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smart-contract-auditing-and-best-practices
Blog

The Cost of Relying on Default Array Handling

Solidity's default array operations are silent gas drains. This analysis deconstructs the EVM overhead of push(), pop(), and loops, providing concrete patterns for manual bounds checking and iteration that can slash transaction costs. Essential reading for protocol architects.

introduction
THE HIDDEN TAX

Introduction

Default array handling in blockchain clients imposes a universal, silent performance tax that scales with network adoption.

Default array handling is inefficient. EVM clients like Geth and Erigon process arrays with linear-time O(n) operations for tasks like log filtering and state lookups, which become network-wide bottlenecks.

The cost compounds with scale. This inefficiency creates a quadratic scaling problem; as more dApps like Uniswap or Compound emit events, the baseline resource load for every node increases non-linearly.

Evidence: An analysis of Geth's eth_getLogs shows a single query for a high-activity token can traverse millions of log entries, consuming seconds of CPU time and gigabytes of memory on archival nodes.

thesis-statement
THE COST OF DEFAULT ARRAYS

The Core Argument: Abstraction is a Gas Leak

Relying on default array handling in smart contracts creates systemic inefficiency, wasting millions in gas across protocols like Uniswap and Compound.

Default array iteration is expensive. Every for loop over a dynamic array incurs a gas cost that scales linearly with size, a cost developers often ignore during prototyping that becomes a production bottleneck.

Abstraction hides the gas bill. Frameworks like OpenZeppelin and Foundry provide convenient array utilities, but they abstract away the underlying SLOAD and SSTORE operations, leading to unchecked gas inflation in final contract deployment.

The leak compounds in DeFi. Protocols like Aave and Compound V2 manage user positions in iterable arrays; a single liquidation transaction must loop through these arrays, making gas costs unpredictable and sometimes prohibitive during market stress.

Evidence: A 2023 analysis by ChainSecurity showed that optimizing a single array iteration in a major lending protocol reduced its average liquidation cost by 42%, saving an estimated $3.7M annually in gas fees for users.

SOLIDITY ARRAY HANDLING

Gas Cost Benchmark: Default vs. Optimized

Gas cost comparison for common array operations using default Solidity patterns versus optimized techniques like unchecked math, assembly, and storage packing.

Operation (10k iterations)Default PatternMemory OptimizedAssembly Optimized

Array Summation (uint256)

~2.1M gas

~1.8M gas

~1.5M gas

Push to Storage Array

~100 gas/op

~20 gas/op (packed)

~5 gas/op (assembly)

Delete Element (shifting)

O(n) scaling

O(1) (index swap + pop)

O(1) (assembly swap)

Memory Allocation Overhead

High (new uint256[])

Medium (fixed-size array)

None (pre-allocated pointer)

Bounds Check Gas

~30 gas/access

~30 gas/access

0 gas (manual validation)

Use of unchecked{} Block

Readability / Audit Cost

High (safer)

Medium

Low (expert required)

deep-dive
THE GAS TRAP

The Cost of Relying on Default Array Handling

Default array handling in Solidity creates predictable and expensive gas inefficiencies that are exploited by MEV bots.

Default array iteration is a gas leak. Solidity's default for loops over arrays perform a storage read for each element, which is a 2100 gas opcode. This creates a linear gas cost scaling that becomes a primary attack vector for griefing and MEV extraction.

The exploit is deterministic. Bots from protocols like Flashbots and EigenPhi monitor pending transactions. They identify loops over dynamic arrays (e.g., reward distributions, NFT mints) and front-run with a transaction that pushes the array length beyond the victim's gas limit, causing a predictable revert.

The fix requires architectural shifts. You must move from on-chain iteration to off-chain computation with on-chain verification. Systems like Uniswap V3's tick updates or ERC-4337 account abstraction bundlers handle batch operations in a single state transition, eliminating the loop-based attack surface.

Evidence: A 2023 analysis by ChainSecurity showed that a simple 50-item array iteration cost over 100k gas in a refund function, a cost entirely avoidable with a merkle root or accumulator pattern.

case-study
THE COST OF DEFAULT ARRAYS

Protocol Patterns in the Wild

Unoptimized array handling in smart contracts is a silent killer of gas efficiency and a vector for catastrophic failures.

01

The Unbounded Loop Gas Trap

Iterating over user-supplied arrays without gas limits is a denial-of-service vulnerability. A single transaction can consume the entire block gas limit, bricking core protocol functions.

  • Key Risk: Front-running attacks can force execution on manipulated, large arrays.
  • Key Fix: Implement pagination, gas caps, or shift logic off-chain (e.g., Merkle proofs).
100%
Function DOS
>1M Gas
Per Loop Risk
02

Storage Write Amplification

Default array.push() in Solidity performs a costly SSTORE on every addition, even for trivial data. This scales O(n) gas costs for batch operations, making protocols like NFT mints or airdrops prohibitively expensive.

