Github user srowen commented on a diff in the pull request:

    https://github.com/apache/spark/pull/12105#discussion_r58715959
  
    --- Diff: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala
 ---
    @@ -416,11 +419,17 @@ abstract class UnixTime extends BinaryExpression with 
ExpectsInputTypes {
             }
           case StringType =>
             val sdf = classOf[SimpleDateFormat].getName
    +        val formatter = ctx.freshName("sdf")
    +        ctx.addMutableState(sdf, formatter, s"""$formatter = null;""")
             nullSafeCodeGen(ctx, ev, (string, format) => {
               s"""
                 try {
    +              if ($formatter == null ||
    +                  !$formatter.toPattern().equals("$format.toString()")) {
    --- End diff --
    
    So, this raises an interesting point ... the SimpleDateFormat you're 
caching is a reference used across logically different code branches that need 
different formats. Are we sure this is a win? because every time a different 
format is needed you have to switch anyway. I might just be paranoid


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