You can now configure Logpush jobs to Google BigQuery directly from the Cloudflare dashboard, in addition to the existing API-based setup.
Previously, setting up a BigQuery Logpush destination required using the Logpush API. Now you can create and manage BigQuery Logpush jobs from the Logpush page in the Cloudflare dashboard by selecting Google BigQuery as the destination and entering your Google Cloud project ID, dataset ID, table ID, and service account credentials.
For more information, refer to Enable Logpush to Google BigQuery.
Logpush now supports higher-precision timestamp formats for log output. You can configure jobs to output timestamps at millisecond or nanosecond precision. This is available in both the Logpush UI in the Cloudflare dashboard and the Logpush API.
To use the new formats, set
timestamp_formatin your Logpush job'soutput_options:rfc3339ms—2024-02-17T23:52:01.123Zrfc3339ns—2024-02-17T23:52:01.123456789Z
Default timestamp formats apply unless explicitly set. The dashboard defaults to
rfc3339and the API defaults tounixnano.For more information, refer to the Log output options documentation.