Timeout Waiting For The Download Of Chunk0(total Chunks 1) Retry 0 'LINK'

Thank you for you work. I have just tested it, and although the increasing sleep time works well, there is still some problem. After the 423 errors and waiting time rclone starts getting 404 not found errors (it seems to be looking for chunk files, but if the chunks have been assembled already, should it do that?), and then starts uploading the file again, despite the --retries=1 flag.

This same issue has hit our product starting the same day as MS Ignite. We have been using the 1.22.0 C++ SDK since it was released and without any changes to our code, and are now receiving the "USP error: timeout waiting for the first audio chunk" on some of our PCs, but not others. We are using the eastus region and the Subscription Key and Region authentication.

Timeout Waiting For The Download Of Chunk0(total Chunks 1) Retry 0

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azur text to speech (cognitive service) still output the error USP error: timeout waiting for the first audio chunk (using python)

What can be done ? comments here suggest 22h2 doesn't solve their problems, where is the tutorial to get the fix ?

Hi guys, I have same error. My solution has been working good a several days and yesterday I stumbled onto the same error 'USP error: timeout waiting for the first audio chunk'. If will be usefull I attach my logs below. Be glad any help.

250259-log.txt

The connect timeout applies to each connection attempt to an IP address.If multiple addresses exist for a domain name, the underlying urllib3 willtry each address sequentially until one successfully connects.This may lead to an effective total connection timeout multiple times longerthan the specified time, e.g. an unresponsive server having both IPv4 and IPv6addresses will have its perceived timeout doubled, so take that into accountwhen setting the connection timeout.

The Kubernetes API server supports the ability to break a single large collection requestinto many smaller chunks while preserving the consistency of the total request. Eachchunk can be returned sequentially which reduces both the total size of the request andallows user-oriented clients to display results incrementally to improve responsiveness.

It is important to design exits for your retry loop. Retrying too frequently or too many times is unnecessary and a waste of resources. It is a best practice to have your workflow retry the external-facing task a reasonable number of times, each time waiting just a bit longer. This best practice is based on the assumption that the problem is temporary and in one of the retries, the task will be successful.

The main effects of T0 are serializing the scanso only one port is scanned at a time, and waiting five minutesbetween sending each probe. T1 andT2 are similar but they only wait 15 seconds and 0.4seconds, respectively, between probes. T3 is Nmap'sdefault behavior, which includes parallelization.-T4does the equivalent of --max-rtt-timeout 1250ms --min-rtt-timeout 100ms --initial-rtt-timeout 500ms --max-retries 6 and sets the maximum TCP and SCTP scan delayto 10ms. T5does the equivalent of --max-rtt-timeout 300ms --min-rtt-timeout 50ms --initial-rtt-timeout 250ms --max-retries 2 --host-timeout 15m --script-timeout 10m as well assetting the maximum TCP and SCTP scan delay to 5ms.Maximum UDP scan delay is not set by T4 or T5, but it can be set with the --max-scan-delay option.

Deb, the feeling of arriving home to find a copy of your amazing book waiting for me at my door-step, sent anonymously (I have a hunch that a dear friend living 16,000km away has something to do with it) almost brought me to tears. To make a total experience out of it, I will only allow the first read with a plate of these delectable looking scones! Thank you :) (And thank you Noa, my secret carrier pigeon in Sydney).

(Optional) How to retry the RPC. A None value will disable retries. A google.api_core.retry.Retry value will enable retries, and the object will define retriable response codes and errors and configure backoff and timeout options. A google.cloud.storage.retry.ConditionalRetryPolicy value wraps a Retry object and activates it only if certain conditions are met. This class exists to provide safe defaults for RPC calls that are not technically safe to retry normally (due to potential data duplication or other side-effects) but become safe to retry if a condition such as if_generation_match is set. See the retry.py source code and docstrings in this package (google.cloud.storage.retry) for information on retry types and how to configure them. Media operations (downloads and uploads) do not support non-default predicates in a Retry object. The default will always be used. Other configuration changes for Retry objects such as delays and deadlines are respected.

(Optional) How to retry the RPC. A None value will disable retries. A google.api_core.retry.Retry value will enable retries, and the object will define retriable response codes and errors and configure backoff and timeout options. A google.cloud.storage.retry.ConditionalRetryPolicy value wraps a Retry object and activates it only if certain conditions are met. This class exists to provide safe defaults for RPC calls that are not technically safe to retry normally (due to potential data duplication or other side-effects) but become safe to retry if a condition such as if_metageneration_match is set. See the retry.py source code and docstrings in this package (google.cloud.storage.retry) for information on retry types and how to configure them. Media operations (downloads and uploads) do not support non-default predicates in a Retry object. The default will always be used. Other configuration changes for Retry objects such as delays and deadlines are respected. 2351a5e196