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An investigation into exadata, part 2

It’s been a while since I’ve post the first part of this series.


I created a little tool, snap, which is more or less a combination of Tanel Poder’s snapper and a script from Tom Kyte. I used this for the first part to give me all the details of database process I was using. The next step is invoking Oracle’s Parallel Query feature. Parallel Query means multiple processing are working together to execute a query.

An investigation into exadata

This is an investigation into an half rack database machine (the half rack database machine at VX Company). It’s an exadata/database V2, which means SUN hardware and database and cell (storage) software version 11.2.

I build a table (called ‘CG_VAR’), which consists of:
- bytes: 50787188736 (47.30 GB)
- extents: 6194
- blocks: 6199608

The table doesn’t have a primary key, nor any other constraints, nor any indexes. (of course this is not a real life situation)

No exadata optimisation

At first I disabled the Oracle storage optimisation using the session parameter ‘CELL_OFFLOAD_PROCESSING’:
alter session set cell_offload_processing=false;

Then executed: select count(*) from cg_var where sample_id=1;
The value ’1′ in the table ‘CG_VAR’ accounts for roughly 25%.

Execution plan: