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IoT - It's the thing you want! And so here's a full-stack demo.

This demo shows you how to setup a service on DCOS that

  • streams tweets using the twitter stream API to Kafka
  • processes those streams from Kafka using Spark
  • stores the enriched data into Cassandra
  • and make the data queryable easily via SQL by using Zeppelin

There are presentations about this demo:

Create a DCOS cluster and install the CLI

Follow the instructions here.

  • You'll need enough capacity to run all the services, which may require at least 5 worker nodes
  • SSH access to the cluster
  • Internet access from inside the cluster

When you open the dashboard, follow the instructions to install the DCOS CLI.

Install Cassandra and Kafka

You can either execute ./bin/base-install.sh <your DCOS cluster base URL> or run the commands yourself.

You want to dive in deep and do everything yourself? Then point your DCOS client installation at the correct cluster and execute the commands below.

Configure the DCOS CLI

If you just set up your CLI for the first time, you can probably skip this step.

Use dcos config set core.dcos_url <your DCOS core URL>, e.g. dcos config set core.dcos_url "http://peter-22f-elasticl-1ejv8oa4oyqw8-626125644.us-west-2.elb.amazonaws.com".

Sequence of commands to run with the DCOS CLI

Note: This requires a 1.7 Universe.

# Start DCOS services:
dcos package install marathon-lb
dcos package install cassandra --options=cassandra-options.json
dcos package install kafka --options=kafka-options.json
dcos package install zeppelin

# Check that Cassandra & Kafka are up
dcos cassandra connection
dcos kafka connection

Adjust the configuration

  • Copy etc/config_template.yml to etc/config.yml
  • Create a Twitter account with API keys (see here for details)
  • Insert your credentials into the configuration file

Install the tweet producers/consumers

Execute ./bin/install.sh.

NOTE: This calls a python 3 script with yaml and jinja modules. You can use pip and homebrew to update your system.

brew install python3

pip3 install pyyaml

pip3 install jinja2

Background

The install.sh script uses the ./bin/prepare-config.py script to convert YAML configuration files into JSON digestible by Marathon.

It produces a Marathon group that is then sent to the Marathon REST API for deployment:

  • target/demo.json for the tweet producers and the tweet consumer.

The prepare-config.py supports some special processing instructions inside of your YAML files to

  • include other files (!include)
  • use configuration values (!cfg_str, !cfg_path)
  • or to loop over configuration and apply a template (!map)

Execute some SQL queries with Zeppelin

Once Zeppelin is running, navigate to the UI and import the notebook from this link:

https://raw.githubusercontent.com/mesosphere/iot-demo/master/zeppelin-notebook.json

You'll need to add the following dependencies to Spark from the interpreter tab by clicking on "edit" in the spark section of the Interpreter, and then adding these values to the "artifact" field under the "Dependecies" section that will appear at the bottom:

com.google.guava:guava:16.0.1
com.datastax.spark:spark-cassandra-connector_2.10:1.6.0-M2

NOTE: if /service/zeppelin is showing as Disconnected (and hence can’t load the notebook), add the following labels to the zeppelin service and restart:

HAPROXY_0_VHOST = [elb hostname]

HAPROXY_GROUP = external

You can get the ELB hostname from the CCM “Public Server” link. Once Zeppelin restarts, this should allow you to use that link to reach the Zeppelin GUI in “connected” mode.

Use manually started shells to examine the data

SSH into one of the masters or worker nodes in the cluster, and try cqlsh:

$ docker run -ti cassandra:2.2.5 cqlsh node-0.cassandra.mesos
Connected to cassandra at node-0.cassandra.mesos:9042.
[cqlsh 5.0.1 | Cassandra 2.2.5 | CQL spec 3.3.1 | Native protocol v4]
Use HELP for help.
cqlsh> select * from twitter.tweets limit 10;
...

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