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Aravindan Vijayan edited comment on HDDS-2241 at 10/3/19 10:00 PM: ------------------------------------------------------------------- [~aengineer] This was not based on data we have seen in read performance tests. This is just an observation based on looking through the code while working on HDDS-2188 along with [~msingh]. Even if this does not show up as a bottleneck at this point of time, IMHO the 2nd option looks like an obvious performance improvement that we should do. was (Author: avijayan): [~aengineer] This was not based on data we have seen in read performance tests. This is just an observation based on looking through the code while working on HDDS-2188 along with [~msingh]. > Optimize the refresh pipeline logic used by KeyManagerImpl to obtain the > pipelines for a key > -------------------------------------------------------------------------------------------- > > Key: HDDS-2241 > URL: https://issues.apache.org/jira/browse/HDDS-2241 > Project: Hadoop Distributed Data Store > Issue Type: Bug > Components: Ozone Manager > Reporter: Aravindan Vijayan > Assignee: Aravindan Vijayan > Priority: Major > > Currently, while looking up a key, the Ozone Manager gets the pipeline > information from SCM through an RPC for every block in the key. For large > files > 1GB, we may end up making a lot of RPC calls for this. This can be > optimized in a couple of ways > * We can implement a batch getContainerWithPipeline API in SCM using which we > can get the pipeline info locations for all the blocks for a file. To keep > the number of containers passed in to SCM in a single call, we can have a > fixed container batch size on the OM side. _Here, Number of calls = 1 (or k > depending on batch size)_ > * Instead, a simpler change would be to have a map (method local) of > ContainerID -> Pipeline that we get from SCM so that we don't need to make > repeated calls to SCM for the same containerID for a key. _Here, Number of > calls = Number of unique containerIDs_ -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: hdfs-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: hdfs-issues-h...@hadoop.apache.org