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https://issues.apache.org/jira/browse/SPARK-1813?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Patrick Wendell resolved SPARK-1813.
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Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Sandy Ryza
Fixed in https://github.com/apache/spark/pull/789
> Add a utility to SparkConf that makes using Kryo really easy
> ------------------------------------------------------------
>
> Key: SPARK-1813
> URL: https://issues.apache.org/jira/browse/SPARK-1813
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 1.0.0
> Reporter: Sandy Ryza
> Assignee: Sandy Ryza
> Fix For: 1.2.0
>
>
> It would be nice to have a method in SparkConf that makes it really easy to
> turn on Kryo serialization and register a set of classes.
> Using Kryo currently requires all this:
> {code}
> import com.esotericsoftware.kryo.Kryo
> import org.apache.spark.serializer.KryoRegistrator
> class MyRegistrator extends KryoRegistrator {
> override def registerClasses(kryo: Kryo) {
> kryo.register(classOf[MyClass1])
> kryo.register(classOf[MyClass2])
> }
> }
> val conf = new SparkConf().setMaster(...).setAppName(...)
> conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
> conf.set("spark.kryo.registrator", "mypackage.MyRegistrator")
> val sc = new SparkContext(conf)
> {code}
> It would be nice if it just required this:
> {code}
> SparkConf.setKryo(Array(classOf[MyClass1], classOf[MyClass2]))
> {code}
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