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---
description: This guide will help install Vertica Usage connector and run manually
---
# Vertica Usage
{% hint style="info" %}
**Prerequisites**
OpenMetadata is built using Java, DropWizard, Jetty, and MySQL.
1. Python 3.7 or above
2. OpenMetadata Server up and running
{% endhint %}
### Install from PyPI or Source
{% tabs %}
{% tab title="Install Using PyPI" %}
```bash
pip install 'openmetadata-ingestion[vertica]'
```
{% endtab %}
{% endtabs %}
## Run Manually
```bash
metadata ingest -c ./examples/workflows/vertica.json
```
### Configuration
{% 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": []
}
}
},
```
{% endcode %}
2021-10-15 03:51:13 +05:30
1. **username **- pass the Vertica username.
2. **password** - password for the username.
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
### Publish to OpenMetadata
Below is the configuration to publish Vertica Usage data into the OpenMetadata service.
Add Optionally `query-parser` processor, `table-usage` stage and`metadata-usage` bulk\_sink along with `metadata-server` config
{% 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 %}