On Windows, where docker is running on oracle virtualBox, is there an option to persist data of mongodb using volume?
I read on official documentation of docker hub that its not possible.
for MySQL, its possible and I am able to use its default implementation (where I cannot trace the volume, still its ok)
Of course it's possible.
I'm assuming you're using Docker Toolbox. If so then directory C:\Users is mounted inside the boo2docker VM as /c/Users. Per MongoDB documentation that means the command below won't work:
docker run --name some-mongo -v /c/Users/your_user_name/MongoDB_Data:/data/db -d mongo
However, there is nothing stopping you from mounting a directory that exists solely inside the VM, like this:
docker run --name some-mongo -v /src/mongodb/data:/data/db -d mongo
Furthermore, MongoDB Docker image documentation says nothing about named volumes, so the following should also work:
docker volume create mongodb_data
docker run --name some-mongo -v mongodb_data:/data/db -d mongo
Related
I'm very new to using docker and I've created a postgres container using
docker run --name mytrainingdb -e POSTGRES_PASSWORD=mysecretpassword -d postgres. Then I connected to it with docker exec -it <container-id> bash and then psql.
Then I stop the container.
My query is, what do I do reconnect to the same database? I tried to run same docker run command, but it says the name 'mytrainingdb' is used, which means it is trying to create it afresh, which is not what I want. Hope my expectation is right, as in when I restart my laptop or resume work I can just restart the same container and my data/config would be preserved?
The documentation also mentions that we can link a host directory to volume of pg container to have the stored data accessible to us, but I'm ok with docker managing my storage for that database.
You will have error when you try to re-run the same command, because docker is trying to create a new container with same name as the previous one "mytrainingdb". If you close docker and reopen it you will still find your container , but its not running , you can start it again with docker start mytrainingdb or you can remove it with docker rm mytrainingdb .
However , dont restart docker because you want to create a new container with the same name! If you want to start a new container with the same name and your container is still running you can first stop it with docker stop mytrainingdb and docker rm mytrainingdb or you can just do docker rm -f mytrainingdb (this will remove you running container with force ) and then create a new container..
As for the volumes ,you just created one by default which is named is kind of hash , and its found at volumes/var/lib/docker/volumes/ .Because generally containers such PostgreSQL, or databases in general persists volumes. The volume gets created when running the container and is handy to save persistent data, whether you start the container with -v or not.
The volume you talked about in your question , is called mounted volume , is when you basically just bind a certain directory or file from the host (outside) to inside the container
docker run -v /hostdir:/containerdir in your case docker run -v /hostdir:/var/lib/postgresql/data
If you restart docker or your computer running containers won't be automatically restarted. You can start your container again with docker start mytrainingdb (related question), then connect with your docker exec command.
(one tip: instead of running bash, then psql, you can directly run psql, e.g. docker exec -it mytrainingdb psql --user postgres)
Your understanding of data persistence is correct, docker will manage the data and it will still be around.
From the postgres image documentation
There are several ways to store data used by applications that run in Docker containers. We encourage users of the postgres images to familiarize themselves with the options available, including:
Let Docker manage the storage of your database data by writing the database files to disk on the host system using its own internal volume management. This is the default and is easy and fairly transparent to the user. The downside is that the files may be hard to locate for tools and applications that run directly on the host system, i.e. outside containers.
You can add --rm argument so that whenever you stop the container manually, or container stops for any reasons (his task is done or it fails), it will remove that container.
In your case, you can use this:
docker run --name mytrainingdb --rm -e POSTGRES_PASSWORD=mysecretpassword -d postgres
New to docker and don't fully understand the workaround. I am trying to create a docker container to deploy a MongoDB instance. Since MongoDB requires a dbpath for setup, I am providing the dbpath as a volume. The problem I face is once the container is deleted I also lose the volume.
Now, how do I explicitly define the volume to localsystem or to a mount point.
docker run -d -p 2000:27017 -v /data/db --name mongoContainer mongo:4.2
If I am not wrong all the MongoDB collections created are being stored inside dbpath /data/db and once the container is deleted I lose the collections as well.
