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WAL records that are no-ops cause timelines to remain active #5962
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These will help us answer questions such as: - when & at what do calculations get started after PS restart? - how often is the api to get current incrementally-computed logical size called, and does it return Exact vs Approximate? I'd also be interested in a histogram of how much wall clock time size calculations take, but, I don't know good bucket sizes, and, logging it would introduce yet another per-timeline log message during startup; don't think that's worth it just yet. Context - https://neondb.slack.com/archives/C033RQ5SPDH/p1701197668789769 - #5962 - #5963 - #5955 - neondatabase/cloud#7408
…ent (#5974) refs #5962 --------- Co-authored-by: Joonas Koivunen <[email protected]>
These will help us answer questions such as: - when & at what do calculations get started after PS restart? - how often is the api to get current incrementally-computed logical size called, and does it return Exact vs Approximate? I'd also be interested in a histogram of how much wall clock time size calculations take, but, I don't know good bucket sizes, and, logging it would introduce yet another per-timeline log message during startup; don't think that's worth it just yet. Context - https://neondb.slack.com/archives/C033RQ5SPDH/p1701197668789769 - #5962 - #5963 - #5955 - neondatabase/cloud#7408
I guess we need to create an empty delta layer to cover those records.. |
These will help us answer questions such as: - when & at what do calculations get started after PS restart? - how often is the api to get current incrementally-computed logical size called, and does it return Exact vs Approximate? I'd also be interested in a histogram of how much wall clock time size calculations take, but, I don't know good bucket sizes, and, logging it would introduce yet another per-timeline log message during startup; don't think that's worth it just yet. Context - https://neondb.slack.com/archives/C033RQ5SPDH/p1701197668789769 - #5962 - #5963 - #5955 - neondatabase/cloud#7408
If we already support filtering of WAL records on Safekeepers (for sharding), then why not to filter this no-ops WAL records and do not send them to PS at all? |
IDK about @hlinnaka 's idea with the empty delta layer as impacts compaction I kinda like Konstantin's idea of filtering out no-op records in SK. I'm reading between the lines that Konstantin's idea implies that SKs will keep track of last non-noop LSN and the criterion for "PS has caught up" is "is last noop LSN == remote_consistent_lsn". I think if we go with filtering in SKs, we should also have a corresponding change in PSes that makes noise or outright rejects no-op records, so, we'd be alerted if we introduce any regressions. PR #6002 is a step in that direction. |
…6000) Problem ------- Before this PR, there was no concurrency limit on initial logical size computations. While logical size computations are lazy in theory, in practice (production), they happen in a short timeframe after restart. This means that on a PS with 20k tenants, we'd have up to 20k concurrent initial logical size calculation requests. This is self-inflicted needless overload. This hasn't been a problem so far because the `.await` points on the logical size calculation path never return `Pending`, hence we have a natural concurrency limit of the number of executor threads. But, as soon as we return `Pending` somewhere in the logical size calculation path, other concurrent tasks get scheduled by tokio. If these other tasks are also logical size calculations, they eventually pound on the same bottleneck. For example, in #5479, we want to switch the VirtualFile descriptor cache to a `tokio::sync::RwLock`, which makes us return `Pending`, and without measures like this patch, after PS restart, VirtualFile descriptor cache thrashes heavily for 2 hours until all the logical size calculations have been computed and the degree of concurrency / concurrent VirtualFile operations is down to regular levels. See the *Experiment* section below for details. <!-- Experiments (see below) show that plain #5479 causes heavy thrashing of the VirtualFile descriptor cache. The high degree of concurrency is too much for In the case of #5479 the VirtualFile descriptor cache size starts thrashing heavily. --> Background ---------- Before this PR, initial logical size calculation was spawned lazily on first call to `Timeline::get_current_logical_size()`. In practice (prod), the lazy calculation is triggered by `WalReceiverConnectionHandler` if the timeline is active according to storage broker, or by the first iteration of consumption metrics worker after restart (`MetricsCollection`). The spawns by walreceiver are high-priority because logical size is needed by Safekeepers (via walreceiver `PageserverFeedback`) to enforce the project logical size limit. The spawns by metrics collection are not on the user-critical path and hence low-priority. [^consumption_metrics_slo] [^consumption_metrics_slo]: We can't delay metrics collection indefintely because there are TBD internal SLOs tied to metrics collection happening in a timeline manner (neondatabase/cloud#7408). But let's ignore that in this issue. The ratio of walreceiver-initiated spawns vs consumption-metrics-initiated spawns can be reconstructed from logs (`spawning logical size computation from context of task kind {:?