Dhruba & I just talked off-line about this as well. Yes, writing to two 
clusters would result in unnecessary complexity... we will essentially need to 
deal with inconsistencies between the two clusters at the application level.

For data integrity, going with group commits (batch commits) seems like a good 
option. My understanding of group commits as implemented in 0.21 is as follows:

*         We wait on acknowledging back to the client until the transaction has 
been synced to HDFS.

*         Syncs are batched-a sync is called if the queue has enough 
transactions  or if a timer expires. (I would imagine that both the # of 
transactions to batch up as well as timer are configurable knobs already)? In 
this mode, for the client, the latency increase on writes is upper bounded by 
the timer setting + the cost of sync itself.




From: saint....@gmail.com [mailto:saint....@gmail.com] On Behalf Of stack
Sent: Tuesday, January 12, 2010 10:52 AM
To: hbase-dev@hadoop.apache.org
Cc: Kannan Muthukkaruppan; Dhruba Borthakur
Subject: Re: commit semantics

On Tue, Jan 12, 2010 at 10:14 AM, Dhruba Borthakur 
<dhr...@gmail.com<mailto:dhr...@gmail.com>> wrote:
Hi stack,

I was meaning "what if the application inserted the same record into two
Hbase instances"? Of course, now the onus is on the appl to keep both of
them in sync and recover from any inconsistencies between them.

Ok.  Like your  "Overlapping Clusters for HA" from 
http://www.borthakur.com/ftp/hdfs_high_availability.pdf?

I'm not sure how the application could return after writing one cluster without 
waiting on the second to complete as you suggest above.  It could write in 
parallel but the second thread might not complete for myriad reasons.  What 
then?  And as you say, reading, the client would have to make reconciliation.

Isn't there already a 'scalable database' that gives you this headache for free 
without your having to do work on your part (smile)?

Do you think there a problem syncing on every write (with some batching of 
writes happening when high-concurrency) or, if that too slow for your needs, 
adding the holding of clients until sync happens as joydeep suggests?  Will 
that be sufficient data integrity-wise?

St.Ack

Thanks,
St.Ack

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