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https://issues.apache.org/jira/browse/SPARK-8510?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Peter Aberline updated SPARK-8510:
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Description:
Using the DoubleArrayWritable as an example, I have added support for storing
NumPy arrays and matrices as elements of Sequence Files.
Each value element is a discrete matrix or array. This is useful where you have
many matrices that you don't want to join into a single Spark DataFrame to
store in a Parquet file.
There seems to be demand for this functionality:
http://mail-archives.us.apache.org/mod_mbox/spark-user/201506.mbox/%3CCAJQK-mg1PUCc_hkV=q3n-01ioq_pkwe1g-c39ximco3khqn...@mail.gmail.com%3E
I originally put this work in PR 6995, but closed it after suggestions from a
user to use NumPy's built in serialization. My second version is in PR 8384.
was:
Using the DoubleArrayWritable as an example, I have added support for storing
NumPy arrays and matrices as elements of Sequence Files.
Each value element is a discrete matrix or array. This is useful where you have
many matrices that you don't want to join into a single Spark Data Frame to
store in a Parquet file.
There seems to be demand for this functionality:
http://mail-archives.us.apache.org/mod_mbox/spark-user/201506.mbox/%3CCAJQK-mg1PUCc_hkV=q3n-01ioq_pkwe1g-c39ximco3khqn...@mail.gmail.com%3E
I originally put this work in PR 6995, but closed it after suggestions from a
user to use NumPy's built in serialization. My second version is in PR 8384.
> NumPy arrays and matrices as values in sequence files
> -----------------------------------------------------
>
> Key: SPARK-8510
> URL: https://issues.apache.org/jira/browse/SPARK-8510
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Reporter: Peter Aberline
> Priority: Minor
>
> Using the DoubleArrayWritable as an example, I have added support for storing
> NumPy arrays and matrices as elements of Sequence Files.
> Each value element is a discrete matrix or array. This is useful where you
> have many matrices that you don't want to join into a single Spark DataFrame
> to store in a Parquet file.
> There seems to be demand for this functionality:
> http://mail-archives.us.apache.org/mod_mbox/spark-user/201506.mbox/%3CCAJQK-mg1PUCc_hkV=q3n-01ioq_pkwe1g-c39ximco3khqn...@mail.gmail.com%3E
> I originally put this work in PR 6995, but closed it after suggestions from a
> user to use NumPy's built in serialization. My second version is in PR 8384.
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