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Merge pull request #91 from bigchaindb/minor-change-to-docs-on-docker

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Changed Docker instructions slightly in docs
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Troy McConaghy 2016-02-27 12:10:14 +01:00
commit 4a0a92645d
1 changed files with 12 additions and 18 deletions
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docs/source/installing.md
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@ -91,7 +91,7 @@ For those who like using Docker and wish to experiment with BigchainDB in
non-production environments, we currently maintain a `dockerfile` that can be non-production environments, we currently maintain a `dockerfile` that can be
used to build an image for `bigchaindb`, along with a `docker-compose.yml` file used to build an image for `bigchaindb`, along with a `docker-compose.yml` file
to manage a "standalone node", consisting mainly of two containers: one for to manage a "standalone node", consisting mainly of two containers: one for
RethinkDB, and another for `bigchaindb`. RethinkDB, and another for BigchainDB.
Assuming you have `docker` and `docker-compose` installed, you would proceed as Assuming you have `docker` and `docker-compose` installed, you would proceed as
follows. follows.
@ -112,27 +112,21 @@ stored on your host machine under ` ~/.bigchaindb_docker/config`:
$ docker-compose run --rm bigchaindb bigchaindb configure $ docker-compose run --rm bigchaindb bigchaindb configure
``` ```
You can load test transactions via: You can then start it up (in the background, as a daemon) using:
```text
$ docker-compose up -d
```
then you can load test transactions via:
```text ```text
$ docker-compose run --rm bigchaindb bigchaindb-benchmark load $ docker-compose run --rm bigchaindb bigchaindb-benchmark load
``` ```
You should then be able to start `bigchaindb`, via: If you're on Linux, you can probably view the RethinkDB dashboard at:
```text
$ docker-compose run --rm bigchaindb bigchaindb start
```
or [http://localhost:58080/](http://localhost:58080/)
```text
$ docker-compose up
```
You should be able to view the RethinkDB dashboard at: If that doesn't work, then replace `localhost`
```text with the IP or hostname of the machine running the Docker engine.
http://docker_host:58080/ If you are running docker-machine (e.g.: on Mac OS X) this will be the
```
where `docker_host` is the IP or hostname of the machine running the Docker
engine. If you are developing on Linux, this most likely will be `localhost`,
whereas if you are running docker-machine (e.g.: on Mac OS X) this will be the
IP of the Docker machine (`docker-machine ip machine_name`). IP of the Docker machine (`docker-machine ip machine_name`).