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.
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 :
> Warm Regards,
> cloudfront.blogspot.com <http://cloudfront.blogspot.com>
> On Mon, Feb 18, 2013 at 5:00 PM, Masoud
> '[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 Reyhani Hamedani
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