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Add new TLA+ module to verify FOR SHARE NOWAIT
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…afety as `FOR UPDATE`
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I made some changes while reviewing and proposing them here: #385
General takeaway:
I think FOR SHARE NOWAIT should be OK to provide consistency (or lock errors
, and nothing inbetween) given the current implementation of cursor.go - we should carefully look at the retry mechanisms there, since the proof doesn't consider any sort of batching in contrast to what ghostferry does.
| /\ WF_vars(CompleteCopy) | ||
| /\ WF_vars(ModifyRow) | ||
| /\ WF_vars(PickNewRow) | ||
| \* No fairness for WaitForRow or Stutter |
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What WF_vars does from https://ilyasergey.net/CS6213/week-06-tla.html
Weak fairness of action A asserts of a behavior: If A ever remains continuously enabled, then an A step must eventually occur. It’s written as WF_vars(A) in TLA+. The vars subscript ensures that this step is not stuttering, i.e., it will change some of the variables.
| CONSTANTS | ||
| Records = {r1, r2} | ||
| TableCapacity = 2 | ||
| LockMode = "FOR_UPDATE" |
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Change this to FOR_SHARE_NOWAIT to alternate between modes 👀
I was running this with tlc -config ghostferry_share_safety.cfg ghostferry_share_safety.tla
| /\ lockOwners' = [lockOwners EXCEPT ![currentRow] = @ \cup {TableIterator}] | ||
| /\ IF SourceTable[currentRow] # NoRecordHere | ||
| THEN TargetTable' = [TargetTable EXCEPT ![currentRow] = SourceTable[currentRow]] | ||
| ELSE UNCHANGED TargetTable | ||
| /\ lockOwners' = [lockOwners' EXCEPT ![currentRow] = @ \ {TableIterator}] |
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How can we both be acquiring and releasing currentRow in lockOwners' at one point in time? I'm not sure how this is supposed to work 🤔 This reads like a sequence, where we
- acquire the lock for TableIterator
- copy to TargetTable
- release the lock
but in TLA+ all of the expressions in a state definitions are commutative.
I also think this could be the leading cause of why the generated graph only had a depth of 1 (see output logs).
| /\ currentRow' = currentRow + 1 | ||
| /\ UNCHANGED << SourceTable, copyComplete, rowToModify, newValue >> | ||
|
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| \* TableIterator skips a row when it can't get a lock (FOR_SHARE_NOWAIT) |
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The comment sounds like it's confusing FOR_SHARE_NOWAIT with SKIP LOCKED? I think we shouldn't be advancing currentRow' in this state?
And translating to real ghostferry, in this case the current row will error in the select with NOWAIT and will be retried (the whole cursor batch). We might need to look closer at DBReadRetries in cursor.go and potentially adjust the sleep parameter to be non-zero. Default retries is 5 and it might be insufficient to avoid crashing if some rows in the batch are locked and we're in NOWAIT mode.

Solves https://github.com/Shopify/db-mobility/issues/776
Create new
TLA+model to prove thatFOR SHARE NOWAITprovides similar safety guarantee asFOR UPDATEat leastThe key insights from our verification are:
DataConsistencyholds in both cases, ensuring that copied data is accurate.FOR_SHARE_NOWAITguarantees progress: By skipping locked rows and coming back to them later, theTableIteratorcan always make progress.FOR_UPDATEcan lead to deadlocks: If the application holds locks indefinitely, theTableIteratorcan get stuck waiting.FOR_SHARE_NOWAITis safer for production: It prevents the copy process from getting stuck, which is crucial for long-running migrations.This verification confirms that using
FOR_SHARE_NOWAITis the safer option for Ghostferry, as it prevents deadlocks while maintaining data consistency.Here is the test result locally:
Understanding the Ghostferry Lock Safety Model
This TLA+ model verifies the safety guarantees of different locking strategies in Ghostferry. Let me explain how it works and what insights it provides.
Model Overview
The model simulates two concurrent processes:
We're comparing two locking strategies:
FOR_UPDATE- exclusive locks that block when unavailableFOR_SHARE_NOWAIT- shared locks that fail immediately when unavailableKey Components of the Model
State Variables
SourceTableandTargetTable- represent database tableslockOwners- tracks which process owns locks on which rowscurrentRow- the row TableIterator is currently processingcopyComplete- whether copying is finishedrowToModify- the row Application is trying to modifyActions
CopyRow- TableIterator copies a row when it can get a lockSkipLockedRow- TableIterator skips a locked row (FOR_SHARE_NOWAIT only)WaitForRow- TableIterator waits for a lock (FOR_UPDATE only)ModifyRow- Application modifies a rowPickNewRow- Application picks a new row when it can't get a lockProperties Verified
DataConsistency- copied data matches source dataLockSafety- no conflicting locks are held simultaneouslyCopyEventuallyCompletes- copying eventually finishes (FOR_SHARE_NOWAIT only)FinalConsistency- when copying is complete, target matches sourceHow the Model Verifies Safety
The model checker explores all possible interleavings of actions to verify:
Safety Properties - These must hold in all states:
TypeOK- variables have correct typesLockSafety- lock conflicts never occurDataConsistency- copied data is always consistentLiveness Properties - These must eventually become true:
CopyEventuallyCompletes- copying finishes (FOR_SHARE_NOWAIT only)ModificationProgress- application can make progressKey Insights from the Model
FOR_UPDATE can deadlock:
FOR_SHARE_NOWAIT prevents deadlocks:
Both strategies maintain consistency:
Practical Implications
The model verification confirms that:
FOR_SHARE_NOWAITis safer for production use because:FOR_UPDATEshould be used with caution because:This formal verification gives us confidence that Ghostferry's
FOR_SHARE_NOWAITstrategy provides better safety guarantees for production database migrations.