**Note**: If dagster is deployed on `localhost` and entering `https://localhost:3000` into hostPort gives a connection refused error, please enter `https://127.0.0.1:3000` into the hostPort and try again.
{% /codeInfo %}
{% codeInfo srNumber=2 %}
**Token** : Need pass token if connecting to `dagster cloud` instance
{% /codeInfo %}
#### Source Configuration - Source Config
{% codeInfo srNumber=3 %}
The `sourceConfig` is defined [here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/metadataIngestion/pipelineServiceMetadataPipeline.json):
**dbServiceNames**: Database Service Name for the creation of lineage, if the source supports it.
**markDeletedPipelines**: Set the Mark Deleted Pipelines toggle to flag pipelines as soft-deleted if they are not present anymore in the source system.
**pipelineFilterPattern** and **chartFilterPattern**: Note that the `pipelineFilterPattern` and `chartFilterPattern` both support regex as include or exclude.
{% /codeInfo %}
#### Sink Configuration
{% codeInfo srNumber=4 %}
To send the metadata to OpenMetadata, it needs to be specified as `type: metadata-rest`.
{% /codeInfo %}
#### Workflow Configuration
{% codeInfo srNumber=4 %}
The main property here is the `openMetadataServerConfig`, where you can define the host and security provider of your OpenMetadata installation.
For a simple, local installation using our docker containers, this looks like:
{% /codeInfo %}
{% /codeInfoContainer %}
{% codeBlock fileName="filename.yaml" %}
```yaml
source:
type: dagster
serviceName: dagster_source
serviceConnection:
config:
type: Dagster
```
```yaml {% srNumber=1 %}
host: "https://<yourorghere>.dagster.cloud/prod" # or http://127.0.0.1:3000
```
```yaml {% srNumber=2 %}
token: token
```
```yaml {% srNumber=3 %}
sourceConfig:
config:
type: PipelineMetadata
# markDeletedPipelines: True
# includeTags: True
# includeLineage: true
# pipelineFilterPattern:
# includes:
# - pipeline1
# - pipeline2
# excludes:
# - pipeline3
# - pipeline4
```
```yaml {% srNumber=4 %}
sink:
type: metadata-rest
config: {}
```
```yaml {% srNumber=5 %}
workflowConfig:
openMetadataServerConfig:
hostPort: "http://localhost:8585/api"
authProvider: openmetadata
securityConfig:
jwtToken: "{bot_jwt_token}"
```
{% /codeBlock %}
{% /codePreview %}
### Workflow Configs for Security Provider
We support different security providers. You can find their definitions [here](https://github.com/open-metadata/OpenMetadata/tree/main/openmetadata-spec/src/main/resources/json/schema/security/client).
## Openmetadata JWT Auth
- JWT tokens will allow your clients to authenticate against the OpenMetadata server. To enable JWT Tokens, you will get more details [here](/deployment/security/enable-jwt-tokens).
```yaml
workflowConfig:
openMetadataServerConfig:
hostPort: "http://localhost:8585/api"
authProvider: openmetadata
securityConfig:
jwtToken: "{bot_jwt_token}"
```
- You can refer to the JWT Troubleshooting section [link](/deployment/security/jwt-troubleshooting) for any issues in your JWT configuration. If you need information on configuring the ingestion with other security providers in your bots, you can follow this doc [link](/deployment/security/workflow-config-auth).
### 2. Run with the CLI
First, we will need to save the YAML file. Afterward, and with all requirements installed, we can run:
```bash
metadata ingest -c <path-to-yaml>
```
Note that from connector to connector, this recipe will always be the same. By updating the YAML configuration,
you will be able to extract metadata from different sources.
