java - Missing leading zeroes of date in Hive partition using Spark Dataframe -


i adding partition column spark dataframe. new column(s) contains year month , day. have timestamp column in dataframe.

dataframe dfpartition = df.withcolumn("year", df.col("date").substr(0, 4)); dfpartition = dfpartition.withcolumn("month", dfpartition.col("date").substr(6, 2)); dfpartition =  dfpartition.withcolumn("day", dfpartition.col("date").substr(9, 2));

i can see correct values of columns when output dataframe eg : 2016 01 08

but when export dataframe hive table 

dfpartition.write().partitionby("year", "month","day").mode(savemode.append).saveastable("testdb.testtable");

i see directory structure generated misses leading zeroes. tried cast column string did not work.

is there way capture 2 digits date/month in hive partition

thanks


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