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hanami-events-cloud_pubsub | A hanami-events adapter for Google Cloud Pub/Sub | GCP library

 by   broadlume Ruby Version: v3.0.7 License: MIT

 by   broadlume Ruby Version: v3.0.7 License: MIT

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kandi X-RAY | hanami-events-cloud_pubsub Summary

hanami-events-cloud_pubsub is a Ruby library typically used in Cloud, GCP applications. hanami-events-cloud_pubsub has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
A hanami-events adapter for Google Cloud Pub/Sub
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • hanami-events-cloud_pubsub has a low active ecosystem.
  • It has 7 star(s) with 1 fork(s). There are 3 watchers for this library.
  • It had no major release in the last 12 months.
  • hanami-events-cloud_pubsub has no issues reported. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of hanami-events-cloud_pubsub is v3.0.7
This Library - Support
Best in #GCP
Average in #GCP
This Library - Support
Best in #GCP
Average in #GCP

quality kandi Quality

  • hanami-events-cloud_pubsub 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

  • hanami-events-cloud_pubsub has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • hanami-events-cloud_pubsub 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

  • hanami-events-cloud_pubsub 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

  • hanami-events-cloud_pubsub releases are available to install and integrate.
  • Installation instructions, examples and code snippets are available.
This Library - Reuse
Best in #GCP
Average in #GCP
This Library - Reuse
Best in #GCP
Average in #GCP
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hanami-events-cloud_pubsub Key Features

A hanami-events adapter for Google Cloud Pub/Sub

hanami-events-cloud_pubsub Examples and Code Snippets

See all related Code Snippets

Installation

copy iconCopydownload iconDownload
bundle add hanami-events-cloud_pubsub

Usage

copy iconCopydownload iconDownload
Hanami.events.subscribe('user.deleted', id: 'my-subscriber-id') do |payload|
  puts "Deleted user: #{payload}"
end

Testing

copy iconCopydownload iconDownload
$(gcloud beta emulators pubsub env-init)
gcloud beta emulators pubsub start
bundle exec cloudpubsub run --emulator

See all related 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 hanami-events-cloud_pubsub

If using Hanami, register the adapter in your config/environment.rb:.

Support

Bug reports and pull requests are welcome on GitHub at https://github.com/ianks/hanami-events-cloud_pubsub. 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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