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Update documentation
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@ -17,7 +17,7 @@ WORKDIR /data
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ENV BIGCHAINDB_CONFIG_PATH /data/.bigchaindb
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ENV BIGCHAINDB_CONFIG_PATH /data/.bigchaindb
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ENV BIGCHAINDB_SERVER_BIND 0.0.0.0:9984
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ENV BIGCHAINDB_SERVER_BIND 0.0.0.0:9984
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ENV BIGCHAINDB_API_ENDPOINT http://0.0.0.0:9984/api/v1
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ENV BIGCHAINDB_API_ENDPOINT http://bigchaindb:9984/api/v1
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ENTRYPOINT ["bigchaindb", "--experimental-start-rethinkdb"]
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ENTRYPOINT ["bigchaindb", "--experimental-start-rethinkdb"]
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@ -111,7 +111,104 @@ If it's the first time you've run `bigchaindb start`, then it creates the databa
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**NOT for Production Use**
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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 non-production environments, we currently maintain a `dockerfile` that can be used to build an image for `bigchaindb`.
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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
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```text
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docker pull bigchaindb/bigchaindb:latest
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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 on your host machine under ` ~/bigchaindb_docker/.bigchaindb`:
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```text
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$ docker run --rm -v "$HOME/bigchaindb_docker:/data" -ti \
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bigchaindb/bigchaindb:latest configure
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Generating keypair
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Configuration written to /data/.bigchaindb
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Ready to go!
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```
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Let's analyze the command:
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- `docker run` tell docker to run some image
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- `--rm` remove the container once we are done
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- `-v "$HOME/bigchaindb_docker:/data` map the host directory
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`$HOME/bigchaindb_docker` to the container directory `/data`,
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this allow us to have the data persisted on the host machine,
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you can read more in the [official Docker
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documentation](https://docs.docker.com/engine/userguide/containers/dockervolumes/#mount-a-host-directory-as-a-data-volume)
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- `-t` allocate a pseudo-tty
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- `-i` keep STDIN open even if not attached
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- `bigchaindb/bigchaindb:latest` the image to use
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- `configure` the sub-command to execute
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After configuring the system, you can run BigchainDB with the following
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command:
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```text
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$ 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:latest 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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- `--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 containeris to use the `-P` (or
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`--publish-all`). 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 test with Docker
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After BigchainDB is running in the docker container named `bigchaindb`, we can
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start another container and run the load test against the first one.
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First, make sure the container `bigchaindb` is running, you can check this by running:
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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` running.
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Now, run a new container and link it to `bigchaindb` to run the load test.
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```text
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$ docker run --rm -v "$HOME/bigchaindb_docker:/data" -ti \
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--link bigchaindb \
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bigchaindb/bigchaindb:test load
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```
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Note that load test transactions accepts also a `-m` option to enable
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multiprocessing and make use of all the cores in the host machine.
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You can see BigchainDB processing your transactions running:
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```text
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$ 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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Assuming you have `docker` installed, you would proceed as follows.
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@ -125,38 +222,5 @@ Build the Docker image:
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$ docker build --tag local-bigchaindb .
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$ docker build --tag local-bigchaindb .
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```
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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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Now you can use your own image to run BigchainDB containers.
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the `-y` option to accept all the default values. The configuration file will
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be stored on your host machine under ` ~/bigchaindb_docker/.bigchaindb`:
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```text
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$ docker run --rm -v "$HOME/bigchaindb_docker:/data" -ti local-bigchaindb -y configure
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Generating keypair
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Configuration written to /data/.bigchaindb
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Ready to go!
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```
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You can then start it up (in the background, as a daemon) using:
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```text
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$ BIGCHAIN_CID=$(docker run -d -v "$HOME/bigchaindb_docker:/data" local-bigchaindb)
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```
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then you can load test transactions (using the `-m` option to enable using all
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the cores in the host machine) via:
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```text
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$ docker exec -d $BIGCHAIN_CID load -m
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```
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You can see BigchainDB processing your transactions running:
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```text
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$ docker logs -f $BIGCHAIN_CID
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```
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If you're on Linux, you can probably view the RethinkDB dashboard at:
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[http://localhost:8080/](http://localhost:8080/)
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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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