**username**: Username to connect to the Salesforce. This user should have the access as defined in requirements.
{% /codeInfo %}
{% codeInfo srNumber=2 %}
**password**: Password to connect to Salesforce.
{% /codeInfo %}
{% codeInfo srNumber=3 %}
**hostPort**: Enter the fully qualified hostname and port number for your Salesforce deployment in the Host and Port field.
{% /codeInfo %}
{% codeInfo srNumber=4 %}
**securityToken**: Salesforce Security Token is required to access the metadata through APIs. You can checkout [this doc](https://help.salesforce.com/s/articleView?id=sf.user_security_token.htm&type=5) on how to get the security token.
{% /codeInfo %}
{% codeInfo srNumber=5 %}
**sobjectName**: Specify the Salesforce Object Name in case you want to ingest a specific object. If left blank, we will ingest all the Objects.
{% /codeInfo %}
#### Source Configuration - Source Config
{% codeInfo srNumber=8 %}
The `sourceConfig` is defined [here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/metadataIngestion/databaseServiceMetadataPipeline.json):
**markDeletedTables**: To flag tables as soft-deleted if they are not present anymore in the source system.
**includeTables**: true or false, to ingest table data. Default is true.
**includeViews**: true or false, to ingest views definitions.
**databaseFilterPattern**, **schemaFilterPattern**, **tableFilternPattern**: Note that the they support regex as include or exclude. E.g.,
{% /codeInfo %}
#### Sink Configuration
{% codeInfo srNumber=9 %}
To send the metadata to OpenMetadata, it needs to be specified as `type: metadata-rest`.
{% /codeInfo %}
#### Workflow Configuration
{% codeInfo srNumber=10 %}
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 %}
#### Advanced Configuration
{% codeInfo srNumber=6 %}
**Connection Options (Optional)**: Enter the details for any additional connection options that can be sent to Athena during the connection. These details must be added as Key-Value pairs.
{% /codeInfo %}
{% codeInfo srNumber=7 %}
**Connection Arguments (Optional)**: Enter the details for any additional connection arguments such as security or protocol configs that can be sent to Athena during the connection. These details must be added as Key-Value pairs.
- In case you are using Single-Sign-On (SSO) for authentication, add the `authenticator` details in the Connection Arguments as a Key-Value pair as follows: `"authenticator" : "sso_login_url"`
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.
## Related
{% tilesContainer %}
{% tile
title="Ingest with Airflow"
description="Configure the ingestion using Airflow SDK"