gcloud | Google Cloud tutorial and setup | GCP library

 by   cs231n Python Version: Current License: No License

kandi X-RAY | gcloud Summary

kandi X-RAY | gcloud Summary

gcloud is a Python library typically used in Cloud, GCP, Docker applications. gcloud has no bugs, it has no vulnerabilities and it has high support. However gcloud build file is not available. You can download it from GitHub.

For your class project, we recommend setting up a GPU instance on GCP (Google Cloud Platform).
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            kandi-support Support

              gcloud has a highly active ecosystem.
              It has 377 star(s) with 151 fork(s). There are 21 watchers for this library.
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              It had no major release in the last 6 months.
              There are 1 open issues and 1 have been closed. On average issues are closed in 729 days. There are no pull requests.
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              It has a negative sentiment in the developer community.
              The latest version of gcloud is current.

            kandi-Quality Quality

              gcloud has 0 bugs and 0 code smells.

            kandi-Security Security

              gcloud has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              gcloud code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              gcloud does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              gcloud releases are not available. You will need to build from source code and install.
              gcloud has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.

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            gcloud Key Features

            No Key Features are available at this moment for gcloud.

            gcloud Examples and Code Snippets

            No Code Snippets are available at this moment for gcloud.

            Community Discussions

            QUESTION

            Dataproc Serverless - how to set javax.net.ssl.trustStore property to fix java.security.cert.CertPathValidatorException
            Asked 2022-Mar-25 at 05:05

            Trying to use google-cloud-dataproc-serveless with spark.jars.repositories option

            ...

            ANSWER

            Answered 2022-Mar-25 at 05:05

            You need to have a Java trust store with your cert imported. Then submit the batch with

            Source https://stackoverflow.com/questions/71405542

            QUESTION

            Github Actions Failing
            Asked 2022-Feb-25 at 02:08

            Github Actions were working in my repository till yesterday. I didnt make any changes in .github/workflows/dev.yml file or in DockerFile.

            But, suddenly in recent pushes, my Github Actions fail with the error

            Setup, Build, Publish, and Deploy

            ...

            ANSWER

            Answered 2021-Jul-27 at 13:24

            I fixed it by changing uses value to

            • uses: google-github-actions/setup-gcloud@master

            Source https://stackoverflow.com/questions/68516559

            QUESTION

            How to manage Google Cloud credentials for local development
            Asked 2022-Feb-14 at 23:35

            I searched a lot how to authenticate/authorize Google's client libraries and it seems no one agrees how to do it.

            Some people states that I should create a service account, create a key out from it and give that key to each developer that wants to act as this service account. I hate this solution because it leaks the identity of the service account to multiple person.

            Others mentioned that you simply log in with the Cloud SDK and ADC (Application Default Credentials) by doing:

            ...

            ANSWER

            Answered 2021-Oct-02 at 14:00

            You can use a new gcloud feature and impersonate your local credential like that:

            Source https://stackoverflow.com/questions/69412702

            QUESTION

            Google artifact regitsry NPM + github action
            Asked 2022-Feb-11 at 13:26

            I'm trying to publish a npm package on GAR (Google Artifact Registry) through github using google-github-actions/auth@v0 and google-artifactregistry-auth

            For the authentication to google from github here is what I did to use the Federation Workload Identity:

            ...

            ANSWER

            Answered 2022-Feb-11 at 12:44

            I finally find out !!! BUT I'm not sure in term of security if there is any risk or not so if anyone can advice I'll edit the answer !

            What is changing but I'm not sure in term of security is here :

            Source https://stackoverflow.com/questions/71076548

            QUESTION

            App Engine Python 2.7 - ImportError: cannot import name apiproxy
            Asked 2022-Feb-08 at 08:52

            With the upgrade to Google Cloud SDK 360.0.0-0 i started seeing the following error when running the dev_appserver.py command for my Python 2.7 App Engine project.

            ...

            ANSWER

            Answered 2022-Feb-08 at 08:52
            EDIT

            This issue seems to have been resolved with Google Cloud SDK version 371

            On my debian based system i fixed it by downgrading the app-engine-python component to the previous version

            Source https://stackoverflow.com/questions/69465376

            QUESTION

            (gcloud.dataproc.batches.submit.spark) unrecognized arguments: --subnetwork=
            Asked 2022-Feb-01 at 11:30

            I am trying to submit google dataproc batch job. As per documentation Batch Job, we can pass subnetwork as parameter. But when use, it give me

            ERROR: (gcloud.dataproc.batches.submit.spark) unrecognized arguments: --subnetwork=

            Here is gcloud command I have used,

            ...

            ANSWER

            Answered 2022-Feb-01 at 11:28

            According to dataproc batches docs, the subnetwork URI needs to be specified using argument --subnet.

