hey, i create a file called test.csv with contents: date 2015-01-01 2016-03-05
next i run this code in spark 2.0.1: spark.read .format("csv") .option("header", true) .option("inferSchema", true) .load("test.csv") .printSchema the result is: root |-- date: timestamp (nullable = true) On Wed, Oct 26, 2016 at 7:35 PM, Hyukjin Kwon <gurwls...@gmail.com> wrote: > There are now timestampFormat for TimestampType and dateFormat for > DateType. > > Do you mind if I ask to share your codes? > > On 27 Oct 2016 2:16 a.m., "Koert Kuipers" <ko...@tresata.com> wrote: > >> is there a reason a column with dates in format yyyy-mm-dd in a csv file >> is inferred to be TimestampType and not DateType? >> >> thanks! koert >> >