In Spark version 1.2.0 one could use subtract
with 2 SchemRDD
s to end up with only the different content from the first one
val onlyNewData = todaySchemaRDD.subtract(yesterdaySchemaRDD)
onlyNewData
contains the rows in todaySchemRDD
that do not exist in yesterdaySchemaRDD
.
How can this be achieved with DataFrames
in Spark version 1.3.0?
According to the api docs, doing:
dataFrame1.except(dataFrame2)
will return a new DataFrame containing rows in dataFrame1 but not in dataframe2.