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FameFlower Test Results

Table of Contents

Overview

Jira Legacy
serverSystem JiraJIRA
serverId01505d01-b853-3c2e-90f1-ee9b165564fc
keyPERF-28

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Frontend:
- folio_inventory-2.0.2


Folio build was deployed with 50+ ECS services distributed randomly across four m5.large  EC2 instances and the database was created on the db.r5.xlarge AWS RDS instance. Logging level was set to default INFO.

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  • Most of failed requests were related to GET_/inventory/instances and GET_/instance-bulk/ids that use uses mod-inventory-storageservice, even in a 1-user 30-min test run. mod-inventory-storageThis is due to a combination of slow running queries, high memory usage when exporting more than 100K records.
  • mod-inventory-storage used 99% of container memory on a machine with 8GB RAM to return 50K to 100K records.
    • The workflow that retrieves more than 100K records became non-responsive even with 1 user

    • The workflow with more than 5 users became non-responsive, indicative of exhausted memory usage.  Consider add more memory to mod-inventory-storage container.
  • fasterxml.jackson.databind.ObjectMapper.readValue method of mod-inventory-storage service consumed storage consumed high CPU resources as there were a lot of JSON decoding, this implementation could be reviewed for optimization possibilities.FOLIO performs better without being profiled when the tests are running could be reviewed for optimization possibilities.
  • Some mod-inventory-storage's SQL queries took more than 500ms to run, see the Slow Queries section and Recommended Improvements for the JIRAs created to address these SQL queries.
  • mod-inventory-storage generated missing indexes warnings, see Recommended Improvements for the JIRAs that were created by this testing effort.

Test Runs

30-min Runs for export instance UUIDs workflow:

Test

Virtual Users

Duration

OKAPI log level

Profiled

Ramp up (total time

in seconds)

Size of response (how many instances

were returned)

1. FameFlower

1

30 min

INFO

No

5

10K~50K instances

2. FameFlower

1

30 min

INFO

No

1

50K~100K instances

3. FameFlower

1

30 min

INFO

Yes

10

10K~50K instances

4. FameFlower

1

30 min

INFO

Yes

10

50K~100K instances

5. FameFlower

5

30 min

INFO

No

50

10K~50K instances

6. FameFlower

5

30 min

INFO

No

10

50K~100K instances

7. FameFlower

5

30 min

INFO

Yes

50

10K~50K instances

8. FameFlower

5

30 min

INFO

Yes

50

50K~100K instances

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  Fig 3.1: mod-inventory-storage service consumed 99% of allocated RAM memory in the 5 users and 10K-50K instances retrieved test run.


Image Modified

  Fig 3.1: mod-inventory-storage service consumed 99% of allocated RAM memory in the 5 users and 50K-100K instances retrieved test run.

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Database CPU usage was not high, but the queries took a long time to return, see below.

6.  Database Slow

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queries 
Anchor
slowQueries
slowQueries

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

Query

32%

10,796

15

SELECT jsonb,id FROM fs09000000_mod_inventory_storage.instance WHERE to_tsvector($1, f_unaccent(concat_space_sql(instance.jsonb->>$2 , concat_array_object_values(instance.jsonb->$3,$4) , concat_array_object_values(instance.jsonb->$5,$6)))) @@ (to_tsquery($7, f_unaccent($8))) ORDER BY left(lower(f_unaccent(instance.jsonb->>$9)),$10), lower(f_unaccent(instance.jsonb->>$11))


23%

22,250

5

SELECT jsonb,id FROM fs09000000_mod_inventory_storage.instance WHERE (to_tsvector($1, f_unaccent(concat_space_sql(instance.jsonb->>$2 , concat_array_object_values(instance.jsonb->$3,$4) , concat_array_object_values(instance.jsonb->$5,$6)))) @@ (to_tsquery($7, f_unaccent($8)))) AND (to_tsvector($9, f_unaccent(instance.jsonb->>$10)) @@ replace((to_tsquery($11, f_unaccent($12)))::text, $13, $14)::tsquery) ORDER BY left(lower(f_unaccent(instance.jsonb->>$15)),$16), lower(f_unaccent(instance.jsonb->>$17))


