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https://issues.apache.org/jira/browse/HDDS-1094?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Supratim Deka updated HDDS-1094:
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Summary: Performance test infrastructure : skip writing user data on
Datanode (was: Performance testing infrastructure : Special handling for
zero-filled chunks on the Datanode)
> Performance test infrastructure : skip writing user data on Datanode
> --------------------------------------------------------------------
>
> Key: HDDS-1094
> URL: https://issues.apache.org/jira/browse/HDDS-1094
> Project: Hadoop Distributed Data Store
> Issue Type: Improvement
> Components: Ozone Datanode
> Reporter: Supratim Deka
> Priority: Major
>
> Goal:
> Make Ozone chunk Read/Write operations CPU/network bound for specially
> constructed performance micro benchmarks.
> Remove disk bandwidth and latency constraints - running ozone data path
> against extreme low-latency & high throughput storage will expose performance
> bottlenecks in the flow. But low-latency storage(NVME flash drives, Storage
> class memory etc) is expensive and availability is limited. Is there a
> workaround which achieves similar running conditions for the software without
> actually having the low latency storage? At least for specially constructed
> datasets - for example zero-filled blocks (*not* zero-length blocks).
> Required characteristics of the solution:
> No changes in Ozone client, OM and SCM. Changes limited to Datanode, Minimal
> footprint in datanode code.
> Possible High level Approach:
> The ChunkManager and ChunkUtils can enable writeChunk for zero-filled chunks
> to be dropped without actually writing to the local filesystem. Similarly, if
> readChunk can construct a zero-filled buffer without reading from the local
> filesystem whenever it detects a zero-filled chunk. Specifics of how to
> detect and record a zero-filled chunk can be discussed on this jira. Also
> discuss how to control this behaviour and make it available only for internal
> testing.
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