PySpark RDD Transformations with examples
PySpark RDD Transformations are lazy evaluation and is used to transform/update from one RDD into another. When executed on RDD, it results in a single or multiple new RDD. Since…
PySpark RDD Transformations are lazy evaluation and is used to transform/update from one RDD into another. When executed on RDD, it results in a single or multiple new RDD. Since…
Spark map() and mapPartitions() transformations apply the function on each element/record/row of the DataFrame/Dataset and returns the new DataFrame/Dataset, In this article, I will explain the difference between map() vs…
RDD Transformations are Spark operations when executed on RDD, it results in a single or multiple new RDD's. Since RDD are immutable in nature, transformations always create new RDD without…
In this article, I will explain the usage of the Spark SQL map functions map(), map_keys(), map_values(), map_contact(), map_from_entries() on DataFrame column using Scala example. Though I've explained here with Scala, a similar method could be…