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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