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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/03/02 00:32:47 UTC

[GitHub] [spark] dongjoon-hyun commented on a change in pull request #27710: [SPARK-30960][SQL] add back the legacy date/timestamp format support in CSV/JSON parser

dongjoon-hyun commented on a change in pull request #27710: [SPARK-30960][SQL] add back the legacy date/timestamp format support in CSV/JSON parser
URL: https://github.com/apache/spark/pull/27710#discussion_r386157670
 
 

 ##########
 File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/UnivocityParser.scala
 ##########
 @@ -175,10 +175,30 @@ class UnivocityParser(
       }
 
     case _: TimestampType => (d: String) =>
-      nullSafeDatum(d, name, nullable, options)(timestampFormatter.parse)
+      nullSafeDatum(d, name, nullable, options) { datum =>
+        try {
+          timestampFormatter.parse(datum)
+        } catch {
+          case NonFatal(e) =>
+            // If fails to parse, then tries the way used in 2.0 and 1.x for backwards
+            // compatibility.
+            val str = UTF8String.fromString(datum)
+            DateTimeUtils.stringToTimestamp(str, options.zoneId).getOrElse(throw e)
 
 Review comment:
   Thank you for keeping moving this situation!

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