![]() This hook will be called once from app.js while loading application. This throwing error 429 (Too Many Requests). But CORS creating problems.So I also use const BASE_URL = '' In most cases overparallelizing is harmful, and might yield worse performance than not parallelizing at all.I am creating a custom hook in React for fetching jobs from GitHub jobs API. Don't go crazy with large values like 100 or 1000. Then you'll have to experiment with the MaxDegreeOfParallelism setting, until you find the one that yields the optimal performance. My suggestion is to do the later: ConcurrentQueue listTest = new() Īfter doing these changes, hopefully your code will still work correctly, and it will be running a bit faster. You can either add a lock (listTest) before each listTest.Add, or replace it with a concurrent collection. The List is not thread safe, and so it will get corrupted if you call Add from multiple threads without synchronization. See Troubleshoot Azure Files by creating alerts. You can also create alerts that will notify you if a share is being throttled or is about to be throttled. To confirm whether your share or storage account is being throttled, you can access and use Azure metrics in the portal. Details on Chart Studio API rate limits and throttling. When a request is throttled, the API responds with status 429 and the time in seconds till the next request in this scope is allowed. Cause 1: Share or storage account is being throttled. Expected available in 43414.0 seconds.' And I canât make a plot Why is that jack November 19, 2015, 6:34pm 2. with this: ParallelOptions options = new() Īwait Parallel.ForEachAsync(rows, options, async (row, _) => If a rate limit for a scope is set to /![]()
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