Antonio Murgia created SPARK-11994:
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Summary: 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: 1.5.1, 1.4.1
Reporter: Antonio Murgia
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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