Here you define your local volume only.
docker run -d -p 2000:27017 -v /data/db --name mongoContainer mongo:4.2
You MUST map your local directory to docker image folder
docker run -d -p 2000:27017 -v /data/db:/inside/mongo_image/path --name mongoContainer mongo:4.2
Always -v /your/local/directory:/docker/directory
/inside/mongo_image/path this should be the right path where mongodb will look for files.
I wish to store my persists data in my local D:\dockerData\postgres9.6. Below is my docker command
docker pull postgres
docker run -d -v /d/dockerData/postgres9.6:/var/lib/postgresql/data -p 5432:5432 postgres
It successful create a container and I can use pgAdmin to access and create database.
But I found out that there is no file in my D:\dockerData\postgres9.6. I exec bash into the container, there is at least 20+ files inside /var/lib/postgresql/data.
Anyone can point out which part goes wrong?
It depends what kind of Docker you are using on Windows:
Docker Toolbox with VirtualBox: only C:\Users\mylogin is shared by default. D:\ is not mounted.
Docker for Windows with HyperV: only C:\ is mounted by default. Make sure D:\ is a shared drive: see image
I'm running a dockerized mongo container.
I'd like to create a mongo image with some initialized data.
Any ideas?
A more self-contained approach:
create javascript files that initialize your database
create a derived MongoDB docker image that contains these files
There are many answers that use disposable containers or create volumes and link them, but this seems overly complicated. If you take a look at the mongo docker image's docker-entrypoint.sh, you see that line 206 executes /docker-entrypoint-initdb.d/*.js files on initialization using a syntax: mongo <db> <js-file>. If you create a derived MongoDB docker image that contains your seed data, you can:
have a single docker run command that stands up a mongo with seed data
have data is persisted through container stops and starts
reset that data with docker stop, rm, and run commands
easily deploy with runtime schedulers like k8s, mesos, swarm, rancher
This approach is especially well suited to:
POCs that just need some realistic data for display
CI/CD pipelines that need consistent data for black box testing
example deployments for product demos (sales engineers, product owners)
How to:
Create and test your initialization scripts (grooming data as appropriate)
Create a Dockerfile for your derived image that copies your init scripts
FROM mongo:3.4
COPY seed-data.js /docker-entrypoint-initdb.d/
Build your docker image
docker build -t mongo-sample-data:3.4 .
Optionally, push your image to a docker registry for others to use
Run your docker image
docker run \
--name mongo-sample-data \
-p 27017:27017 \
--restart=always \
-e MONGO_INITDB_DATABASE=application \
-d mongo-sample-data:3.4
By default, docker-entrypoint.sh will apply your scripts to the test db; the above run command env var MONGO_INITDB_DATABASE=application will apply these scripts to the application db instead. Alternatively, you could create and switch to different dbs in the js file.
I have a github repo that does just this - here are the relevant files.
with the latest release of mongo docker , something like this works for me.
FROM mongo
COPY dump /home/dump
COPY mongo_restore.sh /docker-entrypoint-initdb.d/
the mongo restore script looks like this.
#!/bin/bash
# Restore from dump
mongorestore --drop --gzip --db "<RESTORE_DB_NAME>" /home/dump
and you could build the image normally.
docker build -t <TAG> .
First create a docker volume
docker volume create --name mongostore
then create your mongo container
docker run -d --name mongo -v mongostore:/data/db mongo:latest
The -v switch here is responsible for mounting the volume mongostore at the /data/db location, which is where mongo saves its data. The volume is persistent (on the host). Even with no containers running you will see your mongostore volume listed by
docker volume ls
You can kill the container and create a new one (same line as above) and the new mongo container will pick up the state of the previous container.
Initializing the volume
Mongo initializes a new database if none is present. This is responsible for creating the initial data in the mongostore. Let's say that you want to create a brand new environment using a pre-seeded database. The problem becomes how to transfer data from your local environment (for instance) to the volume before creating the mongo container. I'll list two cases.
Local environment
You're using either Docker for Mac/Windows or Docker Toolbox. In this case you can easily mount a local drive to a temporary container to initialize the volume. Eg:
docker run --rm -v /Users/myname/work/mongodb:/incoming \
-v mongostore:/data alpine:3.4 cp -rp /incoming/* /data
This doesn't work for cloud storage. In that case you need to copy the files.
