FameFlower Test Results

Table of Contents

In this workflow we are checking the performance of the loading items on instance record (in holdings accordion) workflow running in the Fameflower release. We will test it with 1, 5, 8, and 20 virtual users for 30 minutes. A longevity test will also be executed to see if there were memory issues.

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55 back-end modules deployed in 110 ECS services
3 okapi ECS services
8 m5.large EC2 instances
1 db.r5.xlarge AWS RDS instance
INFO logging level

High Level Summary

Overall check in, check out time in seconds
1. Average check in time is 1.51 seconds for a typical use case of 8 users, 1.65 seconds for 20 users
2. Average check out time is 1.75 seconds for a typical use case of 8 users, 1.90 seconds for 20 users
Slow APIs taking more than 100ms to run
1. GET source-storage/formattedRecords/{id}
2. GET inventory/instances keyword all "aba"
3. POST checkout-by-barcode
4. POST checkin-by-barcode
5. Get
6. GET inventory/items
7. GET inventory/instances/{id}
8. GET circulation/loansGet inventory/items
9. GET locations
10. GET circulation/requests
mod-inventory-storage log warnings for missing indexes - 64K lines in 45 minutes run. Logging level could be reduced to WARNING or INFO, but at the cost of having less data to work with should there be a need to troubleshoot. Adding the missing indexes could improve performance while stop logging these warnings
Jira Legacy
server System Jira
serverId 01505d01-b853-3c2e-90f1-ee9b165564fc
key CIRCSTORE-215
JVM profiling shows JSON de/serialization operations one of the slowest operations, totaling more CPU time than other calls. Since FOLIO modules retrieves and stores JSON objects, making sure that serialization and deserialization JSON efficient is essential, see Recommended Improvements

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Overall load items workflow time in seconds

Average (seconds) 50th %tile (seconds) 75th %tile (seconds) 95th %tile (seconds)

1 user 1.015 0.96 14.67 s 1.322
5 users 1.236 1.156 1.464 1.704
8 users 1.512 1.403 1.741 2.02
20 users 1.649 1.535 1.896 2.252

Slow APIs taking more than 100 ms to return

API	1 user (75th %tile)	5 users (75th %tile)	8 users (75th %tile)	20 Users (75th %tile)
GET source-storage/formattedRecords/{id}	5.32 s	19.92 s	34.83 s	1.46 min
GET inventory/instances keyword all "aba"	355.60 ms	753.86 ms	909.02 ms	2.87 s
POST circulation/check-out-by-barcode	679.72 ms	1.04 s	1.11 s	1.45 s
GET inventory/items	164.45 ms	251.71 ms	286.87 ms	405.85 ms
GET inventory/instances/{id}	119.93 ms	115.98 ms	123.88 ms	131.89 ms
GET circulation/loans	221.95 ms	254.08 ms	251.45 ms	256.18 ms
GET locations	221.09 ms	142.89 ms	152.26 ms	205.71 ms
GET circulation/requests	81.77 ms	212.38 ms	257.80 ms	443.79 ms

Excess logging of missing indexes - 64K lines in 45 minutes run. Logging level could be reduced to WARNING or INFO, but at the cost of having less data to work with should there be a need to troubleshoot.
JVM profiling shows JSON de/serialization operations one of the slowest operations.

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Test	Virtual Users	Duration	OKAPI log level	Profiled	Ramp up (total time in seconds)
1.	1	30 min	INFO	No	1
2.	5	30 min	INFO	No	50
3.	8	30 min	INFO	No	80
4.	20	30 min	INFO	No	200
5.	1	30 min	INFO	Yes	1
6.	5	30 min	INFO	Yes	50
7.	8	30 min	INFO	Yes	80
8.	20	30 min	INFO	Yes	200

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Code Block

language	sql
linenumbers	true

6. Database Slow queries

Slowest queries which took the most of execution time were initiated by the mod-inventory-storage service presented in the following table:

