MySQL Connector
Demonstrates how to leverage a database as a data source. It utilizes a user-configured database within its infrastructure and includes SQL commands to maintain the required tables.
David Škarka
Template author
This solution demonstrates an integration between DecisionRules and a MySQL database, utilizing it as a source for data retrieval. The difference between multi-row and single-row query nodes is mentioned.
The primary objective of this flow is to allow users to filter geographic groups and retrieve a list of countries that match those groups. The flow automates the process of querying a country database.
Solution Components
- Decision Flow MySQL Connector: The core logic that processes user input, queries the database, and populates the flow’s output.
- RDBMS Node (selectCountries): Queries the lov_country_region_table using the user-provided string to find matching geographical groups and provides a list of countries within those groups. Each country is then processed through iteration over every item returned by the query.
- Append Node (arrayAppend): Within the iteration (loop) over every country, appends the country name to the end of the output parameter countriesList (an array).
- Assign Node (assignOutput): Assigns the total number of retrieved countries to the output parameter numberOfCountries.
Prerequisites: A MySQL database must be accessible to the DecisionRules backend with the alias conn-mysql-templates.
Setup: Use the provided DDL and INSERT nodes to create the source table (lov_country_region_table) and populate it with the sample data provided in the template.
More details could be found in the main flow description - in the Flow Designer, select in the Sidebar the Rule Settings and scroll down to Description
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