Are there diagnostic tools to isolate issue with "Invalid character value for cast specification" (Import dataframe from R to SQL) - sql

I am trying to write a dataframe from R to a SQL database. When I try to append the table to the SQL dataframe, I receive the following error:
Error in result_insert_dataframe(rs#ptr, values, batch_rows) :
[Microsoft][ODBC Driver 17 for SQL Server]Invalid character value for cast specification
I understand that this is an issue with one of my field not being formatted correctly or containing incompatible values for SQL. However, it is a very large dataframe with multiple fields, and I am having trouble isolating which is the issue. Does anyone have a suggested workflow or diagnostic tools to help isolate the issue?
Main Question: Are there diagnostic tools in R to help specify/identify which field is triggering an "invalid character value for cast specification" warning when trying to append a multi-variable dataframe in R to a SQL data table?
Edit - here are the data types of the R dataframe compared with the target table:

Related

PowerQuery ODBC Connection - DataSource.Error: decimal value out of range - SQL Query

I created a ODBC connection through PowerQuery. The value column is causing the following error:
DataSource.Error: The ODBC driver returned a decimal value for column X, that we couldn't understand or is out of range.
It seems that the errors are caused mostly by values of around 0 with more than 6 decimal when the data is loaded directly to PowerQuery. If I load the connection directly to an excel table, there are no errors.
The SQL code I am using is simply selecting the desired columns with couple of conditions (SELECT, FROM, WHERE). I am not adept with SQL yet.
Is there a some kind of Format or Rounding I can apply to the selected value column directly in the query so that the data is transformed in a format that PowerQuery is able to read before being loaded to PowerQuery?
Or any other possible solutions to fix this error?
Any input is appreciated.
Thank you.

Error in source oracle connector stage which is performing just an extract

I am facing below error in a job in the source oracle connector stage which is performing just an extract.
The OCI function OCIStmtFetch2 returned status -1.
Error code: 1455, Error message: ORA-01455: converting column
overflows integer datatype. (CC_OraStatement::fetch, file
CC_OraStatement.cpp, line 1,820)
What is the data type in Oracle? Typically Oracle specifies NUMBER, which can have as many as 38 digits. An Integer can have at most 10 digits.
If you import the table definition from Oracle, it will give you a data type for that column with which you can work. Or - if you must use integer - you can use user-defined SQL to CAST that column AS INTEGER, but you may still hit "too large" problems in this case.

Finding the column throwing exception during data migration with SSIS from Oracle to MS SQL

I am working on a data migration project. In current task, I have to select data from n number of tables from Oracle, join them and insert the data into a single SQL table. The number of rows are in millions.
Issue: There is data in Oracle which when we are trying to insert in SQL is giving exception. For example the datatype of the Oracle column is VARCHAR2 whereas in SQL it's int. The data is numbers. But there are few columns which have special characters like ','. This is one such example which will fail when we are trying to insert into SQL table. It's failing for many such columns.
I am using SSIS for this task. I am moving all the error id's of the rows into an error table which are throwing such error as mentioned in above example.
Question: I want the column name for which the insertion is failing for each row. Is there an option in SSIS? On error I want to store the id and the column name in an Error table.
Tried to search on internet, but didn't get anything. In SSIS, we do have option to configure the rows having Error. But didn't find that giving column name option to insert into a error table.
Edit: The data will come on daily basis i.e. the SSIS package will be executed daily.
The Error Output contains many columns providing information about it.
The list of columns includes the columns in the component input, the ErrorCode and ErrorColumn columns added by previous error outputs, and the ErrorCode and ErrorColumn columns added by this component.
If you are using OLEDB Destination, you cannot redirect the error rows while using Fast load option. And since you mentioned that
The number of rows are in millions.
Then it is not recommended to use the Row-by-Row insertion.
If there are few columns, i suggest adding a Data Conversion Transformation and use its Error output to get the error information.
References and helpful links
Configuring Error Output Columns
SSIS how to redirect the rows in OLEDB Destination when the fast load option is turned on and maximum insert commit size set to zero
Error Handling in Data
Error Handling With OLE DB Destinations

SQL Developer Data is not compatible with column definition

I'm trying to insert data into my table but I am receiving this error:
"SQL Developer Data is not compatible with column definition or is not available for a nut nullable column"
The column that is getting this error has data of the form 7391DBDF-40D5-E523-80C2-3863BB43AC67.
I believe this is a uniqueidentifer but but I'm not sure how one would insert this datatype into SQL Developer.
nvm: got it. Use Varchar
Same error importing good data into a number column with SQLDeveloper, problem was not specifying precision and scale on the column.
Solved by setting size to 28,0.

Can't convert String to Numeric/Decimal in SSIS

I have five or six OLE DB Sources with a String[DT_STR], with a length of 500 and 1252 (Latin) as Code Page.
The format of the column is like 0,08 or 0,10 etc etc. As you can see, it is separated with a comma.
All of them are equal except one of them. In this one source, I have a POINT as separation. On this it is working when I set the Data Type in the advanced editor of the OLE DB Source. On another (with comma separated) it is also working, if I set the Data Type in the advanced editor of the OLE DB Source. BUT the weird thing is, that it isn't working with the other sources although they are the same (sperated with comma).
I tested Numeric(18,2) and decimal(2).
Another try to solve the problem with the conversion task and/or the derived column task, failed.
I'm using SQL Server 2008 R2
Slowly, I think SSIS is fooling me :)
Has anyone an idea?
/// EDIT
Here a two screens:
Is working:
click
Isn't working:
click
I would not set the Data Type in the Advanced Editor of the OLE DB Source. I would convert the data in the SQL Code of the OLE DB Source, or in a Script Transformation e.g. using Decimal.TryParse , which would update a new column.
SSIS is unbeleivably fussy over datatypes and trying to mess with its internals is not productive.
Check that there are any spaces in between the commas, so that the SSIS is throwing an error trying to convert the blank space to a number. A blank space does not equal nothing in between spaces.
Redirect error rows and output the data to a file. Then you can examine the data that is being rejected by the SSIS and determine why it's causing error.
Reason for the error
1) Null’s are not properly handled either in the destination database or during SSIS package creation. It is quite possible that the source contains a null database but the destination is not accepting the NULL data leading to build generate above error.
2) Data types between source and destination does not match. For example, source column has varchar data and destination column have an int data type. This can easily generate above error. There are certain kind of datatypes which will automatically convert to another data type and will not generate the error but there are for incompatible datatypes which will generate The value could not be converted because of a potential loss of data. error.
The Issue arises when there is unhandled space or null. I have worked around using the Conditional (Ternary) Operator which checks the length:
LEN(TRIM([Column Name])) >= 1 ? (DT_NUMERIC,38,8)[Column Name] : 0