This document discusses a visual database and workflow management tool called ApptiveGrid. It allows users to define data models and flows visually without code. Key features include defining models and columns, filtering and sorting data, running workflow engines, and defining conditional flows that can make external calls or send emails. The tool uses a domain-specific language called ApptiveScript that understands column types and generates database queries from visual filters. ApptiveScript can also be executed on the frontend for auto-completion and sent to the backend where it is parsed and used as a database predicate to filter objects efficiently.

1. Visual driven database queries
What if you want to do powerful stu
ff
and you are using HTML
Norbert Hartl, ApptiveGrid GmbH, ESUG 2023

2. A visual database and
fl
ow management tool

3. visual database

4. De
fi
ning a model

5. De
fi
ning a model - adding an enum

6. Filtering & sorting

7. work
fl
ow engine

8. De
fi
ning a
fl
ow - a trigger

9. De
fi
ning a
fl
ow - do an external call

10. De
fi
ning a
fl
ow - send a mail ...

11. De
fi
ning a
fl
ow - ... with condition...

12. De
fi
ning a
fl
ow - visually pick whatever you got

13. De
fi
ning a
fl
ow - de
fi
ne condition

14. Uniform approach
- has knowledge about column types and operations
- has syntax for composing type based
fi
lters
- turns JSON into a tree that generates access path
- knows about application scope

15. ApptiveScript
- has knowledge about column types and operations
- has syntax for composing type based
fi
lters
- turns JSON into a tree that generates access path
- knows about application scope
- is an executable DSL for ApptiveGrid

16. De
fi
ning a
fl
ow - visually pick whatever you got

17. Combined syntax

18. step('64ee0ddae4743dbe24c06aee').output.get('data').get('state').isEqualTo('done')
application user type
node

19. ApptiveScript

20. ApptiveScript

21. ApptiveScript -

22. ApptiveScript on the frontend
- generated picking visual elements
- enables auto completion through type information.
- can be executed on demand
- sends syntax to the server

23. ApptiveScript on the backend
- is parsed to AST
- AST is stored in soil
- uses the AST as database predicate

24. ApptiveScript on the backend
- objects are read using an iterator (#next just as in stream)
- iterator executes the ApptiveScript AST on object
- uses the AST as predicate
- returns the result

25. Thank you!
Questions?