Hello Tariq,
Our database is sql server 2008,
and we dont need to develop a professional app, we just need to develop
it fast and make our experiment result soon.
Thanks
On 02/18/2013 11:58 PM, Hemanth Yamijala wrote:
What database is this ? Was hbase mentioned ?
On Monday, February 18, 2013, Mohammad Tariq wrote:
Hello Masoud,
You can use the Bulk Load feature. You might find it more
efficient than normal client APIs or using the TableOutputFormat.
The bulk load feature uses a MapReduce job to output table data
in HBase's internal data format, and then directly loads the
generated StoreFiles into a running cluster. Using bulk load will use
less CPU and network resources than simply using the HBase API.
For a detailed info you can go here :
http://hbase.apache.org/book/arch.bulk.load.html
Warm Regards,
Tariq
https://mtariq.jux.com/
cloudfront.blogspot.com <http://cloudfront.blogspot.com>
On Mon, Feb 18, 2013 at 5:00 PM, Masoud
<[email protected] <javascript:_e({}, 'cvml',
'[email protected]');>> wrote:
Dear All,
We are going to do our experiment of a scientific papers, ]
We must insert data in our database for later consideration,
it almost
300 tables each one has 2/000/000 records.
as you know It takes lots of time to do it with a single machine,
we are going to use our Hadoop cluster (32 machines) and
divide 300
insertion tasks between them,
I need some hint to progress faster,
1- as i know we dont need to Reduser, just Mapper in enough.
2- so wee need just implement Mapper class with needed code.
Please let me know if there is any point,
Best Regards
Masoud
--
Masoud Reyhani Hamedani
Ph.D. Candidate
Department of Electronics and Computer Engineering, Hanyang University
Data Mining and Knowledge Engineering Lab,
Room 803 IT/BT Building 17
Haengdang-dong, Sungdong-gu Seoul, Republic of Korea, 133-791
Tel: +82-2-2220-4567
[email protected]
http://agape.hanyang.ac.kr
