[jira] [Assigned] (SPARK-21723) Can't write LibSVM - key not found: numFeatures

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-21723?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen reassigned SPARK-21723:
---------------------------------

    Assignee: Jan Vršovský

> Can't write LibSVM - key not found: numFeatures
> -----------------------------------------------
>
>                 Key: SPARK-21723
>                 URL: https://issues.apache.org/jira/browse/SPARK-21723
>             Project: Spark
>          Issue Type: Bug
>          Components: Input/Output, ML
>    Affects Versions: 2.2.0, 2.3.0
>            Reporter: Jan Vršovský
>            Assignee: Jan Vršovský
>             Fix For: 2.2.1, 2.3.0
>
>
> Writing a dataset to LibSVM format raises an exception
> {{java.util.NoSuchElementException: key not found: numFeatures}}
> Happens only when the dataset was NOT read from a LibSVM format before (because otherwise numFeatures is in its metadata). Steps to reproduce:
> {code}
> import org.apache.spark.ml.linalg.Vectors
> val rawData = Seq((1.0, Vectors.sparse(3, Seq((0, 2.0), (1, 3.0)))),
>                   (4.0, Vectors.sparse(3, Seq((0, 5.0), (2, 6.0)))))
> val dfTemp = spark.sparkContext.parallelize(rawData).toDF("label", "features")
> dfTemp.coalesce(1).write.format("libsvm").save("...filename...")
> {code}
> PR with a fix and unit test is ready - see [https://github.com/apache/spark/pull/18872].



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