13%

1,709

37

SELECT COUNT(*) FROM (SELECT jsonb,id FROM fs09000000_mod_inventory_storage.instance WHERE to_tsvector($1, f_unaccent(concat_space_sql(instance.jsonb->>$2 , concat_array_object_values(instance.jsonb->$3,$4) , concat_array_object_values(instance.jsonb->$5,$6)))) @@ (to_tsquery($7, f_unaccent($8))) ORDER BY left(lower(f_unaccent(instance.jsonb->>$9)),$10), lower(f_unaccent(instance.jsonb->>$11)) LIMIT $12) x

12%

1,818

34

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)))) AND left(lower(f_unaccent(jsonb->>$10)),$11) < ( SELECT left(lower(f_unaccent(jsonb->>$12)),$13) FROM fs09000000_mod_inventory_storage.instance ORDER BY left(lower(f_unaccent(jsonb->>'title')),600) OFFSET $14 LIMIT $15 ) ORDER BY left(lower(f_unaccent(jsonb->>$16)),$17) LIMIT $18 OFFSET $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 (SELECT COUNT(*) FROM headrecords) < $29 ) SELECT jsonb, title, $30 AS count FROM headrecords WHERE (SELECT COUNT(*) FROM headrecords) >= $31 UNION (SELECT jsonb, title, (SELECT COUNT(*) FROM allrecords) AS count FROM allrecords ORDER BY title LIMIT $32 OFFSET $33 ) ORDER BY title

4%

2,804

7

SELECT COUNT(*) FROM (SELECT jsonb,id FROM fs09000000_mod_inventory_storage.instance WHERE (to_tsvector($1, f_unaccent(concat_space_sql(instance.jsonb->>$2 , concat_array_object_values(instance.jsonb->$3,$4) , concat_array_object_values(instance.jsonb->$5,$6)))) @@ (to_tsquery($7, f_unaccent($8)))) AND (to_tsvector($9, f_unaccent(instance.jsonb->>$10)) @@ replace((to_tsquery($11, f_unaccent($12)))::text, $13, $14)::tsquery) ORDER BY left(lower(f_unaccent(instance.jsonb->>$15)),$16), lower(f_unaccent(instance.jsonb->>$17)) LIMIT $18) x

3%

1,865

9

EXPLAIN ANALYZE WITH 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('''english''')))) AND left(lower(f_unaccent(jsonb->>'title')),600) < ( SELECT left(lower(f_unaccent(jsonb->>'title')),600) FROM fs09000000_mod_inventory_storage.instance ORDER BY left(lower(f_unaccent(jsonb->>'title')),600) OFFSET 10000 LIMIT 1 ) ORDER BY left(lower(f_unaccent(jsonb->>'title')),600) LIMIT 100 OFFSET 0 ), 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('''english''')))) AND (SELECT COUNT(*) FROM headrecords) < 100 ) SELECT jsonb, title, 0 AS count FROM headrecords WHERE (SELECT COUNT(*) FROM headrecords) >= 100 UNION (SELECT jsonb, title, (SELECT COUNT(*) FROM allrecords) AS count FROM allrecords ORDER BY title LIMIT 100 OFFSET 0 ) ORDER BY title

7.  Database Missing indexesindexes 

8. JVM Profiling

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result 
Anchor
profiling
profiling

JVM profiling of the most resources consuming mod-inventory-storage service showed 6 methods which had a high CPU usage and impact on the overall service performance.

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fasterxml.jackson.databind.ObjectMapper.readValue method uses most of CPU capacity which leads to performance degradation


Recommended improvement
Anchor
recommendedImprovements
recommendedImprovements

Consider adding more memory to mod-inventory-storage container if there is a need to export over 100K UUIDs.

The following JIRAs are created for mod-inventory-storage missing indexes and 

Jira Legacy
serverSystem

...

JIRA
serverId01505d01-b853-3c2e-90f1-ee9b165564fc
keyMODINVSTOR-500

Jira Legacy
serverSystem JiraJIRA
serverId01505d01-b853-3c2e-90f1-ee9b165564fc
keyMODINVSTOR-501

Jira Legacy
serverSystem JiraJIRA
serverId01505d01-b853-3c2e-90f1-ee9b165564fc
keyMODINVSTOR-502


Appendix

See Attached FameFlower Performance Test Runs.xlsx for details