Hi
I am trying to do pair rdd's, group by the key assign id based on key.
I am using Pyspark with spark 1.3, for some reason, I am getting this
error that I am unable to figure out - any help much appreciated.
Things I tried (but to no effect),
1. make sure I am not doing any conversions on the strings
2. make sure that the fields used in the key are all there and not
empty string (or else I toss the row out)
My code is along following lines (split is using stringio to parse
csv, header removes the header row and parse_train is putting the 54
fields into named tuple after whitespace/quote removal):
#Error for string argument is thrown on the BB.take(1) where the
groupbykey is evaluated
A = sc.textFile("train.csv").filter(lambda x:not
isHeader(x)).map(split).map(parse_train).filter(lambda x: not x is
None)
A.count()
B = A.map(lambda k:
((k.srch_destination_id,k.srch_length_of_stay,k.srch_booking_window,k.srch_adults_count,
k.srch_children_count,k.srch_room_count), (k[0:54])))
BB = B.groupByKey()
BB.take(1)
best fahad
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