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https://issues.apache.org/jira/browse/SPARK-25931?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-25931:
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Component/s: Tests
> Benchmarking creation of Jackson parser
> ---------------------------------------
>
> Key: SPARK-25931
> URL: https://issues.apache.org/jira/browse/SPARK-25931
> Project: Spark
> Issue Type: Test
> Components: SQL, Tests
> Affects Versions: 3.0.0
> Reporter: Maxim Gekk
> Assignee: Maxim Gekk
> Priority: Minor
> Fix For: 3.0.0
>
>
> 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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