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The NewsHour will talk about Cuomo’s comments and look at the science of climate change again later this week.

What do you think?

If you’d like to comment on this story, we’d love to hear your thoughts on Twitter. Just use the hashtag #NewsHourClimate.

You can watch the NewsHour on PBS.

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Q:

Count and group by a field in a list using Spark

I have a list of objects which contains id and name.
1, Robert
1, Jane
1, David
2, Alex
2, Alice

I need to group the list by ID such that the result is:
1, Robert, Jane, David
2, Alex, Alice

How can I do this using Spark?

A:

You could either use a UDF (I use your example):
def countByFiled(count: Int, names:String):String = names.split(“\\s+”) match {
case Array() => count
case _ => count
}

countByFiled(1)(names)
countByFiled(2)(names)

Or use a Window function:
import org.apache.spark.sql.expressions.Window
val w = Window.partitionBy(“id”).orderBy(“name”)
val counts = df.select($”id”, Window.count().over(w).as(“cnt”)).distinct()

counts.show(false)
+—+—-+
|id |cnt |
+—+—-+
| 1| 2|
| 2|
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