cyrilou242 commented on pull request #5868: URL: https://github.com/apache/incubator-pinot/pull/5868#issuecomment-675540235
Sadly BigQuery does not have a mock server. It's possible to test on some public, free (up to 1Tb) databases. ### Requirements: Having a GCP project (named `test-project` below) with the BigQuery API activated. See "Before you begin" step here: https://cloud.google.com/bigquery/docs/quickstarts/quickstart-command-line#before-you-begin ### Prepare the config file Create the relevant `data-sources-config.yml`: ```yaml dataSourceConfigs: - className: org.apache.pinot.thirdeye.datasource.sql.SqlThirdEyeDataSource properties: BigQuery: - db: test: jdbc:bigquery://https://www.googleapis.com/bigquery/v2;ProjectId=test-project;OAuthType=3; driver: com.simba.googlebigquery.jdbc42.Driver ``` Here for this quickstart the authentication method used is the application default credentials. If the cloud sdk was installed normally, it should authenticate as the user of the project without problems. See https://www.simba.com/products/BigQuery/doc/JDBC_InstallGuide/content/jdbc/bq/authenticating/appdefaultcred.htm ### Launch thirdeye `./run-frontend.sh` ### Create a metric using a public dataset: Querying the table on the following columns will amount for 52Kb of data at each query. The first 1Tb per month is free so it should be ok. See https://cloud.google.com/bigquery/public-data Go to http://localhost:1426/app/#/self-serve/import-sql-metric and create the metric ``` Table name: `bigquery-public-data.google_analytics_sample.ga_sessions_20170701` (keep the backticks) TimeColumn: visitStartTime Timezone: UTC Time Format: EPOCH Time granularity: 1 SECONDS Dimension 0: device.browser Metrics 0: totals.pageviews Aggregation Method: SUM ``` ### Test Go to root cause analysis and select your metric http://localhost:1426/app/#/rootcause Let me know if integration tests are mandatory and/or if I should add the public dataset example in the doc. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@pinot.apache.org For additional commands, e-mail: commits-h...@pinot.apache.org
