From 182b94aab20abb3eb942fa17d7fe708e42f4c0b6 Mon Sep 17 00:00:00 2001 From: Jennifer Johnson Date: Wed, 20 Jul 2022 20:08:26 -0400 Subject: [PATCH] docs/blueprints: design doc for changes needed to allow for scaling audit workers Change-Id: I3e214c900a02ba15c2fb47558f0bc75310db2a7c --- docs/blueprints/audit-scaling.md | 178 ++++++++++++++++++ .../images/audit-scaling-month-vetted.png | Bin 0 -> 542660 bytes 2 files changed, 178 insertions(+) create mode 100644 docs/blueprints/audit-scaling.md create mode 100644 docs/blueprints/images/audit-scaling-month-vetted.png diff --git a/docs/blueprints/audit-scaling.md b/docs/blueprints/audit-scaling.md new file mode 100644 index 000000000..0f277b70c --- /dev/null +++ b/docs/blueprints/audit-scaling.md @@ -0,0 +1,178 @@ +# Audit Scaling + +## Goal: +When a node joins the network, it goes through a vetting process. One aspect of the node vetting process is auditing +the nodes for pieces they should be storing. A node must successfully complete a certain number of audits to pass the +vetting process. As more nodes join the network, the vetting process for each node takes longer because the satellite is +limited by how many total audits it can perform. As we onboard new nodes, the vetting process +takes increasingly longer for individual nodes. We need to be able to scale auditing depending on how many new nodes +recently joined. At the moment, each satellite has a default of 2 concurrent audit workers. + +However, the more data is uploaded, new nodes are more likely to get data, therefore more audits. +A node is considered vetted when it receives a total of 100 audits. Unvetted/new nodes get 5% of data +from new uploads. This means, less than 5% of all audits are going to these new nodes. We don't want to increase +the percentage of uploads that go to new nodes, nor do we want to decrease the number of audits it takes +to vet a node because we don't want to risk lowering the overall quality of nodes on the network, effecting network durability. + +See this [dashboard](https://redash.datasci.storj.io/dashboard/vetting?p_FILTER=created_at&p_PERIOD=year) to compare vetting times. +Here is a screenshot in case you can't access the dashboard. It shows percentiles for how long nodes took to get vetted, grouped by the month they were vetted. +![vetted-times-grouped-by-month](./images/audit-scaling-month-vetted.png) + +In terms of how we're going to scale the number of audit workers (both ones for regular audits and reverify audits), +we plan to manually adjust them based on metrics. It currently takes on average between 2-3 months to get vetted. +We may want to lower this to 1 month. + +## Problem: +We can't safely scale the number of audit workers with the current implementation of the containment system. The core +issue is that there can only be one piece pending audit for a node at a time. +The function [IncrementPending](https://github.com/storj/storj/blob/270204f352af0a7e3cb16c19dc988aa6a90563e0/satellite/satellitedb/containment.go#L66) +will effectively dismiss any future pending audits for a node if they are not the same as the one already in question. +``` +if !bytes.Equal(existingAudit.ExpectedShareHash, pendingAudit.ExpectedShareHash) { + containment.db.log.Info("pending audit already exists", + zap.String("node id", pendingAudit.NodeID.String()), + zap.String("segment streamid", pendingAudit.StreamID.String()), + zap.Uint64("segment position", pendingAudit.Position.Encode()), + ) + return nil +} +``` + +A pending audit is an audit for a piece that needs to be re-verified because the connection expired before the online node responded to the request. +If a node has a pending audit, it is said to be contained. We will re-verify, or check for the piece again, a certain +number of times before disqualifying the node. If it passes the recertification before the max retry limit, then it is +removed from containment mode. + +When there are multiple audit workers, if more than one audits a node within the same timeframe, a node can cheat the system by creating a pending audit only for the piece it does +have while concealing the fact that it is missing other data. The likelihood of tricking the system increases with the +number of workers concurrently auditing a node. Currently, we have two audit workers, with a small chance of auditing the +same node within the same time period (the timeout window is set for 5 minutes). However, as we increase the number of +workers, the likelihood also increases. + +Here is an example. We will use two workers for simplicity. Let's say these two workers, A1 and A2, are auditing pieces +P1 and P2 on node N, respectively. A1 and A2 audit N within the same 5 minute window. N has a correct version of P2 but not P1, +so it closes the connection to A2 first (this would have to be a modified node program). +A2 then puts P2 into pending audits and contains N. Once the connection +to A1 is closed, A1 will attempt to place P1 in pending audits (in method IncrementPending) but since there is already a +pending audit for N, it doesn't track P1 in pending audits. P2 will be reverified the next round and N can return the +correct data and remove itself from containment mode. It can continue this process and indefinitely avoid disqualification, +as long as the multiple workers audit it concurrently. + + +Additionally, the node has a 'contained' flag that is set when it has pending audits, and unset when its audit score is +modified. We don't use this flag for anything other than a status on the node dashboard, but this is still an +inconsistency that will need to be addressed. + + +## Solution: +All audits should be allowed to add a piece to pending audits, and a successful audit removes only the corresponding entry. +The contained flag will remain set to true as long as there are pending audits for the node. + +A solution that we think will decouple the logic around regular audits and reverification audits is the following: +- Rather than reverify nodes with pending audits and skipping them in the regular audit (see satellite/audit/worker.go:work), + there will be a separate process that iterates over the data from the pending audits table and spins up workers to