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https://issues.apache.org/jira/browse/IGNITE-27871?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Oleg Valuyskiy updated IGNITE-27871:
------------------------------------
    Description: 
h1. Impact

Users observe high latency under load when executing Compute tasks that are 
present in node classpath while {*}peerClassLoadingEnabled=true{*}. The issue 
is amplified in multi-node clusters and with concurrent executions (thin client 
calling task by name).
h1. Root causes (2 related parts)

*#1*

Local lookup misses cache: local deployment metadata is created without 
classLoader/classLoaderId, so *GridDeploymentLocalStore#deployment(meta)* can’t 
match cached deployments and execution repeatedly falls back to 
*GridDeploymentLocalStore#deploy()* even when deployment already exists.

*#2*

Contention in *deploy()* under load: *GridDeploymentLocalStore#deploy()* is 
synchronized and, in the common reuse scenario, performs an O(N) scan over 
*cache.values()* to locate an existing deployment by ClassLoader. Under high 
concurrency this leads to lock contention.
h1. Behaviour
 * *Expected:* Once a task is available locally, subsequent executions should 
reuse cached deployment with minimal synchronization overhead.
 * *Actual:* Repeated fallback to synchronized *deploy()* and expensive 
scanning causes contention and high latency.

h1. Proposed fix

*#1*

Ensure local deployment lookup metadata includes enough information (class 
loader and/or loader id) to allow cache hits for locally available tasks.

*#2*

Optimize *GridDeploymentLocalStore#deploy()* reuse path by using a ClassLoader 
-> deployment/deps index instead of scanning *cache.values()* under mux.

  was:
h1. Impact

Users observe high latency under load when executing Compute tasks that are 
present in node classpath while {*}peerClassLoadingEnabled=true{*}. The issue 
is amplified in multi-node clusters and with concurrent executions (thin client 
calling task by name).
h1. Root causes (2 related parts)

*#1*

Local lookup misses cache: local deployment metadata is created without 
classLoader/classLoaderId, so *GridDeploymentLocalStore#deployment(meta)* can’t 
match cached deployments and execution repeatedly falls back to 
*GridDeploymentLocalStore#deploy()* even when deployment already exists.

*#2*

Contention in *deploy()* under load: *GridDeploymentLocalStore#deploy()* is 
synchronized and, in the common reuse scenario, performs an O(N) scan over 
*cache.values()* to locate an existing deployment by ClassLoader. Under high 
concurrency this leads to lock contention.
h1. Expected

Once a task is available locally, subsequent executions should reuse cached 
deployment with minimal synchronization overhead.
h1. Actual

Repeated fallback to synchronized *deploy()* and expensive scanning causes 
contention and high latency.
h1. Proposed fix

*#1*

Ensure local deployment lookup metadata includes enough information (class 
loader and/or loader id) to allow cache hits for locally available tasks.

*#2*

Optimize *GridDeploymentLocalStore#deploy()* reuse path by using a ClassLoader 
-> deployment/deps index instead of scanning *cache.values()* under mux.


> High latency for locally deployed tasks when peerClassLoadingEnabled=true 
> (deployment lookup contention)
> --------------------------------------------------------------------------------------------------------
>
>                 Key: IGNITE-27871
>                 URL: https://issues.apache.org/jira/browse/IGNITE-27871
>             Project: Ignite
>          Issue Type: Bug
>            Reporter: Oleg Valuyskiy
>            Assignee: Oleg Valuyskiy
>            Priority: Major
>              Labels: ise
>
> h1. Impact
> Users observe high latency under load when executing Compute tasks that are 
> present in node classpath while {*}peerClassLoadingEnabled=true{*}. The issue 
> is amplified in multi-node clusters and with concurrent executions (thin 
> client calling task by name).
> h1. Root causes (2 related parts)
> *#1*
> Local lookup misses cache: local deployment metadata is created without 
> classLoader/classLoaderId, so *GridDeploymentLocalStore#deployment(meta)* 
> can’t match cached deployments and execution repeatedly falls back to 
> *GridDeploymentLocalStore#deploy()* even when deployment already exists.
> *#2*
> Contention in *deploy()* under load: *GridDeploymentLocalStore#deploy()* is 
> synchronized and, in the common reuse scenario, performs an O(N) scan over 
> *cache.values()* to locate an existing deployment by ClassLoader. Under high 
> concurrency this leads to lock contention.
> h1. Behaviour
>  * *Expected:* Once a task is available locally, subsequent executions should 
> reuse cached deployment with minimal synchronization overhead.
>  * *Actual:* Repeated fallback to synchronized *deploy()* and expensive 
> scanning causes contention and high latency.
> h1. Proposed fix
> *#1*
> Ensure local deployment lookup metadata includes enough information (class 
> loader and/or loader id) to allow cache hits for locally available tasks.
> *#2*
> Optimize *GridDeploymentLocalStore#deploy()* reuse path by using a 
> ClassLoader -> deployment/deps index instead of scanning *cache.values()* 
> under mux.



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