Failed to execute 'postMessage' on 'DedicatedWorkerGlobalScope': function transformRequest(data, headers) { normalizeHeaderName(headers, 'Accept'); normalizeHeaderName(...<omitted>... } could not be cloned.
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
- Issue type
- Bug
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- javascript, webpack
Research direction
Start with the worker.js and app.js examples, then inspect the workerize-loader!./worker entry point and its message-passing path. Reproduce expensive() with the shown axios request and trace the returned value through postMessage; done means the worker call no longer produces the reported structured-clone error.
Written by the indexing model from the issue text.
Description
I query a large Firebase collection in my app.
I'd like to use axios in my app. But it is wrong
`
// worker.js
import axios from "axios";
import 'regenerator-runtime';
export async function expensive() {
const res = await axios.get('https://vdata.amap.com/tiles?mapType=normal&v=3&style=5&key=f97efc35164149d0c0f299e7a8adb3d2&version=1.4.17&rd=2&flds=roadlabel,poilabel&t=9,432,204;9,436,204;9,432,201;9,436,201;9,432,203;9,436,203;9,433,204;9,435,204;9,432,202;9,436,202&lv=9&key=f97efc35164149d0c0f299e7a8adb3d2&preload=0');
console.log(res)
return res;
}
`
When I run the worker as follows:
// app.js
import Worker from 'workerize-loader!./worker';
`
let instance = worker()
instance.expensive().then(data => {
console.log(`${data}`)
})
`
Failed to execute 'postMessage' on 'DedicatedWorkerGlobalScope': function transformRequest(data, headers) { normalizeHeaderName(headers, 'Accept'); normalizeHeaderName(...... } could not be cloned.
Is it a bug in workerize or is it me doing something wrong?
- Dominant language
- JavaScript
- Stars
- 2.3k
- Forks
- 85
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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