[jira] [Commented] (SPARK-24244) Parse only required columns of CSV file

["Ruslan Dautkhanov (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-24244?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16681735#comment-16681735 ] 

Ruslan Dautkhanov commented on SPARK-24244:
-------------------------------------------

[~maxgekk] great improvement 

is this new option available in PySpark too?

 

> Parse only required columns of CSV file
> ---------------------------------------
>
>                 Key: SPARK-24244
>                 URL: https://issues.apache.org/jira/browse/SPARK-24244
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.3.0
>            Reporter: Maxim Gekk
>            Assignee: Maxim Gekk
>            Priority: Major
>             Fix For: 2.4.0
>
>
> uniVocity parser allows to specify only required column names or indexes for parsing like:
> {code}
> // Here we select only the columns by their indexes.
> // The parser just skips the values in other columns
> parserSettings.selectIndexes(4, 0, 1);
> CsvParser parser = new CsvParser(parserSettings);
> {code}
> Need to modify *UnivocityParser* to extract only needed columns from requiredSchema



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