146 lines
6.9 KiB
Markdown
146 lines
6.9 KiB
Markdown
Ruby 2.5 container image
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=================
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This container image includes Ruby 2.5 as a [S2I](https://github.com/openshift/source-to-image) base image for your Ruby 2.5 applications.
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Users can choose between RHEL and CentOS based builder images.
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The RHEL image is available in the [Red Hat Container Catalog](https://access.redhat.com/containers/#/registry.access.redhat.com/rhscl/ruby-25-rhel7)
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as registry.access.redhat.com/rhscl/ruby-25-rhel7.
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The CentOS image is then available on [Docker Hub](https://hub.docker.com/r/centos/ruby-25-centos7/)
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as centos/ruby-25-centos7.
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The resulting image can be run using [Docker](http://docker.io).
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Description
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-----------
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Ruby 2.5 available as container is a base platform for
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building and running various Ruby 2.5 applications and frameworks.
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Ruby is the interpreted scripting language for quick and easy object-oriented programming.
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It has many features to process text files and to do system management tasks (as in Perl).
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It is simple, straight-forward, and extensible.
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This container image includes an npm utility, so users can use it to install JavaScript
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modules for their web applications. There is no guarantee for any specific npm or nodejs
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version, that is included in the image; those versions can be changed anytime and
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the nodejs itself is included just to make the npm work.
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Usage
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---------------------
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To build a simple [ruby-sample-app](https://github.com/sclorg/s2i-ruby-container/tree/master/2.5/test/puma-test-app) application
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using standalone [S2I](https://github.com/openshift/source-to-image) and then run the
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resulting image with [Docker](http://docker.io) execute:
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* **For RHEL based image**
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```
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$ s2i build https://github.com/sclorg/s2i-ruby-container.git --context-dir=2.5/test/puma-test-app/ rhscl/ruby-25-rhel7 ruby-sample-app
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$ docker run -p 8080:8080 ruby-sample-app
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```
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* **For CentOS based image**
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```
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$ s2i build https://github.com/sclorg/s2i-ruby-container.git --context-dir=2.5/test/puma-test-app/ centos/ruby-25-centos7 ruby-sample-app
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$ docker run -p 8080:8080 ruby-sample-app
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```
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**Accessing the application:**
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```
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$ curl 127.0.0.1:8080
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```
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Environment variables
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---------------------
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To set these environment variables, you can place them as a key value pair into a `.sti/environment`
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file inside your source code repository.
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* **RACK_ENV**
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This variable specifies the environment where the Ruby application will be deployed (unless overwritten) - `production`, `development`, `test`.
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Each level has different behaviors in terms of logging verbosity, error pages, ruby gem installation, etc.
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**Note**: Application assets will be compiled only if the `RACK_ENV` is set to `production`
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* **DISABLE_ASSET_COMPILATION**
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This variable set to `true` indicates that the asset compilation process will be skipped. Since this only takes place
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when the application is run in the `production` environment, it should only be used when assets are already compiled.
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* **PUMA_MIN_THREADS**, **PUMA_MAX_THREADS**
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These variables indicate the minimum and maximum threads that will be available in [Puma](https://github.com/puma/puma)'s thread pool.
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* **PUMA_WORKERS**
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This variable indicate the number of worker processes that will be launched. See documentation on Puma's [clustered mode](https://github.com/puma/puma#clustered-mode).
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* **RUBYGEM_MIRROR**
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Set this variable to use a custom RubyGems mirror URL to download required gem packages during build process.
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Hot deploy
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---------------------
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In order to dynamically pick up changes made in your application source code, you need to make following steps:
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* **For Ruby on Rails applications**
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Run the built Rails image with the `RAILS_ENV=development` environment variable passed to the [Docker](http://docker.io) `-e` run flag:
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```
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$ docker run -e RAILS_ENV=development -p 8080:8080 rails-app
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```
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* **For other types of Ruby applications (Sinatra, Padrino, etc.)**
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Your application needs to be built with one of gems that reloads the server every time changes in source code are done inside the running container. Those gems are:
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* [Shotgun](https://github.com/rtomayko/shotgun)
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* [Rerun](https://github.com/alexch/rerun)
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* [Rack-livereload](https://github.com/johnbintz/rack-livereload)
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Please note that in order to be able to run your application in development mode, you need to modify the [S2I run script](https://github.com/openshift/source-to-image#anatomy-of-a-builder-image), so the web server is launched by the chosen gem, which checks for changes in the source code.
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After you built your application image with your version of [S2I run script](https://github.com/openshift/source-to-image#anatomy-of-a-builder-image), run the image with the RACK_ENV=development environment variable passed to the [Docker](http://docker.io) -e run flag:
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```
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$ docker run -e RACK_ENV=development -p 8080:8080 sinatra-app
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```
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To change your source code in running container, use Docker's [exec](http://docker.io) command:
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```
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docker exec -it <CONTAINER_ID> /bin/bash
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```
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After you [Docker exec](http://docker.io) into the running container, your current
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directory is set to `/opt/app-root/src`, where the source code is located.
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Performance tuning
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---------------------
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You can tune the number of threads per worker using the
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`PUMA_MIN_THREADS` and `PUMA_MAX_THREADS` environment variables.
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Additionally, the number of worker processes is determined by the number of CPU
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cores that the container has available, as recommended by
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[Puma](https://github.com/puma/puma)'s documentation. This is determined using
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the cgroup [cpusets](https://www.kernel.org/doc/Documentation/cgroup-v1/cpusets.txt)
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subsystem. You can specify the cores that the container is allowed to use by passing
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the `--cpuset-cpus` parameter to the [Docker](http://docker.io) run command:
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```
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$ docker run -e PUMA_MAX_THREADS=32 --cpuset-cpus='0-2,3,5' -p 8080:8080 sinatra-app
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```
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The number of workers is also limited by the memory limit that is enforced using
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cgroups. The builder image assumes that you will need 50 MiB as a base and
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another 15 MiB for every worker process plus 128 KiB for each thread. Note that
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each worker has its own threads, so the total memory required for the whole
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container is computed using the following formula:
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```
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50 + 15 * WORKERS + 0.125 * WORKERS * PUMA_MAX_THREADS
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```
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You can specify a memory limit using the `--memory` flag:
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```
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$ docker run -e PUMA_MAX_THREADS=32 --memory=300m -p 8080:8080 sinatra-app
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```
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If memory is more limiting then the number of available cores, the number of
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workers is scaled down accordingly to fit the above formula. The number of
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workers can also be set explicitly by setting `PUMA_WORKERS`.
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See also
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--------
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Dockerfile and other sources are available on https://github.com/sclorg/s2i-ruby-container.
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In that repository you also can find another versions of Python environment Dockerfiles.
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Dockerfile for CentOS is called Dockerfile, Dockerfile for RHEL is called Dockerfile.rhel7.
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