In Spark SQL, select() function is used to select one or multiple columns, nested columns, column by index, all columns, from the list, by regular expression from a DataFrame. select()…
In Spark SQL, in order to convert/cast String Type to Integer Type (int), you can use cast() function of Column class, use this function with withColumn(), select(), selectExpr() and SQL…
In PySpark SQL, using the cast() function you can convert the DataFrame column from String Type to Double Type or Float Type. This function takes the argument string representing the…
Spark SQL select() and selectExpr() are used to select the columns from DataFrame and Dataset, In this article, I will explain select() vs selectExpr() differences with examples. Both these are…
In PySpark, select() function is used to select single, multiple, column by index, all columns from the list and the nested columns from a DataFrame, PySpark select() is a transformation…