GitBook: [#199] Added Bigquery Usage Documentation

This commit is contained in:
Ayush Shah 2021-10-18 17:39:46 +00:00 committed by gitbook-bot
parent d2bf7582c2
commit ad35ab94d2
No known key found for this signature in database
GPG Key ID: 07D2180C7B12D0FF
3 changed files with 130 additions and 0 deletions

View File

@ -75,6 +75,7 @@
* [Database Services](install/metadata-ingestion/connectors/database-services/README.md)
* [Athena](install/metadata-ingestion/connectors/database-services/athena.md)
* [BigQuery](install/metadata-ingestion/connectors/database-services/bigquery.md)
* [BigQuery Usage](install/metadata-ingestion/connectors/database-services/bigquery-usage.md)
* [ElasticSearch](install/metadata-ingestion/connectors/database-services/elastic-search.md)
* [MsSQL](install/metadata-ingestion/connectors/database-services/mssql.md)
* [MySQL](install/metadata-ingestion/connectors/database-services/mysql.md)

View File

@ -10,6 +10,10 @@ OpenMetadata supports connectors to some popular data sources. We will continue
[bigquery.md](bigquery.md)
{% endcontent-ref %}
{% content-ref url="bigquery-usage.md" %}
[bigquery-usage.md](bigquery-usage.md)
{% endcontent-ref %}
{% content-ref url="elastic-search.md" %}
[elastic-search.md](elastic-search.md)
{% endcontent-ref %}

View File

@ -0,0 +1,125 @@
---
description: This guide will help install BigQuery Usage connector and run manually
---
# BigQuery 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[bigquery-usage]'
```
{% endtab %}
{% endtabs %}
## Run Manually
```bash
metadata ingest -c ./examples/workflows/bigquery_usage.json
```
### Configuration
{% code title="bigquery-creds.json (boilerplate)" %}
```javascript
{
"type": "service_account",
"project_id": "project_id",
"private_key_id": "private_key_id",
"private_key": "",
"client_email": "gcpuser@project_id.iam.gserviceaccount.com",
"client_id": "",
"auth_uri": "https://accounts.google.com/o/oauth2/auth",
"token_uri": "https://oauth2.googleapis.com/token",
"auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
"client_x509_cert_url": ""
}
```
{% endcode %}
{% code title="bigquery_usage.json" %}
```javascript
{
"source": {
"type": "bigquery-usage",
"config": {
"project_id": "project_id",
"host_port": "https://bigquery.googleapis.com",
"username": "gcpuser@project_id.iam.gserviceaccount.com",
"service_name": "gcp_bigquery",
"duration": 2,
"options": {
"credentials_path": "examples/creds/bigquery-cred.json"
}
}
},
```
{% endcode %}
1. **username** - pass the Bigquery username.
2. **password** - the password for the Bigquery username.
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.
4. **filter_pattern** - It contains includes, excludes options to choose which pattern of datasets you want to ingest into OpenMetadata.
5. **database -** Database name from where data is to be fetched.
### Publish to OpenMetadata
Below is the configuration to publish Bigquery 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="bigquery_usage.json" %}
```javascript
{
"source": {
"type": "bigquery-usage",
"config": {
"project_id": "project_id",
"host_port": "https://bigquery.googleapis.com",
"username": "gcpuser@project_id.iam.gserviceaccount.com",
"service_name": "gcp_bigquery",
"duration": 2,
"options": {
"credentials_path": "examples/creds/bigquery-cred.json"
}
}
},
"processor": {
"type": "query-parser",
"config": {
"filter": ""
}
},
"stage": {
"type": "table-usage",
"config": {
"filename": "/tmp/bigquery_usage"
}
},
"bulk_sink": {
"type": "metadata-usage",
"config": {
"filename": "/tmp/bigquery_usage"
}
},
"metadata_server": {
"type": "metadata-server",
"config": {
"api_endpoint": "http://localhost:8585/api",
"auth_provider_type": "no-auth"
}
}
}
```
{% endcode %}