Duplicated Spark Context with IntelliJ in Worksheet - scala

Question

I have the following worksheet in IntelliJ:
import org.apache.spark.sql.SQLContext
import org.apache.spark.{SparkConf, SparkContext}
/** Lazily instantiated singleton instance of SQLContext */
object SQLContextSingleton {
#transient private var instance: SQLContext = _
def getInstance(sparkContext: SparkContext): SQLContext = {
if (instance == null) {
instance = new SQLContext(sparkContext)
}
instance
}
}
val conf = new SparkConf().
setAppName("Scala Wooksheet").
setMaster("local[*]")
val sc = new SparkContext(conf)
val sqlContext = new SQLContext(sc)
val df = sqlContext.read.json("/Users/someuser/some.json")
df.show
This code works in the REPL, but seems to run only the first time (with some other errors). Each subsequent time, the error is:
16/04/13 11:04:57 WARN SparkContext: Another SparkContext is being constructed (or threw an exception in its constructor). This may indicate an error, since only one SparkContext may be running in this JVM (see SPARK-2243). The other SparkContext was created at:
org.apache.spark.SparkContext.<init>(SparkContext.scala:82)
How can I find the context already in use?
Note: I hear others say to use conf.set("spark.driver.allowMultipleContexts","true") but this seems to be a solution of increasing memory usage (like uncollected garbage).
Is there a better way?

Answer 1

I was having the same problem trying to get code executed with Spark in Scala Worksheet in IntelliJ IDEA (CE 2016.3.4).
The solution for the duplicate Spark context creation was to uncheck 'Run worksheet in the compiler process' checkbox in Settings -> Languages and Frameworks -> Scala -> Worksheet. I have also tested the other Worksheet settings and they had no effect on the problem of duplicate Spark context creation.
I also did not put sc.stop() in the Worksheet.
But I had to set master and appName parameters in the conf for it to work.
Here is the Worksheet version of the code from SimpleApp.scala from Spark Quick Start
import org.apache.spark.{SparkConf, SparkContext}
val conf = new SparkConf()
conf.setMaster("local[*]")
conf.setAppName("Simple Application")
val sc = new SparkContext(conf)
val logFile = "/opt/spark-latest/README.md"
val logData = sc.textFile(logFile).cache()
val numAs = 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")
I have used the same simple.sbt from the guide for importing the dependencies to IntelliJ IDEA.
Here is a screenshot of the functioning Scala Worksheet with Spark:
UPDATE for IntelliJ CE 2017.1 (Worksheet in REPL mode)
In 2017.1 Intellij introduced REPL mode for Worksheet. I have tested the same code with 'Use REPL' option checked. For this mode to run you need to leave the 'Run worksheet in the compiler process' checkbox in Worksheet Settings I have described above checked (it is by default).
The code runs fine in Worksheet REPL mode.
Here is the Screenshot:

Answer 2

As detectivebag stated in this git post you can fix this problem by switching your worksheets to run in only 'eclipse compatibility mode':
1) open preferences
2) under Languages and Frameworks select scala
3) under the worksheet tab uncheck everything except 'Use "eclipse compatibility" mode'