Chewing gum not containing cocoa

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logdata.filter(line => line.contains("a")).count() val numbs = logdata.filter(line => line.contains("b")).count() println(s"lines with a: $numas, lines with b: $numbs") spark.stop() } } note that applications should define a main() method instead of extending scala.app. subclasses of scala.app may not

work correctly. this program just counts the number of lines containing 'a' and the number containing 'b' in the spark readme. note that you'll need to replace your_spark_home with the location where spark is installed. unlike the earlier examples with the spark shell, which initializes its own sparksession...

https://spark.apache.org/docs/latest/quick-start.html

logdata.filter(line => line.contains("a")).count() val numbs = logdata.filter(line => line.contains("b")).count() println(s"lines with a: $numas, lines with b: $numbs") spark.stop() } } note that applications should define a main() method instead of extending scala.app. subclasses of scala.app may not

work correctly. this program just counts the number of lines containing 'a' and the number containing 'b' in the spark readme. note that you'll need to replace your_spark_home with the location where spark is installed. unlike the earlier examples with the spark shell, which initializes its own sparksession...

http://spark.apache.org/docs/latest/quick-start.html