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Posted to issues@spark.apache.org by "Aleksandr Ovcharenko (JIRA)" <ji...@apache.org> on 2017/09/11 13:16:00 UTC
[jira] [Commented] (SPARK-21974) SVD computation results in failure
to load NativeSystemARPACK and NativeRefARPACK
[ https://issues.apache.org/jira/browse/SPARK-21974?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16161217#comment-16161217 ]
Aleksandr Ovcharenko commented on SPARK-21974:
----------------------------------------------
Ok, thanks for your reply. Is there any way to see what's under $LD_LIBRARY_PATH when in the spark shell already? Also, isn't netlib-java was supposed to be part of Spark 2.2.0? I would imagine that at least the "NativeRefARPACK" issue wouldn't be there.
Thank you.
> 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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