How to access the running containers during new container docker build?
Need to access the database container during the build of the application container
docker-compose
version: '3'
services:
db:
build: ./db
ports:
- 1433:1433
networks:
- mynetwork
app:
build: ./app
ports:
- 8080:8080
depends_on:
- db
networks:
- mynetwork
networks:
mynetwork: {}
Tried to bring up the db prior to building the app container, but not working:
docker-compose build db
docker-compose up -d db
docker-compose build app
You can't, and it's not a good idea. For example, if you run:
docker-compose build
docker-compose down -v
docker-compose up
The down step will delete all of the containers and their underlying storage (including the contents of the database); then the up step will create all new containers from existing images without re-running the Dockerfile. Even if you added a --build option, Docker's layer caching would conclude that the filesystem output of your database setup command hasn't changed, and will skip re-running that step.
You can encounter a similar problem if you docker push the built image to some registry and run it on a different host: since the image is reusable, commands from its Dockerfile won't get re-run, but it's not the same database, so the setup won't get done.
Depending on what kind of setup you're trying to do, probably the best approach is to configure your image with an entrypoint script that runs your application's database migrations, then exec "$#" runs the main container command. It can also work to put setup commands in the database's /docker-entrypoint-initdb.d directory, though these won't get re-run if your application's database schema changes.
At a technical level, this doesn't work because the docker build environment isn't on any particular Docker network, neither the mynetwork you manually specify nor the default network Compose creates on its own. The build sequence runs separately from running the resulting image, and it ignores most of the Docker Compose settings.
Related
I have a golang script which interacts with postgres. Created a service in docker-compose.yml for both golang and postgre. When I run it locally with "docker-compose up" it works perfect, but now I want to create one single image to push it to my dockerhub so it can be pulled and ran with just "docker run ". What is the correct way of doing it?
Image created by "docker-compose up --build" launches with no error with "docker run " but immediately stops.
docker-compose.yml:
version: '3.6'
services:
go:
container_name: backend
build: ./
volumes:
- # some paths
command: go run ./src/main.go
working_dir: $GOPATH/src/workflow/project
environment: #some env variables
ports:
- "80:80"
db:
image: postgres
environment: #some env variables
volumes:
- # some paths
ports:
- "5432:5432"
Dockerfile:
FROM golang:latest
WORKDIR $GOPATH/src/workflow/project
CMD ["/bin/bash"]
I am a newbie with docker so any comments on how to do things idiomatically are appreciated
docker-compose does not combine docker images into one, it runs (with up) or builds then runs (with up --build) docker containers based on the images defined in the yml file.
More info are in the official docs
Compose is a tool for defining and running multi-container Docker applications.
so, in your example, docker-compose will run two containers:
1 - based on the go configurations
2 - based on the db configurations
to see what containers are actually running, use the command:
docker ps -a
for more info see docker docs
It is always recommended to run each searvice on a separate container, but if you insist to make an image which has both golangand postrges, you can take a postgres base image and install golang on it, or the other way around, take golangbased image and install postgres on it.
The installation steps can be done inside the Dockerfile, please refer to:
- postgres official Dockerfile
- golang official Dockerfile
combine them to get both.
Edit: (digital ocean deployment)
Well, if you copy every thing (docker images and the yml file) to your droplet, it should bring the application up and running similar to what happens when you do the same on your local machine.
An example can be found here: How To Deploy a Go Web Application with Docker and Nginx on Ubuntu 18.04
In production, usually for large scale/traffic applications, more advanced solutions are used such as:
- docker swarm
- kubernetes
For more info on Kubernetes on digital ocean, please refer to the official docs
hope this helps you find your way.
Here is a simplified version of my docker-compose.yml (it's the volume in buggy-service that does not behave as I expect):
version: '3.4'
services:
local-db:
image: postgres:9.6
environment:
- DB_NAME=${DB_NAME}
# other env vars (not important)
ports:
- 5432:5432
volumes:
- ~/.docker-volumes/${DB_NAME}/postgresql/data:/var/lib/postgresql/data
- postgresql:/docker-entrypoint-initdb.d
buggy-service:
build:
context: .
dockerfile: Dockerfile.test
target: buggy-image
args:
# bunch of args (not important)
volumes:
- /Users/me/temp:/temp
volumes:
postgresql:
driver_opts:
type: none
device: /Users/me/postgresql
o: bind
If I do docker-compose -f docker-compose.yml up -d local-db, a container for it starts up automatically and I find that /Users/me/postgresql on the host machine (Mac OSX) binds correctly to /docker-entrypoint-initdb.d with content synced.
However, if I do docker-compose -f docker-compose.yml up --build -d buggy-service, a container does not start up automatically.
