Process Mining
2021.10
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Process Mining
Last updated Sep 21, 2023

Connector Data Model Design

Introduction

Your data model can be built in different ways. There is a trade-off between comprehensibility, effort, and performance for the user. Without restricting the data volume, there are trade-offs you can make to ensure the Connector does not become slow.

While a slow Connector may impact the performance experience of a developer, it will have no impact on the end-user, if the output file is the same. Sometimes it may be worthwhile to invest in the design phase and to accept a slower performance when developing a well-performing dataset or application for the end-users.

Solution

Connector Data Model Design

  • Avoid unions where possible
  • Set the availability of attributes that are not used in the output dataset of the Connector to private/hidden where possible.

Cache Generation

For cached data, the startup time of the application is independent of the number of columns. When data is pre-calculated and cached, it can be loaded directly from the cache when it is requested.

Extracting data from source systems can be time-consuming. It is recommended to schedule the cache updates, for example outside production hours.

Besides the extraction of data, during cache generation, the data is also transformed into the UiPath Process Mining internal format and all calculations that do not depend on user input, are cached.

For calculations that depend on user input, the initial state is cached. When the user changes a control or filter that changes the calculation, the calculation is performed again. Keeping these recalculations to a minimum is very important in good application design.

  • Introduction
  • Solution
  • Connector Data Model Design
  • Cache Generation

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