fix(p2p): use per-batch ops array in AztecDatastore.batch() - #22357
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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Made-with: Cursor
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BEGIN_COMMIT_OVERRIDE fix(stdlib): use bigint arithmetic in GasFees.mul() for non-integer scalars (#22383) fix(node-lib): reuse existing fileStore in snapshot sync instead of recreating (#22375) fix: gate req/resp data protocols for unauthenticated peers (#22406) fix(p2p): use per-batch ops array in AztecDatastore.batch() (#22357) chore(pipeline): spartan config (#21285) chore: add claude skill to send txs (#22439) feat(pipeline): minimize deadzone w cross slot attesting (#21435) fix(p2p): avoid 32-bit overflow in attestation pool block position key (#22412) fix(prover-client): increment retry count on timeout re-enqueue to prevent infinite loop (#22355) fix: remove redundant p2pClient.start() call (#22438) chore: add kubectl binary to spartan .gitignore (#22454) END_COMMIT_OVERRIDE
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## Summary - `AztecDatastore.batch()` stored batch operations in a shared class-level `#batchOps` array, meaning concurrent batches would corrupt each other's operations. Replaced with a local `ops` array per batch call, matching the reference `BaseDatastore` implementation from `datastore-core`. - Added a test that verifies concurrent batches don't interfere with each other. Fixes [A-761](https://linear.app/aztec-labs/issue/A-761/audit-92-aztecdatastorebatch-shares-batchops-across-concurrent-batches) Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
AztecDatastore.batch()stored batch operations in a shared class-level#batchOpsarray, meaning concurrent batches would corrupt each other's operations. Replaced with a localopsarray per batch call, matching the referenceBaseDatastoreimplementation fromdatastore-core.Fixes A-761