Question: How do I get buggy-service to behave like local-db, i.e., start up automatically with the required volume mounted?
Here's the stripped down version of Dockerfile.test referenced by buggy-service:
FROM microsoft/dotnet:2.1-sdk-alpine AS buggy-image
# Bunch of ARG definitions (not important)
VOLUME /temp
# other stuff (not important)
ENTRYPOINT ["/bin/bash"]
# Other FROMs
Edit 1
A bit more info about what I’m trying to achieve...
The buggy-container I’m trying to get working runs .Net Core as the base image. Its purpose is to run dotnet test and generate coverage reports, which can then be consumed in the host, which may either be a local dev machine or a build server (in this case, BitBucket pipelines).
... followed by docker run -dit --name buggy-container buggy-image
This command creates a new container, not based on anything in the compose yml file. Without a volume specification, it will only get an anonymous volume since you've defined the volume in the Dockerfile (I tend to recommend against defining a volume there). You can see the anonymous volumes with a docker volume ls command, they'll be the ones with a long unique id and no reference to what they belong to.
To define a host volume from docker run, you need the -v flag:
docker run -dit -v /Users/me/temp:/temp --name buggy-container buggy-image
From your now changed question, you have a new issue. Your container specifies a single command to run in the entrypoint:
ENTRYPOINT ["/bin/bash"]
When bash runs, it reads input from stdin. When that input ends, like when you run a container with no input attached, bash will exit. When the process your container runs exits, the container exits. From the details available, I can't tell you what that command should be, but a good starting point is to look at other images on docker hub that perform a similar task that you're trying to run, and look at the Dockerfile they use (many hub images point back to a GitHub repo with the full source).
The project is currently running in the background from this command:
docker-compose up -d
I need to make two changes to their docker-compose.yml:
Add a new container
Update a previous container to have a link to the new container
After changes are made:
NOTE the "<--" arrows for my changes
web:
build: .
restart: always
command: ['tini', '--', 'rails', 's']
environment:
RAILS_ENV: production
HOST: example.com
EMAIL: admin#example.com
links:
- db:mongo
- exim4:exim4.docker # <-- Add link
ports:
- 3000:3000
volumes:
- .:/usr/src/app
db:
image: mongo
restart: always
exim4: # <-------------------------------- Add new container
image: exim4
restart: always
ports:
- 25:25
environment:
EMAIL_USER: user#example.com
EMAIL_PASSWORD: abcdabcdabcdabcd
After making the changes, how do I apply them? (without destroying anything)
I tried docker-compose down && docker-compose up -d but this destroyed the Mongo DB container... I cannot do that... again... :sob:
docker-compose restart says it won't recognize any changes made to docker-compose.yml
(Source: https://docs.docker.com/compose/reference/restart/)
docker-compose stop && docker-compose start sounds like it'll just startup the old containers without my changes?
Test server:
Docker version: 1.11.2, build b9f10c9/1.11.2
docker-compose version: 1.8.0, build f3628c7
Production server is likely using older versions, unsure if that will be an issue?
If you just run docker-compose up -d again, it will notice the new container and the changed configuration and apply them.
But:
(without destroying anything)
There are a number of settings that can only be set at container startup time. If you change these, Docker Compose will delete and recreate the affected container. For example, links are a startup-only option, so re-running docker-compose up -d will delete and recreate the web container.
this destroyed the Mongo DB container... I cannot do that... again...
db:
image: mongo
restart: always
Add a volumes: option to this so that data is stored outside the container. You can keep it in a named volume, possibly managed by Docker Compose, which has some advantages, but a host-system directory is probably harder to accidentally destroy. You will have to delete and restart the container to change this option. But note that you will also have to delete and restart the container if, for example, there is a security update in MongoDB and you need a new image.
Your ideal state here is:
Actual databases (like your MongoDB container) store data in named volumes or host directories
Applications (like your Rails container) store nothing locally, and can be freely destroyed and recreated
All code is in Docker images, which can always be rebuilt from source control
Use volumes as necessary to inject config files and extract logs
If you lose your entire /var/lib/docker directory (which happens!) you shouldn't actually lose any state, though you will probably wind up with some application downtime.
Just docker-compose up -d will do the job.
Output should be like
> docker-compose up -d
Starting container1 ... done
> docker-compose up -d
container1 is up-to-date
Creating container2 ... done
As a side note, docker-compose is not really for production. You may want to consider docker swarm.
the key here is that up is idempotent.
if you update configuration in docker-compose.yaml
docker compose up -d
If compose is building images before run it, and you want to rebuild them:
docker compose up -d --build
I have a Node.js web-application that connects to a Neo4j database. I would like to encapsulate these in a single Docker image (using also a Neo4j Docker container), but I'm a docker novice and can't seem to figure this out. What's the recommended way to do it in the latest Docker versions?
