OpenMetadata/docs/install/metadata-ingestion/connectors/database-services/presto.md

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" %}

pip install 'openmetadata-ingestion[presto]'

{% endtab %} {% endtabs %}

Run Manually

metadata ingest -c ./examples/workflows/presto.json

Configuration

{% code title="presto.json" %}

  "source": {
    "type": "presto",
    "config": {
      "service_name": "local_presto",
      "host_port": "192.168.1.32:8080",
      "database": "default"
    }
  }, ...

{% endcode %}

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
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" %}

{
  "source": {
    "type": "presto",
    "config": {
      "service_name": "local_presto",
      "host_port": "192.168.1.32:8080",
      "database": "default"
    }
  },
  "sink": {
    "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 %}