5 Proven Ways to Write Error-Free Scala/Spark UDFs Today
In a recent project, I developed a metadata-driven data validation framework for Spark, utilizing both Scala and Python. After the initial excitement of creating the framework, I conducted a thorough review and discovered that the User Defined Functions (UDFs) I had crafted were prone to errors in specific situations. To address this, I explored various methods to make the UDFs fail-safe....
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