In about an hour, from 09:00 CEST (07:00 UTC), the maintenance window for the PlazmaDB Metadata database will commence.
# Impact
During the maintenance and recovery, customers may experience the following:
- Streaming, Mobile, and JavaScript/Browser imports delay
Streaming import (through td-agent or fluentd) requests will continue to be accepted as usual but the requests will remain queued until after the database maintenance is complete. We expect stream import processing to be further delayed during recovery.
The same will apply to import requests from Browsers (Javascript SDK), Mobiles (Android, iOS, and Unity SDKs), and Postback APIs.
- Jobs execution delay
All jobs (Presto, Hive, Data Connector Integrations, Bulk Import, Export, and Partial Delete jobs submitted from Console, API, Workflow or triggered by our system according to the configured schedule) will be delayed and will be automatically retried until they succeed after the downtime period. During recovery, we expect jobs to begin processing slowly: within 30 minutes job processing should reach back to full throughput.
- Presto JDBC / ODBC Gateway return errors during downtime
The Presto JDBC / ODBC Gateway will return errors during the downtime period.
- Table creation return errors during downtime
During the downtime period, REST API requests to create tables will fail and will need to be retried. On the other hand, attempts to create tables via SQL or Workflow will be delayed and will be automatically retried until they succeed after the downtime period.
- Console execution delay
Data Workbench and Audience Studio will show that jobs are running longer due to underlying job execution delay due to failure of the underlying Parent Segments, Segments, and Workflows jobs that overlap with the maintenance period. During recovery, we expect processing of Data Workbench and Audience Studio jobs to follow the same recovery pattern as all other jobs (see above).
- Data Access API (beta) return errors during downtime
Data Access API (Plazma Public API) for Spark will return errors during downtime period.
Beyond this notice, we will provide updates at the start and completion of the operation, and once the verification of the new system is completed. At that time, all systems will have returned to full functionality and this Scheduled Maintenance will be closed.
Posted Oct 11, 2021 - 23:00 PDT