Hi,
I'm seeing some strange behaviour with spark 1.5, I have a dataframe
that I have built from loading and joining some hive tables stored in
s3.
The dataframe is cached in memory, using df.cache.
What I'm seeing is that the counts I get when I do a group by on a
column are different from what I get when I filter/select and count.
df.select("outcome").groupBy("outcome").count.show
outcome | count
----------------------
'A' | 100
'B' | 200
df.filter("outcome = 'A'").count
# 50
df.filter(df("outcome") === "A").count
# 50
I expect the count of columns that match 'A' in the groupBy to match
the count when filtering. Any ideas what might be happening?
Thanks,
Michael
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