[jira] [Created] (SPARK-21974) SVD computation results in failure to load NativeSystemARPACK and NativeRefARPACK

["Aleksandr Ovcharenko (JIRA)" <ji...@apache.org>]

Aleksandr Ovcharenko created SPARK-21974:
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             Summary: SVD computation results in failure to load NativeSystemARPACK and NativeRefARPACK
                 Key: SPARK-21974
                 URL: https://issues.apache.org/jira/browse/SPARK-21974
             Project: Spark
          Issue Type: Wish
          Components: MLlib
    Affects Versions: 2.2.0
            Reporter: Aleksandr Ovcharenko
            Priority: Critical


Hello guys,

I am trying to implement the SVD computation with Spark 2.2.0 using the Python interface. However I keep running into the following issues:
17/09/11 11:41:26 WARN ARPACK: Failed to load implementation from: com.github.fommil.netlib.NativeSystemARPACK
17/09/11 11:41:26 WARN ARPACK: Failed to load implementation from: com.github.fommil.netlib.NativeRefARPACK

I've tried to install ARPACK myself and set LD_LIBRARY_PATH accordingly before running pyspark. I've also trid to pass the "--packages com.github.fommil.netlib:all:1.1.2" command in order to pick up netlib-java correctly.

Is there anything I'm missing? Is it possible to see why native ARPACK is not being picked up when setting the LD_LIBRARY_PATH correctly? Could you advise something to get rid of either or both warnings? I'm really getting a huge performance hit because of that.

Thank you, I appreciate your response.



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