Difference between ORA-12899 and ORA-01480 - sql

I would like to understand the difference between ORA-12899 and ORA-01480
ORA-12899: value too large for column
ORA-01480: trailing null missing from STR bind value
Based on my understanding, I know about ORA-12899 and how it can come. Lets say if datatype for some column is VARCHAR2(100 BYTE) and I am trying to insert more than 100 BYTE in the column then I am getting ORA-12899.
What about ORA-01480 ? I searchthe ed on internet and and the similar explanation like ORA-12899
From google :
ORA-01480: trailing null missing from STR bind value
Cause: A bind variable of type 5 (null-terminated string) does not contain the terminating null in its buffer.
Maybe you're trying to insert a string in a column that is bigger than the column length. So, the terminating character is not being
inserted at the end of the string.
Both ORA-12899 and ORA-01480 look similar. Can someone please explain the exact difference with an example?

The error:
ORA-01480: trailing null missing from STR bind value
Is for languages such as C or C++ (among many others) which allow low level manipulation of string-like objects.
If you have a VARCHAR2(100) column and you try to pass, to a bind variable, the byte array:
['h','e','l','l','o']
Then you may get the ORA-01480 error because a NUL terminated string is expected and it should have been:
['h','e','l','l','o','\0']
And the NUL character is expected as it allows the SQL engine to determine the length of the VARCHAR2 variable length string.
An example is using Pro*C:
char s[2] = "ab";
EXEC SQL SELECT :s into :s2 FROM dual;
Outputs: ORA-01480: trailing null missing from STR bind value
char s[3] = "ab\0";
EXEC SQL SELECT :s into :s2 FROM dual;
Works.

Related

What is a type of my value 675763582022462206:57 in sql creating data table query?

I am creating a table with several columns in sql:
CREATE TABLE.....
and one of them is going to have values like this: 675763582022462206:57. As you see it has : in it. So what is a type of it? Is it UInt16 or String?
It must be varchar or nvarchar in this case. The database doesn't recognize ":" as a part of a number, unless you say to Windows in advanced region settings that this is your decimal point. If you can store 57 (after ":") in a different column, then you can save the number before ":" as a bigint if you wish
This value can't be stored in a numeric type due to the colon (:), so you'll have to use one of the character types - i.e., a sufficiently long char or varchar.

Error when a field is declared as NULL in where clause

We have a query running on sybase and we get the below error for certain account numbers but works for others
sqlanywhere error 1009145: Data type conversion not possible integer(10,0) to varchar(6,0)
(oselib/hos_dfe.cxx 13811)
So i started debugging it and found out the error was coming from a field in the format of an int( values are like 20,200,721). This field is declared as NULl in the where statment like FieldA is NULL.
So when i changed to STR(FieldA) it started to work and it all good now.
But my question is why would that cause the above error. Its an integer and the statement is only checking for values which are null and the values in the db are [NULL].
Any ideas why that is happening with this field?
This is NOT an integer: '10,000'. It is a string with digits and commas.
This is NOT an integer: '10000'. It is a string with just digits.
Sybase can only convert strings that are all digits to integers, and commas are not digits. (Okay, it can also handle leading negative signs too.) You can remove the commas using replace():
cast(replace(col, ',', '') as int)

ORA-01722: invalid number in column with numbers only?

