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Test data used complies with Open ROADM YANG model.

Storing data nodes

A number of openroadm device nodes will be stored using CpsService::saveData.

Observations

• Storing data nodes has linear time complexity (as expected).
• There are edge cases with worse complexity.
• Performance can be improved by enabling write batching (CPS-1795)
• There are edge cases with exponential complexity.

Updating data nodes

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In this scenario, 1000 devices nodes are already defined. A number of these existing data nodes will be updated using CpsService::updateDataNodeAndDescendants.

Device nodes	1	100	200	300	400	500	600	700	800	900	1000
Time (seconds)	0.215	12.79	28.38	44.23	51.55	69.46	85.67	95.02	109.16	117.00	131.15

Observations

• Updating data nodes has linear time complexity (as expected).
• Updating is approximately 5.5 times slower than storing data nodes .

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• (even if the updated data is identical to the existing data).

Updating data leaves

In this scenario, 1000 devices nodes are already defined. The data leaves of a number of these existing data nodes will be updated using CpsService::updateNodeLeaves.

Observations

• Updating data leaves has linear time complexity.

Reading data

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nodes

Cps Path Queries

Deleting data nodes

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