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Instead of fetching up to 50k inventory snapshots (~442MB), scope the query to only the time range of the current submission batch with a 15-minute buffer. For a typical 1-hour batch this drops from 50k rows to ~300 rows, well within the 1280Mi pod memory limit. The coalesced_at_idx on intent_inventory_snapshots covers the BETWEEN clause so this remains efficient. Proof: history-writer OOM kills from refreshQuoteOutcomes inventory fetch Assumptions: 15min buffer covers the attribution window for all submissions Still fake: heuristic gap outcomes may attribute trades imprecisely
14 lines
574 B
JavaScript
14 lines
574 B
JavaScript
import { deriveQuoteOutcomeRecords } from './src/core/quote-outcomes.mjs';
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const submissions = Array.from({length: 2000}).map((_, i) => ({
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quote_id: 'q' + i,
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submitted_at: new Date().toISOString(),
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expected_inventory_delta: { asset1: 10n }
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}));
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const inventorySnapshots = Array.from({length: 5000}).map((_, i) => ({
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inventory_id: 'i' + i,
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observed_at: new Date(Date.now() + i * 1000).toISOString(),
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asset_balances: { asset1: BigInt(i * 10) }
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}));
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console.time('derive');
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deriveQuoteOutcomeRecords({ submissions, inventorySnapshots });
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console.timeEnd('derive');
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