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https://issues.apache.org/jira/browse/HBASE-24749?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17380474#comment-17380474
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Wellington Chevreuil commented on HBASE-24749:
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{quote}
I know Wellington has been making good progress on the table approach as well
{quote}
I believe the extra work on "rename-less" flushes, compactions, splits, merges,
etc can be easily ported to any other type of file tracker, not only the table
based one. HBASE-25395 already defined a HStoreFilePathAccessor interface,
which is being used by these functionalities that create new files to
effectively commit files and get them tracked. Additional trackers, then, would
just need to provide their implementation of HStoreFilePathAccessor interface,
and all we would need is to modify
StoreFileTrackingUtils.createStoreFilePathAccessor to dynamically load
HStoreFilePathAccessor implementations defined in the configuration (currently,
it's hardcoded to instantiate HTableStoreFilePathAccessor).
> Direct insert HFiles and Persist in-memory HFile tracking
> ---------------------------------------------------------
>
> Key: HBASE-24749
> URL: https://issues.apache.org/jira/browse/HBASE-24749
> Project: HBase
> Issue Type: Umbrella
> Components: Compaction, HFile
> Affects Versions: 3.0.0-alpha-1
> Reporter: Tak-Lon (Stephen) Wu
> Assignee: Tak-Lon (Stephen) Wu
> Priority: Major
> Labels: design, discussion, objectstore, storeFile, storeengine
> Attachments: 1B100m-25m25m-performance.pdf, Apache HBase - Direct
> insert HFiles and Persist in-memory HFile tracking.pdf
>
>
> We propose a new feature (a new store engine) to remove the {{.tmp}}
> directory used in the commit stage for common HFile operations such as flush
> and compaction to improve the write throughput and latency on object stores.
> Specifically for S3 filesystems, this will also mitigate read-after-write
> inconsistencies caused by immediate HFiles validation after moving the
> HFile(s) to data directory.
> Please see attached for this proposal and the initial result captured with
> 25m (25m operations) and 1B (100m operations) YCSB workload A LOAD and RUN,
> and workload C RUN result.
> The goal of this JIRA is to discuss with the community if the proposed
> improvement on the object stores use case makes senses and if we miss
> anything should be included.
> Improvement Highlights
> 1. Lower write latency, especially the p99+
> 2. Higher write throughput on flush and compaction
> 3. Lower MTTR on region (re)open or assignment
> 4. Remove consistent check dependencies (e.g. DynamoDB) supported by file
> system implementation
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