Table of Contents

Overview

Bulk Edit - Establish a performance baseline for user status bulk updates.

Jira Legacy

How long does it take to export 100, 1000, 5000, 10k, and 100K records?
Use it for up to 5 concurrent users.
Look for a memory trend and CPU usage
Pay attention to any RTR token expiration messages and observe how/if BE is affected by expiring tokens. If needed set the Access token's expiration time to 300s or less to trigger the Access token's quick expiration.

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Comparison table of bulk-edit process duration on Poppy and Orchid releases

Number of VU/ Records	1VU Poppy Average	1VU Orchid Average	diff,%	2VU Poppy Average	2VU Orchid Average	diff,%	3VU Poppy Average	3VU Orchid Average	diff,%	4VU Poppy Average	4VU Orchid Average	diff,%	5VU Poppy Average	5VU Orchid Average	diff,%
100	00:01:14	00:01:09	9%	00:01:14	not tested	-	00:01:14	not tested	-	00:01:11	not tested	-	00:01:13	not tested	-
1000	00:02:53	00:02:36	9%	00:02:58	not tested	-	00:02:53	not tested	-	00:03:03	not tested	-	00:03:08	not tested	-
10k	00:19:38	00:17:50	9%	00:20:28	00:17:50	8.7%	00:20:15	00:18:50	9%	00:20:55	00:19:10	9%	00:22:18	00:20:20	9%
50K	not tested	01:58:20	-	not tested	not tested	-	not tested	not tested	-	not tested	not tested	-	not tested	not tested	-
100K	03:14:59	FAILED	-	03:24:41	FAILED	-	03:24:26	FAILED	-	03:24:18	FAILED	-	04:07:12	FAILED	-

Link to the report with Orchid items apps testing results Bulk Edit Items App report [Orchid] 08/03/2023

Resource utilization

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PTF -environment pcp1

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