Github user keith-turner commented on the issue:
https://github.com/apache/accumulo/pull/180
> For example, we would want to avoid storing 1M CVs if a user had that
many in a table (for some reason).
I think we should address this issue in some way while considering the
following.
* Fetching summaries should be relatively fast. Gigantic summaries will
stymie this goal.
* When a users summarizer does produce a gigantic summary, it would be
nice if we helped them debug it.
I am thinking one way to accomplish these goals is to store gigantic
summaries, but only read summaries under a certain size. The size of a
serialized summary could be written first. When a summary is read this size
will be the first bit of info. If the summary is over a certain size an error
could be logged and that file would be treated like it had no summary. We
could also add a enum that indicates gigantic summaries were present. Since
the summary is stored, it would give the user a chance to use rfile-info to
look at whats in the summary for debugging.
We also need to stress in the javadoc that summaries are intended to be
small.
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