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- Collect (Action) - Return all the elements of the dataset as an array at the driver program. This is usually useful after a filter or other operation that returns a sufficiently small subset of the data. spark-sql doc. select (*cols) (transformation) - Projects a set of expressions and returns a new DataFrame.
Code sample
df.select('*').collect()[Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]df.select('name', 'age').collect()[Row(name=u'Alice', age=2), Row(name=u'Bob', age=5)]df.select(df.name, (df.age + 10).alias('age')).collect()...Explore further
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