Github user HyukjinKwon commented on the issue:
    To continue the discussion of JIRA, I think the issue you faced is to read 
those in CSV?
    Whether it is intended or not in `FastDateFormat`, the default pattern 
`"yyyy-MM-dd'T'HH:mm:ss.SSSZZ"` covers this.
    it seems I can't reproduce the issue you met in the JIRA. Have you tried 
the problematic codes in the master branch? 
    That would not ran in Spark 2.0 but we made a change.
    val path = "/tmp/timestamps"
    val textDf = Seq(
    val df ="csv")
      .option("header", "true")
      .option("inferSchema", "true")
    works fine
    |                time|
    |2015-07-20 13:09:...|
    |2015-07-20 13:10:...|
    |2015-11-21 21:15:...|
     |-- time: timestamp (nullable = true)

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