Visualizing AWS IoT Button data

I recently wrote two introductory posts about configuring the Amazon IoT button and using AWS SNS to receive SMS and email notifications on click.
To log the clicks and battery voltage over time, the payload sent with every click can be time-stamped and stored in a database. A script can be used then to query the database, retrieves the data and plot the time series of this data (using one of many d3js libraries, for example, (Will write about the script later in this post)
Some posts about the Dash button speculated that the battery would last for over 1000 clicks. So far, after >150 clicks the battery voltage shows no signs of decreasing.

At a starting point, we have a fully configured Amazon IoT button with uploaded certificates. We tested that it works and can send SMS notifications on click. We know that the button publishes the following message (payload) in the ‘iotbuttons’ topic of the IoT message broker:

  "serialNumber": "G030JF058432MLDB",
  "batteryVoltage": "1739mV",
  "clickType": "LONG"

We need to time-stamp this data and store it in a database. Let’s use Amazon’s NoSQL DynamoDB database to store and query the time-series data.

Create new DynamoDB table to store data

Go to the DynamoDB dashboard and click Create table button. The table requires a name and a primary key. Let’s name the table iot-buttons (we might need to log more than one button for a potential application). While the name choice is rather arbitrary, the partition key is important – elements with different partition keys should have uniform access frequency (more about partition keys). In our case, the serial number is a good partition key. Additionally, we can use a timestamp as a sort key to search within a partition. Both the serial number and the timestamp are strings. After specifying the keys, we can create a table using default remaining settings.

device_id (String)
timestamp (String)

Create IoT rule

With the table created and keys specified, we now can create a rule in the AWS IoT console to write the data into DynamoDB on click. Clicking on the Create resource and choosing the Create a rule  opens a dialog window for the new rule. Name and Description fields are again arbitrary. The SQL query should capture all messages sent by (multiple) buttons to our MQTT broker without additional conditions. This is achieved by:

SELECT * FROM 'iotbutton/+'

We need to select the DynamoDB Action from the drop-down menu to insert  messages into a database. This selection extends the dialog by several fields. First, choose a table name  from the drop-down list (there is also an option to create new table, but we have taken care of this already). We decided to use the serial number as a hash key. It is transmitted in the “serialNumber” field of the payload, so we will specify ${serialNumber} as a hash key value. To specify time-stamp as a range key value,  type ${timestamp()} in the appropriate field. Finally, the payload field can be just data, meaning that the entire payload will be stored in the database.

The last step is to specify the role. Luckily, we can click on Create new role and simply specify role name. IoT interface will take care of the rest and create a new IAM role which allows writing data into a particular database.

Click Add action to add this DynamoDB action to the new rule (a rule can have several actions) and Create rule to complete the process. Pressing AWS IoT button now should create a new record in the DynamoDB table with the following content:

         batteryVoltage String: 1760mV
         clickType String: LONG
         serialNumber String: G030JF05XXXXXXXX
device_id String: G030JF05XXXXXXXX
timestamp String:1474212345678

Every click is now recorded into the database. Let’s now look at the ways to retrieve the data and visualize voltage and clicks as a function of  time.

To be continued…