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https://issues.apache.org/jira/browse/SPARK-5082?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14265549#comment-14265549
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yangping wu commented on SPARK-5082:
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Yes, I also found the pull after I created the issue.
> Minor typo in the Tuning Spark document about Data Serialization
> ----------------------------------------------------------------
>
> Key: SPARK-5082
> URL: https://issues.apache.org/jira/browse/SPARK-5082
> Project: Spark
> Issue Type: Bug
> Components: Documentation
> Affects Versions: 1.2.0
> Reporter: yangping wu
> Priority: Trivial
> Original Estimate: 8h
> Remaining Estimate: 8h
>
> The latest documentation for *Tuning Spark* has some error
> entry(http://spark.apache.org/docs/latest/tuning.html) in the *Data
> Serialization*: section:
> {code}
> val conf = new SparkConf().setMaster(...).setAppName(...)
> conf.registerKryoClasses(Seq(classOf[MyClass1], classOf[MyClass2]))
> val sc = new SparkContext(conf)
> {code}
> the *registerKryoClasses* method's parameter type should be *Array[Class[_]]*
> not *Seq[Class[_]]*. The right code snippets is
> {code}
> val conf = new SparkConf().setMaster(...).setAppName(...)
> conf.registerKryoClasses(Array(classOf[MyClass1], classOf[MyClass2]))
> val sc = new SparkContext(conf)
> {code}
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