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terraform-google-instance | Terraform module which creates a Google compute instance | GCP library

 by   newcontext-oss Ruby Version: v0.2.0 License: Non-SPDX

 by   newcontext-oss Ruby Version: v0.2.0 License: Non-SPDX

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kandi X-RAY | terraform-google-instance Summary

terraform-google-instance is a Ruby library typically used in Cloud, GCP, Terraform applications. terraform-google-instance has no bugs, it has no vulnerabilities and it has low support. However terraform-google-instance has a Non-SPDX License. You can download it from GitHub.
Terraform module which creates a Google compute instance within the default networking of an existing project
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Security
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kandi-support Support

  • terraform-google-instance has a low active ecosystem.
  • It has 5 star(s) with 5 fork(s). There are 10 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 0 open issues and 1 have been closed. On average issues are closed in 417 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of terraform-google-instance is v0.2.0
This Library - Support
Best in #GCP
Average in #GCP
This Library - Support
Best in #GCP
Average in #GCP

quality kandi Quality

  • terraform-google-instance has 0 bugs and 0 code smells.
This Library - Quality
Best in #GCP
Average in #GCP
This Library - Quality
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Average in #GCP

securitySecurity

  • terraform-google-instance has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • terraform-google-instance code analysis shows 0 unresolved vulnerabilities.
  • There are 2 security hotspots that need review.
This Library - Security
Best in #GCP
Average in #GCP
This Library - Security
Best in #GCP
Average in #GCP

license License

  • terraform-google-instance has a Non-SPDX License.
  • Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
This Library - License
Best in #GCP
Average in #GCP
This Library - License
Best in #GCP
Average in #GCP

buildReuse

  • terraform-google-instance releases are available to install and integrate.
  • Installation instructions, examples and code snippets are available.
  • It has 53 lines of code, 0 functions and 5 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
This Library - Reuse
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This Library - Reuse
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terraform-google-instance Key Features

Deploys a Google compute instance to the existing networking of an existing Google cloud project.

Community Discussions

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QUESTION

Submit command line arguments to a pyspark job on airflow

Asked 2022-Mar-29 at 10:37

I have a pyspark job available on GCP Dataproc to be triggered on airflow as shown below:

config = help.loadJSON("batch/config_file")

MY_PYSPARK_JOB = {
    "reference": {"project_id": "my_project_id"},
    "placement": {"cluster_name": "my_cluster_name"},
    "pyspark_job": {
        "main_python_file_uri": "gs://file/loc/my_spark_file.py"]
        "properties": config["spark_properties"]
        "args": <TO_BE_ADDED>
    },
}

I need to supply command line arguments to this pyspark job as show below [this is how I am running my pyspark job from command line]:

spark-submit gs://file/loc/my_spark_file.py --arg1 val1 --arg2 val2

I am providing the arguments to my pyspark job using "configparser". Therefore, arg1 is the key and val1 is the value from my spark-submit commant above.

How do I define the "args" param in the "MY_PYSPARK_JOB" defined above [equivalent to my command line arguments]?

ANSWER

Answered 2022-Mar-28 at 08:18

You have to pass a Sequence[str]. If you check DataprocSubmitJobOperator you will see that the params job implements a class google.cloud.dataproc_v1.types.Job.

class DataprocSubmitJobOperator(BaseOperator):
...
    :param job: Required. The job resource. If a dict is provided, it must be of the same form as the protobuf message.
    :class:`~google.cloud.dataproc_v1.types.Job` 

So, on the section about job type pySpark which is google.cloud.dataproc_v1.types.PySparkJob:

args Sequence[str] Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.

Source https://stackoverflow.com/questions/71616491

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

Vulnerabilities

No vulnerabilities reported

Install terraform-google-instance

Download a credentials JSON file from a user with proper permissions. https://console.cloud.google.com/iam-admin/iam. Save the file to the root of the repository directory called: credentials.json.
See the script bin/example-setup-ubuntu.sh for the complete setup. However, the steps are listed below.
https://github.com/kamatama41/tfenv
brew install terraform
https://www.terraform.io/downloads.html
https://github.com/rbenv/rbenv
brew install ruby # or other package managers
http://ruby-lang.org/
brew install jq # or other package managers
https://stedolan.github.io/jq/
https://cloud.google.com/sdk/gcloud/

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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