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Posted to issues@ignite.apache.org by "Alexandr Fedotov (JIRA)" <ji...@apache.org> on 2017/07/10 11:17:00 UTC

[jira] [Updated] (IGNITE-5721) Calls to org.apache.ignite.IgniteCache#localPeek under high load lead to huge allocation of org.apache.ignite.internal.binary.BinaryReaderExImpl instances

     [ https://issues.apache.org/jira/browse/IGNITE-5721?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Alexandr Fedotov updated IGNITE-5721:
-------------------------------------
    Description: 
Calls to org.apache.ignite.IgniteCache#localPeek under high load lead to huge allocation of  org.apache.ignite.internal.binary.BinaryReaderExImpl instances in org.apache.ignite.internal.binary.BinaryUtils#doReadObject method.
Optimizing this point should reduce memory pressure.

An example of memory allocation in a read only scenario



  was:
Calls to org.apache.ignite.IgniteCache#localPeek under high load lead to huge allocation of  org.apache.ignite.internal.binary.BinaryReaderExImpl instances in org.apache.ignite.internal.binary.BinaryUtils#doReadObject method.
Optimizing this point should reduce memory pressure.




> Calls to org.apache.ignite.IgniteCache#localPeek under high load lead to huge allocation of  org.apache.ignite.internal.binary.BinaryReaderExImpl instances
> -----------------------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: IGNITE-5721
>                 URL: https://issues.apache.org/jira/browse/IGNITE-5721
>             Project: Ignite
>          Issue Type: Improvement
>          Components: cache
>    Affects Versions: 2.0
>            Reporter: Alexandr Fedotov
>              Labels: 2.0
>             Fix For: 2.2
>
>
> Calls to org.apache.ignite.IgniteCache#localPeek under high load lead to huge allocation of  org.apache.ignite.internal.binary.BinaryReaderExImpl instances in org.apache.ignite.internal.binary.BinaryUtils#doReadObject method.
> Optimizing this point should reduce memory pressure.
> An example of memory allocation in a read only scenario



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