⚡ Optimize iota.js getObjects with parallel execution#32
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Replaced sequential chunk fetching with parallel `Promise.all` in `projects/helper/chain/iota.js`. This improves performance for large object lists significantly (5x speedup observed in benchmark). Preserves the existing chunk size of 9. Co-authored-by: zknpr <96851588+zknpr@users.noreply.github.com>
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In `@projects/helper/chain/iota.js`:
- Around line 22-23: The current parallelization in the call that does
`Promise.all(chunks.map(chunk => getObjects(chunk)))` can spawn too many
simultaneous HTTP requests; replace it with a concurrency-limited approach
(e.g., use `p-limit` or process `chunks` in fixed-size batches) so only N
`getObjects` calls run at once, then concatenate results (still using `.flat()`
or equivalent) to preserve order; update the call site where `chunks` and
`getObjects` are used to apply the limiter/batching.
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| const results = await Promise.all(chunks.map(chunk => getObjects(chunk))) | ||
| return results.flat() |
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🧹 Nitpick | 🔵 Trivial
Good optimization; consider adding a concurrency limit for robustness.
The parallel execution with Promise.all correctly preserves order and significantly improves performance for typical workloads. However, for very large objectIds arrays (e.g., 1000+ items), this creates ~100+ simultaneous HTTP requests, which could trigger rate limiting from the IOTA RPC endpoint or exhaust connection resources.
Consider using a concurrency-limited approach such as p-limit or processing chunks in batches:
♻️ Suggested improvement with concurrency control
+const CONCURRENCY_LIMIT = 5
+
async function getObjects(objectIds) {
if (objectIds.length > 9) {
const chunks = sliceIntoChunks(objectIds, 9)
- const results = await Promise.all(chunks.map(chunk => getObjects(chunk)))
- return results.flat()
+ const results = []
+ for (let i = 0; i < chunks.length; i += CONCURRENCY_LIMIT) {
+ const batch = chunks.slice(i, i + CONCURRENCY_LIMIT)
+ const batchResults = await Promise.all(batch.map(chunk => getObjects(chunk)))
+ results.push(...batchResults.flat())
+ }
+ return results
}Alternatively, if this function is only ever called with reasonably-sized arrays in practice, the current implementation is acceptable.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| const results = await Promise.all(chunks.map(chunk => getObjects(chunk))) | |
| return results.flat() | |
| const CONCURRENCY_LIMIT = 5 | |
| async function getObjects(objectIds) { | |
| if (objectIds.length > 9) { | |
| const chunks = sliceIntoChunks(objectIds, 9) | |
| const results = [] | |
| for (let i = 0; i < chunks.length; i += CONCURRENCY_LIMIT) { | |
| const batch = chunks.slice(i, i + CONCURRENCY_LIMIT) | |
| const batchResults = await Promise.all(batch.map(chunk => getObjects(chunk))) | |
| results.push(...batchResults.flat()) | |
| } | |
| return results | |
| } |
🤖 Prompt for AI Agents
In `@projects/helper/chain/iota.js` around lines 22 - 23, The current
parallelization in the call that does `Promise.all(chunks.map(chunk =>
getObjects(chunk)))` can spawn too many simultaneous HTTP requests; replace it
with a concurrency-limited approach (e.g., use `p-limit` or process `chunks` in
fixed-size batches) so only N `getObjects` calls run at once, then concatenate
results (still using `.flat()` or equivalent) to preserve order; update the call
site where `chunks` and `getObjects` are used to apply the limiter/batching.
1 participant
forloop ingetObjectswithPromise.all..flat()to flatten the array of results.PR created automatically by Jules for task 2960940611474365475 started by @zknpr
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