refactor: forester: batch ops #1453
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sergeytimoshin
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| TreeType::BatchedState => { | ||
| info!("Processing state batch"); | ||
| state::process_batch(&self.context).await | ||
| } |
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this needs to distinguish between an input(nullifier) queue batch being ready and an output queue batch being ready. The current implementation assumes that both are always ready at the same time which will fail in many cases.
| } | ||
| } | ||
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| async fn verify_batch_ready(&self) -> bool { |
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doesn't cover the output queue whichs batches are independent of input queue batches.
The input queue is part of the Merkle tree account since we usually need access to Merkle tree roots to prove inclusion (except if the account hash wasn't inserted into the tree yet then we need the output queue to proof inclusion by index in the value array).
The output queue is a separate account with separate batches. You can check whether an output queue batch is ready with the same logic used for trees the data structure is similar.
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The address Merkle tree doesn't have an output queue hence the current implementation conceptually works for address trees as is.
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Fixed, thanks!
sergeytimoshin
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| if self.verify_input_queue_batch_ready(&mut rpc).await { | ||
| BatchReadyState::ReadyForNullify | ||
| } else if self.verify_output_queue_batch_ready(&mut rpc).await { | ||
| BatchReadyState::ReadyForAppend | ||
| } else { |
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Two thoughts:
- what about switching this checking
verify_output_queue_batch_readywith priority since I expect more output state creation than input state creation? - There could be a case where the forester isn't fast enough and one queue is filled so fast that the forester neglects the other queue. Probably not the right time to focus on this right now but makes sense to keep this in mind.
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