I did a rather easy view to return only rows where there is number is CONTRACT_ID column. CONTRACT_ID has data type number(8).
CREATE OR REPLACE VIEW cid AS
SELECT *
FROM transactions
WHERE contract_id IS NOT NULL
AND LENGTH(contract_id) > 0;
View works just fine until I scroll down to row ~2950 where I get ORA-01722. Same thing happens if I want to export data to Excel, my file gets only ~2950 rows instead of expected ~20k.
Any idea what might be causing this and how to resolve this issue?
Many thanks!
You wrote too much SQL.. The following will provide all the results you require:
CREATE OR REPLACE VIEW cid AS
SELECT *
FROM transactions
WHERE contract_id IS NOT NULL
You can't LENGTH() a number - a number is either null or it's a value, so you don't need this kind of check.
Passing a number to LENGTH() will turn it into a string first, i.e. LENGTH(TO_CHAR(numbercolumn)). You don't even need a LENGTH() check for null strings, as to oracle NULL string and a zero length string are equivalent, and calling LENGTH() on an empty string or a null, will return null, not 0 (so LENGTH(myNullStr) = 0 doesnt work out; it's not comparing 0 = 0, it's comparing null = 0 and null compared with anything is always false).
The only time this seems to cause confusion is when the string columns in the table are CHAR types rather than VARCHAR types, and people forget that assigning an empty string to a CHAR causes it to become space padded out to the CHAR length hence, not a zero length string any more
First of all, you should remove redundant condition about length(), it's senseless. I'm not sure how it can produce such error, but check whether error disappered after it.
If no, replace star (*) to some field names, say, contract_id. If it will fix error - it would appoint that error source somewhere into removed fields (say, if generated column used).
I cannot imagine how error can be still alive after that, by if so, I'd tried to move it into other tablespace and add into fields list a call of logging function which stores rowid's of rows read - thus check which row produces error.

What does this statement mean in SQL? (isnull(cast(field_name as CHAR), '') = ")

I am new to SQL and I am looking at established queries that we have, can anyone explain what this statement means in the WHERE clause
(isnull(cast(field_name as CHAR), '') = '').
Breaking down each statement:
CAST(field_name AS CHAR) converts the field_name column to a CHAR
This value is then passed as the first argument to the ISNULL() with the second being an empty string ''.
ISNULL(CAST(field_name AS CHAR), '')
This takes the result of the cast, and if it's a NULL value, returns '' instead.
Finally, it checks if that result is equal to ''.
Essentially, it's checking for NULL or empty string values in one fell swoop.
juergen d is correct. I'd add that it tries to cast the field to alphanumeric before it checks if it is null or blank. If the field's data type has no defined conversion to type CHAR, the query will error out. Have a look at this regarding conversions/casts.
T-SQL Data Types and Conversion Info

sql convert error on view tables

SELECT logicalTime, traceValue, unitType, entName
FROM vwSimProjAgentTrace
WHERE valueType = 10
AND agentName ='AtisMesafesi'
AND ( entName = 'Hawk-1')
AND simName IN ('TipSenaryo1_0')
AND logicalTime IN (
SELECT logicalTime
FROM vwSimProjAgentTrace
WHERE valueType = 10 AND agentName ='AtisIrtifasi'
AND ( entName = 'Hawk-1')
AND simName IN ('TipSenaryo1_0')
AND CONVERT(FLOAT , traceValue) > 123
) ORDER BY simName, logicalTime
This is my sql command and table is a view table...
each time i put "convert(float...) part " i get
Msg 8114, Level 16, State 5, Line 1
Error converting data type nvarchar to float.
this error...
One (or more) of the rows has data in the traceValue field that cannot be converted to a float.
Make sure you've used the right combination of dots and commas to signal floating point values, as well as making sure you don't have pure invalid data (text for instance) in that field.
You can try this SQL to find the invalid rows, but there might be cases it won't handle:
SELECT * FROM vwSimProjAgentTrace WHERE NOT ISNUMERIC(traceValue)
You can find the documentation of ISNUMERIC here.
If you look in BoL (books online) at the convert command, you see that a nvarchar conversion to float is an implicit conversion. This means that only "float"-able values can be converted into a float. So, every numeric value (that is within the float range) can be converted. A non-numeric value can not be converted, which is quite logical.
Probably you have some non numeric values in your column. You might see them when you run your query without the convert. Look for something like comma vs dot. In a test scenario a comma instead of a dot gave me some problems.
For an example of isnumeric, look at this sqlfiddle