[jira] [Created] (COMDEV-355) Apache IoTDB trigger module for streaming cumputing

["Xiangdong Huang (Jira)" <ji...@apache.org>]

Xiangdong Huang created COMDEV-355:
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             Summary: Apache IoTDB trigger module for streaming cumputing
                 Key: COMDEV-355
                 URL: https://issues.apache.org/jira/browse/COMDEV-355
             Project: Community Development
          Issue Type: Wish
          Components: GSoC/Mentoring ideas
            Reporter: Xiangdong Huang


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:

hxd@apache.org

 

 



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