My intuition would be to run the Neo4j container nested inside the app container. But from what I've read, I think the supported / recommended approach is to link the containers together. What I need is pretty well illustrated in this image. But the article where the image comes from isn't clear to me. Anyway, it's using the soon-to-be-deprecated legacy container linking, while networking is recommended these days. A tutorial or explanation would be much appreciated.
Also, how does docker-compose fit into all this?
Running a container within another container would imply to run a Docker engine within a Docker container. This is referenced as dind for Docker-in-Docker and I would strongly advise against it. You can search 'dind' online and discover why in most cases it is a bad idea, but as it is not the main object of your question I won't extend this subject any further.
Running both a node.js process and a neo4j process in the same container
While most people will tell you to refrain yourself from running more than one process within a Docker container, nothing prevents you from doing so. If you want to follow this path, take a look at the Using Supervisor with Docker from the Docker documentation website, or at the Phusion baseimage Docker image.
Just be aware that this way of doing things will make your Docker image more and more difficult to maintain over time.
Linking containers
As you found out, keeping Docker images as simple as you can (i.e: running one and only one app within a Docker container) will make your life easier on the long term.
Linking containers together is trivial when both containers run on the same Docker engine. It is just a matter of:
having your neo4j container expose the port its service listens on
running your node.js container with the --link <neo4j container name>:<alias> option
within the node.js application configuration, set the neo4j host to the <alias> hostname, docker will take care of forwarding that connection to the IP it assigned to the neo4j container
When you want to run those two containers on different hosts, things get more difficult.
With Docker Compose, you have to use the link: key to define your links
The new Docker network feature
You also discovered that linking containers won't be supported in the future and that the new way of making multiple Docker containers communicate is to create a virtual network and attach those 2 containers to that network.
Here's how to proceed:
docker network create mynet
docker run --detach --name myneo4j --net mynet neo4j
docker run --detach --name mynodejs --net mynet <your nodejs image>
Your node application configuration should then use myneo4j as the host to connect to.
To tell Docker Compose to use the new network feature, you would have to use the --x-networking option. Also you would not use the links: key.
Using the new networking feature also means that you won't be able to define any alias for the db. As a result you have to use the container name. Beware that unless you use the container_name: key in your docker-compose.yml file, Compose will create container names based on the directory which contains your docker-compose.yml file, the service name as found in the yml file and a number.
For instance, the following docker-compose.yml file, if within a directory named "foo" would create two containers named foo_web_1 and foo_db_1:
web:
build: .
ports:
- "8000:8000"
db:
image: postgres
when started with docker-compose --x-networking up, the web app configuration should then use foo_db_1 as the db hostname.
While if you use container_name:
web:
build: .
ports:
- "8000:8000"
db:
image: postgres
container_name: mydb
when started with docker-compose --x-networking up, the web app configuration should then use mydb as the db hostname.
Example of using Docker Compose to run a web app using nodeJS and neo4j
In this example, I will show how to dockerize the example app from github project aseemk/node-neo4j-template which uses nodejs and neo4j.
I assume you already have Docker 1.9.0+ and Docker Compose 1.5+ installed.
This project will use 2 docker containers, one to run the neo4j database and one to run the nodeJS web app.
Dockerizing the web app
We need to build a Docker image from which Docker compose will run a container. For that, we will write a Dockerfile.
Create a file named Dockerfile (mind the capital D) with the following content:
FROM node
RUN git clone https://github.com/aseemk/node-neo4j-template.git
WORKDIR /node-neo4j-template
RUN npm install
# ugly 20s sleep to wait for neo4j to initialize
CMD sleep 20s && node app.js
This Dockerfile describes the steps the Docker engine will have to follow to build a docker image for our web app. This docker image will:
be based on the official node docker image
clone the nodeJS example project from Github
change the working directory to the directory containing the git clone
run the npm install command to download and install the nodeJS app dependencies
instruct docker which command to use when running a container of that image
A quick review of the nodeJS code reveals that the author allows us to configure the URL to use to connect to the neo4j database using the NEO4J_URL environment variable.
Dockerizing the neo4j database
Well people took care of that for us already. We will use the official Docker image for neo4j which can be found on the Docker Hub.
A quick review of the readme tells us to use the NEO4J_AUTH environment variable to change the neo4j password. And setting this variable to none will disable the authentication all together.
Setting up Docker Compose
In the same directory as the one containing our Dockerfile, create a docker-compose.yml file with the following content:
db:
container_name: my-neo4j-db
image: neo4j
environment:
NEO4J_AUTH: none
web:
build: .
environment:
NEO4J_URL: http://my-neo4j-db:7474
ports:
- 80:3000
This Compose configuration file describes 2 services: db and web.
