handling invalid data in dataset
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handling invalid data in dataset
Hi gurus,
I need a suggestion or solution in a design for which Source is a data set and target is Oracle.
The meta data of dataset and the Oracle table is same.
When the dataset is being created with any invalid data to the corresponding data type, some ****** values are assigned to them.
Now, before reaching oracle, how I do can stop propagation of those invalid records into the Oracle?
thanks in advance,
Poova.
I need a suggestion or solution in a design for which Source is a data set and target is Oracle.
The meta data of dataset and the Oracle table is same.
When the dataset is being created with any invalid data to the corresponding data type, some ****** values are assigned to them.
Now, before reaching oracle, how I do can stop propagation of those invalid records into the Oracle?
thanks in advance,
Poova.
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Re: handling invalid data in dataset
You can filter the records with invalid data (*****) using filter stage!Poovalingam wrote:Hi gurus,
I need a suggestion or solution in a design for which Source is a data set and target is Oracle.
The meta data of dataset and the Oracle table is same.
When the dataset is being created with any invalid data to the corresponding data type, some ****** values are assigned to them.
Now, before reaching oracle, how I do can stop propagation of those invalid records into the Oracle?
thanks in advance,
Poova.
RAJ
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Thanks all.
To Prepare dataset, the source is a fixed width file and we captured all data as char data type. Then we used transformer for doing some transformation and to do required type conversion. But some data reaching as *** into the dataset.
Do we need to write filter condition for every column whichever i'm feeling that may contain bad value?
I want to know as well,
1. Doesn't the transformer reject the record when doing type conversion and transformation for invalid data?
2. When invalid data (***) enters into the data set, Will DS throw warning?
Regards,
Poova.
To Prepare dataset, the source is a fixed width file and we captured all data as char data type. Then we used transformer for doing some transformation and to do required type conversion. But some data reaching as *** into the dataset.
![Confused :?](./images/smilies/icon_confused.gif)
Do we need to write filter condition for every column whichever i'm feeling that may contain bad value?
I want to know as well,
1. Doesn't the transformer reject the record when doing type conversion and transformation for invalid data?
2. When invalid data (***) enters into the data set, Will DS throw warning?
Regards,
Poova.
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