Ayush Shah 5d6f385a75
Added Filter Params for Table and Schema (#1954)
* Added Filter Params for table and Schema

* Bigquery Doc changes

* Doc Changes for databases

* Filter Pattern Changes

* Table Filter Pattern Example Changes

* Filter Pattern Example Changes
2021-12-29 09:13:09 -08:00

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---
description: 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.
1. Python 3.7 or above
{% endhint %}
### Install from PyPI
{% tabs %}
{% tab title="Install Using PyPI" %}
```bash
pip install 'openmetadata-ingestion[redshift-usage]'
```
{% endtab %}
{% endtabs %}
## Run Manually
```bash
metadata ingest -c ./examples/workflows/redshift_usage.json
```
### Configuration
{% code title="redshift_usage.json" %}
```javascript
{
"source": {
"type": "redshift-usage",
"config": {
"host_port": "cluster.name.region.redshift.amazonaws.com:5439",
"username": "username",
"password": "strong_password",
"database": "warehouse",
"where_clause": "and q.label != 'metrics' and q.label != 'health' and q.label != 'cmstats'",
"service_name": "aws_redshift",
"duration": 2
}
},
...
```
{% endcode %}
1. **username** - pass the Redshift username. We recommend creating a user with read-only permissions to all the databases in your Redshift installation
2. **password** - password for the username
3. **service\_name** - Service Name for this Redshift cluster. If you added the Redshift cluster through OpenMetadata UI, make sure the service name matches the same.
4. **table\_filter\_pattern** - It contains includes, excludes options to choose which pattern of tables you want to ingest into OpenMetadata.
5. **schema\_filter\_pattern** - It contains includes, excludes options to choose which pattern of schemas you want to ingest into OpenMetadata.
## Publish to OpenMetadata
Below is the configuration to publish Redshift 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="redshift_usage.json" %}
```javascript
{
"source": {
"type": "redshift-usage",
"config": {
"host_port": "cluster.name.region.redshift.amazonaws.com:5439",
"username": "username",
"password": "strong_password",
"database": "warehouse",
"where_clause": "and q.label != 'metrics' and q.label != 'health' and q.label != 'cmstats'",
"service_name": "aws_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"
}
}
}
```
{% endcode %}