Monitoring data loading

Aurora PostgreSQL Limitless Database provides several ways to monitor data loading jobs:

Listing data loading jobs

You can connect to the cluster endpoint and use the rds_aurora.limitless_data_load_jobs view to list data loading jobs.

postgres_limitless=> SELECT * FROM rds_aurora.limitless_data_load_jobs LIMIT 6;

    job_id     |  status   | message |     source_db_identifier      | source_db_name | full_load_complete_time |                                                                progress_details                                                                 |       start_time       |   last_updated_time    |  streaming_mode   | source_engine_type | ignore_primary_key_conflict | is_dryrun 
---------------+-----------+---------+-------------------------------+----------------+-------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------+------------------------+------------------------+-------------------+--------------------+-----------------------------+-----------
 1725697520693 | COMPLETED |         | persistent-kdm-auto-source-01 | postgres       | 2024-09-07 08:48:15+00  | {"FULL_LOAD": {"STATUS": "COMPLETED", "DETAILS": "9 of 9 tables loaded", "COMPLETED_AT": "2024/09/07 08:48:15+00", "RECORDS_MIGRATED": 600003}} | 2024-09-07 08:47:13+00 | 2024-09-07 08:48:15+00 | full_load         | aurora_postgresql  | t                           | f
 1725696114225 | COMPLETED |         | persistent-kdm-auto-source-01 | postgres       | 2024-09-07 08:24:20+00  | {"FULL_LOAD": {"STATUS": "COMPLETED", "DETAILS": "3 of 3 tables loaded", "COMPLETED_AT": "2024/09/07 08:24:20+00", "RECORDS_MIGRATED": 200001}} | 2024-09-07 08:23:56+00 | 2024-09-07 08:24:20+00 | full_load         | aurora_postgresql  | t                           | f
 1725696067630 | COMPLETED |         | persistent-kdm-auto-source-01 | postgres       | 2024-09-07 08:23:45+00  | {"FULL_LOAD": {"STATUS": "COMPLETED", "DETAILS": "6 of 6 tables loaded", "COMPLETED_AT": "2024/09/07 08:23:45+00", "RECORDS_MIGRATED": 400002}} | 2024-09-07 08:23:10+00 | 2024-09-07 08:23:45+00 | full_load         | aurora_postgresql  | t                           | f
 1725694221753 | CANCELED  |         | persistent-kdm-auto-source-01 | postgres       |                         | {}                                                                                                                                              | 2024-09-07 07:31:18+00 | 2024-09-07 07:51:49+00 | full_load_and_cdc | aurora_postgresql  | t                           | f
 1725691698210 | COMPLETED |         | persistent-kdm-auto-source-01 | postgres       | 2024-09-07 07:10:51+00  | {"FULL_LOAD": {"STATUS": "COMPLETED", "DETAILS": "1 of 1 tables loaded", "COMPLETED_AT": "2024/09/07 07:10:51+00", "RECORDS_MIGRATED": 100000}} | 2024-09-07 07:10:42+00 | 2024-09-07 07:10:52+00 | full_load         | aurora_postgresql  | t                           | f
 1725691695049 | COMPLETED |         | persistent-kdm-auto-source-01 | postgres       | 2024-09-07 07:10:48+00  | {"FULL_LOAD": {"STATUS": "COMPLETED", "DETAILS": "1 of 1 tables loaded", "COMPLETED_AT": "2024/09/07 07:10:48+00", "RECORDS_MIGRATED": 100000}} | 2024-09-07 07:10:41+00 | 2024-09-07 07:10:48+00 | full_load         | aurora_postgresql  | t                           | f
(6 rows)

Job records are deleted after 90 days.

Viewing details of data loading jobs using the job ID

If you know a job ID, you can connect to the cluster endpoint and use the rds_aurora.limitless_data_load_job_details view to see the details of that data loading job, including the table name, job status, and number of rows loaded. You can get the job ID in the responses to the data loading start functions, or from the rds_aurora.limitless_data_load_jobs view.

postgres_limitless=> SELECT * FROM rds_aurora.limitless_data_load_job_details WHERE job_id='1725696114225';

job_id        | destination_table_name | destination_schema_name | start_time             | status    | full_load_rows | full_load_total_rows | full_load_complete_time | cdc_insert | cdc_update | cdc_delete
--------------+------------------------+-------------------------+------------------------+-----------+----------------+----------------------+-------------------------+------------+------------+------------
1725696114225 | standard_1             | public                  | 2024-09-07 08:23:57+00 | COMPLETED | 100000         | 100000               | 2024-09-07 08:24:08+00  | 0          | 0          | 0
1725696114225 | standard_2             | public                  | 2024-09-07 08:24:08+00 | COMPLETED | 100000         | 100000               | 2024-09-07 08:24:17+00  | 0          | 0          | 0
1725696114225 | standard_3             | public                  | 2024-09-07 08:24:18+00 | COMPLETED | 1              | 1                    | 2024-09-07 08:24:20+00  | 0          | 0          | 0
1725696114225 | standard_4             | public                  | 2024-09-07 08:23:58+00 | PENDING   | 0              | 0                    |                         | 0          | 0          | 0
(4 rows)

Job records are deleted after 90 days.

Monitoring the Amazon CloudWatch log group

After the data loading job status changes to RUNNING, you can check the runtime progress using Amazon CloudWatch Logs.

Each log stream shows events containing the job status and the number of rows loaded to the Aurora PostgreSQL Limitless Database destination tables. If a data loading job fails, an error log is also created that shows the failure status and the reason.

Job records are deleted after 90 days.

Monitoring RDS events

The data loading job also publishes RDS events, for example when a job succeeds, fails, or is canceled. You can view the events from the destination database.

For more information, see DB shard group events.