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:
Parameter | Suggested values | Notes |
---|---|---|
Number of objects | 1000 X 10,000 X 2 | 1000 objects, 10,000 children per object, 2 grandchildren per child |
Average number of datastreams per object | 2 | |
Standard deviation of datastreams per object | 0 | |
Average size of datastream | 1024 | approx. 40GB of data |
Standard deviation of datastream size | 0 | |
Average number of properties per node | n/a | no properties set |
Standard deviation of properties per node | n/a | |
Is datastream data random? | Yes |
Narrow and deep tree:
Parameter | Suggested values | Notes |
---|---|---|
Number of objects | 10^8 | 10 objects per level, with ten children each, for eight levels |
Average number of datastreams per object | 2 | |
Standard deviation of datastreams per object | 0 | |
Average size of datastream | 1024 | approx. 200 GB of data |
Standard deviation of datastream size | 0 | |
Average number of properties per node | n/a | no properties set |
Standard deviation of properties per node | n/a | |
Is datastream data random? | Yes |
Broad and deep tree:
Parameter | Suggested values | Notes |
---|---|---|
Number of objects | 100^6 | 100 objects per level for six levels |
Average number of datastreams per object | 1 | |
Standard deviation of datastreams per object | 0 | |
Average size of datastream | 10 | approx 1TB data |
Standard deviation of datastream size | 0 | |
Average number of properties per node | n/a | no properties set |
Standard deviation of properties per node | n/a | |
Is datastream data random? | Yes |