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Querying Jobs

Here is how we can view all jobs in the current project:

SELECT *
FROM jobs;

On execution, we get:

+------------------------------------+---------+----------------------------+----------------------------+----------------------------+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| NAME                               | PROJECT | RUN_START                  | RUN_END                    | NEXT_RUN_AT                | SCHEDULE_STR  | QUERY                                                                                                                                                                                                                                   |
+------------------------------------+---------+----------------------------+----------------------------+----------------------------+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| drop_model                         | mindsdb | 2023-04-01 00:00:00.000000 | [NULL]                     | 2023-04-01 00:00:00.000000 | [NULL]        | DROP MODEL mindsdb.home_rentals_model                                                                                                                                                                                                   |
| retrain_model_and_save_predictions | mindsdb | 2023-02-15 19:19:43.210122 | 2023-04-01 00:00:00.000000 | 2023-02-15 19:19:43.210122 | every 2 days  | RETRAIN mindsdb.home_rentals_model USING join_learn_process = true; INSERT INTO my_integration.rentals (SELECT m.rental_price, m.rental_price_explain FROM mindsdb.home_rentals_model AS m JOIN example_db.demo_data.home_rentals AS d) |
| save_predictions                   | mindsdb | 2023-02-15 19:19:48.545580 | [NULL]                     | 2023-02-15 19:19:48.545580 | every hour    | CREATE TABLE my_integration.`result_{{START_DATETIME}}` (SELECT m.rental_price, m.rental_price_explain FROM mindsdb.home_rentals_model AS m JOIN example_db.demo_data.home_rentals AS d)                                                |
+------------------------------------+---------+----------------------------+----------------------------+----------------------------+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

We can also view jobs from a defined project:

SELECT *
FROM my_project.jobs;

Or from all projects at once:

SELECT *
FROM information_schema.jobs;

​
Querying Jobs History

You can query the history of jobs similar to querying for jobs. Here you can find information about an error if the job didn’t execute successfully.

Here is how we can view all jobs history in the current project:

SELECT *
FROM jobs_history;

On execution, we get:

+------------------------------------+---------+----------------------------+----------------------------+----------------------------+--------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| NAME                               | PROJECT | RUN_START                  | RUN_END                    | NEXT_RUN_AT                | ERROR  | QUERY                                                                                                                                                                                                                                   |
+------------------------------------+---------+----------------------------+----------------------------+----------------------------+--------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| retrain_model_and_save_predictions | mindsdb | 2023-02-15 19:19:43.210122 | 2023-04-01 00:00:00.000000 | 2023-02-15 19:19:43.210122 | [NULL] | RETRAIN mindsdb.home_rentals_model USING join_learn_process = true; INSERT INTO my_integration.rentals (SELECT m.rental_price, m.rental_price_explain FROM mindsdb.home_rentals_model AS m JOIN example_db.demo_data.home_rentals AS d) |
| save_predictions                   | mindsdb | 2023-02-15 19:19:48.545580 | [NULL]                     | 2023-02-15 19:19:48.545580 | [NULL] | CREATE TABLE my_integration.`result_{{START_DATETIME}}` (SELECT m.rental_price, m.rental_price_explain FROM mindsdb.home_rentals_model AS m JOIN example_db.demo_data.home_rentals AS d)                                                |
+------------------------------------+---------+----------------------------+----------------------------+----------------------------+--------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

Please note that the drop_model job is not in the jobs_history table because it didn’t start yet.

We can also view jobs history from a defined project:

SELECT *
FROM my_project.jobs_history;

Or from all projects at once:

SELECT *
FROM information_schema.jobs_history;