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https://issues.apache.org/jira/browse/CASSANDRA-15907?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17152248#comment-17152248
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Caleb Rackliffe edited comment on CASSANDRA-15907 at 7/7/20, 6:10 PM:
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[~jwest] I've hopefully addressed the points from [~adelapena]'s first round of
review, so I think this is officially ready for a second reviewer.
3.0: [patch|https://github.com/apache/cassandra/pull/659],
[CircleCI|https://app.circleci.com/pipelines/github/maedhroz/cassandra/22/workflows/d272c9e6-1db6-472f-93d9-f2715a25ef97]
If we're happy with the implementation, the next step will be to do some basic
stress testing.
Note: CASSANDRA-15881 is visible in the unit tests results.
was (Author: maedhroz):
[~jwest] I've hopefully addressed the points from [~adelapena]'s first round of
review, so I think this is officially ready for a second reviewer.
3.0: [patch|https://github.com/apache/cassandra/pull/659],
[CircleCI|https://app.circleci.com/pipelines/github/maedhroz/cassandra/22/workflows/d272c9e6-1db6-472f-93d9-f2715a25ef97]
If we're happy with the implementation, the next step will be to do some basic
stress testing.
> Operational Improvements & Hardening for Replica Filtering Protection
> ---------------------------------------------------------------------
>
> Key: CASSANDRA-15907
> URL: https://issues.apache.org/jira/browse/CASSANDRA-15907
> Project: Cassandra
> Issue Type: Improvement
> Components: Consistency/Coordination, Feature/2i Index
> Reporter: Caleb Rackliffe
> Assignee: Caleb Rackliffe
> Priority: Normal
> Labels: 2i, memory
> Fix For: 3.0.x, 3.11.x, 4.0-beta
>
> Time Spent: 1h 10m
> Remaining Estimate: 0h
>
> CASSANDRA-8272 uses additional space on the heap to ensure correctness for 2i
> and filtering queries at consistency levels above ONE/LOCAL_ONE. There are a
> few things we should follow up on, however, to make life a bit easier for
> operators and generally de-risk usage:
> (Note: Line numbers are based on {{trunk}} as of
> {{3cfe3c9f0dcf8ca8b25ad111800a21725bf152cb}}.)
> *Minor Optimizations*
> * {{ReplicaFilteringProtection:114}} - Given we size them up-front, we may be
> able to use simple arrays instead of lists for {{rowsToFetch}} and
> {{originalPartitions}}. Alternatively (or also), we may be able to null out
> references in these two collections more aggressively. (ex. Using
> {{ArrayList#set()}} instead of {{get()}} in {{queryProtectedPartitions()}},
> assuming we pass {{toFetch}} as an argument to {{querySourceOnKey()}}.)
> * {{ReplicaFilteringProtection:323}} - We may be able to use
> {{EncodingStats.merge()}} and remove the custom {{stats()}} method.
> * {{DataResolver:111 & 228}} - Cache an instance of
> {{UnaryOperator#identity()}} instead of creating one on the fly.
> * {{ReplicaFilteringProtection:217}} - We may be able to scatter/gather
> rather than serially querying every row that needs to be completed. This
> isn't a clear win perhaps, given it targets the latency of single queries and
> adds some complexity. (Certainly a decent candidate to kick even out of this
> issue.)
> *Documentation and Intelligibility*
> * There are a few places (CHANGES.txt, tracing output in
> {{ReplicaFilteringProtection}}, etc.) where we mention "replica-side
> filtering protection" (which makes it seem like the coordinator doesn't
> filter) rather than "replica filtering protection" (which sounds more like
> what we actually do, which is protect ourselves against incorrect replica
> filtering results). It's a minor fix, but would avoid confusion.
> * The method call chain in {{DataResolver}} might be a bit simpler if we put
> the {{repairedDataTracker}} in {{ResolveContext}}.
> *Testing*
> * I want to bite the bullet and get some basic tests for RFP (including any
> guardrails we might add here) onto the in-JVM dtest framework.
> *Guardrails*
> * As it stands, we don't have a way to enforce an upper bound on the memory
> usage of {{ReplicaFilteringProtection}} which caches row responses from the
> first round of requests. (Remember, these are later used to merged with the
> second round of results to complete the data for filtering.) Operators will
> likely need a way to protect themselves, i.e. simply fail queries if they hit
> a particular threshold rather than GC nodes into oblivion. (Having control
> over limits and page sizes doesn't quite get us there, because stale results
> _expand_ the number of incomplete results we must cache.) The fun question is
> how we do this, with the primary axes being scope (per-query, global, etc.)
> and granularity (per-partition, per-row, per-cell, actual heap usage, etc.).
> My starting disposition on the right trade-off between
> performance/complexity and accuracy is having something along the lines of
> cached rows per query. Prior art suggests this probably makes sense alongside
> things like {{tombstone_failure_threshold}} in {{cassandra.yaml}}.
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