While the odbxx API has been successfully used since the last months, a potential 
problem with large ODBs surfaced. If you have lots of data in the ODB and load it 
into an object like

midas::odb o("/Equipment");

this might take quite long, since each ODB value is fetched separately, which is 
very quick on a local machine but can take long over a client-server connection. 
For large experiments this can take up to minutes (!).

To get rid of this problem, the underlying object model has been modified. When an 
object is instantiated like above, then the whole ODB tree is fetched in an XML 
buffer in a single transfer, which even for large ODBs usually takes much less 
than a second. Then the XML buffer is decomposed on the client side and converted 
into the proper midas::odb objects. In one case this gave an improvement from 35 
seconds to 0.5 seconds which is significant. To enable the new method, the object 
can be created with a flag like

midas::odb o("/Equipment", true);

which then switches to the new method. One has to take care not to fool oneself 
(like I did) by printing the object like

midas::odb o("/Equipment", true);
std::cout << o << std::endl;

because each read access to any sub-object of o causes a separate read request to 
the server which again can take long. Therefore, one has to switch off the auto 
refresh via

midas::odb o("/Equipment", true);
o.set_auto_refresh_read(false);
std::cout << o << std::endl;

Accessing any sub-object of o then does not cause a client-server request, which 
is not necessary if all objects just have been pulled from the server before. If 
one keeps the object however for a long time in memory, one has to be aware that 
it only contains "old" values from the time if instantiation. If one needs more 
current ODB values, the auto read refresh has to be turned on again.

Stefan