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Posted to commits@cassandra.apache.org by "T Jake Luciani (JIRA)" <ji...@apache.org> on 2014/08/18 04:52:18 UTC
[jira] [Commented] (CASSANDRA-7519) Further stress improvements to
generate more realistic workloads
[ https://issues.apache.org/jira/browse/CASSANDRA-7519?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14100233#comment-14100233 ]
T Jake Luciani commented on CASSANDRA-7519:
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I'm not very keen on the new labels you've chosen for the insert section of the yaml file, They should be more verbose.
Batch size - "number of unique partitions to update in a single operation"
This should mention partitions in it no? partitions_per_batch maybe?
Batch count - "number of batches we aim to split the update up into"
Does this mean the number of batches to split a operation of N partitions into? If so, then perhaps batch_split_count?
I plan to run some test workloads to double check the logic, but first cut of the code looked good. I left a couple comments on the github branch
> Further stress improvements to generate more realistic workloads
> ----------------------------------------------------------------
>
> Key: CASSANDRA-7519
> URL: https://issues.apache.org/jira/browse/CASSANDRA-7519
> Project: Cassandra
> Issue Type: Improvement
> Components: Tools
> Reporter: Benedict
> Assignee: Benedict
> Priority: Minor
> Labels: tools
> Fix For: 2.1.1
>
>
> We generally believe that the most common workload is for reads to exponentially prefer most recently written data. However as stress currently behaves we have two id generation modes: sequential and random (although random can be distributed). I propose introducing a new mode which is somewhat like sequential, except we essentially 'look back' from the current id by some amount defined by a distribution. I may possibly make the position only increment as it's first written to also, so that this mode can be run from a clean slate with a mixed workload. This should allow is to generate workloads that are more representative.
> At the same time, I will introduce a timestamp value generator for primary key columns that is strictly ascending, i.e. has some random component but is based off of the actual system time (or some shared monotonically increasing state) so that we can again generate a more realistic workload. This may be challenging to tie in with the new procedurally generated partitions, but I'm sure it can be done without too much difficulty.
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