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https://issues.apache.org/jira/browse/SPARK-1813?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13996390#comment-13996390
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Mridul Muralidharan commented on SPARK-1813:
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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