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https://issues.apache.org/jira/browse/SPARK-1813?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13996390#comment-13996390
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Mridul Muralidharan commented on SPARK-1813:
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Writing a KryoRegistrator is the only requirement - rest are done as part of
initialization anyway.
Registering classes with kryo is non trivial except for degenerate cases : for
example, we have classes we have to use java read/write Object serialization,
which support kyro serialization, which support java's external serialization,
generated classes, etc.
And we would need a registrator ... ofcourse, it could be argued this is corner
case, though I dont think so.
> 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
>
> It would be nice to have a method in SparkConf that makes it really easy to
> use Kryo and register a set of classes. without defining you
> 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[MyFirstClass, classOf[MySecond]))
> {code}
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