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https://issues.apache.org/jira/browse/JENA-801?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andy Seaborne resolved JENA-801.
--------------------------------
       Resolution: Fixed
    Fix Version/s: Jena 2.13.1
         Assignee: Andy Seaborne

> When the server is under load, many queries are piling up and seems to be in 
> some kind of dead lock.
> ----------------------------------------------------------------------------------------------------
>
>                 Key: JENA-801
>                 URL: https://issues.apache.org/jira/browse/JENA-801
>             Project: Apache Jena
>          Issue Type: Bug
>          Components: TDB
>    Affects Versions: TDB 0.9.4, Jena 2.11.2
>            Reporter: Bala Kolla
>            Assignee: Andy Seaborne
>             Fix For: Jena 2.13.1
>
>         Attachments: 
> ThreadLocksInBlockMgrJournalAfterGuavaCacheInNodeTable.htm, 
> TracesWithManyItersOfBlockMgrJournal_Valid_Method.txt, 
> TracesWithManyItersOfBlockMgrJournal_getRead_Method.txt, 
> WAITDataReportShowingTheLockContention.zip, 
> WAITDataReportShowingTheLockContentionWithoutQueryFilter.zip
>
>
> We were testing our server with repositories of varied sizes and in almost 
> all the cases when the server peaks its capacity (of maximum number of users 
> it can support), It seems like the queries are piling up because of the lock 
> contention in NodeTableCache.
> Here are some details about the repository..
> size of indices on disk - 150GB
> type of hard disk used - SSD and HDD with high RAM (seeing the same result in 
> both the cases)
> OS - Linux
> Details on the user load;
> We are trying to simulate a very active user load where all the users are 
> executing many usecases that would result in many queries and updates on TDB.
> I would like to know what are the possible solutions to work around and avoid 
> this situation. I am thinking of the following, please let me know if there 
> is any other way to work around this bottleneck.
> Control the updates to the triple store so that we only do it when there are 
> not many queries pending. We would have to experiment how this impact the 
> usecases..
> Is there any other way to make this lock contention go away? Can we have 
> multiple instances of this cache? For example many (90%) of our queries are 
> executed with a query scope (per project). So, can we have a separate 
> NodeTable cache for each query scope (project in our case) and one for 
> global? 



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