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https://issues.apache.org/jira/browse/SPARK-39193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gengliang Wang updated SPARK-39193:
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Summary: Fasten Timestamp type inference of default format in JSON/CSV data
source (was: Improve the performance of inferring Timestamp type in JSON/CSV
data source)
> Fasten Timestamp type inference of default format in JSON/CSV data source
> -------------------------------------------------------------------------
>
> Key: SPARK-39193
> URL: https://issues.apache.org/jira/browse/SPARK-39193
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Gengliang Wang
> Assignee: Gengliang Wang
> Priority: Major
> Fix For: 3.3.0
>
>
> When reading JSON/CSV files with inferring timestamp types
> `.option("inferTimestamp", true)`, the Timestamp conversion will throw and
> catch exceptions. As we are putting decent error messages in the exception,
> the creation of the exceptions is actually not cheap. It consumes more than
> 90% of the type inference time.
> We can use the parsing methods which return optional results instead.
> Before the change, it takes 166 seconds to infer a JSON file of 624MB with
> inferring timestamp enabled.
> After the change, it only 16 seconds.
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