[jira] [Assigned] (SPARK-21326) Use TextFileFormat in implementation of LibSVMFileFormat

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-21326?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-21326:
------------------------------------

    Assignee:     (was: Apache Spark)

> Use TextFileFormat in implementation of LibSVMFileFormat
> --------------------------------------------------------
>
>                 Key: SPARK-21326
>                 URL: https://issues.apache.org/jira/browse/SPARK-21326
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, SQL
>    Affects Versions: 2.3.0
>            Reporter: Hyukjin Kwon
>
> This is related with SPARK-19918 and SPARK-18362.
> There are three points here:
> - The main advantage of this change was removing file-listing bottlenecks in driver side and I guess this does not applies to LibSVM datasource for the current state as it requires the file should be single.
> As a side note, it looks possible with multiple files - SPARK-21066 but it is still in discussion
> - Another advantage is ones from using {{FileScanRDD}}. For example, I guess we can use {{spark.sql.files.ignoreCorruptFiles}} option if we allow multiple files in schema inference.
> - We can unify the schema inference code path in text based data sources. This is also a preparation for SPARK-21289.



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