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Weight provides a metric to estimate the time it takes to execute code.
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By assigning a weight to every transaction, Substrate uses this metric to bound the time it takes to execute and verify each batch of transactions organized into a block.
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In Substrate, every transaction has a weight. By default, the block production algorithm selects the set of transactions from the transaction pool that achieve block saturation without exceeding `MaximumBlockWeight`. The `AvailableBlockRatio` ensures only a fraction of `MaximumBlockWeight` is used for regular transactions, but system-critical operations (operational transactions) may use all remaining block weight.
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By converting the transaction's weight to fees, Substrate charges the transaction's caller with fees in proportion to the cost of execution.
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Table of Contents:
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** Limit and bound non-linear complexity
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** Weights should be conservative
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** Underestimating weight exposes DDOS
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** Steps To Generate Runtime-Specific Weights
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** References
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== Limit and bound non-linear complexity
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TODO
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== Weights should be conservative
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To limit the execution time for each block, runtime constraints on Weight implicitly enforce upper bounds on computation and storage changes per block.
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TODO: which runtime constraints and how are they enforced?
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TODO
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== Underestimating weight exposes DDOS
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By converting each transaction's weight to fees, Substrate charges every transaction's caller with fees in proportion to the cost of execution.
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TODO: organize
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* weights should be conservative
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* Limit and bound non-linear complexity
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* Underestimating weight exposes DDOS
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* Important that benchmarking hardware is not significantly more high performance than the hardware used by nodes participating in network consensus (i.e. validators, collators)
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* Using worse hardware (i.e. developer hardware) does take longer and, therefore, indirectly underestimates weights.
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== Steps to Generate Runtime-Specific Weights
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TODO: why are runtime-specific weights important
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