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Svitlana Zmiivska (Deactivated)

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FameFlower Test Results

Overview

Using the Carrier-io framework for capturing and analyzing performance test results, the following tests for the export instance UUIDs workflows were executed.

The testing was provided with the modules:

Backend:
- mod-inventory-storage-19.1.2
- mod-inventory-14.1.3
- mod-authtoken-2.4.0
- mod-permissions-5.9.0
- okapi-2.38.0
Frontend:
- folio_inventory-2.0.2

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 records

    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


    Results

    *All numbers are in milliseconds except for those in the Delta % column, which indicates the difference in percentage going from 1 to 5 users, 10K~50K instances

    1. High level FameFlower results data

    1 and 5 users tests runs, 10K~50K instances


...

Folio build was deployed with 50+ ECS services installed randomly across 4 m5.large instances in the fcp1-pvt cluster and the database was created on the db.r5.xlarge AWS RDS instance. Logging level was set to default INFO.

...

During testing the workflow with 5 users and 50K~100K instances, mod-inventory-storage was crashing a few times due to OOM. There are 4 instances of mod-inventory-storage active in this test run. This means that it crashed 3 times and spun up new mod-inventory-storage instances

Image Modified

4. Database CPU trends  

...

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

6.  Missing indexes

7. CPU Profiling result


CPU profiling of the most resources consuming mod-inventory-storage service showed 4 methods which had a high CPU usage and impact on the overall service performance.


Image Added


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


Image Added

Summary

        See Attached FameFlower Performance Test Runs.xlsx for details 

  • FOLIO performs better without being profiled when the tests are running 

...

  • Most of failed requests were related to GET_/inventory/instances and GET_/instance-bulk/ids that use mod-inventory-storage service
  • GET_/inventory/instances and GET_/instance-bulk/ids have failed responses even for 1 user (30 min test run)
  • mod-inventory-storage was crashing a few times due to OutOfMemoryError during the test runs

  • The workflow with more than 100K records become unresponsive even with 1 user

  • The workflow with more than 5 users become unresponsive
  • Memory Issues: 
    • mod-inventory-storage has noticeable to significant gains in memory used.  
  • fasterxml.jackson.databind.ObjectMapper.readValue method of mod-inventory-storage service overuses CPU resources as there are a lot of JSON decoding, this implementation could be reviewed and improved to reduce operations with JSON

...