This is a step-by-step guide to create and run a stream which collects data from and forwards output to Amazon S3 buckets.
The company Acme EV Charging provides a frictionless electric vehicle charging service.
When their customers use the service to charge their cars, the volume, measured in kWh, is logged. The customers are then billed for the total volume on a monthly basis.
The logged Amazon S3 sessions are stored as CSV files in the relevant bucket.
Fields in the CSV format:
| Field | Description |
|---|---|
type | A string that contains the value |
date | A string that contains the date when the usage was logged. |
kWhCharged | A string that contains the logged amount (kWh) for a partial or a complete session. |
userTechnicalId | A unique string that identifies the customer that is bound to the session. |
chargingPlace | A string that identifies the charging location. |
The stream that you will create in this tutorial performs the following tasks:
- Collect and decode the CSV files that are available in the S3 bucket
- Route the records marked
Completeto the Data Aggregator function. The ones markedStartandPartialare simply written to a log file. - Aggregate records based on
chargingPlace(charging location),kWhCharged(logged energy consumption) andDate(month) - Forward the records to the billing system, emulated by storing the output in an Amazon S3 bucket
Step-by-Step Guide
Follow the instructions in the numbered tabs below.