[jira] [Created] (HDDS-1094) Performance testing infrastructure : Special handling for zero-filled chunks on the Datanode

["Supratim Deka (JIRA)" <ji...@apache.org>]

Supratim Deka created HDDS-1094:
-----------------------------------

             Summary: Performance testing infrastructure : Special handling for zero-filled chunks on the 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


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.




--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: hdfs-dev-unsubscribe@hadoop.apache.org
For additional commands, e-mail: hdfs-dev-help@hadoop.apache.org