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[SPARK-34023][BUILD] Updated to Kryo 5.0.3 #31059

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2 changes: 1 addition & 1 deletion dev/deps/spark-deps-hadoop-2.7-hive-2.3
Original file line number Diff line number Diff line change
Expand Up @@ -155,7 +155,7 @@ jsp-api/2.1//jsp-api-2.1.jar
jsr305/3.0.0//jsr305-3.0.0.jar
jta/1.1//jta-1.1.jar
jul-to-slf4j/1.7.30//jul-to-slf4j-1.7.30.jar
kryo-shaded/4.0.2//kryo-shaded-4.0.2.jar
kryo-shaded/5.0.3//kryo-shaded-5.0.3.jar
kubernetes-client/4.12.0//kubernetes-client-4.12.0.jar
kubernetes-model-admissionregistration/4.12.0//kubernetes-model-admissionregistration-4.12.0.jar
kubernetes-model-apiextensions/4.12.0//kubernetes-model-apiextensions-4.12.0.jar
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2 changes: 1 addition & 1 deletion dev/deps/spark-deps-hadoop-3.2-hive-2.3
Original file line number Diff line number Diff line change
Expand Up @@ -168,7 +168,7 @@ kerby-config/1.0.1//kerby-config-1.0.1.jar
kerby-pkix/1.0.1//kerby-pkix-1.0.1.jar
kerby-util/1.0.1//kerby-util-1.0.1.jar
kerby-xdr/1.0.1//kerby-xdr-1.0.1.jar
kryo-shaded/4.0.2//kryo-shaded-4.0.2.jar
kryo-shaded/5.0.3//kryo-shaded-5.0.3.jar
kubernetes-client/4.12.0//kubernetes-client-4.12.0.jar
kubernetes-model-admissionregistration/4.12.0//kubernetes-model-admissionregistration-4.12.0.jar
kubernetes-model-apiextensions/4.12.0//kubernetes-model-apiextensions-4.12.0.jar
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2 changes: 1 addition & 1 deletion docs/tuning.md
Original file line number Diff line number Diff line change
Expand Up @@ -50,7 +50,7 @@ in your operations) and performance. It provides two serialization libraries:
Java serialization is flexible but often quite slow, and leads to large
serialized formats for many classes.
* [Kryo serialization](https://github.com/EsotericSoftware/kryo): Spark can also use
the Kryo library (version 4) to serialize objects more quickly. Kryo is significantly
the Kryo library 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
for best performance.
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