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description |
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This guide will help install Redshift Usage connector and run manually |
Redshift Usage
{% hint style="info" %} Prerequisites
OpenMetadata is built using Java, DropWizard, Jetty, and MySQL.
- Python 3.7 or above {% endhint %}
Install from PyPI or Source
{% tabs %} {% tab title="Install Using PyPI" %}
pip install 'openmetadata-ingestion[redshift-usage]'
{% endtab %}
{% tab title="Build from source " %}
# checkout OpenMetadata
git clone https://github.com/open-metadata/OpenMetadata.git
cd OpenMetadata/ingestion
python3 -m venv env
source env/bin/activate
pip install '.[redshift-usage]'
{% endtab %} {% endtabs %}
Run Manually
metadata ingest -c ./examples/workflows/redshift_usage.json
Configuration
{% code title="redshift_usage.json" %}
{
"source": {
"type": "redshift-usage",
"config": {
"host_port": "cluster.user.region.redshift.amazonaws.com:5439",
"username": "username",
"password": "password",
"database": "warehouse",
"where_clause": "and q.label != 'metrics' and q.label != 'health' and q.label != 'cmstats'",
"service_name": "aws_redshift",
"service_type": "Redshift",
"duration": 2
}
},
...
{% endcode %}
- username - pass the Redshift username. We recommend creating a user with read-only permissions to all the databases in your Redshift installation
- password - password for the username
- service_name - Service Name for this Redshift cluster. If you added Redshift cluster through OpenMetadata UI, make sure the service name matches the same.
- 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 Redshift Usage data into openmetadata
Add optional query-parser
processor, table-usage
stage and metadata-usage
bulk_sink along with metadata-server
config
{% code title="redshift_usage.json" %}
{
"source": {
"type": "redshift-usage",
"config": {
"host_port": "cluster.user.region.redshift.amazonaws.com:5439",
"username": "username",
"password": "password",
"database": "warehouse",
"where_clause": "and q.label != 'metrics' and q.label != 'health' and q.label != 'cmstats'",
"service_name": "aws_redshift",
"service_type": "Redshift",
"duration": 2
}
},
"processor": {
"type": "query-parser",
"config": {
"filter": ""
}
},
"stage": {
"type": "table-usage",
"config": {
"filename": "/tmp/redshift_usage"
}
},
"bulk_sink": {
"type": "metadata-usage",
"config": {
"filename": "/tmp/redshift_usage"
}
},
"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 %}