Remote environment (AWS, GCP, Azure, ...)
It's a good idea to tar/compress things up to speed the upload.
tar czf mongodata.tar.gz /Users/myname/work/mongodb
Then create a temporary container to untar and copy the files to the mongostore. the tail -f /dev/null just makes sure that the container doesn't exit.
docker run -d --name temp -v mongostore:/data alpine:3.4 tail -f /dev/null
Copy files to it
docker cp mongodata.tar.gz temp:.
Untar and move to the volume
docker exec temp tar xzf mongodata.tar.gz && cp -rp mongodb/* /data
Cleanup
docker rm temp
You could also copy the files to the remote host and mounting from there but I tend to avoid interacting with the remote host at all.
Disclaimer. I'm writing this from memory (no testing).
Here is how its done with docker-compose. I use an older image of mongo but the docker-entrypoint.sh accepts *.js and *.sh files for all versions of the image.
docker-compose.yaml
version: '3'
services:
mongo:
container_name: mongo
image: mongo:3.2.12
ports:
- "27017:27017"
volumes:
- mongo-data:/data/db:cached
- ./deploy/local/mongo_fixtures /fixtures
- ./deploy/local/mongo_import.sh:/docker-entrypoint-initdb.d/mongo_import.sh
volumes:
mongo-data:
driver: local
mongo_import.sh:
#!/bin/bash
# Import from fixtures
mongoimport --db wcm-local --collection clients --file /fixtures/properties.json && \
mongoimport --db wcm-local --collection configs --file /fixtures/configs.json
And my monogo_fixtures json files are the product of monogoexport which have the following format:
{"_id":"some_id","field":"value"}
{"_id":"another_id","field":"value"}
This should help those using this without a custom Dockefile, just using the image straight away with the right entrypoint setup right in your docker-compose file. Cheers!
I've found a way that is somehow easier for me.
Say you have a database in a docker container on your server, and you want to back it up, here’s what you could do.
What might differ from your setup to mine is the name of your mongo docker container [mongodb] (default when using elastic_spence). So make sure you start your container first with --name mongodb to match the following steps:
$ docker run \
--rm \
--link mongodb:mongo \
-v /root:/backup \
mongo \
bash -c ‘mongodump --out /backup --host $MONGO_PORT_27017_TCP_ADDR’
And to restore the database from a dump.
$ docker run \
--rm \
--link mongodb:mongo \
-v /root:/backup \
mongo \
bash -c ‘mongorestore /backup --host $MONGO_PORT_27017_TCP_ADDR’
If you need to download the dump from to your server you can use scp:
$ scp -r root#IP:/root/backup ./backup
Or upload it:
$ scp -r ./backup root#IP:/root/backup
P.S: Original source by Tim Brandin available at https://blog.studiointeract.com/mongodump-and-mongorestore-for-mongodb-in-a-docker-container-8ad0eb747c62
Thank you!
I want to make two minor improvements on the official MongoDB docker so that it starts with the --auth enabled and uses a separate data container to store the data. What's the best way to do this?
If all are set, how should I start the shell? Will it be possible for someone without a username and password to access any of the databases available? Which directory should I backup?
EDIT
Apparently, this is not enough:
docker run --name mymongoname1 -v /my/local/dir:/data/db -d -P mongo:latest
OK, so partial answer, because I haven't messed around with docker auth.
Containerising storage is done with a storage container. That's basically a container created off a token instance, with some volumes assigned.
So for elasticsearch (which I know isn't mongo, but it is at least a NoSQL db) I've been using:
docker create -v /es_data:/es_data --name elasticsearch_data es-base /bin/true
Then:
docker run -d -p 9200:9200 --vols-from elasticsearch_data elasticsearch-2.1.0
This connects the container volume to my es container - in this example it passes through a host volume, but you don't actually need to any more, because the container can hold the data in the docker filesystem. (And then I think you can push the data container around too, but I've not got that far!)
If you run ps -a you will see the data container in Created state. Just watch if you're doing a cleanup script that you don't delete it, because unlike running containers, you can freely delete it...