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https://issues.apache.org/jira/browse/SPARK-21974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-21974.
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Resolution: Not A Problem
This isn't an error and isn't a Spark issue. It has to go with netlib-java and
your environment. It's not critical either
> 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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