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gcm-sender-async | Asynchronous Google Cloud Messaging Library | GCP library

 by   signalapp Java Version: Current License: No License

 by   signalapp Java Version: Current License: No License

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kandi X-RAY | gcm-sender-async Summary

gcm-sender-async is a Java library typically used in Cloud, GCP applications. gcm-sender-async has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Asynchronous Google Cloud Messaging (GCM) Library
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • gcm-sender-async has a low active ecosystem.
  • It has 47 star(s) with 49 fork(s). There are 11 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 4 open issues and 1 have been closed. There are 4 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of gcm-sender-async is current.
gcm-sender-async Support
Best in #GCP
Average in #GCP
gcm-sender-async Support
Best in #GCP
Average in #GCP

quality kandi Quality

  • gcm-sender-async has 0 bugs and 0 code smells.
gcm-sender-async Quality
Best in #GCP
Average in #GCP
gcm-sender-async Quality
Best in #GCP
Average in #GCP

securitySecurity

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

license License

  • gcm-sender-async does not have a standard license declared.
  • Check the repository for any license declaration and review the terms closely.
  • Without a license, all rights are reserved, and you cannot use the library in your applications.
gcm-sender-async License
Best in #GCP
Average in #GCP
gcm-sender-async License
Best in #GCP
Average in #GCP

buildReuse

  • gcm-sender-async releases are not available. You will need to build from source code and install.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • gcm-sender-async saves you 307 person hours of effort in developing the same functionality from scratch.
  • It has 739 lines of code, 57 functions and 15 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
gcm-sender-async Reuse
Best in #GCP
Average in #GCP
gcm-sender-async Reuse
Best in #GCP
Average in #GCP
Top functions reviewed by kandi - BETA

kandi has reviewed gcm-sender-async and discovered the below as its top functions. This is intended to give you an instant insight into gcm-sender-async implemented functionality, and help decide if they suit your requirements.

  • Sends a message .
    • Serialize this request entity
      • Get the canonical registration id .
        • Creates a new builder .
          • Stop the client .
            • Returns true if this registration was invalid .
              • Get the error message .
                • Gets the message id .
                  • Get the results

                    Get all kandi verified functions for this library.

                    Get all kandi verified functions for this library.

                    gcm-sender-async Key Features

                    Asynchronous Google Cloud Messaging (GCM) Library

                    Installing

                    copy iconCopydownload iconDownload
                    <dependency>
                      <groupId>org.whispersystems</groupId>
                      <artifactId>gcm-sender-async</artifactId>
                      <version>(latest version here)</version>
                    </dependency>
                    

                    Using

                    copy iconCopydownload iconDownload
                    String apiKey = "<myGcmApiKey>";
                    Sender sender = new Sender(apiKey);
                    
                    ListenableFuture<Result> future = sender.send(Message.newBuilder()
                                                                         .withDestination("<registration_id>")
                                                                         .withDataPart("message", "hello world!");
                    
                    Futures.addCallback(future, new FutureCallback<Result>() {
                      @Override
                      public void onSuccess(Result result) {
                        if (result.isSuccess()) {
                          // Maybe do something with result.getMessageId()
                        } else {
                          // Maybe do something with result.getError(), or check result.isUnregistered, etc..
                        }
                      }
                    
                      @Override
                      public void onFailure(Throwable throwable) {
                        // Handle network failure or server 500
                      }
                    }
                    

                    Community Discussions

                    Trending Discussions on GCP
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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 gcm-sender-async

                    You can download it from GitHub.
                    You can use gcm-sender-async like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the gcm-sender-async component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

                    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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