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https://issues.apache.org/jira/browse/SPARK-24244?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16681786#comment-16681786
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Maxim Gekk commented on SPARK-24244:
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> is this new option available in PySpark too?
Yes, it is as well as in R and Scala/Java.
> 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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