}"`). PR #5995 and #6018 adds metrics for this. First investigation of the ratio lead to the discovery that walreceiver spawns 75% of init logical size computations. That's because of two bugs: - In Safekeepers: #5993 - In interaction between Pageservers and Safekeepers: #5962 The safekeeper bug is likely primarily responsible but we don't have the data yet. The metrics will hopefully provide some insights. When assessing production-readiness of this PR, please assume that neither of these bugs are fixed yet. Changes In This PR ------------------ With this PR, initial logical size calculation is reworked as follows: First, all initial logical size calculation task_mgr tasks are started early, as part of timeline activation, and run a retry loop with long back-off until success. This removes the lazy computation; it was needless complexity because in practice, we compute all logical sizes anyways, because consumption metrics collects it. Second, within the initial logical size calculation task, each attempt queues behind the background loop concurrency limiter semaphore. This fixes the performance issue that we pointed out in the "Problem" section earlier. Third, there is a twist to queuing behind the background loop concurrency limiter semaphore. Logical size is needed by Safekeepers (via walreceiver `PageserverFeedback`) to enforce the project logical size limit. However, we currently do open walreceiver connections even before we have an exact logical size. That's bad, and I'll build on top of this PR to fix that (#5963). But, for the purposes of this PR, we don't want to introduce a regression, i.e., we don't want to provide an exact value later than before this PR. The solution is to introduce a priority-boosting mechanism (`GetLogicalSizePriority`), allowing callers of `Timeline::get_current_logical_size` to specify how urgently they need an exact value. The effect of specifying high urgency is that the initial logical size calculation task for the timeline will skip the concurrency limiting semaphore. This should yield effectively the same behavior as we had before this PR with lazy spawning. Last, the priority-boosting mechanism obsoletes the `init_order`'s grace period for initial logical size calculations. It's a separate commit to reduce the churn during review. We can drop that commit if people think it's too much churn, and commit it later once we know this PR here worked as intended. Experiment With #5479 --------------------- I validated this PR combined with #5479 to assess whether we're making forward progress towards asyncification. The setup is an `i3en.3xlarge` instance with 20k tenants, each with one timeline that has 9 layers. All tenants are inactive, i.e., not known to SKs nor storage broker. This means all initial logical size calculations are spawned by consumption metrics `MetricsCollection` task kind. The consumption metrics worker starts requesting logical sizes at low priority immediately after restart. This is achieved by deleting the consumption metrics cache file on disk before starting PS.[^consumption_metrics_cache_file] [^consumption_metrics_cache_file] Consumption metrics worker persists its interval across restarts to achieve persistent reporting intervals across PS restarts; delete the state file on disk to get predictable (and I believe worst-case in terms of concurrency during PS restart) behavior. Before this patch, all of these timelines would all do their initial logical size calculation in parallel, leading to extreme thrashing in page cache and virtual file cache. With this patch, the virtual file cache thrashing is reduced significantly (from 80k `open`-system-calls/second to ~500 `open`-system-calls/second during loading). ### Critique The obvious critique with above experiment is that there's no skipping of the semaphore, i.e., the priority-boosting aspect of this PR is not exercised. If even just 1% of our 20k tenants in the setup were active in SK/storage_broker, then 200 logical size calculations would skip the limiting semaphore immediately after restart and run concurrently. Further critique: given the two bugs wrt timeline inactive vs active state that were mentioned in the Background section, we could have 75% of our 20k tenants being (falsely) active on restart. So... (next section) This Doesn't Make Us