spark-on-k8s-gcp-examples | Example Spark applications that run on Kubernetes | GCP library

 by   GoogleCloudPlatform Java Version: Current License: Apache-2.0

kandi X-RAY | spark-on-k8s-gcp-examples Summary

kandi X-RAY | spark-on-k8s-gcp-examples Summary

spark-on-k8s-gcp-examples is a Java library typically used in Cloud, GCP, Spark applications. spark-on-k8s-gcp-examples has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However spark-on-k8s-gcp-examples build file is not available. You can download it from GitHub.

This is not an official Google product.
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            kandi-support Support

              spark-on-k8s-gcp-examples has a low active ecosystem.
              It has 31 star(s) with 21 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              spark-on-k8s-gcp-examples has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of spark-on-k8s-gcp-examples is current.

            kandi-Quality Quality

              spark-on-k8s-gcp-examples has 0 bugs and 0 code smells.

            kandi-Security Security

              spark-on-k8s-gcp-examples has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              spark-on-k8s-gcp-examples code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              spark-on-k8s-gcp-examples 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.

            kandi-Reuse Reuse

              spark-on-k8s-gcp-examples releases are not available. You will need to build from source code and install.
              spark-on-k8s-gcp-examples has no build file. You will be need to create the build yourself to build the component from source.
              spark-on-k8s-gcp-examples saves you 421 person hours of effort in developing the same functionality from scratch.
              It has 998 lines of code, 28 functions and 10 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed spark-on-k8s-gcp-examples and discovered the below as its top functions. This is intended to give you an instant insight into spark-on-k8s-gcp-examples implemented functionality, and help decide if they suit your requirements.
            • Entry point to the GCS output directory
            • Delete the temporary directory
            • Compute the number of word counts
            • Parse BigQuery connector configuration
            • This is the main method to be used for debugging
            • Outputs the result table to a BigQuery table
            • Get the imported packages
            • Runs the goog
            • Demonstrates how to write a big query word count to GCS
            • Computes the number of words
            • Configures BigQuery with the given BigQuery table ID
            • Demonstrates how to execute BigQuery
            • Creates a BigQuerySQL Context
            • Executes the given SQL query and returns the results
            • Returns the JSON object that represents the given tuple
            • Runs a streaming job
            • Convert a GoGo import path to a Tuple
            • Returns a tuple of word counts
            Get all kandi verified functions for this library.

            spark-on-k8s-gcp-examples Key Features

            No Key Features are available at this moment for spark-on-k8s-gcp-examples.

            spark-on-k8s-gcp-examples Examples and Code Snippets

            No Code Snippets are available at this moment for spark-on-k8s-gcp-examples.

            Community Discussions

            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:

            ...

            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.

            Source https://stackoverflow.com/questions/71616491

            QUESTION

            Skip first line in import statement using gc.open_by_url from gspread (i.e. add header=0)
            Asked 2022-Mar-16 at 08:12

            What is the equivalent of header=0 in pandas, which recognises the first line as a heading in gspread?

            pandas import statement (correct)

            ...

            ANSWER

            Answered 2022-Mar-16 at 08:12

            Looking at the API documentation, you probably want to use:

            Source https://stackoverflow.com/questions/71418682

            QUESTION

            Automatically Grab Latest Google Cloud Platform Secret Version
            Asked 2022-Mar-01 at 03:01

            I'm trying to grab the latest secret version. Is there a way to do that without specifying the version number? Such as using the keyword "latest". I'm trying to avoid having to iterate through all the secret versions with a for loop as GCP documentation shows:

            ...