Percent of total time	Average Time,ms	Calls	Module	Query
52%	20,855 ms	1,325	mod_source_record_storage	select get_record_by_external_id($1, $2) Examples: EXPLAINANALYZEselect get_record_by_external_id('89a7ec1c-608f-4d24-90b6-57da21557874', 'instanceId') EXPLAIN ANALYZE select get_record_by_external_id('1abdfd67-a4c3-46ba-a66b-82619f633e9a', 'instanceId') EXPLAIN ANALYZE select get_record_by_external_id('ff2f06c1-caf7-427a-9544-d8716eda90a6', 'instanceId')
0.8%	669 ms	658	mod_inventory_storage	WITH headrecords AS ( SELECT jsonb, lower(f_unaccent(jsonb->>$1)) AS title FROM fs09000000_mod_inventory_storage.instance WHERE (to_tsvector($2, f_unaccent(concat_space_sql(instance.jsonb->>$3 , concat_array_object_values(instance.jsonb->$4,$5) , concat_array_object_values(instance.jsonb->$6,$7)))) @@ (to_tsquery($8, f_unaccent($9)))) ANDleft(lower(f_unaccent(jsonb->>$10)),$11) < ( SELECTleft(lower(f_unaccent(jsonb->>$12)),$13) FROM fs09000000_mod_inventory_storage.instance ORDERBYleft(lower(f_unaccent(jsonb->>'title')),600) OFFSET $14LIMIT $15 ) ORDERBYleft(lower(f_unaccent(jsonb->>$16)),$17) LIMIT $18OFFSET $19 ), allrecords AS ( SELECT jsonb, lower(f_unaccent(jsonb->>$20)) AS title FROM fs09000000_mod_inventory_storage.instance WHERE (to_tsvector($21, f_unaccent(concat_space_sql(instance.jsonb->>$22 , concat_array_object_values(instance.jsonb->$23,$24) , concat_array_object_values(instance.jsonb->$25,$26)))) @@ (to_tsquery($27, f_unaccent($28)))) AND (SELECTCOUNT() FROM headrecords) < $29 ) SELECT jsonb, title, $30AScountFROM headrecords WHERE (SELECTCOUNT() FROM headrecords) >= $31UNION (SELECT jsonb, title, (SELECTCOUNT(*) FROM allrecords) AScountFROM allrecords ORDERBY title LIMIT $32OFFSET $33 ) ORDERBY title
0.8%	214 ms	1,918	mod_circulation_storage	SELECT COUNT(*) FROM (SELECT jsonb,id FROM fs09000000_mod_circulation_storage.request WHERE (to_tsvector($1, f_unaccent(request.jsonb->>$2)) @@ replace((to_tsquery($3, f_unaccent($4)))::text, $5, $6)::tsquery) AND (to_tsvector($7, f_unaccent(request.jsonb->>$8)) @@ replace((to_tsquery($9, f_unaccent($10)))::text, $11, $12)::tsquery) LIMIT $13) x
0.6%	177 ms	1,914	mod_inventory_storage	SELECTCOUNT(*) FROM (SELECT jsonb,idFROM fs09000000_mod_inventory_storage.item WHERElower(f_unaccent(item.jsonb->>$1)) LIKElower(f_unaccent($2)) LIMIT $3) x
0.6%	165 ms	1,914	mod_inventory_storage	SELECT jsonb,idFROM fs09000000_mod_inventory_storage.item WHERElower(f_unaccent(item.jsonb->>$1)) LIKElower(f_unaccent($2)) LIMIT $3OFFSET $4
0.4%	1,299 ms	159	mod_inventory_storage	EXPLAINANALYZEWITH headrecords AS ( SELECT jsonb, lower(f_unaccent(jsonb->>'title')) AS title FROM fs09000000_mod_inventory_storage.instance WHERE (to_tsvector('simple', f_unaccent(concat_space_sql(instance.jsonb->>'title' , concat_array_object_values(instance.jsonb->'contributors','name') , concat_array_object_values(instance.jsonb->'identifiers','value')))) @@ (to_tsquery('simple', f_unaccent('''aba''')))) ANDleft(lower(f_unaccent(jsonb->>'title')),600) < ( SELECTleft(lower(f_unaccent(jsonb->>'title')),600) FROM fs09000000_mod_inventory_storage.instance ORDERBYleft(lower(f_unaccent(jsonb->>'title')),600) OFFSET10000LIMIT1 ) ORDERBYleft(lower(f_unaccent(jsonb->>'title')),600) LIMIT100OFFSET0 ), allrecords AS ( SELECT jsonb, lower(f_unaccent(jsonb->>'title')) AS title FROM fs09000000_mod_inventory_storage.instance WHERE (to_tsvector('simple', f_unaccent(concat_space_sql(instance.jsonb->>'title' , concat_array_object_values(instance.jsonb->'contributors','name') , concat_array_object_values(instance.jsonb->'identifiers','value')))) @@ (to_tsquery('simple', f_unaccent('''aba''')))) AND (SELECTCOUNT() FROM headrecords) < 100 ) SELECT jsonb, title, 0AScountFROM headrecords WHERE (SELECTCOUNT() FROM headrecords) >= 100UNION (SELECT jsonb, title, (SELECTCOUNT(*) FROM allrecords) AScountFROM allrecords ORDERBY title LIMIT100OFFSET0 ) ORDERBY title

CPU Utilization

	1 user		5 users		8 users		20 users
	Average %	Range %	Average %	Range %	Average %	Range %	Average %	Range %
Okapi	2.12	0.29-8.94	2.87	1.56-13.65	2.78	0.31-16.82	2.85	0.32-11.65
mod-inventory	0.84	0.31-14.82	0.68	0.30-4.01	0.67	0.26-7.79	0.65	0.27-3.72
mod-inventory-storage	1.59	0.33-8.17	1.87	0.56-9.25	1.81	0.24-9.15	1.78	0.25-23.28
mod-circulation	0.67	0.24-4.12	0.82	0.48-4.44	0.96	0.26-4.04	0.82	0.28-4.12
mod-circulation-storage	0.71	0.25-6.60	0.74	0.31-2.79	0.86	0.29-3.27	0.71	0.27-2.50
mod-source-record-storage	0.34	0.23-1.43	0.50	0.26-1.86	0.53	0.31-2.41	0.43	0.29-1.92

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	1 user	5 users	8 users	20 users
	Average	Average	Average	Average
Okapi	40%	42%	40%	40%
mod-inventory	40%	43%	44%	43%
mod-inventory-storage	40%	40%	41%	41%
mod-circulation	72%	75%	72%	74%
mod-circulation-storage	32%	32%	32%	32%
mod-source-record-storage	53%	53%	53%	53%

Appendix

See Attached FameFlower Performance Test Runs.xlsx for details

Version	Old Version 11	New Version 12
Changes made by	Svitlana Zmiivska (Deactivated)	Svitlana Zmiivska (Deactivated)
Saved on	May 29, 2020	May 29, 2020

Versions Compared

Key

High Level Summary

6. Database Slow queries

CPU Utilization

Appendix

	Average (seconds)	50th %tile (seconds)	75th %tile (seconds)	95th %tile (seconds)

1 user	1.015	0.96	14.67 s	1.322
5 users	1.236	1.156	1.464	1.704
8 users	1.512	1.403	1.741	2.02
20 users	1.649	1.535	1.896	2.252

Page Comparison

Versions Compared

Key

High Level Summary

6. Database Slow queries

CPU Utilization

Appendix