I have a dataframe of
date, string, string
I want to select dates before a certain period. I have tried the following with no luck
data.filter(data("date") < new java.sql.Date(format.parse("2015-03-14").getTime))
I'm getting an error stating the following
org.apache.spark.sql.AnalysisException: resolved attribute(s) date#75 missing from date#72,uid#73,iid#74 in operator !Filter (date#75 < 16508);
As far as I can guess the query is incorrect. Can anyone show me what way the query should be formatted?
I checked that all enteries in the dataframe have values - they do.
The following solutions are applicable since spark 1.5 :
For lower than :
// filter data where the date is lesser than 2015-03-14
data.filter(data("date").lt(lit("2015-03-14")))
For greater than :
// filter data where the date is greater than 2015-03-14
data.filter(data("date").gt(lit("2015-03-14")))
For equality, you can use either equalTo or === :
data.filter(data("date") === lit("2015-03-14"))
If your DataFrame date column is of type StringType, you can convert it using the to_date function :
// filter data where the date is greater than 2015-03-14
data.filter(to_date(data("date")).gt(lit("2015-03-14")))
You can also filter according to a year using the year function :
// filter data where year is greater or equal to 2016
data.filter(year($"date").geq(lit(2016)))