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121 lines
4.3 KiB
Markdown
121 lines
4.3 KiB
Markdown
# Run BigchainDB with Docker
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**NOT for Production Use**
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For those who like using Docker and wish to experiment with BigchainDB in
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non-production environments, we currently maintain a Docker image and a
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`Dockerfile` that can be used to build an image for `bigchaindb`.
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## Pull and Run the Image from Docker Hub
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Assuming you have Docker installed, you would proceed as follows.
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In a terminal shell, pull the latest version of the BigchainDB Docker image using:
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```text
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docker pull bigchaindb/bigchaindb
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```
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then do a one-time configuration step to create the config file; we will use
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the `-y` option to accept all the default values. The configuration file will
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be stored in a file on your host machine at `~/bigchaindb_docker/.bigchaindb`:
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```text
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docker run --rm -v "$HOME/bigchaindb_docker:/data" -ti \
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bigchaindb/bigchaindb -y configure
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Generating keypair
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Configuration written to /data/.bigchaindb
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Ready to go!
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```
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Let's analyze that command:
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* `docker run` tells Docker to run some image
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* `--rm` remove the container once we are done
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* `-v "$HOME/bigchaindb_docker:/data"` map the host directory
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`$HOME/bigchaindb_docker` to the container directory `/data`;
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this allows us to have the data persisted on the host machine,
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you can read more in the [official Docker
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documentation](https://docs.docker.com/engine/userguide/containers/dockervolumes/#mount-a-host-directory-as-a-data-volume)
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* `-t` allocate a pseudo-TTY
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* `-i` keep STDIN open even if not attached
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* `bigchaindb/bigchaindb the image to use
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* `-y configure` execute the `configure` sub-command (of the `bigchaindb` command) inside the container, with the `-y` option to automatically use all the default config values
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After configuring the system, you can run BigchainDB with the following command:
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```text
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docker run -v "$HOME/bigchaindb_docker:/data" -d \
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--name bigchaindb \
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-p "58080:8080" -p "59984:9984" \
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bigchaindb/bigchaindb start
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```
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The command is slightly different from the previous one, the differences are:
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* `-d` run the container in the background
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* `--name bigchaindb` give a nice name to the container so it's easier to
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refer to it later
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* `-p "58080:8080"` map the host port `58080` to the container port `8080`
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(the RethinkDB admin interface)
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* `-p "59984:9984"` map the host port `59984` to the container port `9984`
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(the BigchainDB API server)
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* `start` start the BigchainDB service
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Another way to publish the ports exposed by the container is to use the `-P` (or
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`--publish-all`) option. This will publish all exposed ports to random ports. You can
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always run `docker ps` to check the random mapping.
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You can also access the RethinkDB dashboard at
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[http://localhost:58080/](http://localhost:58080/)
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If that doesn't work, then replace `localhost` with the IP or hostname of the
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machine running the Docker engine. If you are running docker-machine (e.g. on
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Mac OS X) this will be the IP of the Docker machine (`docker-machine ip
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machine_name`).
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### Load Testing with Docker
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Now that we have BigchainDB running in the Docker container named `bigchaindb`, we can
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start another BigchainDB container to generate a load test for it.
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First, make sure the container named `bigchaindb` is still running. You can check that using:
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```text
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docker ps
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```
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You should see a container named `bigchaindb` in the list.
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You can load test the BigchainDB running in that container by running the `bigchaindb load` command in a second container:
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```text
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docker run --rm -v "$HOME/bigchaindb_docker:/data" -ti \
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--link bigchaindb \
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bigchaindb/bigchaindb load
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```
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Note the `--link` option to link to the first container (named `bigchaindb`).
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Aside: The `bigchaindb load` command has several options (e.g. `-m`). You can read more about it in [the documentation about the BigchainDB command line interface](bigchaindb-cli.html).
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If you look at the RethinkDB dashboard (in your web browser), you should see the effects of the load test. You can also see some effects in the Docker logs using:
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```text
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docker logs -f bigchaindb
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```
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## Building Your Own Image
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Assuming you have Docker installed, you would proceed as follows.
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In a terminal shell:
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```text
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git clone git@github.com:bigchaindb/bigchaindb.git
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```
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Build the Docker image:
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```text
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docker build --tag local-bigchaindb .
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```
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Now you can use your own image to run BigchainDB containers.
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