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Svitlana Zmiivska (Deactivated)

Svitlana Zmiivska (Deactivated)

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Table of Contents

Overview

In this workflow we are checking the performance of the loading items on instance record (in holdings accordion) workflow running in the Fameflower release . The series of steps can be found in the attached screencast. 

Jira Legacy
serverSystem Jira
columnskey,summary,type,created,updated,due,assignee,reporter,priority,status,resolution
serverId01505d01-b853-3c2e-90f1-ee9b165564fc
keyPERF-40
.  The series of steps can be found in the attached screencast. 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.

...

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

...

  1. Overall load items workflow time in seconds


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





    1 user1.0150.9614.67 s1.322
    5 users1.2361.1561.4641.704
    8 users1.5121.4031.7412.02
    20 users1.6491.5351.8962.252


  2. Slow APIs taking more than 100 ms to return

    API1 user (75th %tile)5 users (75th %tile)8 users (75th %tile)20 Users (75th %tile)
    GET source-storage/formattedRecords/{id}5.32 s19.92 s34.83 s1.46 min

    GET inventory/instances keyword all "aba"

    		355.60 ms753.86 ms909.02 ms2.87 s
    POST circulation/check-out-by-barcode679.72 ms1.04 s1.11 s1.45 s
    GET inventory/items164.45 ms251.71 ms286.87 ms405.85 ms
    GET inventory/instances/{id}119.93 ms115.98 ms123.88 ms131.89 ms
    GET circulation/loans221.95 ms254.08 ms251.45 ms256.18 ms
    GET locations221.09 ms142.89 ms152.26 ms205.71 ms
    GET circulation/requests81.77 ms212.38 ms257.80 ms443.79 ms


  3. 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.


  4. JVM profiling shows JSON de/serialization operations one of the slowest operations.

...

There aren't any WARNING statements of missing indexes in mod-inventory-storage, mod-source-record-storage modules.

The following WARNING statements of missing indexes were generated during a test run and logged by mod-circulation-storage:

...

Slowest queries which took the most of execution time were initiated by the mod_source_record_storage, mod-inventory-storage and mod_circulation_storage services presented in the following table:


Percent of total time

Average Time,ms

Calls

Module

Query

52%20,855 ms 1,325mod_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 ms658mod_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


E.x.

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('''aba''')))) 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('''aba''')))) 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

0.8%214 ms1,918mod_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

E.x.

SELECT COUNT(*) FROM (SELECT jsonb,id FROM fs09000000_mod_circulation_storage.request WHERE (to_tsvector('simple', f_unaccent(request.jsonb->>'requesterId')) @@ replace((to_tsquery('simple', f_unaccent('''c2d0fc7d-85a9-4527-945d-6e5e29e74efc''')))::text, '&', '<->')::tsquery) AND (to_tsvector('simple', f_unaccent(request.jsonb->>'status')) @@ replace((to_tsquery('simple', f_unaccent('''Open''')))::text, '&', '<->')::tsquery) LIMIT 100) x

0.6%177 ms1,914mod_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

E.x.

SELECT COUNT(*) FROM (SELECT jsonb,id FROM fs09000000_mod_inventory_storage.item WHERE lower(f_unaccent(item.jsonb->>'barcode')) LIKE lower(f_unaccent('19878861')) LIMIT 1) x

0.6%165 ms1,914mod_inventory_storage

SELECT jsonb,idFROM fs09000000_mod_inventory_storage.item WHERElower(f_unaccent(item.jsonb->>$1)) LIKElower(f_unaccent($2)) LIMIT $3OFFSET $4

E.x.

SELECT jsonb,idFROM fs09000000_mod_inventory_storage.item WHERE lower(f_unaccent(item.jsonb->>'barcode')) LIKE lower(f_unaccent('19878861')) LIMIT 1 OFFSET 0


CPU Utilization


1 user5 users8 users20 users

Average %Range %Average %Range %Average %Range %Average %Range %
Okapi2.120.29-8.942.871.56-13.652.780.31-16.822.850.32-11.65
mod-inventory0.840.31-14.820.680.30-4.010.670.26-7.790.650.27-3.72
mod-inventory-storage1.590.33-8.171.870.56-9.251.810.24-9.151.780.25-23.28
mod-circulation0.670.24-4.120.820.48-4.440.960.26-4.040.820.28-4.12
mod-circulation-storage0.710.25-6.600.740.31-2.790.860.29-3.270.710.27-2.50
mod-source-record-storage0.340.23-1.430.500.26-1.860.530.31-2.410.430.29-1.92

...

  • On average, the performance can be improved by 100%. if we remove redundant "EXPLAIN ANALYZE" query call on mod_source_record_storage module. EXPLAIN ANALYZE statements are debugging statements that added a second execution (along with the first one) therefore increasing the overall time by 100%. 
  • Missing Indexes Warnings are covered by the story
    Jira Legacy
    serverSystem Jira
    serverId01505d01-b853-3c2e-90f1-ee9b165564fc
    keyCIRCSTORE-215
  • In mod-inventory-storage and okapi consider using a more efficient JSON package or calling use the existing jackson serialization calls in a different way to address the item: JVM profiling shows JSON de/serialization operations one of the slowest operations.

Appendix

See Attached FameFlower Performance Test Runs.xlsx for details