion from one type to the other doesn't work as expected.
Calculate the max data length store int that column of that table.
Select max(len(fieldname)) from tablename
Now you can decrease the size of that column up to result got in previous query.
ALTER TABLE dbo.YourTable
ALTER COLUMN YourColumn VARCHAR(200) NULL
According to the PostgreSQL docs, you can simply alter table
ALTER TABLE products ALTER COLUMN price TYPE numeric(10,2);
But here's the thing
This will succeed only if each existing entry in the column can be converted to the new type by an implicit cast. If a more complex conversion is needed, you can add a USING clause that specifies how to compute the new values from the old.
add a temp column2 with type varchar(NN), run update tbl set column2 = column, check if any error happens; if everything is fine, alter your original column, copy data back and remove column2.