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Posted to commits@cassandra.apache.org by "Jacek Lewandowski (Jira)" <ji...@apache.org> on 2023/08/01 07:40:00 UTC

[jira] [Commented] (CASSANDRA-18580) Baseline Metrics for Accord Transactions

    [ https://issues.apache.org/jira/browse/CASSANDRA-18580?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17749519#comment-17749519 ] 

Jacek Lewandowski commented on CASSANDRA-18580:
-----------------------------------------------

It is just an example of how I wanted to capture events in the ProgressLog. {{AccordService#coordinate()}} measures the overall transaction time at coordinator. With {{ProgressLog}}, the same transaction will be measured several times, and we will see how each replica deals with it separately. This way, we distinguish two categories of metrics - Accord coordinator metrics (current CQL metrics) and Accord replica metrics which I think should be registered under separate namespaces for clarity. 

In terms of what latency metrics we can gather that way - currently, we have 3 timestamps available:
- {{txnId}} - when the transaction was submitted
- {{executeAt}} - ultimate transaction timestamp 
- the current timestamp at commit, pre/post execution, durable...
and we can probably measure the time between any two of them

We could excessively create more than needed now and decide which should stay before the release. I assume there will be some performance work that will clarify which metrics make the most sense.

Regarding preemptions and recoveries - I was thinking about capturing those events in {{AccordAgent#onRecover}} implementation. Each invocation would mark the recoveries meter, and if the failure is {{Preempted}}, it would additionally mark the preemptions meter. That could be presented as a ratio gauge.

My understanding of the timestamps is - {{TxnId}} is created at the coordinator when the CQL statement arrives. The transaction is committed on each replica, so if we want to measure start-to-commit time, we must base it on timestamps captured on different nodes. As far as I understand, the {{Timestamp}} consists of 128 bits and node id, which is stored in a separate field. {{hlc}} part is a long initialized with {{AccordService.nowInMicros()}} and does not include any flags, epoch, or node identifier. 


> Baseline Metrics for Accord Transactions
> ----------------------------------------
>
>                 Key: CASSANDRA-18580
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-18580
>             Project: Cassandra
>          Issue Type: Improvement
>          Components: Accord, Observability/JMX, Observability/Metrics
>            Reporter: Caleb Rackliffe
>            Assignee: Jacek Lewandowski
>            Priority: Normal
>             Fix For: 5.x
>
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> Based on some conversations w/ [~benedict] and [~dcapwell], this is the initial set of metrics that seem both feasible to implement and useful as we monitor the health of a cluster performing Accord transactions:
> 1.) Basic latency metrics for transactions up to the point of COMMIT and rate metrics for preemption, failure, and timeouts at the coordinator.
> This has already been implemented and split into read and write-specific metrics. Our position for now is that metrics around preemption should be useful in place of a more difficult-to-define metric around how many transactions are completed via recovery.
> 2.) Global cache stats/metrics (i.e. aggregated for all command stores)
> We could, at some point, build metrics scoped to a specific {{CommandStore}}, but they might be awkward in MBean/JMX space, as command stores would have to be identified by ID or key range…the latter possibly being able to change across epochs. (An alternative would be just publishing command store-specific stats on-demand to a virtual table instead.)
> 3.) Something like a decaying histogram of the number of dependencies per transaction (or per partial transaction).
> If this is getting worse over time, it could be useful to know/be a way for us to detect that contention is increasing. We should be able to hook this up to {{ProgressLog}} notifications. Recording for PartialDeps/PartialTxn (which ProgressLog gives us at pre-accept) seems acceptable, given this is a directional metric.



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