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2.3 KiB
2.3 KiB
description |
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This guide will help install Salesforce connector and run manually |
Salesforce
{% 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[salesforce]'
{% endtab %} {% endtabs %}
Run Manually
metadata ingest -c ./pipelines/salesforce.json
Configuration
{% code title="salesforce.json" %}
{
"source": {
"type": "salesforce",
"config": {
"username": "username",
"password": "password",
"security_token": "secuirty_token",
"service_name": "local_salesforce",
"scheme": "salesforce",
"sobject_name": "Salesforce Object Name"
}
},
...
{% endcode %}
- username - pass the Salesforce username.
- password - password for the username.
- security_token - pass the security token.
- sobject_name - pass the salesforce object name.
- service_name - Service Name for this Salesforce cluster. If you added Salesforce 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 Salesforce data into the OpenMetadata service.
Add optionally pii
processor and metadata-rest-tables
sink along with metadata-server
config
{% code title="salesforce.json" %}
{
"source": {
"type": "salesforce",
"config": {
"username": "username",
"password": "password",
"security_token": "secuirty_token",
"service_name": "local_salesforce",
"scheme": "salesforce",
"sobject_name": "Salesforce Object Name"
}
},
"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 %}