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At the time of writing this tutorial Atomiton TQLEngine does not provide specific language constructs to perform bulk initialization of Things or Data. But the existing Atomic domain languages capabilities can be exploited to achieve bulk initialization requirements. The bulk initialization design pattern can be broken down into two steps:

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Bulk Initialization Steps:

Step #

Name

Description

Output

Implementation Flow

1

Gather Metadata

Input to gathering of metadata step can be:

Manual entires
Code that generates metadata
Reading metadata from external device management source

The output of gathering metadata step could be:

Generated CSV, JSON Files
Generated Create / Save TQL Query statement

@TQL Macro, AppModel, AppFacet
Gather and Initialize can be combined into same flow.
Decoupled implementation from TQLEngine
(Example: NodeJS generating series of JSON files)

2

Initialize

Initialize step includes:

Load the data into TQLEngine.
Metadata gathered from step-1 serves as input.
This steps has to be repeatable.

The output of initialize steps are:

Data and Things loaded into TQLEngine.
May or may not note trigger actions.

@TQL Query
Can be integrated into Gather Metadata step.

Bulk Initialization Steps:

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Greenhouse UseCase

Please refer to 8. Simulating sensors, actuators, and devices for the description of Greenhouse usecase. The data initalization requirement for this case is shown below

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Key

Greenhouse UseCase