chore: add uniform-distribution max-throughput workload - #41
Merged
Conversation
Write-only and read-only phases with uniform key distribution and no target rate, plus a hidden sequential load phase to populate the 1M keyspace first. Unlike the zipf YCSB workloads — where a few hot keys concentrate on a handful of shards — uniform keys spread load across every shard, so read throughput can scale with the cluster size. Signed-off-by: Matteo Merli <mmerli@apache.org>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Write-only and read-only phases with uniform key distribution and no target rate, plus a hidden sequential load phase to populate the 1M keyspace. Unlike the zipf YCSB workloads — where a few hot keys concentrate on a handful of shards and cap read scaling — uniform keys spread load across every shard, so read throughput can scale with cluster size (used for the 3/6/12-server read-scaling comparison).