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The SHOW JOBS statement lists all of the types of long-running tasks your cluster has performed in the last 12 hours, including:
- Schema changes through
ALTER TABLE,DROP DATABASE,DROP TABLE, andTRUNCATE IMPORT- Enterprise
BACKUPandRESTORE - User-created table statistics created for use by the cost-based optimizer
- Scheduled backups
These details can help you understand the status of crucial tasks that can impact the performance of your cluster, as well as help you control them.
To view the automatic table statistics, use SHOW AUTOMATIC JOBS.
To block a call to SHOW JOBS that returns after all specified job ID(s) have a terminal state, use SHOW JOBS WHEN COMPLETE. The statement will return a row per job ID, which provides details of the job execution. Note that while this statement is blocking, it will time out after 24 hours.
Considerations
- The
SHOW JOBSstatement shows only long-running tasks. - For jobs older than 12 hours, query the
crdb_internal.jobstable. - Jobs are deleted after 14 days. This interval can be changed via the
jobs.retention_timecluster setting. - While the
SHOW JOBS WHEN COMPLETEstatement is blocking, it will time out after 24 hours. - Garbage collection jobs are created for dropped tables and dropped indexes, and will execute after the GC TTL has elapsed (default is 25 hours). These jobs cannot be canceled.
Required privileges
By default, only the root user can execute SHOW JOBS.
Synopsis
Parameters
| Parameter | Description |
|---|---|
SHOW AUTOMATIC JOBS |
Show automatic table statistics. For an example, see Show automatic jobs. |
SHOW JOBS WHEN COMPLETE |
Block SHOW JOB until the provided job ID reaches a terminal state. For an example, see Show job when complete. |
select_stmt |
A selection query that specifies the job_id(s) to view. |
job_id |
The ID of the job you want to view. |
for_schedules_clause |
The schedule you want to view jobs for. You can view jobs for a specific schedule (FOR SCHEDULE id) or view jobs for multiple schedules by nesting a SELECT clause in the statement (FOR SCHEDULES <select_clause>). See the examples below. |
Response
The output of SHOW JOBS lists ongoing jobs first, then completed jobs within the last 12 hours. The list of ongoing jobs is sorted by starting time, whereas the list of completed jobs is sorted by finished time.
The following fields are returned for each job:
| Field | Description |
|---|---|
job_id |
A unique ID to identify each job. This value is used if you want to control jobs (i.e., pause, resume, or cancel it). |
job_type |
The type of job. Possible values: SCHEMA CHANGE, BACKUP, RESTORE, IMPORT, and CREATE STATS. For SHOW AUTOMATIC JOBS, the possible value is AUTO CREATE STATS. |
description |
The statement that started the job, or a textual description of the job. |
statement |
When description is a textual description of the job, the statement that started the job is returned in this column. Currently, this field is populated only for the automatic table statistics jobs. |
user_name |
The name of the user who started the job. |
status |
The job's current state. Possible values: pending, running, paused, failed, succeeded, or canceled. |
running_status |
The job's detailed running status, which provides visibility into the progress of the dropping or truncating of tables (i.e., DROP TABLE, DROP DATABASE, or TRUNCATE). For dropping or truncating jobs, the detailed running status is determined by the status of the table at the earliest stage of the schema change. The job is completed when the GC TTL expires and both the table data and ID is deleted for each of the tables involved. Possible values: draining names, waiting for GC TTL, RocksDB compaction, or NULL (when the status cannot be determined). For the SHOW AUTOMATIC JOBS statement, the value of this field is NULL. |
created |
The TIMESTAMP when the job was created. |
started |
The TIMESTAMP when the job began running first. |
finished |
The TIMESTAMP when the job was succeeded, failed, or canceled. |
modified |
The TIMESTAMP when the job had anything modified. |
fraction_completed |
The fraction (between 0.00 and 1.00) of the job that's been completed. |
error |
If the job failed, the error generated by the failure. |
coordinator_id |
The ID of the node running the job. |
Examples
Show jobs
> SHOW JOBS;
job_id | job_type | description |...
+---------------+-----------+-------------------------------------------+...
27536791415282 | RESTORE | RESTORE db.* FROM 'azure://backup/db/tbl' |...
Filter jobs
You can filter jobs by using SHOW JOBS as the data source for a SELECT statement, and then filtering the values with the WHERE clause.
> SELECT * FROM [SHOW JOBS] WHERE job_type = 'RESTORE' AND status IN ('running', 'failed') ORDER BY created DESC;
job_id | job_type | description |...
