Ben, other than Hbase version, which license do you use for stubleupon, and is 
it BSD license? - thanks, Andy 

-----Original Message-----
From: Frédéric Fondement [mailto:[email protected]] 
Sent: Friday, August 26, 2011 2:29 AM
To: [email protected]
Subject: Re: question on HTablePool and threads

Hi there,

For which versions of HBase is asyncbase working ? Can't find that on the 
website.

Does it supports external schema changes (new/deleted table/column family by an 
external thread/process)?
What about HTablePool regarding this last question ?

Is is really enough to use an HTablePool like this in multithreaded environment 
?
e.g. (unchecked code follows)
thread1 and thread2:
while (! shouldStop) {
   HTableInterface t = pool.get("sometable");
   try {
     //no need for synchronized(t) here as both threads receive different 
instances at same time, right ?
     //works with t
   } finally {
     t.close();
   }
}

What to do when application is ended ? Is it mandatory to call closeTablePool ?

It would be great if HTableInterface could extend java.io.Closeable so that one 
could write
try(t) {
   //work with t
}

Sorry if questions look simple, but I'm not sure just from the Javadoc.

Cheers !

Le 26/08/2011 09:08, Ben Cuthbert a écrit :
> Hi Andy
>
> We are using the stubleupon async client. Very fast and good.
> On 26 Aug 2011, at 04:58, Zhong, Andy wrote:
>
>> Hey Michael,
>> I am also looking to the performance gain to use HTablePool instead 
>> of created HTable using a singleton instance of HBaseConfiguration. 
>> If the use case is for a web service to handle multi-threaded 
>> write/reading from a single Hbase table, are you suggest to use 
>> HTablePool to pre-created a pool of Htable instances?
>>
>> But below two comments concern me:
>> 1. Concern of restarting Hadoop/HBase cluster:
>> http://comments.gmane.org/gmane.comp.java.hadoop.hbase.user/13128
>> "The problem with the HTablePool is that it does not "ride over restart"
>> meaning that if you need to restart your cluster, HtablePool will 
>> still be pointing at the old ports and not realize the cluster is back-up."
>> 2. Seems no performance gain, and even worse:
>> http://www.srikanthps.com/2011/06/hbase-benchmarking-for-multi-threaded.
>> html if no of concurrent put<10000.
>> 3. Does anyone uses glisthub: claim a fully asynchronous, 
>> non-blocking, thread-safe, high-performance HBase client (not sure if anyone 
>> uses it):
>> http://github.com/stumbleupon/asynchbase
>>
>> What do you think of it, and welcome any one's advices or comments on 
>> this.
>>
>> Thanks,
>> Andy Zhong
>>
>>
>> -----Original Message-----
>> From: Michael Segel [mailto:[email protected]]
>> Sent: Tuesday, August 23, 2011 10:57 PM
>> To: [email protected]
>> Subject: RE: question on HTablePool and threads
>>
>>
>> Sujee,
>>
>> You are correct in creating a separate HTable instance in each thread.
>> (HTable isn't thread safe, but since the scope is within the thread 
>> it
>> works.)
>>
>> You could use the HTablePool class, but I don't think its a better 
>> solution for what you are doing.
>>
>> In your example it sounds like you're creating the connection in each 
>> thread and you're using it for the life of the thread/application.  
>> So there's no real benefit in trying to create a pool of threads and 
>> then request a thread from the pool.
>>
>> JMHO
>>
>> -Mike
>>
>>
>>> From: [email protected]
>>> Date: Tue, 23 Aug 2011 16:34:32 -0700
>>> Subject: question on HTablePool and threads
>>> To: [email protected]
>>>
>>> Hi all,
>>>
>>> Right now I have a  java client program that accesses Hbase in 
>>> multiple threads for read / write.  Each thread creates its own 
>>> instance of HTable of the _same_ table.
>>>
>>> I am looking into HTablePool class.  Not clear on if it is a 
>>> correct/better choice for accessing the _same_ table with multiple
>> threads.
>>> Is this a valid  / thread-safe ?
>>>
>>> create HtablePool in 'main'
>>> pass HTablePool instance to threads
>>> each thread does a  'htablepool.get(table)'
>>>     read / write to table
>>>     'htablepool.put (table) '  when done (all this is done within a 
>>> single JVM)
>>>
>>> thanks
>>> Sujee Maniyam
>>> http://sujee.net
>>                                      
>>
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