            ANSWER

            Answered 2021-Sep-12 at 18:54
            import com.google.cloud.secretmanager.v1.AccessSecretVersionResponse;
            import com.google.cloud.secretmanager.v1.SecretManagerServiceClient;
            import com.google.cloud.secretmanager.v1.SecretVersionName;
            import java.io.IOException;
            
            public class AccessSecretVersion {
            
              public static void accessSecretVersion() throws IOException {
                // TODO(developer): Replace these variables before running the sample.
                String projectId = "your-project-id";
                String secretId = "your-secret-id";
                String versionId = "latest"; //<-- specify version
                accessSecretVersion(projectId, secretId, versionId);
              }
            
              // Access the payload for the given secret version if one exists. The version
              // can be a version number as a string (e.g. "5") or an alias (e.g. "latest").
              public static void accessSecretVersion(String projectId, String secretId, String versionId)
                  throws IOException {
                // Initialize client that will be used to send requests. This client only needs to be created
                // once, and can be reused for multiple requests. After completing all of your requests, call
                // the "close" method on the client to safely clean up any remaining background resources.
                try (SecretManagerServiceClient client = SecretManagerServiceClient.create()) {
                  SecretVersionName secretVersionName = SecretVersionName.of(projectId, secretId, versionId);
            
                  // Access the secret version.
                  AccessSecretVersionResponse response = client.accessSecretVersion(secretVersionName);
            
                  // Print the secret payload.
                  //
                  // WARNING: Do not print the secret in a production environment - this
                  // snippet is showing how to access the secret material.
                  String payload = response.getPayload().getData().toStringUtf8();
                  System.out.printf("Plaintext: %s\n", payload);
                }
              }
            }
            

            Source https://stackoverflow.com/questions/68805240

            QUESTION

            Programmatically Connecting a GitHub repo to a Google Cloud Project
            Asked 2022-Feb-12 at 16:16

            I'm working on a Terraform project that will set up all the GCP resources needed for a large project spanning multiple GitHub repos. My goal is to be able to recreate the cloud infrastructure from scratch completely with Terraform.

            The issue I'm running into is in order to setup build triggers with Terraform within GCP, the GitHub repo that is setting off the trigger first needs to be connected. Currently, I've only been able to do that manually via the Google Cloud Build dashboard. I'm not sure if this is possible via Terraform or with a script but I'm looking for any solution I can automate this with. Once the projects are connected updating everything with Terraform is working fine.

            TLDR; How can I programmatically connect a GitHub project with a GCP project instead of using the dashboard?

            ...

            ANSWER

            Answered 2022-Feb-12 at 16:16

            Currently there is no way to programmatically connect a GitHub repo to a Google Cloud Project. This must be done manually via Google Cloud.

            My workaround is to manually connect an "admin" project, build containers and save them to that project's artifact registry, and then deploy the containers from the registry in the programmatically generated project.

            Source https://stackoverflow.com/questions/69834735

            QUESTION

            Unable to create a new Cloud Function - cloud-client-api-gae
            Asked 2022-Feb-11 at 18:49

            I'm unable to create a Cloud Function in my GCP project using GUI, but have admin roles for GCF, SA and IAM.

            Here is the error message:

            Missing necessary permission iam.serviceAccounts.actAs for cloud-client-api-gae on the service account serviceaccountname@DOMAIN.iam.gserviceaccount.com. Grant the role 'roles/iam.serviceAccountUser' to cloud-client-api-gae on the service account serviceaccountname@DOMAIN.iam.gserviceaccount.com.

            cloud-client-api-gae is not an SA nor User on my IAM list. It must be a creature living underneath Graphical User Interfrace.

            I have Enabled API for GCF, AppEngine and I have Service Account Admin role.

            I had literally 0 search results when googling for cloud-client-api-gae.

            ...

            ANSWER

            Answered 2022-Jan-18 at 13:53

            I contacted GCP support and it seems I was missing a single permission for my user: Service Account User - that's it.

            PS: Person from support didn't know what this thing called "cloud-client-api-gae" is.

            Source https://stackoverflow.com/questions/70756708

            QUESTION

            TypeScript project failing to deploy to App Engine targeting Node 12 or 14, but works with Node 10
            Asked 2022-Jan-16 at 14:32

            I have a TypeScript project that has been deployed several times without any problems to Google App Engine, Standard environment, running Node 10. However, when I try to update the App Engine project to either Node 12 or 14 (by editing the engines.node value in package.json and the runtime value in app.yaml), the deploy fails, printing the following to the console:

            ...

            ANSWER

            Answered 2022-Jan-16 at 14:32

            I encountered the exact same problem and just put typescript in dependencies, not devDependencies.

            It worked after that, but cannot assure that it is due to this change (since I have no proof of that).

