[jira] [Updated] (SPARK-25931) Benchmarking creation of Jackson parser

["Dongjoon Hyun (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-25931?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun updated SPARK-25931:
----------------------------------
    Affects Version/s:     (was: 2.4.0)
                       3.0.0

> Benchmarking creation of Jackson parser
> ---------------------------------------
>
>                 Key: SPARK-25931
>                 URL: https://issues.apache.org/jira/browse/SPARK-25931
>             Project: Spark
>          Issue Type: Test
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Maxim Gekk
>            Priority: Minor
>
> Existing JSON benchmarks perlineParsing and perlineParsingOfWideColumn don't invoke Jackson parser at all due to an optimization for empty schema introduced SPARK-24959. Need to add new benchmark which should forcibly create Jackson parser for short and wide columns. For example:
> {code:scala}
>  spark.read
>           .schema(schema)
>           .json(path)
>           .filter((_: Row) => true)
>           .count()
> {code}
> The *.filter((_: Row) => true)* prevents projection pushdown to JSON datasource and forces fully parsing of JSON content.



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