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authorGuancheng (G.C.) Chen <chenguancheng@gmail.com>2014-08-05 11:50:08 -0700
committerPatrick Wendell <pwendell@gmail.com>2014-08-05 11:50:08 -0700
commitac3440f4f3c4b79070ffec7db0b08ad062b4df90 (patch)
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parent6e821e3d1ae1ed23459bc7f1098510b968130152 (diff)
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[SPARK-2859] Update url of Kryo project in related docs
JIRA Issue: https://issues.apache.org/jira/browse/SPARK-2859 Kryo project has been migrated from googlecode to github, hence we need to update its URL in related docs such as tuning.md. Author: Guancheng (G.C.) Chen <chenguancheng@gmail.com> Closes #1782 from gchen/kryo-docs and squashes the following commits: b62543c [Guancheng (G.C.) Chen] update url of Kryo project
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diff --git a/docs/tuning.md b/docs/tuning.md
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@@ -32,7 +32,7 @@ in your operations) and performance. It provides two serialization libraries:
[`java.io.Externalizable`](http://docs.oracle.com/javase/6/docs/api/java/io/Externalizable.html).
Java serialization is flexible but often quite slow, and leads to large
serialized formats for many classes.
-* [Kryo serialization](http://code.google.com/p/kryo/): Spark can also use
+* [Kryo serialization](https://github.com/EsotericSoftware/kryo): Spark can also use
the Kryo library (version 2) to serialize objects more quickly. Kryo is significantly
faster and more compact than Java serialization (often as much as 10x), but does not support all
`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")
val sc = new SparkContext(conf)
{% endhighlight %}
-The [Kryo documentation](http://code.google.com/p/kryo/) describes more advanced
+The [Kryo documentation](https://github.com/EsotericSoftware/kryo) describes more advanced
registration options, such as adding custom serialization code.
If your objects are large, you may also need to increase the `spark.kryoserializer.buffer.mb`