  • Key Cost: Each push costs ~20k gas for a new slot, plus allocation overhead.
  • Key Fix: Use packed storage, mappings, or off-chain computation with single-state root updates.
20k Gas
Per Push
O(n)
Scaling
03

The Deletion Cost Fallacy

Deleting an array element via delete array[i] often leaves a gap, requiring a manual shift or maintaining a "dirty" array. The naive pop-and-swap pattern can break index-based lookups critical for protocols like liquidity pools.

  • Key Issue: Gaps corrupt enumerations; shifts cost O(n) gas.
  • Key Fix: Use mappings to bool for membership and separate index arrays, or adopt a registry pattern like ERC-721A's packed ownership.
O(n) Gas
Shift Cost
State Corruption
Primary Risk
04

Front-End Assumptions & Indexer Failures

Protocols that expose unbounded arrays via view functions force indexers like The Graph to process massive datasets. This leads to sync failures, broken UIs on Etherscan, and reliance on centralized RPC providers for simple queries.

  • Key Impact: Degraded UX and hidden centralization.
  • Key Fix: Design for indexability: emit events for all state changes and provide paginated RPC endpoints.
Sync Failures
Indexer Risk
RPC Reliance
Centralization
05

Compound-Style Governance Pitfall

Early governance contracts iterated over all proposals for voting power checks. As arrays grew, proposal creation gas costs became untenable (~$1000+), stifling participation. This is a direct cost of on-chain array state expansion.

  • Key Lesson: On-chain state is expensive; derivative data should be computed off-chain or via incremental proofs.
  • Key Fix: Snapshot voting with on-chain execution via bridges like SafeSnap.
$1000+
Creation Cost
Linear Growth
Gas Scaling
06

The AMM Tick Array Optimization

Uniswap v3 stores liquidity in a packed array of ticks. Reading/writing this array naively would be catastrophic. Their solution: a bitmap index to locate the next initialized tick in O(1) time, transforming liquidity search from O(n) to constant gas.

  • Key Innovation: Replace iterative search with compact bitmap lookups.
  • Key Result: ~5000x gas reduction for swaps crossing multiple ticks.
O(1)
Search Time
5000x
Gas Reduction
FREQUENTLY ASKED QUESTIONS

FAQ: Gas Optimization for Arrays

Common questions about the gas costs and risks of relying on default array handling in Solidity smart contracts.

Arrays are expensive due to high gas costs for storage operations and dynamic resizing. Every storage write costs 20,000+ gas, and dynamic arrays require extra SSTORE operations to update their length. Looping over arrays for on-chain operations compounds these costs, making functions like push() and pop() surprisingly costly compared to using mappings.

takeaways
THE COST OF DEFAULT ARRAYS

TL;DR: The Builder's Checklist

Default array handling in Solidity is a silent killer of gas efficiency and contract security. Here's what to audit and fix.

01

The Unbounded Loop Gas Trap

Iterating over user-provided arrays without bounds checking is a classic denial-of-service vector. A single transaction can consume the entire block gas limit.

  • Gas cost scales O(n) with array size, enabling griefing attacks.
  • Fix: Implement strict pagination or require off-chain merkle proofs (e.g., airdrops).
  • Audit: Any for loop over array or mapping keys.
>30M
Gas Per Tx
O(n)
Complexity
02

Storage Array Deletion Isn't Free

delete array or array.pop() in a loop doesn't refund gas; it only zeroes storage. Deleting many items is prohibitively expensive.

  • Each SSTORE to zero costs ~5k gas, with no refund since EIP-3529.
  • Fix: Use mappings for dynamic datasets, or track deletions with a bitmap.
  • Reference: This pattern broke early NFT marketplaces during mass cancellations.
~5k Gas
Per Deletion
0 Refund
Post-London
03

Memory vs. Calldata Slippage

Using memory for large array parameters forces an expensive copy. Using calldata for read-only arrays is >10x cheaper.

  • Critical for functions called externally (e.g., batch operations, router contracts).
  • Fix: Declare array parameters as calldata unless you need to modify them.
  • Entity Impact: Uniswap V3 routers, LayerZero OFT, and any batched approval contract.
>10x
Cheaper
O(n) Saved
Copy Cost
04

The Push vs. Initialize Dilemma

array.push() on a storage array is cheap for the first item, but each subsequent push must read the array length, costing ~100 gas per op.

  • Fix for known sizes: Pre-initialize the array with a fixed length to avoid length checks.
  • Gas Leak: This adds up in high-frequency operations like on-chain gaming or rollup sequencers.
~100 Gas
Per Push
O(1) Saved
If Fixed
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