On Thursday, April 22nd from 10:00 to 11:00 JST (Thursday, April 22nd from 01:00 to 02:00 UTC) we will be performing maintenance on the PlazmaDB Metadata database. During the maintenance we will scale-up the Metadata database to increase its capacity, which will improve performance and reliability.
Although the maintenance window duration is 60 minutes, the database will only become unreachable for a portion of the operation, which should last no longer than 5 minutes in total. We expect this to be followed by a recovery period of around 30 minutes during which the system will gradually return to full throughput.
During the maintenance and recovery, customers may experience the following:
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.
- 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 approximately 1 hour before the beginning of the maintenance window, at the start and completion of the operation, and once the verification is complete. At that time, all systems will have returned to full functionality and the Scheduled Maintenance will be closed.
If you have any question or concern about this upgrade, please feel free to reach out to our Support team at email@example.com