Source
yaml
id: business-automation
namespace: tutorial
description: Business Automation
tasks:
- id: working_directory
type: io.kestra.plugin.core.flow.WorkingDirectory
tasks:
- id: query
type: io.kestra.plugin.jdbc.sqlite.Queries
url: jdbc:sqlite:kestra.db
fetchType: STORE
sql: |
CREATE TABLE IF NOT EXISTS features (
id INTEGER PRIMARY KEY,
name TEXT NOT NULL,
description TEXT NOT NULL,
release_version TEXT NOT NULL,
edition TEXT NOT NULL
);
DELETE FROM features;
INSERT INTO features (name, description, release_version, edition)
VALUES
('Worker Groups', 'Allows targeting specific tasks or triggers to run on specific remote workers for better scalability and resource management.', '0.10', 'Enterprise'),
('Realtime Triggers', 'Supports triggering event-driven workflows in real-time.', '0.17', 'Open-Source'),
('Task Runners', 'Provides on-demand remote execution environments for running tasks.', '0.16', 'Open-Source'),
('KV Store', 'Adds key-value storage for persisting data across workflow executions.', '0.18', 'Open-Source'),
('SCIM Directory Sync', 'Allows synchronization of users and groups from Identity Providers.', '0.18', 'Enterprise');
SELECT * FROM features
ORDER BY release_version;
- id: to_csv
type: io.kestra.plugin.serdes.csv.IonToCsv
from: "{{ outputs.query.outputs[0].uri }}"
- id: to_excel
type: io.kestra.plugin.serdes.excel.IonToExcel
from: "{{ outputs.query.outputs[0].uri }}"
About this blueprint
Getting Started Postgres Software Engineering
This flow demonstrates how to use the SQLite plugin to create a table, insert data, and query the data. The flow then converts the query result to a CSV and Excel files allowing those to be shared with business stakeholders for further analysis and reporting.