The initial dataset to load into the repository before testing proper begins.

This dataset is designed for the testing of hierarchical data and cascading operations (primarily delete).

 

Broad and shallow tree:

ParameterSuggested valuesNotes
Number of containers1000 X 10,000 X 21000 containers, 10,000 children per container, 2 grandchildren per child
Average number of binaries per container2 
Standard deviation of binary per container0 
Average size of binary1024approx. 40GB of data
Standard deviation of binary size0 
Average number of properties per resource1fcr:accessroles (for authorization testing; should be ignored if authz is turned off)
Standard deviation of properties per resource0 
Is binary data random?Yes 

 

Narrow and deep tree:

ParameterSuggested valuesNotes
Number of containers10^810 containers per level, with ten children each, for eight levels
Average number of binaries per container2 
Standard deviation of binary per container0 
Average size of binary1024 approx. 200 GB of data
Standard deviation of binary size0 
Average number of properties per resource1fcr:accessroles (for authorization testing; should be ignored if authz is turned off)
Standard deviation of properties per resource0 
Is binary data random?Yes 

 

Broad and deep tree:

ParameterSuggested valuesNotes
Number of containers100^6100 containers per level for six levels
Average number of binaries per container1 
Standard deviation of binary per container0 
Average size of binary10 approx 1TB data
Standard deviation of binary size0 
Average number of properties per resource1fcr:accessroles (for authorization testing; should be ignored if authz is turned off)
Standard deviation of properties per resource0 
Is binary data random?Yes