docs/howto/setup-state-store/setup-sqlserver.md

70 lines
2.2 KiB
Markdown

# Setup SQL Server
## Creating an Azure SQL instance
[Follow the instructions](https://docs.microsoft.com/azure/sql-database/sql-database-single-database-get-started?tabs=azure-portal) from the Azure documentation on how to create a SQL database. The database must be created before Dapr consumes it.
**Note: SQL Server state store also supports SQL Server running on VMs.**
In order to setup SQL Server as a state store, you will need the following properties:
* **Connection String**: the SQL Server connection string. For example: server=localhost;user id=sa;password=your-password;port=1433;database=mydatabase;
* **Schema**: The database schema do use (default=dbo). Will be created if not exists
* **Table Name**: The database table name. Will be created if not exists
* **Indexed Properties**: Optional properties from json data which will be indexed and persisted as individual column
## Create a Dapr component
The next step is to create a Dapr component for SQL Server.
Create the following YAML file named `sqlserver.yaml`:
```yaml
apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
name: <name>
spec:
type: state.sqlserver
metadata:
- name: connectionString
value: <REPLACE-WITH-CONNECTION-STRING>
- name: tableName
value: <REPLACE-WITH-TABLE-NAME>
```
The above example uses secrets as plain strings. It is recommended to use a secret store for the secrets as described [here](../../concepts/secrets/README.md)
The following example uses the Kubernetes secret store to retrieve the secrets:
```yaml
apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
name: <name>
spec:
type: state.sqlserver
metadata:
- name: connectionString
secretKeyRef:
name: <KUBERNETES-SECRET-NAME>
key: <KUBERNETES-SECRET-KEY>
- name: tableName
value: <REPLACE-WITH-TABLE-NAME>
```
## Apply the configuration
### In Kubernetes
To apply the SQL Server state store to Kubernetes, use the `kubectl` CLI:
```yaml
kubectl apply -f sqlserver.yaml
```
### Running locally
The Dapr CLI will automatically create a directory named `components` in your current working directory with a Redis component.
To use SQL Server, replace the redis.yaml file with sqlserver.yaml file above.