apache-docker | Automated build of Apache with Docker | Continuous Deployment library

by jacksoncage Shell Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | apache-docker Summary

apache-docker is a Shell library typically used in Devops, Continuous Deployment, Docker applications. apache-docker has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Automated build of Apache with Docker.

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apache-docker has a low active ecosystem.

It has 41 star(s) with 27 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of apache-docker is current.

Quality

apache-docker has no bugs reported.

Security

apache-docker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

apache-docker 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.

Reuse

apache-docker releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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apache-docker Key Features

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apache-docker Examples and Code Snippets

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Community Discussions

Trending Discussions on apache-docker

How to call a Dataflow job written in Go from Cloud Functions in GCP

QUESTION

How to call a Dataflow job written in Go from Cloud Functions in GCP

Asked 2019-Aug-29 at 12:52

My goal is creating a mechanism that when a new file is uploaded into the Cloud Storage, it'll trigger a Cloud Function. Eventually, this Cloud function will trigger a Cloud Dataflow job.

I have a restriction that the Cloud Dataflow job should be written in Go, and the Cloud Function should be written in Python.

The problem I have been facing right now is, I cannot call Cloud Dataflow job from a Cloud Function.

The problem in Cloud Dataflow written in Go is there is no template-location variable defined in Apache Beam Go SDK. That's why I cannot create dataflow templates. And, since there is no dataflow templates, the only way that I can call Cloud Dataflow job from a cloud function is writing a Python job which calls a bash script which runs dataflow job.

The bash script looks like that:

...

ANSWER

Answered 2019-Feb-21 at 14:55

I found out that the Apache Beam Go SDK supports worker_binary parameter which is similar to template-location for Java Dataflow jobs. Using this option, I was able to kick off a go dataflow job from my python cloud function.

Source https://stackoverflow.com/questions/54168079

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

Vulnerabilities

No vulnerabilities reported

Install apache-docker

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 .

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