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Execute Apache Spark in a Scala IDE worksheet
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| package org.apache.spark.graphx | |
| import org.apache.spark.SparkContext | |
| import org.apache.spark.SparkContext._ | |
| import org.apache.spark.SparkConf | |
| import org.apache.spark.rdd.RDD | |
| import org.apache.spark._ | |
| object repl { | |
| val sc = new SparkContext("local", "test") //> sc : org.apache.spark.SparkContext = org.apache.spark.SparkContext@3724af13 | |
| //| | |
| val vertices = sc.parallelize(1L to 5L) //> vertices : org.apache.spark.rdd.RDD[Long] = ParallelCollectionRDD[0] at par | |
| //| allelize at org.apache.spark.graphx.repl.scala:15 | |
| println(vertices.count) //> 5 | |
| } |
Yes, it solved it for me also. There are 4 options there (IntelliJ Idea Community edition 2016.3 on MacOs):
- Run worksheet in the compiler
- Run worksheet in the interactive mode
- Use "eclipse compatibility" mode
- Treat Scala scratch files as worksheet files.
It worked for me when I checked only the third option and left the other three unchecked.
Still works! Thank you!
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@detectivebag eclipse compatibility mode solves the issue, thanks!