In Progress
Jira Legacy server System Jira serverId 01505d01-b853-3c2e-90f1-ee9b165564fc key PERF-100
Success criteria:
- Scripts to generate the data be checked in
- A report showing all the queries and times.
- Analysis of why a query with the * token is slow or fast, if possible.
Table of Contents
Overview:
In PERF-83 it was observed that a CQL query with the * token at the end resulted in a faster response time, despite a much higher database usage.
There are many entities of different statuses in FOLIO. It'd be interesting to see if this pattern holds true for other statuses and CQL queries.
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GET /circulation/loans?limit=2147483647&query=(itemId==${current_item} and status.name=="Closed*")
GET /circulation/requests?(itemId==${item_id} and (status=="Open - Awaiting pickup*" or status=="Open - Awaiting delivery*"))
GET /circulation/requests?(requesterId==${userID} and pickupServicePointId=${servicePoints_Id} and status=="Open - Awaiting pickup*")
Version:
OKAPI - Version 3.1.1
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Test | Virtual Users | Query | Duration (sec) | Rump Up (sec) |
---|---|---|---|---|
1 | 8 | /circulation/loans?limit=2147483647&query=(itemId==${current_item} and status.name=="Closed") | 1800 | 80 |
2 | 20 | /circulation/loans?limit=2147483647&query=(itemId==${current_item} and status.name=="Closed") | 200 | |
3 | 8 | /circulation/loans?limit=2147483647&query=(itemId==${current_item} and status.name=="Closed*") | 80 | |
4 | 20 | /circulation/loans?limit=2147483647&query=(itemId==${current_item} and status.name=="Closed*") | 200 | |
5 | 8 | /circulation/requests?(itemId==[current_item] and (status=="Open - Not yet filled" or status=="Open - Awaiting delivery")) | 80 | |
6 | 20 | /circulation/requests?(itemId==[current_item] and (status=="Open - Not yet filled" or status=="Open - Awaiting delivery")) | 200 | |
7 | 8 | /circulation/requests?(itemId==[item_id] and (status=="Open - Not yet filled*" or status=="Open - Awaiting delivery*")) | 80 | |
8 | 20 | /circulation/requests?(itemId==[item_id] and (status=="Open - Not yet filled*" or status=="Open - Awaiting delivery*")) | 200 | |
9 | 8 | /circulation/requests?(requesterId==[requesterID] and pickupServicePointId=[pickPoint] and status=="Open - Not yet filled") | 80 | |
10 | 20 | /circulation/requests?(requesterId==[requesterID] and pickupServicePointId=[pickPoint] and status=="Open - Not yet filled") | 200 | |
11 | 8 | /circulation/requests?(requesterId==[requesterID] and pickupServicePointId=[pickPoint] and status=="Open - Not yet filled*") | 80 | |
12 | 20 | /circulation/requests?(requesterId==[requesterID] and pickupServicePointId=[pickPoint] and status=="Open - Not yet filled*") | 200 |
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For instance for "Closed" status query (GET /circulation/loans?limit=2147483647&query=(itemId==[current_item] and status.name=="Closed")) (test 1, 8 users)75 response time percentile without "*" token is 1.085 seconds and response time 75 percentile for same query with "*" token is 1,074 seconds so in this particular case delta is 11 ms. Same behavior can be seeing in next test for 20 users with same query: without "*" token 75 percentile of response time is 3.815 seconds and with "*" token it's 3.799, delta is 15 ms.
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Test | Virtual Users | Request | Total | OK | 75th pct | 95th pct | 99th pct | Max | |
---|---|---|---|---|---|---|---|---|---|
1 | 8 | GET /circulation/loans?limit=2147483647&query=(itemId==[current_item] and status.name=="Closed") | link | 13788 | 13788 | 1.085 | 1.235 | 3.028 | 5.706 |
2 | 20 | GET /circulation/loans?limit=2147483647&query=(itemId==[current_item] and status.name=="Closed") | link | 12225 | 12143 | 3.815 | 4.736 | 6.181 | 30.171 |
3 | 8 | GET /circulation/loans?limit=2147483647&query=(itemId==[current_item] and status.name=="Closed*") | link | 13691 | 13582 | 1.074 | 1.226 | 3.205 | 32.6 |
4 | 20 | GET /circulation/loans?limit=2147483647&query=(itemId==[current_item] and status.name=="Closed*") | link | 12548 | 12548 | 3.799 | 4.715 | 5.46 | 9.462 |
5 | 8 | GET /circulation/requests?(itemId==[current_item] and (status==Open - Not yet filled or status==Open - Awaiting delivery)) | link | 69925 | 69925 | 0.204 | 0.24 | 0.309 | 4.328 |
6 | 20 | GET /circulation/requests?(itemId==[current_item] and (status==Open - Not yet filled or status==Open - Awaiting delivery)) | link | 86602 | 86602 | 0.423 | 0.513 | 0.661 | 15.306 |
7 | 8 | GET /circulation/requests?(itemId==[item_id] and (status=="Open - Awaiting pickup*" or status=="Open - Awaiting delivery*")) | link | 67688 | 67688 | 0.214 | 0.26 | 0.385 | 23.776 |
8 | 20 | GET /circulation/requests?(itemId==[item_id] and (status=="Open - Awaiting pickup*" or status=="Open - Awaiting delivery*")) | link | 78697 | 78697 | 0.48 | 0.607 | 0.969 | 8.646 |
9 | 8 | GET /circulation/requests?(requesterId==[requesterID] and pickupServicePointId=[pickPoint] and status=="Open - Not yet filled") | link | 66713 | 66713 | 0.215 | 0.265 | 0.384 | 31.676 |
10 | 20 | GET /circulation/requests?(requesterId==[requesterID] and pickupServicePointId=[pickPoint] and status=="Open - Not yet filled") | link | 79364 | 79364 | 0.477 | 0.603 | 0.99 | 3.834 |
11 | 8 | GET /circulation/requests?(requesterId==[requesterID] and pickupServicePointId=[pickPoint] and status=="Open - Not yet filled*") | link | 66830 | 66830 | 0.217 | 0.269 | 0.401 | 2.991 |
12 | 20 | GET /circulation/requests?(requesterId==[requesterID] and pickupServicePointId=[pickPoint] and status=="Open - Not yet filled*") | link | 78824 | 78824 | 0.482 | 0.611 | 0.923 | 4.893 |
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GET /circulation/loans?limit=2147483647&query=(itemId==[current_item] and status.name=="Closed") 8 Users test run Resources usage:
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GET /circulation/loans?limit=2147483647&query=(itemId==[current_item] and status.name=="Closed") 20 Users test run Resources usage:
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- As was proven - there is no big difference between queries used "*" token and without it. Difference between 75% response times fluctuates from +11 ms to -5 ms;
- There is dependency between data volume in DB. For instance Closed status records quantity was 15 K and Open status records was 5K. and the difference between 75 % response times are 750%. so volume testing is recommended to define performance degradation depends on data volume.
- The following WARNING statements of missing indexes were generated by mod-circulation during a test run:
WARNING: Doing LIKE search without index for accounts.jsonb->>'loanId', CQL >>> SQL: loanId == 5fb2c891-64eb-4b6c-b3a2-715ad91f593b >>> lower(f_unaccent(accounts.jsonb->>'loanId')) LIKE lower(f_unaccent('5fb2c891-64eb-4b6c-b3a2-715ad91f593b'))