Hi Dave,

thanks for you idea. I also considered this possibility. Although the
possibility of a collision is very small, what scares me is the fact
that i don't think the corruption can be corrected.
I can for sure detect it afterwards in O(NlogN) time by scanning the
table, but correcting my long-based corpus is impossible. Once the
database is converted, the information is lost.


On 11/30/10 1:43 AM, Buttler, David wrote:
> A while back I had a strange idea to bypass this problem: create a 64-bit 
> hash code for the word.  Your word space should be significantly smaller than 
> 64 bits, so a good hash algorithm (the top 64 bits of sha1 say) should make 
> collisions extremely rare.  And, if you can always check your dictionary 
> later for collisions if this feels wrong.
> This should be a good deal simpler than trying to keep around an order 
> dependent integer mapping for your dictionary.  And, it is somewhat 
> recoverable if you ever lose your dictionary for some reason.
>
> Dave
>
> -----Original Message-----
> From: Claudio Martella [mailto:[email protected]] 
> Sent: Monday, November 29, 2010 7:13 AM
> To: [email protected]
> Subject: incremental counters and a global String->Long Dictionary
>
> Hello list,
>
> I'm kind of new to HBase, so I'll post this email with a request for
> comment.
> Very briefly, I do a lot of text processing with mapreduce, so it's very
> useful for me to convert string to longs, so i can make my computations
> faster.
>
> My corpus keeps on growing and I want this String->Long mapping to be
> persistent and dynamical (i want to add new mappings when i find new words).
> At the moment i'm tackling the problem this way (pseudo-code):
>
> longvalue = convert(word) # gets from hbase
> if longvalue == -1:
>     longvalue = insert(word) # puts in hbase
>
> longvalue now contains the new mapped value. This approach requires a
> global counter that saves the latest mapped long and increments at every
> insert. I can easily do this two ways. A special row in hbase "_counter"
> that I increment through IncrementColumnValue, or creating a sequential
> non-ephemeral znode in zookeeper and use the version as my counter. The
> first one is of course faster. So the solution would be:
>
> insert(word):
>     longvalue = hbase.incrementColumnValue("_counter", "v")
>     hbase.put(word, longvalue)
>     return longvalue
>
> The problem is that between the time i realize there's no mapping for my
> word and the time i insert the new longvalue, somebody else might have
> done the same for me, so I have a corrupted dictionary.
>
> One possible solution would be to acquire a lock on the "_counter" row,
> recheck for the presence of the mapping and then insert my new value:
>
> safe_insert(word):
>     lock("_counter")
>     longvalue = convert(word)
>     if longvalue == -1: #nobody inserted the mapping in the meantime
>         longvalue = insert(word)
>     unlock("_counter")
>     return longvalue
>
> This way the counter row, with its lock, would behave as a global lock.
> This would solve my problems but would create a bottleneck (although
> with time my inserts tend to get very rare as the dictionary grows). A
> solution to this problem would be to have locks on zookeeper based on words.
>
> ZKsafe_insert(word):
>     ZKlock("/words/"+ word)
>     longvalue = convert(word)
>     if longvalue == -1: #nobody inserted the mapping in the meantime
>         longvalue = insert(word)
>     ZKunlock("/words/"+word)
>     return longvalue
>
> This of course would allow me to have more finegrained locks and better
> scalability, but I'd relay on a system with higher latency (ZK).
>
> Does anybody have a better solution with hbase? I guess using
> hbase_transational would also be a possibility, but again, what about
> speed and the actual issues with the package (like recovering in the
> face of hregion failure).
>
>
> Thank you,
>
> Claudio
>


-- 
Claudio Martella
Digital Technologies
Unit Research & Development - Analyst

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