Skewed Joins lead to stragglers in a Spark Job bringing down the overall efficiency of the Job. Here are the five exclusive tips to address Skewed Joins in different situations.
Joins are the one of the most fundamental transformations in a typical data processing routine. A Join operator makes it possible to correlate, enrich and filter across two input datasets. The two input datasets are generally classified as a left dataset and a right dataset based on their placing with respect to the Join clause/operator.
Read more: https://ajaygupta-spark.medium.com/five-tips-to-fasten-your-skewed-joins-in-apache-spark-420f558b219e
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