[jira] [Created] (SPARK-26567) Should we align CSV query results with hive text query results: an int field, if the input value is 1.0, hive text query results is 1, CSV query results is null

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

eaton created SPARK-26567:
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             Summary: Should we align CSV query results with hive text query results: an int field, if the input value is 1.0, hive text query results is 1, CSV query results is null
                 Key: SPARK-26567
                 URL: https://issues.apache.org/jira/browse/SPARK-26567
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 2.4.0
            Reporter: eaton


If we want to be consistent, we can modify the makeConverter function in UnivocityParser, but the performance may get worse.The modified code is as follows:
{code:java}
// code placeholder
{code}
def makeConverter( name: String, dataType: DataType, nullable: Boolean = true, options: CSVOptions): ValueConverter = dataType match { case _: ByteType => (d: String) => nullSafeDatum(d, name, nullable, options)(_.toDouble.intValue().toByte) case _: ShortType => (d: String) => nullSafeDatum(d, name, nullable, options)(_.toDouble.intValue().toShort) case _: IntegerType => (d: String) => nullSafeDatum(d, name, nullable, options)(_.toDouble.intValue()) case _: LongType => (d: String) => nullSafeDatum(d, name, nullable, options)(_.toDouble.intValue().toLong)



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