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1

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serverONAP Jira
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serverId425b2b0a-557c-3c0c-b515-579789cceedb
keyCPS-2146



Managed by Daniel Hanrahan See short term solution below

2

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serverONAP Jira
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serverId425b2b0a-557c-3c0c-b515-579789cceedb
keyCPS-2156

Very likely related to #1Won't investigate separately, apply short term solutions mentioned below to #1 and test again Separate fix but probably will contribute to #1 too.
CPS Team can close this once deployment documentation has been updated to reflect this
3

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serverONAP Jira
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serverId425b2b0a-557c-3c0c-b515-579789cceedb
keyCPS-2122

Very likely related to #1Won't investigate separately, apply short term solutions mentioned below to #1 and test again Not reproducible. Doesn't seem to be a NCMP Server issue, posisble just a once-off general r(networking) resource issue. Will be closed
4

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serverONAP Jira
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serverId425b2b0a-557c-3c0c-b515-579789cceedb
keyCPS-2150

Indirectly related to #1Ticket relates to an incorrect timeout limit, not the timeout itself. 

Managed by Priyank Maheshwari solution currently being tested

5

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serverONAP Jira
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columnskey,summary,type,created,updated,due,assignee,reporter,priority,status,resolution
serverId425b2b0a-557c-3c0c-b515-579789cceedb
keyCPS-2139

Not related
Investigated by Levente Csanyi 

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Csaba Kocsis ETH will test and report back to CPS #4

IssueNotes Decision
1

Increase memory resources of NCMP (helm chart)

Memory resources of CPS/NCMP pod should be increased to 4GB, 5GB, etc. to determine if the OOME for CPS-2146 is fixed.

Csaba Kocsis ETH will test and report back to CPS

2

Increase shared_buffer allocation in Postgres config

There is preliminary confirmation that this alone fixes CPS-2156, more testing is in progress. This was confirmed to fix CPS-2156.

ETH has already implemented fix.
EST has updated CPS documentation: https://gerrit.onap.org/r/c/cps/+/137534

3

NCMP will implement throttling / rate limiting for Rest API (e.g. 503 HTTP response)

Requires determining maximum request rate, e.g. compare previous successful versus failing tests (e.g. 3.4.2 vs 3.4.6) to determine throttling.

A poc of rate limiting has been created: 20747:
WIP Rate limit NCMP Rest requests | https://gerrit.nordix.org/c/onap/cps/+/20747

  1. Daniel Hanrahan will report statistics of previous passing test (# request per seconds for 20K registration)
    and compare with request rate after performance improvements and failing user cases
  2. Daniel Hanrahan  will investigate how server can report/reject when requests load is too high
  3. Need to agree with stakeholder acceptable limits of request load (per interface?)
4

Rest client (for load tests) will throttle


Depend on outcome of #3 above
5

Lower thread count for Module Sync

This can be done using variable NCMP_MODULES_SYNC_WATCHDOG_ASYNC_EXECUTOR_PARALLELISM_LEVEL (default 10)

Csaba Kocsis ETH will test and report back to CPS

6

Review Hazelcast configuration

Hazelcast is configured to have multiple backups which are not needed in a deployment with only 2 NCMP instances (2 instances requires only 2 copies across the cluster). Testing has shown that having appropriate amount of backups to suit cluster size reduces heap usage by around 100MB during  20K CM handle registration.

Daniel Hanrahanhas provided a patch to reduce memory consumption: https://gerrit.onap.org/r/c/cps/+/137517

Background

CPS and NCMP have much higher memory consumption than required. Regarding NCMP specifically, it has some in-memory data structures that grow linearly with the number of CM-handles.

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One avenue worth further investigation is a series of recent performance improvements to CPS and NCMP introduced around 3.4.2:

VersionJiraCommentExample performance test
3.4.2

Jira
serverONAP Jira
columnIdsissuekey,summary,issuetype,created,updated,duedate,assignee,reporter,priority,status,resolution
columnskey,summary,type,created,updated,due,assignee,reporter,priority,status,resolution
serverId425b2b0a-557c-3c0c-b515-579789cceedb
keyCPS-1795

Improved time performance of CPS store operations (2x or more).org.onap.cps.integration.performance.cps.WritePerfTest#Writing openroadm data has linear time.
3.4.3

Jira
serverONAP Jira
columnIdsissuekey,summary,issuetype,created,updated,duedate,assignee,reporter,priority,status,resolution
columnskey,summary,type,created,updated,due,assignee,reporter,priority,status,resolution
serverId425b2b0a-557c-3c0c-b515-579789cceedb
keyCPS-2018

Improved time performance of CPS update operations (2x in some cases, stacks with CPS-1795)cases, stacks with CPS-1795).org.onap.cps.integration.performance.cps.UpdatePerfTest#Replace single data node and descendants: #scenario.
3.4.3

Jira
serverONAP Jira
columnIdsissuekey,summary,issuetype,created,updated,duedate,assignee,reporter,priority,status,resolution
columnskey,summary,type,created,updated,due,assignee,reporter,priority,status,resolution
serverId425b2b0a-557c-3c0c-b515-579789cceedb
keyCPS-2019

Improved time performance of saving CM handles (over 4x faster, stacks with CPS-1795).See https://gerrit.onap.org/r/c/cps/+/136932
The code was changed to remove the slower API, and production code uses the 4x faster APIImproved time performance of saving CM handles (over 4x faster, stacks with CPS-1795).
3.4.3

Jira
serverONAP Jira
columnIdsissuekey,summary,issuetype,created,updated,duedate,assignee,reporter,priority,status,resolution
columnskey,summary,type,created,updated,due,assignee,reporter,priority,status,resolution
serverId425b2b0a-557c-3c0c-b515-579789cceedb
keyCPS-2087

Improved time performance of CPS queries (5-10x).org.onap.cps.integration.performance.ncmp.CmHandleQueryPerfTest#CM-handle is looked up by alternate-id.
3.4.6

Jira
serverONAP Jira
columnIdsissuekey,summary,issuetype,created,updated,duedate,assignee,reporter,priority,status,resolution
columnskey,summary,type,created,updated,due,assignee,reporter,priority,status,resolution
serverId425b2b0a-557c-3c0c-b515-579789cceedb
keyCPS-2126

Removed Spring Security, which greatly reduced overhead on Rest requests (over 10x).K6 test will be added as part of CPS-1975

Cumulatively, both read and write speeds are up to 10x faster than previous versions, and overhead on Rest requests is over 10x lower. It is very possible that these improvements are adversely affecting memory usage during load tests.

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