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GitBook: [#199] Added Bigquery Usage Documentation
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@ -75,6 +75,7 @@
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* [Database Services](install/metadata-ingestion/connectors/database-services/README.md)
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* [Athena](install/metadata-ingestion/connectors/database-services/athena.md)
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* [BigQuery](install/metadata-ingestion/connectors/database-services/bigquery.md)
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* [BigQuery Usage](install/metadata-ingestion/connectors/database-services/bigquery-usage.md)
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* [ElasticSearch](install/metadata-ingestion/connectors/database-services/elastic-search.md)
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* [MsSQL](install/metadata-ingestion/connectors/database-services/mssql.md)
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* [MySQL](install/metadata-ingestion/connectors/database-services/mysql.md)
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@ -10,6 +10,10 @@ OpenMetadata supports connectors to some popular data sources. We will continue
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[bigquery.md](bigquery.md)
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{% endcontent-ref %}
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{% content-ref url="bigquery-usage.md" %}
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[bigquery-usage.md](bigquery-usage.md)
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{% endcontent-ref %}
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{% content-ref url="elastic-search.md" %}
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[elastic-search.md](elastic-search.md)
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{% endcontent-ref %}
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@ -0,0 +1,125 @@
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---
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description: This guide will help install BigQuery Usage connector and run manually
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---
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# BigQuery Usage
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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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```bash
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pip install 'openmetadata-ingestion[bigquery-usage]'
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```
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{% endtab %}
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{% endtabs %}
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## Run Manually
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```bash
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metadata ingest -c ./examples/workflows/bigquery_usage.json
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```
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### Configuration
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{% code title="bigquery-creds.json (boilerplate)" %}
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```javascript
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{
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"type": "service_account",
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"project_id": "project_id",
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"private_key_id": "private_key_id",
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"private_key": "",
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"client_email": "gcpuser@project_id.iam.gserviceaccount.com",
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"client_id": "",
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"auth_uri": "https://accounts.google.com/o/oauth2/auth",
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"token_uri": "https://oauth2.googleapis.com/token",
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"auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
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"client_x509_cert_url": ""
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}
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```
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{% endcode %}
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{% code title="bigquery_usage.json" %}
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```javascript
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{
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"source": {
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"type": "bigquery-usage",
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"config": {
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"project_id": "project_id",
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"host_port": "https://bigquery.googleapis.com",
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"username": "gcpuser@project_id.iam.gserviceaccount.com",
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"service_name": "gcp_bigquery",
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"duration": 2,
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"options": {
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"credentials_path": "examples/creds/bigquery-cred.json"
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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 Bigquery username.
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2. **password** - the password for the Bigquery username.
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3. **service_name** - Service Name for this Bigquery cluster. If you added the Bigquery 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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5. **database -** Database name from where data is to be fetched.
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### Publish to OpenMetadata
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Below is the configuration to publish Bigquery data into the OpenMetadata service.
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Add optionally`query-parser` processor, `table-usage` stage and `metadata-usage` bulk_sink along with `metadata-server` config
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{% code title="bigquery_usage.json" %}
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```javascript
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{
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"source": {
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"type": "bigquery-usage",
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"config": {
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"project_id": "project_id",
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"host_port": "https://bigquery.googleapis.com",
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"username": "gcpuser@project_id.iam.gserviceaccount.com",
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"service_name": "gcp_bigquery",
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"duration": 2,
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"options": {
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"credentials_path": "examples/creds/bigquery-cred.json"
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}
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}
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},
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"processor": {
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"type": "query-parser",
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"config": {
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"filter": ""
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}
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},
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"stage": {
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"type": "table-usage",
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"config": {
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"filename": "/tmp/bigquery_usage"
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}
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},
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"bulk_sink": {
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"type": "metadata-usage",
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"config": {
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"filename": "/tmp/bigquery_usage"
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}
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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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}
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```
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{% endcode %}
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