HyukjinKwon commented on a change in pull request #23202: [SPARK-26248][SQL]
Infer date type from CSV
URL: https://github.com/apache/spark/pull/23202#discussion_r242010787
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala
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@@ -104,6 +108,7 @@ class CSVInferSchema(val options: CSVOptions) extends
Serializable {
compatibleType(typeSoFar,
tryParseDecimal(field)).getOrElse(StringType)
case DoubleType => tryParseDouble(field)
case TimestampType => tryParseTimestamp(field)
+ case DateType => tryParseDate(field)
Review comment:
Another problem here is the order here matters when type is being merged.
For instance, date type is inferred first, and then if timestamp is found, it
won't detect timestamp type anymore.
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