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update url of Kryo project
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docs/tuning.md

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@@ -32,7 +32,7 @@ in your operations) and performance. It provides two serialization libraries:
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[`java.io.Externalizable`](http://docs.oracle.com/javase/6/docs/api/java/io/Externalizable.html).
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Java serialization is flexible but often quite slow, and leads to large
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serialized formats for many classes.
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* [Kryo serialization](http://code.google.com/p/kryo/): Spark can also use
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* [Kryo serialization](https://github.com/EsotericSoftware/kryo): Spark can also use
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the Kryo library (version 2) to serialize objects more quickly. Kryo is significantly
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faster and more compact than Java serialization (often as much as 10x), but does not support all
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`Serializable` types and requires you to *register* the classes you'll use in the program in advance
@@ -68,7 +68,7 @@ conf.set("spark.kryo.registrator", "mypackage.MyRegistrator")
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val sc = new SparkContext(conf)
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{% endhighlight %}
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The [Kryo documentation](http://code.google.com/p/kryo/) describes more advanced
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The [Kryo documentation](https://github.com/EsotericSoftware/kryo) describes more advanced
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registration options, such as adding custom serialization code.
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If your objects are large, you may also need to increase the `spark.kryoserializer.buffer.mb`

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