The db service will produce a container named my-neo4j-db from the official neo4j docker image and will start that container setting up the NEO4J_AUTH environment variable to none.
The web service will produce a container named at docker compose discretion using a docker image built from the Dockerfile found in the current directory (build: .). It will start that container setting up the environment variable NEO4J_URL to http://my-neo4j-db:7474 (note how we use here the name of the neo4j container my-neo4j-db). Furthermore, docker compose will instruct the Docker engine to expose the web container's port 3000 on the docker host port 80.
Firing it up
Make sure you are in the directory that contains the docker-compose.yml file and type: docker-compose --x-networking up.
Docker compose will read the docker-compose.yml file, figure out it has to first build a docker image for the web service, then create and start both containers and finally will provide you with the logs from both containers.
Once the log shows web_1 | Express server listening at: http://localhost:3000/, everything is cooked and you can direct your Internet navigator to http://<ip of the docker host>/.
To stop the application, hit Ctrl+C.
If you want to start the app in the background, use docker-compose --x-networking up -d instead. Then in order to display the logs, run docker-compose logs.
To stop the service: docker-compose stop
To delete the containers: docker-compose rm
Making neo4j storage persistent
The official neo4j docker image readme says the container persists its data on a volume at /data. We then need to instruct Docker Compose to mount that volume to a directory on the docker host.
Change the docker-compose.yml file with the following content:
db:
container_name: my-neo4j-db
image: neo4j
environment:
NEO4J_AUTH: none
volumes:
- ./neo4j-data:/data
web:
build: .
environment:
NEO4J_URL: http://my-neo4j-db:7474
ports:
- 80:3000
With that config file, when you will run docker-compose --x-networking up, docker compose will create a neo4j-data directory and mount it into the container at location /data.
Starting a 2nd instance of the application
Create a new directory and copy over the Dockerfile and docker-compose.yml files.
We then need to edit the docker-compose.yml file to avoid name conflict for the neo4j container and the port conflict on the docker host.
Change its content to:
db:
container_name: my-neo4j-db2
image: neo4j
environment:
NEO4J_AUTH: none
volumes:
- ./neo4j-data:/data
web:
build: .
environment:
NEO4J_URL: http://my-neo4j-db2:7474
ports:
- 81:3000
Now it is ready for the docker-compose --x-networking up command. Note that you must be in the directory with that new docker-compose.yml file to start the 2nd instance up.
I'm a newbie to docker.
I want to create an image with my web application. I need some application server, e.g. wlp, then I need some database, e.g. postgres.
There is a Docker image for wlp and there is a Docker image for postgres.
So I created following simple Dockerfile.
FROM websphere-liberty:javaee7
FROM postgres:latest
Now, maybe it's a lame, but when I build this image
docker build -t wlp-db .
run container
docker run -it --name wlp-db-test wlp-db
and check it
docker exec -it wlp-db-test /bin/bash
only postgres is running and wlp is not even there. Directory /opt is empty.
What am I missing?
You need to use docker-compose file. This makes you bind two different containers that are running two different images. One holding your server and the other the database services.
Here is the Example of a nodejs server container working with a mongodb container
First of All, i write the docker file to configure the main container
FROM node:latest
RUN mkdir /src
RUN npm install nodemon -g
WORKDIR /src
ADD app/package.json package.json
RUN npm install
EXPOSE 3000
CMD npm start
Then i Create the docker-compose file to configure both containers and link them
version: '3' #docker-compose version
services: #Services are your different containers
node_server: #First Container, containing nodejs serveer
build: . #Saying that all of my source files are at the root path
volumes: #volume are for hot reload for exemple
- "./app:/src/app"
ports: #binding the host port with the machine
- "3030:3000"
links: #Linking the first service with the named mongo service (see below)
- "mongo:mongo"
mongo: #declaration of the mongodb container
image: mongo #using mongo image
ports: #port binding for mongodb is required
- "27017:27017"
I hope this helped.
Each service should have its own image/dockerfile. You start multiple containers and connect them over a network to be able to communicate.
If you wish to compose multiple containers in one file, check out docker-compose, which is made for just that!
You can't FROM multiple times in one file and expect both processes to run
That's creating each layer from the images, but only one entry point for the process, which is Postgres, because it's second
This pattern is typically only done when you have some "setup" docker image, then a "runtime" image on top of it.
https://docs.docker.com/engine/userguide/eng-image/multistage-build/#use-multi-stage-builds
Also what you're trying to do is not very adherent to "microservices". Run the database separately from your application. Docker Compose can assist you with that, and almost all the examples on dockers website use Postgres with some web app
Plus, you're starting an empty database and server. You need to copy at least a WAR, for example, to run your server code