kandi background
Explore Kits

awesome-kubernetes | A curated list for awesome kubernetes sources ship :tada | GCP library

 by   ramitsurana Shell Version: v5.0 License: Non-SPDX

 by   ramitsurana Shell Version: v5.0 License: Non-SPDX

Download this library from

kandi X-RAY | awesome-kubernetes Summary

awesome-kubernetes is a Shell library typically used in Cloud, GCP, Docker, Cloud-foundry applications. awesome-kubernetes has no bugs, it has no vulnerabilities and it has medium support. However awesome-kubernetes has a Non-SPDX License. You can download it from GitHub.
A curated list for awesome kubernetes sources :ship::tada:
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • awesome-kubernetes has a medium active ecosystem.
  • It has 11943 star(s) with 1896 fork(s). There are 515 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 4 open issues and 68 have been closed. On average issues are closed in 39 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of awesome-kubernetes is v5.0
awesome-kubernetes Support
Best in #GCP
Average in #GCP
awesome-kubernetes Support
Best in #GCP
Average in #GCP

quality kandi Quality

  • awesome-kubernetes has 0 bugs and 0 code smells.
awesome-kubernetes Quality
Best in #GCP
Average in #GCP
awesome-kubernetes Quality
Best in #GCP
Average in #GCP

securitySecurity

  • awesome-kubernetes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • awesome-kubernetes code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
awesome-kubernetes Security
Best in #GCP
Average in #GCP
awesome-kubernetes Security
Best in #GCP
Average in #GCP

license License

  • awesome-kubernetes 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.
awesome-kubernetes License
Best in #GCP
Average in #GCP
awesome-kubernetes License
Best in #GCP
Average in #GCP

buildReuse

  • awesome-kubernetes releases are available to install and integrate.
awesome-kubernetes Reuse
Best in #GCP
Average in #GCP
awesome-kubernetes Reuse
Best in #GCP
Average in #GCP
Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample Here

Get all kandi verified functions for this library.

Get all kandi verified functions for this library.

awesome-kubernetes Key Features

A curated list for awesome kubernetes sources :ship::tada:

awesome-kubernetes Examples and Code Snippets

No Code Snippets are available at this moment for awesome-kubernetes.

See all Code Snippets related to GCP

Community Discussions

Trending Discussions on GCP
  • Submit command line arguments to a pyspark job on airflow
  • Skip first line in import statement using gc.open_by_url from gspread (i.e. add header=0)
  • Automatically Grab Latest Google Cloud Platform Secret Version
  • Programmatically Connecting a GitHub repo to a Google Cloud Project
  • Unable to create a new Cloud Function - cloud-client-api-gae
  • TypeScript project failing to deploy to App Engine targeting Node 12 or 14, but works with Node 10
  • Dataproc Java client throws NoSuchMethodError setUseJwtAccessWithScope
  • Apache Beam Cloud Dataflow Streaming Stuck Side Input
  • BIG Query command using BAT file
  • Vertex AI Model Batch prediction, issue with referencing existing model and input file on Cloud Storage
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 awesome-kubernetes

You can download it from GitHub.

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 .

DOWNLOAD this Library from

Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from
over 430 million Knowledge Items
Find more libraries
Reuse Solution Kits and Libraries Curated by Popular Use Cases
Explore Kits

Save this library and start creating your kit

Explore Related Topics

Share this Page

share link
Consider Popular GCP Libraries
Try Top Libraries by ramitsurana
Compare GCP Libraries with Highest Support
Compare GCP Libraries with Highest Quality
Compare GCP Libraries with Highest Security
Compare GCP Libraries with Permissive License
Compare GCP Libraries with Highest Reuse
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from
over 430 million Knowledge Items
Find more libraries
Reuse Solution Kits and Libraries Curated by Popular Use Cases
Explore Kits

Save this library and start creating your kit

  • © 2022 Open Weaver Inc.