" />
class: center, middle, inverse, title-slide # RStudio & Shiny Docker 소개 ## <a href="https://github.com/shinykorea/Meetup">Shinykorea 밋업</a> ### 김진섭; <a href="https://github.com/jinseob2kim"><span><i class="fab fa-github faa-float animated "></i>jinseob2kim</span></a> ### 차라투 ### 2020-10-26 --- layout: true <div class="my-footer"><span><a href="https://www.zarathu.com">Zarathu Co.,Ltd</a>                             <a href="https://github.com/jinseob2kim">김진섭</a></span></div> --- # Executive Summary .large[ - RStudio와 Shiny-server 가 포함된 Docker image 이용, 새로 서버 구축할 때마다 재설치하는 번거로움을 없앤다. - [공식 image](https://hub.docker.com/r/rocker/rstudio) 참고하여 자체개발. https://github.com/jinseob2kim/docker-rshiny ] --- # Docker 개념 및 설치 .large[ https://subicura.com/2017/01/19/docker-guide-for-beginners-2.html 추천 ] --- # [Rocker project](https://github.com/rocker-org/rocker) 공식 docker image image | description | size | metrics | build status ---------------- | ----------------------------------------- | ------ | ------- | -------------- [rstudio](https://hub.docker.com/r/rocker/rstudio) | Adds rstudio | [](https://microbadger.com/) | [](https://hub.docker.com/r/rocker/rstudio) | [](https://hub.docker.com/r/rocker/rstudio/builds) [tidyverse](https://hub.docker.com/r/rocker/tidyverse) | Adds tidyverse & devtools | [](https://microbadger.com/images/rocker/tidyverse) | [](https://hub.docker.com/r/rocker/tidyverse) | [](https://hub.docker.com/r/rocker/tidyverse/builds) [verse](https://hub.docker.com/r/rocker/verse) | Adds tex & publishing-related packages | [](https://microbadger.com/images/rocker/verse) | [](https://hub.docker.com/r/rocker/verse) | [](https://hub.docker.com/r/rocker/verse/builds) [geospatial](https://hub.docker.com/r/rocker/geospatial) | Adds geospatial libraries | [](https://microbadger.com/images/rocker/geospatial) | [](https://hub.docker.com/r/rocker/geospatial) | [](https://hub.docker.com/r/rocker/geospatial/builds) [shiny-verse](https://hub.docker.com/r/rocker/shiny-verse) | shiny-server | [](https://microbadger.com/images/rocker/shiny-verse) | [](https://hub.docker.com/r/rocker/shiny-verse) | [](https://hub.docker.com/r/rocker/shiny-verse/builds) .large[ [rstudio](https://hub.docker.com/r/rocker/rstudio) 에 shiny-server 추가 가능 - 설치에 시간 걸림, 해결하려면 따로 이미지 만들어야 ] --- # [Add shiny server](https://hub.docker.com/r/rocker/rstudio) ```shell docker run -d -p 3838:3838 -p 8787:8787 -e ADD=shiny -e PASSWORD=yourpasswordhere rocker/rstudio ``` shiny server is now running on `localhost:3838` and RStudio on `localhost:8787`. Note: this triggers shiny install at runtime, which may **require a few minutes** to execute before services come up. If you are building your own Dockerfiles on top of this stack, you should simply include the RUN command: RUN export ADD=shiny && bash /etc/cont-init.d/add Then omit the `-e ADD=shiny` when running your image and shiny should be installed and waiting on port 3838. **Note**: Please see the `rocker/shiny` and `rocker/shiny-verse` images for setting up a shiny server in a separate container from RStudio. --- # 참고해서 새로 만들자 https://github.com/jinseob2kim/docker-rshiny ```shell docker run --rm -d -p 3838:3838 -p 8787:8787 \ -e USER=js -e PASSWORD=js -e ROOT=TRUE\ -v $(pwd):/home/js \ jinseob2kim/docker-rshiny ``` Default shinyapps directory is `/home/js/ShinyApps` - `--rm` : 실행중지시 이미지 삭제, `-d`: 백그라운드 실행 - `-p` : 도커내부포트:실제접속포트 - `-v` : 디스크 연결, `$(pwd)` 는 현재작업위치 **Run** (8787- rstudio server, 3838- shiny server) - Local cumputer : http://localhost:8787, http://localhost:3838, - Server : **Your IP**:8787, **Your IP**:3838 --- # 제작파일 살펴보기 .large[ [Dockerfile](https://github.com/jinseob2kim/docker-rshiny/blob/master/Dockerfile): 메인코드 - 우분투 기반, R/RStudio/Shiny-server 설치 [ini.sh](https://github.com/jinseob2kim/docker-rshiny/blob/master/ini.sh): 초기작업 - User, Shiny-server 디렉토리, sudo.. [supervisord.conf](https://github.com/jinseob2kim/docker-rshiny/blob/master/supervisord.conf): 실행 - 초기작업 후 RStudio, shiny-server 실행 ] --- # Dockerhub .large[ 코드 [깃헙](https://github.com/jinseob2kim/docker-rshiny) 에 올린 후 [dockerhub](https://hub.docker.com/r/jinseob2kim/docker-rshiny) 과 연계하면 이미지 제작됨. ] -- .large[ [깃헙 action](https://github.com/jinseob2kim/docker-rshiny/blob/master/.github/workflows/dockerimage.yml) 이용, [dockerhub 필요없이 깃헙 repository에 저장](https://coffeewhale.com/cicd/github/2019/10/14/github-actions/) 할 수도 있음. ] ```yml name: DockerImageCI on: [push] jobs: build: runs-on: ubuntu-latest steps: - uses: actions/checkout@v1 - name: Build the Docker image run: docker build . --file Dockerfile --tag docker.pkg.github.com/jinseob2kim/docker-rshiny/docker-rshiny:githubactions - name: Login to Github package registry run: echo "${{ secrets.GITHUB_TOKEN }}" | docker login docker.pkg.github.com -u ${{ github.actor }} --password-stdin - name: Push Docker image to Github package registry run: docker push docker.pkg.github.com/jinseob2kim/docker-rshiny/docker-rshiny:githubactions ``` --- # Executive Summary .large[ - RStudio와 Shiny-server 가 포함된 Docker image 이용, 새로 서버 구축할 때마다 재설치하는 번거로움을 없앤다. - 공식 image 참고하여 자체개발. https://github.com/jinseob2kim/docker-rshiny ] --- class: center, middle # END