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---
description: This guide will help install Presto connector and run manually
---
# Presto
{% hint style="info" %}
**Prerequisites**
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[presto]'
```
{% endtab %}
{% endtabs %}
## Run Manually
```bash
metadata ingest -c ./examples/workflows/presto.json
```
### Configuration
{% code title="presto.json" %}
```javascript
"source": {
"type": "presto",
"config": {
"service_name": "local_presto",
"host_port": "192.168.1.32:8080",
"database": "default"
}
}, ...
```
{% endcode %}
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1. **username** - this is an optional configuration if you are using username/password with presto. Please use these fields to configure them
2. **password** - password for the username
3. **host\_port** - host and port of the Presto cluster
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4. **service\_name** - Service Name for this Presto cluster. If you added the Presto cluster through OpenMetadata UI, make sure the service name matches the same.
5. **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 Presto data into the OpenMeatadata service.
add `metadata-rest-tables` sink along with `metadata-server` config
{% code title="presto.json" %}
```javascript
{
"source": {
"type": "presto",
"config": {
"service_name": "local_presto",
"host_port": "192.168.1.32:8080",
"database": "default"
}
},
"sink": {
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"type": "metadata-rest",
"config": {
}
},
"metadata_server": {
"type": "metadata-server",
"config": {
"api_endpoint": "http://localhost:8585/api",
"auth_provider_type": "no-auth"
}
},
"cron": {
"minute": "*/5",
"hour": null,
"day": null,
"month": null,
"day_of_week": null
}
}
```
{% endcode %}