google-cloud-platform

问题 Alpha release of Google assistant not working. It always showing the message: "For en: Your sample pronunciations are structured incorrectly. 回答1: This seems to indicate a problem with the "additional invocation phrases" setup in the directory information. 回答2: This happens when you rename your action once it is released. Go To Deploy > Directory Information > Additional invocation phrases and replace the invocation phrase with the updated action name. This has to match your action invocation

问题 This question already has answers here : Multiple commands on remote machine using shell script (3 answers) Why would SSH commands through Putty work differently to those via PHP's phpseclib? (1 answer) Paramiko: calling “cd” command with exec_command does nothing (3 answers) Closed 2 years ago . I have a running instance my-instance running on google-cloud. I run the following code on my local machine: gcloud compute ssh my-instance --command 'pwd' gcloud compute ssh my-instance --command

问题 This question already has answers here : Multiple commands on remote machine using shell script (3 answers) Why would SSH commands through Putty work differently to those via PHP's phpseclib? (1 answer) Paramiko: calling “cd” command with exec_command does nothing (3 answers) Closed 2 years ago . I have a running instance my-instance running on google-cloud. I run the following code on my local machine: gcloud compute ssh my-instance --command 'pwd' gcloud compute ssh my-instance --command

问题 How can we visualize (via Dashboards) the Dataproc job status in Google Cloud Platform? We want to check if jobs are running or not, in addition of their status like running, delay, blocked. On top of it we want to set alerting (Stackdriver Alerting) as well. 回答1: In this page, you have all the metrics available in Stackdriver https://cloud.google.com/monitoring/api/metrics_gcp#gcp-dataproc You could use cluster/job/submitted_count , cluster/job/failed_count and cluster/job/running_count to

问题 What is the best way to convert unixTimestamp to local time in the following scenario? I am using Pub/Sub Subscription to BigQuery Template. Dataflow fetches data in json format from PubSub, does the transformation, inserts into BigQuery Preferably, I want to use UDF for data transformation setup. (For simplicity,) Input data includes only unixTimestamp. Example: {"unixTimestamp": "1612325106000"} Bigquery table has 3 columns: unix_ts:INTEGER, iso_dt:DATETIME, local_dt:DATETIME where unix_ts

问题 What is the best way to convert unixTimestamp to local time in the following scenario? I am using Pub/Sub Subscription to BigQuery Template. Dataflow fetches data in json format from PubSub, does the transformation, inserts into BigQuery Preferably, I want to use UDF for data transformation setup. (For simplicity,) Input data includes only unixTimestamp. Example: {"unixTimestamp": "1612325106000"} Bigquery table has 3 columns: unix_ts:INTEGER, iso_dt:DATETIME, local_dt:DATETIME where unix_ts

问题 What is the best way to convert unixTimestamp to local time in the following scenario? I am using Pub/Sub Subscription to BigQuery Template. Dataflow fetches data in json format from PubSub, does the transformation, inserts into BigQuery Preferably, I want to use UDF for data transformation setup. (For simplicity,) Input data includes only unixTimestamp. Example: {"unixTimestamp": "1612325106000"} Bigquery table has 3 columns: unix_ts:INTEGER, iso_dt:DATETIME, local_dt:DATETIME where unix_ts

问题 Background I have a website deployed in multiple machines. I want to create a Google Custom Metric that specifies the throughput of it - how many calls were served. The idea was to create a custom metric that collects information about served requests and 1 time per minute to update the information into a custom metric. So, for each machine, this code can happen a maximum of 1-time per minute. But this process is happening on each machine on my cluster. Running the code locally is working

问题 Since the templates can store values themselves (in addition to receiving values from the configuration yaml file), is a schema required when we create a template? If not, is the use of the schema just to enforce which values are required, and the type of values that need to be provided to the template? EDIT I'm referring to template schemas, not resource properties schema: https://cloud.google.com/deployment-manager/docs/configuration/templates/using-schemas 回答1: Google Deployment Manager

问题 I am trying to use Terraform Helm provider (https://www.terraform.io/docs/providers/helm/index.html) to deploy a workload to GKE cluster. I am more or less following Google's example - https://github.com/GoogleCloudPlatform/terraform-google-examples/blob/master/example-gke-k8s-helm/helm.tf, but I do want to use RBAC by creating the service account manually. My helm.tf looks like this: variable "helm_version" { default = "v2.13.1" } data "google_client_config" "current" {} provider "helm" {