[jira] [Created] (SPARK-45433) CSV/JSON schema inference when timestamps do not match specified timestampFormat with only one row on each partition report error

["Jia Fan (Jira)" <ji...@apache.org>]

Jia Fan created SPARK-45433:
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             Summary: CSV/JSON schema inference when timestamps do not match specified timestampFormat with only one row on each partition report error
                 Key: SPARK-45433
                 URL: https://issues.apache.org/jira/browse/SPARK-45433
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 3.5.0, 3.4.0, 3.3.0
            Reporter: Jia Fan


CSV/JSON schema inference when timestamps do not match specified timestampFormat with `only one row on each partition` report error.

 
{code:java}
//eg
val csv = spark.read.option("timestampFormat", "yyyy-MM-dd'T'HH:mm:ss")
  .option("inferSchema", true).csv(Seq("2884-06-24T02:45:51.138").toDS())
csv.show() {code}
{code:java}
//error
Caused by: java.time.format.DateTimeParseException: Text '2884-06-24T02:45:51.138' could not be parsed, unparsed text found at index 19 {code}
This bug affect 3.3/3.4/3.5. Unlike https://issues.apache.org/jira/browse/SPARK-45424 , this is a different bug but has the same error message



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