[jira] [Closed] (TOREE-457) spark context seen corrupted after load KAfka libraries

["fxoSa (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/TOREE-457?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

fxoSa closed TOREE-457.
-----------------------
       Resolution: Fixed
    Fix Version/s: 0.2.0

It is working with updated versions of libraries

> spark context seen corrupted after load KAfka libraries
> -------------------------------------------------------
>
>                 Key: TOREE-457
>                 URL: https://issues.apache.org/jira/browse/TOREE-457
>             Project: TOREE
>          Issue Type: Bug
>          Components: Kernel
>            Reporter: fxoSa
>            Priority: Minor
>             Fix For: 0.2.0
>
>
> I am trying to set up a jupyter notebook (apache-toree Scala) to access kafka logs from spark a streaming.
> First I add dependencies using AddDeps:
>  
> {code:java}
> %AddDeps org.apache.spark spark-streaming-kafka-0-10_2.11 2.2.0. 
> Marking org.apache.spark:spark-streaming-kafka-0-10_2.11:2.2.0 for download Preparing to fetch from:
> -> file:/tmp/toree_add_deps8235567186565695423/
> -> https://repo1.maven.org/maven2
> -> New file at /tmp/toree_add_deps8235567186565695423/https/repo1.maven.org/maven2/org/apache/spark/spark-streaming-kafka-0-10_2.11/2.2.0/spark-streaming-kafka-0-10_2.11-2.2.0.jar
> {code}
> After that I am able to import successfully part of necesary libraries:
> {code:java}
> import org.apache.spark.SparkConf
> import org.apache.spark.streaming._
> import org.apache.spark.streaming.kafka010._
> {code}
> However code fails when I try to create streaming context:
> {code:java}
> val ssc = new StreamingContext(sc, Seconds(2))
>     Name: Compile Error
> Message: <console>:38: error: overloaded method constructor StreamingContext with alternatives:
>   (path: String,sparkContext: org.apache.spark.org.apache.spark.org.apache.spark.org.apache.spark.org.apache.spark.SparkContext)org.apache.spark.streaming.StreamingContext <and>
>   (path: String,hadoopConf: org.apache.hadoop.conf.Configuration)org.apache.spark.streaming.StreamingContext <and>
>   (conf: org.apache.spark.SparkConf,batchDuration: org.apache.spark.streaming.Duration)org.apache.spark.streaming.StreamingContext <and>
>   (sparkContext: org.apache.spark.org.apache.spark.org.apache.spark.org.apache.spark.org.apache.spark.SparkContext,batchDuration: org.apache.spark.streaming.Duration)org.apache.spark.streaming.StreamingContext
>  cannot be applied to (org.apache.spark.org.apache.spark.org.apache.spark.org.apache.spark.org.apache.spark.SparkContext, org.apache.spark.streaming.Duration)
>        val ssc = new StreamingContext(sc, Seconds(2))
>                  ^
> StackTrace: 
> {code}
> I have try it, in a jupyter docker 
> https://github.com/jupyter/docker-stacks/tree/master/all-spark-notebook
> and in spark cluster set up in Google cloud platform with the same results
> Thanks



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