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https://issues.apache.org/jira/browse/SPARK-11994?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-11994:
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Assignee: Antonio Murgia
> Word2VecModel load and save cause SparkException when model is bigger than
> spark.kryoserializer.buffer.max
> ----------------------------------------------------------------------------------------------------------
>
> Key: SPARK-11994
> URL: https://issues.apache.org/jira/browse/SPARK-11994
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.4.1, 1.5.1
> Reporter: Antonio Murgia
> Assignee: Antonio Murgia
> Labels: kryo, mllib
> Fix For: 2.0.0
>
>
> When loading a Word2VecModel of compressed size 58Mb using the
> Word2VecModel.load() method introduced in Spark 1.4.0 I get a
> `org.apache.spark.SparkException: Kryo serialization failed: Buffer overflow.
> Available: 0, required: 2` exception.
> This happens because the model is saved as a unique file with no partitioning
> and the kryo buffer overflows when tries to serialize it all.
> Increasing `spark.kryoserializer.buffer.max` works as a temporary solution
> but needs to increased again whenever we increase the model size.
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