README.md

Iot-Project

1. Before You Start

Understanding PostgreSQL GROUP on Local DB

• Create a local server named demo-db → hostname: localhost
• Create a new group → groupTest
• Open Query Tool on postgres db
• Paste the following query string into the query tool window and run

CREATE SCHEMA IF NOT EXISTS "testSchema";
ALTER SCHEMA "testSchema" OWNER TO "groupTest";
CREATE TABLE IF NOT EXISTS "testSchema"."testTable"(
     id integer,
     name character(50)
);
ALTER TABLE "testSchema"."testTable" OWNER to "groupTest";
GRANT ALL ON ALL TABLES IN SCHEMA "testSchema" TO "groupTest";
GRANT ALL ON ALL SEQUENCES IN SCHEMA "testSchema" TO "groupTest";

• Inspect testSchema and testTable
• Inspect the privilege types of all grantees of testTable with the following query string

SELECT grantee, privilege_type
FROM information_schema.role_table_grants
WHERE table_name='testTable'

2. Introduction

Download the sample code to modify the config files and deploy "Iot-Project" app to assignment namespace

Modify the config files

Note: It’s not required to modify the Helm-Chart because you can just change the K8s config files and apply the new configuration to the namespace. However, you can still customize the Helm-Chart and try to deploy your app with it.

• server.yaml

• mqtt.yaml

• cluster-ip.yaml

• ingress.yaml
  Set the Host Name → sso-frontend-{Name}.{namespace name}.{cluster name}.en.internal

3. Run "Edge-Mock-Temperature" push data to postgresql
   • Sample code
   • Follow the steps in the video to set up the Edge-Mock-Temperature data
   • See if the graph shows the latest temperature data
4. Set up Postgresql data source for your dashboard
   • ExternalHost (Find it in the credential’s JSON file decoded from the secret)
   • Database Name
   • Username
   • Password
5. Create a Graph panel and link it to the Postgresql data source as demonstrated in the training video.
   Note : Stop the auto-refeshing setting of your dashboard and fix the time range so that we can check the result within the range.