Ready For Async VirtualFile ------------------------------------------------ This PR is a step towards asynchronous `VirtualFile`, aka, #5479 or even #4744. But it doesn't yet enable us to ship #5479. The reason is that this PR doesn't limit the amount of high-priority logical size computations. If there are many high-priority logical size calculations requested, we'll fall over like we did if #5479 is applied without this PR. And currently, at very least due to the bugs mentioned in the Background section, we run thousands of high-priority logical size calculations on PS startup in prod. So, at a minimum, we need to fix these bugs. Then we can ship #5479 and #4744, and things will likely be fine under normal operation. But in high-traffic situations, overload problems will still be more likely to happen, e.g., VirtualFile cache descriptor thrashing. The solution candidates for that are orthogonal to this PR though: * global concurrency limiting * per-tenant rate limiting => #5899 * load shedding * scaling bottleneck resources (fd cache size (neondatabase/cloud#8351), page cache size(neondatabase/cloud#8351), spread load across more PSes, etc) Conclusion ---------- Even with the remarks from in the previous section, we should merge this PR because: 1. it's an improvement over the status quo (esp. if the aforementioned bugs wrt timeline active / inactive are fixed) 2. it prepares the way for #6010 3. it gets us close to shipping #5479 and #4744
Triage notes:
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#5993 has been rolled out and its impact been reviewed. I think we don't have a direct metric to measure the impact of this bug. Instead of using indirect metric like comparing pageserver initiated walreceiver connections with safekeeper active timelines during restart, let's have a direct metric. Relatively low effort proposal: push #6002 over the finish line (it's a good change anyway), then add a counter metric for Watch that counter during restart. In order to get number of affected timelines, have a counter that is only incremented once per timeline struct. |
It turns out we have the Dashboard pinned to this week's deploy in us-west-2 => Eyeballing it for us-west-2, there are no abnormal spikes during PS restart. My take-away from that is that this issue isn't wide-spread. With regard to this issue's relevance for #5479 , remember the main worry was that this bug would trigger a lot of initial logical size calculations. Looking at the increase of metric
Above dashboard includes a row that shows the numbers. There's less than 300 occurrences total per instance instance in us-west-2, and these 300 are spread over multiple minutes. Should be safe to ship #5479 without fixing this bug. |
Some notes from the April storage offsite:
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Changes that upload remote index proactively in some cases -- this was for sharding, might not covery every case where a timeline ingest goes idle neon/pageserver/src/tenant/timeline.rs Lines 1202 to 1226 in 221414d
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Currently advancing the disk consistent lsn is behind a condition for whether we're sharded, which can be safely removed (the condition was just to de-risk the change): |
Attaching this issue to as that Epic is when we'll be touching ingest code & will have to worry about "active" status of timelines anyways. |
@ars , @koivunej and I just discovered that there are cases where timelines remain active in safekeepers because of a never-closing gap between safekeeper
commit_lsn
and pageserverremote_consistent_lsn
.This became apparent when analyzing reasons for spawning of initial logical size calculation tasks in Pageservers during storage deployment, using this query: ca 75% of the initial logical size calculations are initiated by
WalReceiverConnectionHandler
, which doesn't make sense because we know that much less than 75% of tenants are truly active1.Other graphs we looked at during analysis (all looking at exact same time frame)
Repro
You can repro it locally quite easily:
We did some digging with trace-level logging:
PS log
We would have expected the trace-level logging from
neon/pageserver/src/tenant/storage_layer/inmemory_layer.rs
Line 260 in dc72567
but didn't.
Analysis / Interpretation Of The Logs
These WAL records are no-ops to Pageservers, i.e., we don't
put()
any key-value-pair into the Timeline in response to these records, i.e., we don't create an open layer, i.e.,check_checkpoint_distance()
doesn't have anything to flush.Fixing This
TBD
Related tasks
Understand The Scope Of The Issue
Better Observability In Safekeepers
Footnotes
initial logical size calculation is initiated either from walreceiver connection handler, or by consumption metrics. See also concurrency-limit initial logical size calculation #5955 . ↩
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