Nvm, here's what I'll do, but if anyone has a better idea, please do tell.
I'll STORE the bag using PigStorage(';') to delimit the chararrays, then reload
it with an appropriate schema, treating the page sequences as concatenated
strings, then group and count by those. I can SPLIT() out the outer bag in
advance of that to maintain isolation by the inner bag's sibling data elements.
SB
-----Original Message-----
From: Steve Bernstein [mailto:[email protected]]
Sent: Thursday, August 30, 2012 9:07 AM
To: [email protected]
Subject: RE: group by clickstream
Some clarification on the below. Ignore the outer bag, I'd removed some data
elements for clarity and simplicity. Basically, I'm trying to find a way to go
from:
{(pg),(pg),...,(pg)}
to
{(pg,pg,...,pg)}
For an abritrary number of "pg" tuples.
SB
-----Original Message-----
From: Steve Bernstein [mailto:[email protected]]
Sent: Wednesday, August 29, 2012 4:28 PM
To: [email protected]
Subject: group by clickstream
Hi all,
I have a bag, clickstreams: {clickStream: {pageName: chararray}}, for which
each row represents a sequence of pages and events in a single session on a
website. The interior bag, clickstream, represents this as a sequence of one
or more single element tuples, e.g.,
{(homepage),(pg1),(pg2),...,(pgN)}
I'd like to group by the sequences so I can get counts and ultimately sort to
find the most common clickstreams. A bag can't be a key for grouping, I've
discovered, but it seems like it ought to be easy to flatten the clickstream
bag into some other form such that the sequences can be used as keys for
grouping. But I can't figure it out.
Any ideas?
Thanks!
Steve
