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 :
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