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https://issues.apache.org/jira/browse/OAK-4837?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Amit Jain updated OAK-4837:
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Attachment: FileWriteBenchmark.png
FileReadBenchmark.png
SmallFileWriteTest/SmallFileReadTest for different file sizes (50 KB, 250 KB, 1
MB, 5 MB) with different implementation:
* FileDataStore
* JR2 S3 (Using JR2 CachingDataStore)
* S3 (Using the new AbstractSharedCachingDataStore)
There is a small improvement in the writes ~13-15% but tapers of as File size
increases.
!FileWriteBenchmark.png!
The read performance is approximately same for all the 3 DataStores using
default caching parameters.
!FileReadBenchmark.png!
> Improved caching for DataStore
> ------------------------------
>
> Key: OAK-4837
> URL: https://issues.apache.org/jira/browse/OAK-4837
> Project: Jackrabbit Oak
> Issue Type: Improvement
> Components: blob
> Reporter: Amit Jain
> Assignee: Amit Jain
> Labels: performance
> Attachments: FileReadBenchmark.png, FileWriteBenchmark.png
>
>
> The current CachingDataStore implementation used with S3DataStore has certain
> problems:
> * Lack of stats to show hit rate/miss rates for files being requested for
> downloads
> * Lack of stats for async uploads
> * CachingDataStore starts proactively downloading files in the background
> when a call to {{getRecord}} is made.
> * Async upload functionality leaks into Backend implementations, LocalCache
> classes.
> * The call to {{DataStore#getRecord()}} which makes multiple calls to
> backends which is problematic for S3 (i.e. when not being served bu cache)
> * There is some functionality which is not used with Oak like length cache,
> sync/async touch etc. which can be removed and code simplified.
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