audit for those particular pieces. +- A regular audit can insert an entry into the pending audits table. +- A pending audit worker will select an entry to process from the pending audits table. + - The result can be any of the audit outcomes or reverify count will be incremented if it times out again. + - The next entry can be selected by oldest available (check last attempted time) + - If a pending audit was attempted and reverification count is increased, don't try it again for x amount of time. Add field for attempted_at timestamp + eg `WHERE attempted_at IS NULL OR attempted_at < now() - interval '6 hour'` in repairqueue.go:Select to find items to repair. +- Contained nodes will no longer be selected for new uploads + +### Implementation details: +**Part 1. Implement new pending audit system** +- Create a new db table called reverification_audits based on segment_pending_audits + - switch primary key from nodeid to combination of (node_id, stream_id, position) + - we don't need stripe_index since we want to download the whole piece (client.Download with offset 0) + - add last_attempt: timestamp (nullable) + - similar delete and read queries but using new primary key + - migration plan: keep segment_pending_audits and drop the latter once this project is completed +- create audit/reverifier.go methods + - implement reverify method based on the original from audit.go/verifier. + - We can target the specific piece in question, rather than checking all pieces in the segment. +- create audit/reverifier.go chore + - will use workers similar to those in audit/worker.go + - Example: +```go +type Reverifier struct { + log *zap.Logger + verifier *Verifier // includes access to containment db + reporter Reporter + Loop *sync2.Cycle + limiter *sync2.Limiter +} + +func NewReverifier(){} +func (reverifier *Reverifier) Run(ctx context.Context) (err error){} +func (reverifier *Reverifier) Close() error{} +func (reverifier *Reverifier) process(ctx context.Context, pendingaudit *PendingAudit)) error {} // this will do the job of the current verifier.go:reverify method +``` +- create method satellitedb/containment.go:Insert + - similar to existing increment pending but remove query for existing rows, just insert new pending audit directly into db. +- create method satellitedb/containment.go:Increment + - increment the reverify count on the pending audit. +- add new satellite/audit/containment interface methods + - Get could follow the same query pattern as the repair queue satellitedb/repairqueue.go:select +```go + type Containment interface { + Get //old + IncrementPending //old + Delete //old + Select(ctx context.Context) (*PendingAudit, error) //new version of Get + Insert(ctx context.Context, pendingAudit *PendingAudit) error //new + Increment(ctx context.Context, pendingAudit *PendingAudit) error //new version of IncrementPending + Remove(ctx context.Context, ) (bool, error) //new version of Delete +``` + +**Part 2. Updates to existing audit system (decouple logic around regular vs re-verification audits)** +- remove call to reverify and related logic + - in audit/worker.go:work() we attempt to reverify nodes for the segment that are in containment mode. + - Since we want verify and reverify to be in separate processes, we can remove all logic related to reverify here. +- update audit.go/verifier + - remove reference to containment from verifier struct + - delete existing reverify method +- remove satellitedb/containment.go methods that are no longer needed and switch any out that are still needed with the new versions +- satellite/core: audit setup, add Reverifier *audit.Reverifier + +**Part 3. Keep node containment status updated** +- Update nodes table + - add `field contained timestamp ( updatable, nullable )` (or bool) + - Keep this status synced: + - check for change in node contained status during reverifier chore + - eg which nodes have pending audits before the chore vs after, then update the nodes table + - Create a chore on the nodes table to verify the containment status + - every so often, check if the nodes that are marked contained still have pending audits, and unmark them if they don't + - this is to ensure we don't accidentally keep healthy nodes in a contained state +- satellitedb/overlaycache.go:selectAllStorageNodesUpload + - Add `AND NOT contained` to node selection query to filter out contained nodes from getting more data +- satellitedb/repuations.go + - populateUpdateNodeStats (line 508) remove logic around containment + - updateNodeStats struct (line 641): remove contained field +- satellite/overlay/service.go (if needed) + - NodeDossier: make sure to update the contained flag if the pending audits table contains any for the node. + +**QA** +- Create a test plan +- Test that the original cheater strategy is no longer viable + +**Deployment** +- Configure the number of audit workers for verifier and reverifier + +**Post-deployment** +- monitor vetting times for new nodes and scale audit workers accordingly + +### Future Work +Should we consider new nodes for audits at a different cadence from vetted nodes? This would require significant refactoring. +- This has been suggested by the community too. I don't think we can make it work without changing the entire architecture of the product, +but what we _could_ do is use a different cadence for new _segments_ instead of new nodes. +Old segments tend to be on old nodes (not always, but there is a correlation) so that would get us at least some of the same benefit. + +Auto scaling workers: Scaling of those should depend on the number of unvetted nodes and the average time in vetting. +However, scaling for normal audits, should depend on the number of vetted nodes and amount of data on them. + +For possible efficiency, a pending audit worker could query for one node ID and process all pending audits for that node at once. +This could cause artificial clustering that we might want to avoid, but is a tradeoff we could reconsider for performance. +Each worker would essentially have their own queue of pending audits to work from. +- If each item results in a successful response (not offline or timeout), continue. 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