User-defined functions (UDFs) are a key feature of most SQL environments to extend the system's built-in functionality. UDFs allow developers to enable new functions in higher level languages such as SQL by abstracting their lower level language implementations. Apache Spark is no exception, and offers a wide range of options for integrating UDFs with Spark SQL workflows. In this blog post, we'll review simple examples of Apache Spark UDF and UDAF (user-defined aggregate function) implementations in Python, Read more The post Working with UDFs in Apache Spark appeared first on Cloudera Engineering Blog.
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This article is related to
Hadoop,Spark
Hadoop,Spark
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