How to Create a SAP HANA Database Instance in SAP BTP
This guide will walk you through the process of creating a SAP HANA Database instance in the SAP Business Technology Platform (BTP). Follow the steps below along with the provided screenshots.
Requirements : SAP BTP Trial Account
Step 1: Access SAP BTP Cockpit
- Log in to your SAP BTP account.
- Navigate to the Global Account view where you can see all the directories and subaccounts.
- Select the trial subaccount (or your specific subaccount) to proceed.
Step 2: Choose Instance Type
- Select SAP HANA Database
- In the “Type” section, select SAP HANA Cloud, SAP HANA Database.
Step 3: Configure General Settings
- Fill in General Details
- Organization: fc89ec26trial
- Space: dev
- Instance Name: HANADB
- Administrator: DBADMIN
- Administrator Password: Set and confirm your desired password.
Step 4: Specify Database Configuration
- Configure the SAP HANA Database
- Memory: Set to 16 GB
- Storage: Set to 80 GB
- Compute: Set to 1 vCPU
Step 5: Configure Advanced Settings
- Set IP Address Restrictions
- Select Allow all IP addresses for both the SAP HANA database and the Cloud Connector.
Step 6: Create a Data Lake Instance (Optional)
- Data Lake Setup
- Name your Data Lake instance (e.g., Testdata).
- The associated SAP HANA Database instance will be displayed.
Step 7: Configure the Data Lake Relational Engine
- Set Data Lake Relational Engine Parameters
- Coordinator: 2 vCPUs
- Workers: 2 vCPUs
- Storage: 256 GB
Step 8: Finalize Data Lake Advanced Settings
- Advanced Data Lake Settings
- Set IP address access rules (allow all IP addresses).
- Optionally, configure automatic backups.
Step 9: Review and Create Instances
- Review Configuration
- Review all your settings in the summary page.
- If everything looks good, click on Create Now.
Step 10: Monitor Instance Creation
- Monitor the Creation Process
- The instance creation process will start, and you can monitor its progress in the Instances section.
To monitor Hana db;
Here you can review all the details about the DB. Running queries, CPU usage status, etc.
Thanks for reading..