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100 lines
2.1 KiB
Markdown
100 lines
2.1 KiB
Markdown
---
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description: This guide will help install Vertica connector and run manually
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---
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# Vertica
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{% hint style="info" %}
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**Prerequisites**
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OpenMetadata is built using Java, DropWizard, Jetty, and MySQL.
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1. Python 3.7 or above
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{% endhint %}
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### Install from PyPI
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{% tabs %}
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{% tab title="Install Using PyPi" %}
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```javascript
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pip install 'openmetadata-ingestion[vertica]'
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```
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{% endtab %}
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{% endtabs %}
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### Run Manually
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```javascript
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metadata ingest -c ./examples/workflows/vertica.json
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```
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### Configurationvertica.json
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{% code title="vertica.json" %}
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```javascript
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{
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"source": {
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"type": "vertica",
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"config": {
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"username": "openmetadata_user",
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"password": "openmetadata_password",
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"database": "openmetadata_db",
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"service_name": "local_vertica",
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"filter_pattern": {
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"excludes": []
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}
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}
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},
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...
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```
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{% endcode %}
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1. **username **- pass the Vertica username.
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2. **password** - password for the username.
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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.
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4. **filter_pattern** - It contains includes, excludes options to choose which pattern of datasets you want to ingest into OpenMetadata
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### Publish to OpenMetadata
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Below is the configuration to publish MySQL data into the OpenMetadata service.
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Add optionally `pii` processor and `metadata-rest` sink along with `metadata-server` config
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{% code title="vertica.json" %}
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```javascript
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{
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"source": {
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"type": "vertica",
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"config": {
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"username": "openmetadata_user",
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"password": "openmetadata_password",
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"database": "openmetadata_db",
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"service_name": "local_vertica",
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"filter_pattern": {
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"excludes": []
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}
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}
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},
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"sink": {
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"type": "metadata-rest",
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"config": {}
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},
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"metadata_server": {
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"type": "metadata-server",
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"config": {
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"api_endpoint": "http://localhost:8585/api",
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"auth_provider_type": "no-auth"
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}
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},
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"cron": {
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"minute": "*/5",
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"hour": null,
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"day": null,
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"month": null,
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"day_of_week": null
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}
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}
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```
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{% endcode %}
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