Hi,
I have a spark-streaming application that basically keeps track of a
string->string dictionary.
So I have messages coming in with updates, like:
"A"->"B"
And I need to update the dictionary.
This seems like a simple use case for the updateStateByKey method.
However, my issue is that when the app starts I need to "initialize" the
dictionary with data from a hive table, that has all the historical key/values
with the dictionary.
The only way I could think of is doing something like:
val rdd =... //get data from hive
def process(input: DStream[(String, String)]) = {
input.join(rdd).updateStateByKey(update)
}
So the join operation will be done on every incoming buffer, where in fact I
only need it on initialization.
Any idea how to achieve that?
Thanks
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