            Try:

            Source https://stackoverflow.com/questions/70939685

            QUESTION

            Specifying Node.js version for Google Cloud App Engine Flexible
            Asked 2022-Jan-28 at 23:33

            I'm trying to deploy a GCloud App Engine Flexible service. I have a yaml file, in which it has the Node.js runtime and the env specified.

            ...

            ANSWER

            Answered 2021-Oct-06 at 00:48

            So take a look at this doc, with particular attention to this line

            The engines.node property is optional, but if present, the value must be compatible with the Node.js version specified in your app.yaml file. For example:

            I believe the default version is 12 (i.e. runtime: nodejs) to correct this in your app.yaml file set runtime as follows runtime: nodejs14 or newer

            Also bear in mind that minor patches are updated automatically so you can only specify the major version i.e. 14.X.X. Additionally if your stated version is not available the build process will fail.

            Note: If you are using cloud build with cloudbuild.yaml and a flex environment you may get a build error, move cloudbuild.yaml into its own folder to prevent this error and use --config option to state the location of the yaml. See this doc for further guidance

            Source https://stackoverflow.com/questions/69360628

            QUESTION

            Dataproc Cluster creation is failing with PIP error "Could not build wheels"
            Asked 2022-Jan-24 at 13:04

            We use to spin cluster with below configurations. It used to run fine till last week but now failing with error ERROR: Failed cleaning build dir for libcst Failed to build libcst ERROR: Could not build wheels for libcst which use PEP 517 and cannot be installed directly

            ...

            ANSWER

            Answered 2022-Jan-19 at 21:50

            Seems you need to upgrade pip, see this question.

            But there can be multiple pips in a Dataproc cluster, you need to choose the right one.

            1. For init actions, at cluster creation time, /opt/conda/default is a symbolic link to either /opt/conda/miniconda3 or /opt/conda/anaconda, depending on which Conda env you choose, the default is Miniconda3, but in your case it is Anaconda. So you can run either /opt/conda/default/bin/pip install --upgrade pip or /opt/conda/anaconda/bin/pip install --upgrade pip.

            2. For custom images, at image creation time, you want to use the explicit full path, /opt/conda/anaconda/bin/pip install --upgrade pip for Anaconda, or /opt/conda/miniconda3/bin/pip install --upgrade pip for Miniconda3.

            So, you can simply use /opt/conda/anaconda/bin/pip install --upgrade pip for both init actions and custom images.

            Source https://stackoverflow.com/questions/70743642

            QUESTION

            PySpark runs in YARN client mode but fails in cluster mode for "User did not initialize spark context!"
            Asked 2022-Jan-19 at 21:28
            • standard dataproc image 2.0
            • Ubuntu 18.04 LTS
            • Hadoop 3.2
            • Spark 3.1

            I am testing to run a very simple script on dataproc pyspark cluster:

            testing_dep.py

            ...

            ANSWER

            Answered 2022-Jan-19 at 21:26

            The error is expected when running Spark in YARN cluster mode but the job doesn't create Spark context. See the source code of ApplicationMaster.scala.

            To avoid this error, you need to create a SparkContext or SparkSession, e.g.:

            Source https://stackoverflow.com/questions/70668449

            QUESTION

            Connecting to Cloud SQL from Cloud Run via cloud-sql-proxy with IAM login enabled
            Asked 2022-Jan-18 at 08:53

            I would like to connect to a Cloud SQL instance from Cloud Run, using a service account. The connection used to be created within the VPC and we would just provide a connection string with a user and a password to our PostgreSQL client. But now we want the authentication to be managed by Google Cloud IAM, with the service account associated with the Cloud Run service.

            On my machine, I can use the enable_iam_login argument to use my own service account. The command to run the Cloud SQL proxy would look like this:

            ...

            ANSWER

            Answered 2021-Nov-18 at 20:32

            Unfortunately, there isn't a way to configure Cloud Run's use of the Cloud SQL proxy to do this for you.

            If you are using Java, Python, or Go, there are language specific connectors you can use from Cloud Run. These all have the option to use IAM DB AuthN as part of them.

            Source https://stackoverflow.com/questions/70024078

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install gcloud

            (Last Update on April 7, 2021).
            To access gcloud commands in your local terminal, install Google Cloud SDK that is appropriate for your platform and follow their instructions. If gcloud command is not in your system path after installation, you can also reference it by its full path /<DIRECTORY-WHERE-GOOGLE-CLOUD-IS-INSTALLED>/bin/gcloud. See this page for more detailed instructions. To ssh into your VM, go to your VM instance details page by clicking on its name. Start the VM instance first. Once it has a green check mark on, click on the drop-down arrow and select View gcloud command instead to retrieve the terminal command. It should look like. You should now be able to run nvidia-smi and see the list of attached GPUs and their usage statistics. Run watch nvidia-smi to monitor your GPU usage in real time.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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