Assigned
Status Update
Comments
nr...@google.com <nr...@google.com>
nr...@google.com <nr...@google.com> #2
Hi , Could you please clarify the issue description or share any screen shot of the problem where you are facing issue ?
fe...@goreply.io <fe...@goreply.io> #3
Hi, its a feature request. Can you change it to feature request?
I am requesting a dataproc image version that supports spark 3.4
https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-release-2.2
I am requesting a dataproc image version that supports spark 3.4
nr...@google.com <nr...@google.com> #4
Hello,
Thank you for reaching out to us with your request.
We have duly noted your feedback and will thoroughly validate it. While we cannot provide an estimated time of implementation or guarantee the fulfillment of the feature request
, please be assured that your input is highly valued. Your feedback enables us to enhance our products and services.
Description
Issue Details:
The error message states ERR_TOO_MANY_ACCEPT_CH_RESTARTS.
Steps Taken:
We have verified that the issue is specific to the europe-west12 region, as users can access the web interface without any problems in other regions. We have checked the cluster's configuration and ensured that the necessary firewall rules and network settings are correctly configured.
Troubleshooting Steps Attempted: