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likexian avatar likexian commented on September 23, 2024

Hello
please try the v1.14.1, if there is still some trouble, please open a new issue.

from terraform-provider-tencentcloud.

lubars avatar lubars commented on September 23, 2024

Now using:

Terraform v0.12.6

  • provider.null v2.1.2
  • provider.tencentcloud v1.14.1

Allocation seems much improved, however I am unable to deallocate after 30+ attempts:

Error: [TencentCloudSDKError] Code=RequestLimitExceeded, Message=您当前每秒请求 21 次,超过了每秒频率上限 20,请稍后重试。, RequestId=fcce6963-be7e-4bea-ad40-93e9e2c6af0f

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likexian avatar likexian commented on September 23, 2024

Hello @lubars
Thank you for your feedback, this failed due to api request rate limited, we will fix it.
By the way, how many disks did you Allocation/Deallocate once?

from terraform-provider-tencentcloud.

lubars avatar lubars commented on September 23, 2024

In this case, each "terraform apply" creates 4 x tencentcloud_instance, and each tencentcloud_instance has 1 x system disk + 4 x tencentcloud_cbs_storage; I ran two of these "terraform apply" jobs in parallel (both jobs sharing a tencentcloud_vpc but otherwise distinct).

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likexian avatar likexian commented on September 23, 2024

Got it, Thank you.

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lubars avatar lubars commented on September 23, 2024

@likexian Please let me know when fixed (just tried with provider.tencentcloud v1.15.0 and behavior is unchanged), thanks.

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likexian avatar likexian commented on September 23, 2024

@lubars No problem

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likexian avatar likexian commented on September 23, 2024

Hello @lubars
We have fixed it, would you please upgrade to v1.15.1 and have a try?
Thank you.

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lubars avatar lubars commented on September 23, 2024

Hi @likexian,

Version:

Terraform v0.12.6

  • provider.null v2.1.2
  • provider.tencentcloud v1.15.1

I encountered multiple internal errors during the "terraform apply" phase:

Error: tencentcloud_instance got error, code:TradeUnknownError, message:An internal error has occurred. Retry your request, but if the problem persists, contact us with details by posting a message on the Tencent cloud forums., request id:9ba01af9-dc14-4a3d-b671-6f06df2516ba

However, I am no longer seeing any errors during the "destroy" phase.

-Steve

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likexian avatar likexian commented on September 23, 2024

Hello @lubars
Sorry again for the trouble, I will fix this internal error in next release.

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likexian avatar likexian commented on September 23, 2024

Hello @lubars
The issue of internal errors has been fixed, I think it will works well now.
Please have a try, if there is still something wrong, please reply to this thread.
Thank you very much.

from terraform-provider-tencentcloud.

lubars avatar lubars commented on September 23, 2024

Hi @likexian,

Updated to latest version:

# terraform version
Terraform v0.12.6
+ provider.null v2.1.2
+ provider.tencentcloud v1.15.2

Still seeing internal errors during "apply" phase:

Error: tencentcloud_instance got error, code:TradeUnknownError, message:An internal error has occurred. Retry your request, but if the problem persists, contact us with details by posting a message on the Tencent cloud forums., request id:cf5f0019-a5b8-4609-a7d1-0275b726e738

Regards, @lubars

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likexian avatar likexian commented on September 23, 2024

Hello @lubars
Sorry, we miss a bug and must be fixed in next version.

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lubars avatar lubars commented on September 23, 2024

Hi @likexian, do you suggest I try v1.16.0?

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likexian avatar likexian commented on September 23, 2024

Hello @lubars
Yes, please try it.

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lubars avatar lubars commented on September 23, 2024

@likexian, behavior during apply/destroy appears much improved: I did not encounter any errors in two runs of the test case I've been using (create two clusters in parallel, four compute instances per cluster, five disks per compute instance).

from terraform-provider-tencentcloud.

likexian avatar likexian commented on September 23, 2024

Hello @lubars , thank you very much for your feedback and patience with us.
I am happy that there is no error again, however if there is any problems in the future, please open a issue.

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