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---
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description: This guide will help install Vertica connector and run manually
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---
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# Vertica
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{% hint style="info" %}
**Prerequisites**
OpenMetadata is built using Java, DropWizard, Jetty, and MySQL.
1. Python 3.7 or above
{% endhint %}
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### Install from PyPI
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{% tabs %}
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{% tab title="Install Using PyPi" %}
```javascript
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pip install 'openmetadata-ingestion[vertica]'
```
{% endtab %}
{% endtabs %}
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### Run Manually
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```javascript
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metadata ingest -c ./examples/workflows/vertica.json
```
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### Configurationvertica.json
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{% code title="vertica.json" %}
```javascript
{
"source": {
"type": "vertica",
"config": {
"username": "openmetadata_user",
"password": "openmetadata_password",
"database": "openmetadata_db",
"service_name": "local_vertica",
"filter_pattern": {
"excludes": []
}
}
},
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...
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```
{% endcode %}
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1. \*\*username \*\*- pass the Vertica username.
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2. **password** - password for the username.
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3. **service\_name** - Service Name for this Vertica cluster. If you added Vertica cluster through OpenMetadata UI, make sure the service name matches the same.
4. **filter\_pattern** - It contains includes, excludes options to choose which pattern of datasets you want to ingest into OpenMetadata
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### Publish to OpenMetadata
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Below is the configuration to publish MySQL data into the OpenMetadata service.
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Add optionally `pii` processor and `metadata-rest` sink along with `metadata-server` config
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{% code title="vertica.json" %}
```javascript
{
"source": {
"type": "vertica",
"config": {
"username": "openmetadata_user",
"password": "openmetadata_password",
"database": "openmetadata_db",
"service_name": "local_vertica",
"filter_pattern": {
"excludes": []
}
}
},
"sink": {
"type": "metadata-rest",
"config": {}
},
"metadata_server": {
"type": "metadata-server",
"config": {
"api_endpoint": "http://localhost:8585/api",
"auth_provider_type": "no-auth"
}
}
}
```
{% endcode %}