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dragonfly-google_data_store | Google Cloud Storage for Dragonfly | GCP library

 by   wtag Ruby Version: Current License: MIT

 by   wtag Ruby Version: Current License: MIT

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kandi X-RAY | dragonfly-google_data_store Summary

dragonfly-google_data_store is a Ruby library typically used in Cloud, GCP applications. dragonfly-google_data_store has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Google Cloud Storage for Dragonfly
Support
Support
Quality
Quality
Security
Security
License
License
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Reuse

kandi-support Support

  • dragonfly-google_data_store has a low active ecosystem.
  • It has 6 star(s) with 6 fork(s). There are 3 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 1 open issues and 1 have been closed. On average issues are closed in 13 days. There are 1 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of dragonfly-google_data_store is current.
This Library - Support
Best in #GCP
Average in #GCP
This Library - Support
Best in #GCP
Average in #GCP

quality kandi Quality

  • dragonfly-google_data_store has 0 bugs and 0 code smells.
This Library - Quality
Best in #GCP
Average in #GCP
This Library - Quality
Best in #GCP
Average in #GCP

securitySecurity

  • dragonfly-google_data_store has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • dragonfly-google_data_store code analysis shows 0 unresolved vulnerabilities.
  • There are 0 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

  • dragonfly-google_data_store is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
This Library - License
Best in #GCP
Average in #GCP
This Library - License
Best in #GCP
Average in #GCP

buildReuse

  • dragonfly-google_data_store releases are not available. You will need to build from source code and install.
  • Installation instructions, examples and code snippets are available.
  • It has 63 lines of code, 9 functions and 2 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
This Library - Reuse
Best in #GCP
Average in #GCP
This Library - Reuse
Best in #GCP
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dragonfly-google_data_store Key Features

Google Cloud Storage for Dragonfly

Community Discussions

Trending Discussions on GCP
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Trending Discussions on GCP

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 dragonfly-google_data_store

Add this line to your application's Gemfile:.

Support

Bug reports and pull requests are welcome on GitHub at https://github.com/[USERNAME]/dragonfly-google_data_store. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.

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