dataflow-samples | Examples using Google Cloud Dataflow - Apache Beam | GCP library

 by   gxercavins Java Version: Current License: Apache-2.0

kandi X-RAY | dataflow-samples Summary

kandi X-RAY | dataflow-samples Summary

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

Examples using Google Cloud Dataflow - Apache Beam

            kandi-support Support

              dataflow-samples has a low active ecosystem.
              It has 30 star(s) with 13 fork(s). There are 1 watchers for this library.
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. There are 57 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of dataflow-samples is current.

            kandi-Quality Quality

              dataflow-samples has 0 bugs and 0 code smells.

            kandi-Security Security

              dataflow-samples has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              dataflow-samples code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              dataflow-samples 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

              dataflow-samples releases are not available. You will need to build from source code and install.
              dataflow-samples has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are available. Examples and code snippets are not available.
              dataflow-samples saves you 7629 person hours of effort in developing the same functionality from scratch.
              It has 15737 lines of code, 368 functions and 123 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed dataflow-samples and discovered the below as its top functions. This is intended to give you an instant insight into dataflow-samples implemented functionality, and help decide if they suit your requirements.
            • Runs a throttle step
            • Entry point for testing purposes .
            • Entry point for the direct runner .
            • This method takes a collection of UDFs and maps them to a TableRow object
            • Merge results .
            • Starts the pipeline .
            • Assign a window to a window .
            • Verify that two sessions are compatible with the same window function .
            • Process an element .
            Get all kandi verified functions for this library.

            dataflow-samples Key Features

            No Key Features are available at this moment for dataflow-samples.

            dataflow-samples Examples and Code Snippets

            No Code Snippets are available at this moment for dataflow-samples.

            Community Discussions


            Apache Beam and Dataflow Fatal Python error: XXX block stack underflow
            Asked 2021-Nov-11 at 18:56

            Following the instructions in, when I build a custom container with the empty Dockerfile mentioned, I get a "Fatal Python error: XXX block stack underflow" error in my stackdriver logs, and I cant figure out why. Any ideas? Thanks in advance!




            Answered 2021-Nov-11 at 18:56

            My guess is that there's a Python version mismatch. What does python3 --version give? Is it 3.8 like the container?



            Google Cloud Dataflow with Apache Beam does not display log
            Asked 2021-Mar-18 at 08:18

            My problem is that the logs on the dataflow does not display anything (monitoring api is enabled) and I have no idea why.

            With the following Apache Beam code (adopted from,



            Answered 2021-Mar-18 at 08:18

            Turn out that the default sink in Logs Router exclude the Dataflow log.

            Creating a new sink in Logs Router with inclusion filter of resource.type="dataflow_step" fixes the problem.



            Apache Beam pipeline step not running in parallel? (Python)
            Asked 2020-Jun-25 at 16:52

            I used a slightly modified version of the wordcount example (, replacing the process function with the following:



            Answered 2020-Jun-25 at 16:52

            The standard Apache Beam example uses a very small data input: gs://dataflow-samples/shakespeare/kinglear.txt is only a few KBs, so it will not split the work well.

            Apache Beam does work parallelization by splitting up the input data. For example, if you have many files, each file will be consumed in parallel. If you have a file that is very large, Beam is able to split that file into segments that will be consumed in parallel.

            You are correct that your code should eventually show parallelism happening - but try with a (significantly) larger input.



            Spring Cloud Data Flow Kinises Example Consumer Failing
            Asked 2020-Jun-25 at 14:01

            I have cloned the SCDF Kinesis Example: and running the same. The kinesis Producer is running and publishing the events to kinesis. However, the Kinesis Consumer Spring Boot is failed to start due to the below ERRORS. Please let me know if anybody faced this issue and how to solve this?



            Answered 2020-Jun-25 at 14:01

            Check your configuration on credentials provided for the app as the error clearly says it failed due to "Status Code: 400; Error Code: AccessDeniedException"



            Changing the schedule for a Supplier function in a spring cloud kafka example
            Asked 2020-Jun-19 at 14:50

            I'm trying to modify the example sender in this Spring Cloud Stream tutorial to change the default sending interval.

            The example was updated to use a functional Supplier & removed the @EnableScheduling\@Scheduled annotations, but I can't figure out how to change the schedule interval in the new version - this is what I tried unsuccessfully:



            Answered 2020-Jun-19 at 14:50


            Custom build for spring-cloud-dataflow-server:2.5.0.RELEASE failing
            Asked 2020-May-23 at 06:49

            I'm trying to do a custom build of "spring-cloud-dataflow-server:2.5.0.RELEASE" to add my Oracle driver. But it's failing. I have used the dependencies used for 2.2.0



            Answered 2020-May-23 at 06:49

            I just added new working build files for dataflow 2.5.x



            How to solve the execption "java.lang.IllegalArgumentException: Invalid TaskExecution, ID 3" when launching a task from SCDF?
            Asked 2020-May-14 at 11:08

            I'm trying to run a Spring batch jar through SCDF. I use different datasource fpr both reading and writing(Both Oracle DB). The dataSource I use to write is primary datasource. I use a Custom Build SCDF to include oracle driver dependencies. Below is the custom SCDF project location.


            I my local Spring batch project I implemented DefaultTaskConfigurer to provide my primary datasource. So when I run the Batch project from IDE the project runs fine and it reads records from secondary datasource and writes into primary datasource. But when I deploy the batch jar to custom build SCDF as task and launch it, I get an error that says,



            Answered 2020-May-14 at 11:08

            Instead of overriding the DefaultTaskConfigurer.getTaskDataSource() method as I have done above, I changed the DefaultTaskConfigurer implementation as below. I'm not sure yet why overriding the method getTaskDataSource() is causing the problem. Below is the solution that worked for me.



            How to do a Custom Build of Spring Cloud Data Flow server with Oracle driver dependency?
            Asked 2020-Apr-19 at 09:15

            I've been trying out the SCDF for sometime with intention to use Oracle Database as datasource. Due to licensing issues Oracle driver has to be added to the classpath of SCDF server or we have to do a custom build of SCDF server with Oracle Driver dependency(Which I have). When I download the custom build project dataflow-server-22x (only this project) from github and try to execute I get a missing artifact issue in pom.xml as below.



            Answered 2020-Apr-16 at 10:24

            Since you mentioned you don't run this on CloudFoundry and the specific dependency io.pivotal:pivotal-cloudfoundry-client-reactor:jar comes from the spring-cloud-dataflow-platform-cloudfoundry, you need to remove this dependency from the custom build configuration as below:



            release jar file download from snapshot locatoin
            Asked 2020-Apr-16 at 10:03

            On spring cloud dataflow getting started page, (

            It says run command below, but Error 404(Not found). wget

            as you can see, snapshot location and RELEASE version jar file.

            This is not the only case, so I think there could be some reason.

            I needs the meaning. Thanks



            Answered 2020-Apr-16 at 10:03

            Thanks for reporting it. This is indeed a bug in the data flow site configuration. This is fixed via: I will post an update once the fix is applied to the site.

            Thanks again.


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


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