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knife-sakura | Sakura Cloud Support for Chef 's Knife Command | GCP library

 by   cl-lab-k Ruby Version: Current License: Apache-2.0

 by   cl-lab-k Ruby Version: Current License: Apache-2.0

kandi X-RAY | knife-sakura Summary

knife-sakura is a Ruby library typically used in Cloud, GCP, Terraform applications. knife-sakura has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Sakura Cloud Support for Chef's Knife Command
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • knife-sakura has a low active ecosystem.
  • It has 6 star(s) with 2 fork(s). There are no watchers for this library.
  • It had no major release in the last 6 months.
  • knife-sakura has no issues reported. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of knife-sakura is current.
knife-sakura Support
Best in #GCP
Average in #GCP
knife-sakura Support
Best in #GCP
Average in #GCP

quality kandi Quality

  • knife-sakura has no bugs reported.
knife-sakura Quality
Best in #GCP
Average in #GCP
knife-sakura Quality
Best in #GCP
Average in #GCP

securitySecurity

  • knife-sakura has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
knife-sakura Security
Best in #GCP
Average in #GCP
knife-sakura Security
Best in #GCP
Average in #GCP

license License

  • knife-sakura is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
knife-sakura License
Best in #GCP
Average in #GCP
knife-sakura License
Best in #GCP
Average in #GCP

buildReuse

  • knife-sakura releases are not available. You will need to build from source code and install.
  • Installation instructions, examples and code snippets are available.
knife-sakura Reuse
Best in #GCP
Average in #GCP
knife-sakura Reuse
Best in #GCP
Average in #GCP
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knife-sakura Key Features

Sakura Cloud Support for Chef's Knife Command

knife-sakura Examples and Code Snippets

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 knife-sakura

If you’re using bundler, simply add Chef and Knife Sakura to your Gemfile:. If you are not using bundler, you can install the gem manually. Be sure you are running Chef 0.10.10 or higher, as earlier versions do not support plugins.

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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  • https://github.com/cl-lab-k/knife-sakura.git

  • gh repo clone cl-lab-k/knife-sakura

  • git@github.com:cl-lab-k/knife-sakura.git

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