Riak TS is a timeseries database special-built for storage and analysis of timeseries data that is architected on the foundation of the Riak NoSQL database. It has been tailor-made to provide the same operational simplicity and flexibility of Riak KV but with special emphasis on dealing with time-based data.
Starting a Riak TS cluster
You can start a simple Riak TS cluster using
docker-compose. Create a working directory named
riak and inside that directory create a file named
docker-compose.yml based on the following example.
coordinator node is the first one to be started in the cluster and is the node to which all the others will join. It's also the only container exposed on a predictable port.
version: "2" services: coordinator: image: basho/riak-ts ports: - "8087:8087" - "8098:8098" environment: - CLUSTER_NAME=riakts labels: - "com.basho.riak.cluster.name=riakts" volumes: - schemas:/etc/riak/schemas member: image: basho/riak-ts ports: - "8087" - "8098" labels: - "com.basho.riak.cluster.name=riakts" links: - coordinator depends_on: - coordinator environment: - CLUSTER_NAME=riakts - COORDINATOR_NODE=coordinator volumes: schemas: external: false
If you bring up the cluster now, you'll get a single-node cluster.
$ docker-compose up -d coordinator
When the cluster has started, open Riak Explorer in the browser by navigating to localhost:8098/admin/.
You can now create bucket types and Riak TS tables using the explorer web UI. There is also a comprehensive REST API your applications can leverage when interacting with this Dockerized cluster.
Scaling the Cluster
You can scale the cluster to multiple nodes by using
docker-compose and scaling the
member service to the number of nodes you want.
$ docker-compose scale member=4
The above will scale the cluster to 5 total nodes (1 coordinator + 4 members). If you refresh the OPS page in Riak Explorer you should see the new nodes (they'll be using the Docker internal IPs which are 172.18.0.X).
Volumes for data
The default configuration above creates an ephemeral cluster--one you throw away when your task is complete. In order to persist data from one run to the next, provide a volume for the image that mounts to the container path
Consult the official
docker-compose reference for more information.
To discover the HOST:PORT values needed to connect to the Riak nodes running in the Dockerized cluster, you can use a combination of
docker inspect and
Set an environment variable to hold the HOST:PORT pairs.
$ export RIAK_HOSTS=$(echo $(docker inspect $(docker ps -q -f label=com.basho.riak.cluster.name=riakts) | jq -r '. | "localhost:" + .NetworkSettings.Ports."8087/tcp".HostPort') | tr ' ' ',')
Note: if you change the label
com.basho.riak.cluster.name in the
docker-compose configuration, you'll need to make sure the
docker ps filter in the above command reflects this change.
Bucket type bootstrapping
Automatic loading of bucket types is supported in this image. It supports both TS buckets and KV data types by looking for files inside the
/etc/riak/schemas/ directory, which can be mounted as a volume. If a file ends with a
.sql it's assumed to be a SQL
CREATE TABLE statement that creates a TS table. If the file ends in
.dt it's assumed to be a KV data type definition. The
basename of the file (minus the
.dt suffix) will be used as the bucket name.
To use the schema bootstrapping with
docker-compose you need to set up a volume named "schemas" that contains all the schema files. This volume will be mounted in the container at path
/etc/riak/schemas/. The following will create a volume named
schemas and copy the contents of
$(pwd)/schemas/* to the volume. When
docker-compose up is run, the sql and dt files will be translated into
riak-admin bucket type create and activate commands based on the
basename of the file.
$ docker run --rm -it -v schemas:/etc/riak/schemas -v $(pwd)/schemas:/tmp/schemas alpine cp /tmp/schemas/* /etc/riak/schemas/
can we take a look at Dockerfile?
is there any image based on alpine?
README has been updated with some basic instructions. More detailed information is forthcoming in a blog post I'm working on.
i also want to know how to use this image
Can you please add some description? like how to start using it?