            Source https://stackoverflow.com/questions/69153522

            QUESTION

            Dataproc Java client throws NoSuchMethodError setUseJwtAccessWithScope
            Asked 2022-Jan-14 at 19:24

            I am following this article ,for submit a job to an existing Dataproc cluster via a Dataproc API

            For the following line of code :

            ...

            ANSWER

            Answered 2022-Jan-14 at 19:22

            The method com.google.api.gax.core.GoogleCredentialsProvider$Builder com.google.api.gax.core.GoogleCredentialsProvider$Builder.setUseJwtAccessWithScope(boolean) was introduced in com.google.api:gax in version 2.3.0.

            Can you

            1. run mvn dependency:tree and confirm that your version of com.google.api:gax is above version 2.3.0?

            2. upgrade all Google libraries to the latest version?

            Here is a similar issue found on the internet.

            Source https://stackoverflow.com/questions/70640346

            QUESTION

            Apache Beam Cloud Dataflow Streaming Stuck Side Input
            Asked 2022-Jan-12 at 13:12

            I'm currently building PoC Apache Beam pipeline in GCP Dataflow. In this case, I want to create streaming pipeline with main input from PubSub and side input from BigQuery and store processed data back to BigQuery.

            Side pipeline code

            ...

            ANSWER

            Answered 2022-Jan-12 at 13:12

            Here you have a working example:

            Source https://stackoverflow.com/questions/70561769

            QUESTION

            BIG Query command using BAT file
            Asked 2022-Jan-09 at 15:24
            echo Give yearmonth "yyyyMM"
            setlocal enabledelayedexpansion
            SET /p yearmonth= 
            SET ClientName[0]=abc
            SET ClientName[1]=def
            
            SET i = 0
            
            :myLoop
            if defined ClientName[%i%] (
                call bq query --use_legacy_sql=false "CREATE EXTERNAL TABLE `test.!ClientName[%%i]!.%yearmonth%` OPTIONS (format = 'CSV',skip_leading_rows = 1 uris = ['gs://test/!ClientName[%%i]!/AWS/%yearmonth%/Metrics/data/*.csv'])"
                set /a "i+=1"
                GOTO :myLoop
            
            )
            
            ...

            ANSWER

            Answered 2022-Jan-09 at 11:04
            1. It is bad practice to set variables as standalone alphabetical characters like i. One reason is exactly as you have experienced, you have confused for metavariable %%i with a set variable %i%.

            2. You are expanding in the loop, but have not enabledelayedexpansion so there are 2 ways, which we will get to in a second.

            3. setting variables should not have spaces before or after = excluding the likes of set /a

            So, Method 1, without delayedexpansion (note how the variables are used with double %% in the loop with the call command).

            Source https://stackoverflow.com/questions/70640411

            QUESTION

            Vertex AI Model Batch prediction, issue with referencing existing model and input file on Cloud Storage
            Asked 2021-Dec-21 at 14:35

            I'm struggling to correctly set Vertex AI pipeline which does the following:

            1. read data from API and store to GCS and as as input for batch prediction.
            2. get an existing model (Video classification on Vertex AI)
            3. create Batch prediction job with input from point 1.
              As it will be seen, I don't have much experience with Vertex Pipelines/Kubeflow thus I'm asking for help/advice, hope it's just some beginner mistake. this is the gist of the code I'm using as pipeline
            ...

            ANSWER

            Answered 2021-Dec-21 at 14:35

            I'm glad you solved most of your main issues and found a workaround for model declaration.

            For your input.output observation on gcs_source_uris, the reason behind it is because the way the function/class returns the value. If you dig inside the class/methods of google_cloud_pipeline_components you will find that it implements a structure that will allow you to use .outputs from the returned value of the function called.

            If you go to the implementation of one of the components of the pipeline you will find that it returns an output array from convert_method_to_component function. So, in order to have that implemented in your custom class/function your function should return a value which can be called as an attribute. Below is a basic implementation of it.

            Source https://stackoverflow.com/questions/70356856

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install spark-on-k8s-gcp-examples

            You can download it from GitHub.
            You can use spark-on-k8s-gcp-examples 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 spark-on-k8s-gcp-examples 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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