Spark – Extract DataFrame Column as List
Let's see how to convert/extract the Spark DataFrame column as a List (Scala/Java Collection), there are multiple ways to convert…
Let's see how to convert/extract the Spark DataFrame column as a List (Scala/Java Collection), there are multiple ways to convert…
In Spark or PySpark, you can use show(n) to get the top or first N (5,10,100 ..) rows of the…
In Spark SQL, select() function is used to select one or multiple columns, nested columns, column by index, all columns,…
In Spark SQL, in order to convert/cast String Type to Integer Type (int), you can use cast() function of Column…
In PySpark SQL, using the cast() function you can convert the DataFrame column from String Type to Double Type or…
What is the difference between Spark map() vs flatMap() is a most asked interview question, if you are taking an…
The difference between Client vs Cluster deploy modes in Spark/PySpark is the most asked Spark interview question - Spark deployment mode…
Spark/PySpark partitioning is a way to split the data into multiple partitions so that you can execute transformations on multiple…
Let's learn what is the difference between PySpark repartition() vs partitionBy() with examples. PySpark repartition() is a DataFrame method that…
PySpark partitionBy() is a function of pyspark.sql.DataFrameWriter class which is used to partition the large dataset (DataFrame) into smaller files…