+---------------+-----------+-------------------------------------------+...
27536791415282 | RESTORE | RESTORE db.* FROM 'azure://backup/db/tbl' |...
Show automatic jobs
> SHOW AUTOMATIC JOBS;
job_id | job_type | description |...
+--------------------+---------------------+-----------------------------------------------------+...
438235476849557505 | AUTO CREATE STATS | Table statistics refresh for defaultdb.public.users |...
(1 row)
Filter automatic jobs
You can filter jobs by using SHOW AUTOMATIC JOBS as the data source for a SELECT statement, and then filtering the values with the WHERE clause.
> SELECT * FROM [SHOW AUTOMATIC JOBS] WHERE status = ('succeeded') ORDER BY created DESC;
job_id | job_type | description | ...
+--------------------+---------------------+-----------------------------------------------------+ ...
438235476849557505 | AUTO CREATE STATS | Table statistics refresh for defaultdb.public.users | ...
(1 row)
Show schema changes
You can show just schema change jobs by using SHOW JOBS as the data source for a SELECT statement, and then filtering the job_type value with the WHERE clause:
> SELECT * FROM [SHOW JOBS] WHERE job_type = 'SCHEMA CHANGE';
job_id | job_type | description |...
+---------------+-----------------+----------------------------------------------------+...
27536791415282 | SCHEMA CHANGE | ALTER TABLE test.public.foo ADD COLUMN bar VARCHAR |...
Scheme change jobs can be paused, resumed, and canceled.
Show job when complete
To block SHOW JOB until the provided job ID reaches a terminal state, use SHOW JOB WHEN COMPLETE:
> SHOW JOB WHEN COMPLETE 27536791415282;
job_id | job_type | description |...
+---------------+-----------+-------------------------------------------+...
27536791415282 | RESTORE | RESTORE db.* FROM 'azure://backup/db/tbl' |...
Show jobs for a schedule
To view jobs for a specific backup schedule, use the schedule's id:
> SHOW JOBS FOR SCHEDULE 590204387299262465;
job_id | job_type | description | statement | user_name | status | running_status | created | started | finished | modified | fraction_completed | error | coordinator_id
---------------------+----------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+-----------+---------+----------------+----------------------------------+---------+----------+----------------------------------+--------------------+-------+-----------------
590205481558802434 | BACKUP | BACKUP INTO '/2020/09/15-161444.99' IN 's3://test/scheduled-backup-0915?AWS_ACCESS_KEY_ID=x&AWS_SECRET_ACCESS_KEY=redacted' AS OF SYSTEM TIME '2020-09-15 16:20:00+00:00' WITH revision_history, detached | | root | running | NULL | 2020-09-15 16:20:18.347383+00:00 | NULL | NULL | 2020-09-15 16:20:18.347383+00:00 | 0 | | 0
(1 row)
You can also view multiple schedules by nesting a SELECT clause that retrieves id(s) inside the SHOW JOBS statement:
> SHOW JOBS FOR SCHEDULES SELECT id FROM [SHOW SCHEDULES] WHERE label = 'test_schedule';
job_id | job_type | description | statement | user_name | status | running_status | created | started | finished | modified | fraction_completed | error | coordinator_id
---------------------+----------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------+-----------+-----------+----------------+----------------------------------+---------+----------------------------------+----------------------------------+--------------------+-------+-----------------
590204496007299074 | BACKUP | BACKUP INTO '/2020/09/15-161444.99' IN 's3://test/scheduled-backup-0915?AWS_ACCESS_KEY_ID=x&AWS_SECRET_ACCESS_KEY=redacted' AS OF SYSTEM TIME '2020-09-15 16:14:44.991631+00:00' WITH revision_history, detached | | root | succeeded | NULL | 2020-09-15 16:15:17.720725+00:00 | NULL | 2020-09-15 16:15:20.913789+00:00 | 2020-09-15 16:15:20.910594+00:00 | 1 | | 0
590205481558802434 | BACKUP | BACKUP INTO '/2020/09/15-161444.99' IN 's3://test/scheduled-backup-0915?AWS_ACCESS_KEY_ID=x&AWS_SECRET_ACCESS_KEY=redacted' AS OF SYSTEM TIME '2020-09-15 16:20:00+00:00' WITH revision_history, detached | | root | succeeded | NULL | 2020-09-15 16:20:18.347383+00:00 | NULL | 2020-09-15 16:20:48.37873+00:00 | 2020-09-15 16:20:48.374256+00:00 | 1 | | 0
(2 rows)
See also
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