[ https://issues.apache.org/jira/browse/HDDS-1094?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated HDDS-1094: --------------------------------- Labels: pull-request-available (was: ) > 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 > Labels: pull-request-available > > 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 (v8.3.2#803003) --------------------------------------------------------------------- To unsubscribe, e-mail: hdfs-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: hdfs-issues-h...@hadoop.apache.org