On 03/30/2012 04:54 AM, Rita wrote:
Thanks for the responses. I am using 0.90.4-cdh3. i exported the table
using hbase exporter. Yes, the previous table still exists but on a
different cluster.My region servers are large, close to 12GB in size.
Which is the total number of your regions?

I want to understand regarding Hfiles. We export the table as a series of
Hfiles and then import them in?
Yes, The simplest way to do this is using the TableOutputFormat, but if you use instead the HFileOutputFormat, the process will be more efficient, because using this feature (bulk loads) will use less CPU and network. With a MapReduce job, you prepare your data using the HFileOutputFormat (Hadoop's TotalOrderPartitioner class in used to partition the map output into disjoint ranges of the key space, corresponding to the key ranges of the regions in the table).


What is the difference between that in the
regular MR export job?
The main difference with regular MR jobs is the output, instead to use the classic ouput formats like TextOutputFormat, MultipleOutputFormat, SequenceFileOutputFormat, etc, you will use the HFileOutputFormat, that is the native data file type for HBase (HFile).
  I idea sounds good because it sounds simple on the
surface :-)





On Fri, Mar 30, 2012 at 12:08 AM, Stack<[email protected]>  wrote:

On Thu, Mar 29, 2012 at 7:57 PM, Rita<[email protected]>  wrote:
Hello,

I am importing a 40+ billion row table which I exported several months
ago.
The data size is close to 18TB on hdfs (3x replication).

Does the table from back then still exist?  Or do you remember what
the key spread was like?  Could you precreate the old table?

My problem is when I try to import it with mapreduce it takes a few days
--
which is ok -- however when the job fails to whatever reason, I have to
restart everything. Is it possible to import the table in chunks like,
import 1/3, 2/3, and then finally 3/3  of the table?

Yeah.  Funny how the plug gets pulled on the rack when the three day
job is at the end 95% done.

Btw, the jobs creates close to 150k mapper jobs, thats a problem waiting
to
happen :-)

Are you running 0.92?  If not, you should and go for bigger regions.   10G?

St.Ack




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Marcos Luis Ortíz Valmaseda (@marcosluis2186)
 Data Engineer at UCI
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