distinct() vs. dropDuplicates() in Spark. Duplicate rows could be remove or drop from Spark DataFrame using distinct() and dropDuplicates() functions. In this article, we are going to explore how both of these functions work and what their main difference is. Additionally, we will discuss when to use one over the other.
What’s the difference between distinct() and dropDuplicates() in Spark?
The Spark DataFrame API comes with two functions that can be used in order to remove duplicates from a given DataFrame. These are
dropDuplicates() . Even though both methods pretty much do the same job, they actually come with one difference which is quite important in some use cases.
In this article, we are going to explore how both of these functions work and what their main difference is. Additionally, we will discuss when to use one over the other.
Note that the examples that we’ll use to explore these methods have been constructed using the Python API. However, they are fairly simple and thus can be used using the Scala API too (even though some links provided will refer to the former API).
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