How to Use UDF in Spark Without Register Them
This article will show a code snippet on how to use UDF in Spark without registering them.
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Here, we will demonstrate the use of UDF via a small example.
Use Case: We need to change the value of an existing column of DF/DS to add some prefix or suffix to the existing value in a new column.
// code snippet how to create UDF in Spark without registering them
Note: We can also change the type from String to any other supported type, as per individual requirements. Make sure while developing that we handle
null cases, as this is a common cause of errors. UDFs are a black box for the Spark engine, whereas functions that take a
Column argument and return a
Column are not a black box for Spark. It is always recommended to use Spark's Native API/Expression over UDF's with contrast to performance parameters.
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