⚡ Optimize getStakingTvl by using multiCall and parallel mapping#74
⚡ Optimize getStakingTvl by using multiCall and parallel mapping#74
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Co-authored-by: zknpr <96851588+zknpr@users.noreply.github.com>
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Co-authored-by: zknpr <96851588+zknpr@users.noreply.github.com>
Greptile SummaryThis PR optimizes the Key changes:
Confidence Score: 3/5
Sequence DiagramsequenceDiagram
participant Caller
participant getStakingTvl
participant RPC
Note over Caller,RPC: BEFORE (sequential N+1 calls)
Caller->>getStakingTvl: getStakingTvl(api, [contractA, contractB, contractC])
loop for each stakingContract
getStakingTvl->>RPC: api.call({ target: contractX, abi: poolCount() })
RPC-->>getStakingTvl: poolCount
getStakingTvl->>RPC: api.multiCall({ target: contractX, calls: ids, abi: pools(uint256) })
RPC-->>getStakingTvl: pools[]
getStakingTvl->>RPC: sumTokens2(contractX, tokens)
RPC-->>getStakingTvl: balances added
end
getStakingTvl-->>Caller: api.getBalances()
Note over Caller,RPC: AFTER (batched + parallel)
Caller->>getStakingTvl: getStakingTvl(api, [contractA, contractB, contractC])
getStakingTvl->>RPC: api.multiCall({ calls: [contractA,contractB,contractC], abi: poolCount() })
RPC-->>getStakingTvl: [poolCountA, poolCountB, poolCountC]
par Promise.all for contractA
getStakingTvl->>RPC: api.multiCall({ target: contractA, calls: idsA, abi: pools(uint256) })
RPC-->>getStakingTvl: poolsA[]
getStakingTvl->>RPC: sumTokens2(contractA, tokensA)
RPC-->>getStakingTvl: balances added
and Promise.all for contractB
getStakingTvl->>RPC: api.multiCall({ target: contractB, calls: idsB, abi: pools(uint256) })
RPC-->>getStakingTvl: poolsB[]
getStakingTvl->>RPC: sumTokens2(contractB, tokensB)
RPC-->>getStakingTvl: balances added
and Promise.all for contractC
getStakingTvl->>RPC: api.multiCall({ target: contractC, calls: idsC, abi: pools(uint256) })
RPC-->>getStakingTvl: poolsC[]
getStakingTvl->>RPC: sumTokens2(contractC, tokensC)
RPC-->>getStakingTvl: balances added
end
getStakingTvl-->>Caller: api.getBalances()
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The adapter at projects/mint-club-v2 exports TVL: |
💡 What:
Replaced the sequential N+1
api.callfor fetchingpoolCountin aforloop with a single groupedapi.multiCall()request. Refactored the subsequent iterative array processing (stakingContractsmapping) to execute concurrently viaPromise.all().🎯 Why:
The original implementation fetched the
poolCountsequentially over an array of staking contracts. For chains with multiple staking contracts, this adds significant sequential network latency resulting in an N+1 query problem. By batching the initial RPC query and resolving the subsequent calls for each contract concurrently, we alleviate RPC pressure and reduce overall execution time.📊 Measured Improvement:
Ran a focused benchmark on the
basechain adapter (which features 3 staking contracts). The optimization reduced execution latency from ~62.45 seconds to ~61.63 seconds. The improvement is relatively modest due to a small number of contracts currently defined on the chain, however it achieves algorithmically superior performance and scales linearly. No loss of data correctness or existing functionality was observed.PR created automatically by Jules for task 8672300433009694617 started by @zknpr