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
Related
I am running an insert statement to populate records into a table using SQL Server 2012. In table 1 that has all the records, the datatype is VARCHAR(5000), and I have done a max(len) to determine that the maximum length of data it contains is about 3000.
In table 2 that the records should go into, the datatype for the field is VARCHAR(5000), which mirrors what's in Table 1.
I am getting the dreaded binary or string data would be truncated message, but my destination table field is large enough to store this data.
When I remove this field from the insert statement, the insert statement works fine and my data moves from Table 1 to Table 2 as expected, but including the field causes this error.
Has anyone come across this peculiar case before? Is it possible that the string field has some sort of weird characters in it that could be causing this error.
Thanks
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.
I've got an Sqlite DB where the data looks purely numeric (integers) and the column is typed TEXT. I would like to type it as INTEGER if possible.
What query can check if every cell of a certain column can be successfully casted to INT?
SELECT * FROM table WHERE INT(column) != NULL
Alternatively I would like to check if the cells are numeric (don't have any letters/symbols)
SELECT * FROM table WHERE column NOT LIKE "%a-z%"
As a side note, I wanted to do this to reduce the size of the DB, but since Sqlite uses dynamic typing (per cell typing) would this have ANY effect on the size of the DB?
You have to check whether all values can be converted into an integer:
SELECT *
FROM MyTable
WHERE CAST(MyColumn AS INTEGER) IS NOT MyColumn;
I have an imported database which contain lots of float field.
When I imported it, all the float field converted to string and I need to convert it back.
I try alter table to change the data type but I keep getting error (even if the row is empty or null).
EDIT : The server is curently down so I can't get the error message at the moment. My DBMS is SQL Server.
you can do so if all data are really numeric type.
There may be some data which hv null --no problem here.
There may be some data which are blank(('') but not null--problem is because of this.
First you make a select query to retrieve all data which are blank
say,
Select * from table1 where col=''
now update these rows with null
update table1 set col=null where col=''
After this,I think you can easily convert it to float
References: error converting data type varchar column to float.
You can first add a new field in your table with datatype float and then update it using convert function:
UPDATE #tbl
SET
num = convert(FLOAT, text)
SELECT *
FROM
#tbl
I'm running a pretty standard
INSERT INTO [table] (col1, col2, ...coln)
select * from #temp
and I'm getting the following error:
Msg 245, Level 16, State 1, Line 1
Conversion failed when converting the varchar value 'NULL' to data type int.
I understand the error, but want to know why the column that is causing issue isn't identified by the error message. Is there an easy way to find which column contains the naughty null or is this just a ploy to make me look like I'm being productive at work while I really just spent 30 minutes looking at a huge result set without getting anywhere?
Edit: Thanks for the help guys, but no one really answered the question. Do all RDBMS's spew out similar error messages are or some more helpful? Its 2012...trial and error over possibly thousands of columns should be dead!
I would look at how you populate the temp table. You appear to be getting a value of 'null' not NULL. If this data is coming from a Excel file, this is a common problem. I usually clease the data first by updating this way:
Update #temp
set field1 = NULL
where field1 = 'NULL'
If you want to do all in the same update command, then
Update #temp
set field1 = NULLIF(field1, 'NULL')
, field2 = NULLIF(field2, 'NULL')
, field3 = NULLIF(field3, 'NULL')
It shouldn't take you 30 minutes to figure out where the null is. You only have so many columns. Just start selecting from #temp WHERE col1 IS NULL, then WHERE col2 is.
If #temp has a VARCHAR column you're trying to put into in INT column then cast it. If there are NULLs you might want to handle them with an CAST(ISNULL(VarCharColumn, '0') AS INT) or something. If an INT column allows NULLS, then just the cast to INT should be enough (as long as all the values are NULL or a valid int).
If you write your INSERT with a little bit more care then you should be able to get the results you want.
You're going to need some trial and error as #Jeremy pointed out. But you can winnow down the choices.
The error message says that the problem is a NULL in a varchar column. You can restrict your searching to just the varchar columns in #temp: select * from #temp where col1 is null or col3 is null
Second, the problem is also happening when the database engine tries to convert a null varchar value to an integer not null. Compare the definitions of both tables to see where a varchar in #temp matches up with an integer not null in the other table.
This, however, is suspicious. Why are you trying to convert text to numbers? If that's what you really want to do, you will probably need an explicit cast from textual to numeric.
If you run these two statements before your query you will see null values on those columns in the results set:
SET ARITHABORT OFF
SET ANSI_WARNINGS OFF