[IOTDB-516] Apache IoTDB trigger module for streaming cumputing

• Type: Wish
• Status: Open
• Priority: Major
• Resolution: Unresolved
• Component/s: Core/Engine
• Labels: IoTDB gsoc2020 mentor
• Assignee: Unassigned
• Reporter: Xiangdong Huang
• Created: 25/Feb/20 03:06
• Updated: 27/Mar/20 14:20

Description

IoTDB is a time-series data management system and the data usually comes in a streaming way.

In the IoT area, when a data point comes, a trigger can be called because of the following scenario:

• (single data point calculation) the data point is an outlier point, or the data value reaches a warning threshold. IoTDB needs to publish the data point to those who subscribed the event.
• (multiply time series data point calculation) a device sends several metrics data to IoTDB, e.g., vehicle d1 sends average speed and running time to IoTDB. Then users may want to get the mileage of the vehicle (speed x time). IoTDB needs to calculate the result and save it to another time series.
• (Time window calculation) a device reports its temperature every second. Though the temperature is not too high, if it keeps increasing in 5 seconds, IoTDB needs to report the event to those who subscribe that.

 

As there are many streaming computing projects already, we can integrate one of them into IoTDB.

• If IoTDB runs on Edge, we can integrate Apache StreamPipes or Apache Edgent.
• If IOTDB runs on a Server, the above also works  and Apache Flink is also a good choice.

The process is:

• User registers a trigger into IoTDB.
• When a data comes, IoTDB save it and check whether there are triggers on it
• If so, call a streaming computing framework to do something;

 

You may need to know:

• At least one streaming computing project.
• SQL parser or some other DSL parser tool.

You have to modify the source codes of IoTDB server engine module.

Difficulty: A little hard

mentors: