[jira] [Resolved] (SPARK-11994) Word2VecModel load and save cause SparkException when model is bigger than spark.kryoserializer.buffer.max

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-11994?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-11994.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 9989
[https://github.com/apache/spark/pull/9989]

> 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
>              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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