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AnalyticDB for MySQL:Asynchronously submit an import job

Last Updated:Mar 11, 2024

AnalyticDB for MySQL allows you to asynchronously submit an import job.

Scenarios

When you execute the INSERT INTO or INSERT OVERWRITE SELECT statement to import data, the statement is synchronously executed by default. If hundreds of gigabytes of data is imported, the connection between the client and the AnalyticDB for MySQL server may be closed. In this case, the data import job fails. When a large amount of data is involved, we recommend that you asynchronously submit import jobs.

Asynchronously submit a job

Syntax

SUBMIT JOB INSERT OVERWRITE table_name 
select_statement;

Examples

SUBMIT JOB INSERT OVERWRITE test SELECT * FROM test_external_table;

After you execute the preceding statement, a job ID is returned. You can use the job ID to query the status of the asynchronous job.

+---------------------------------------+
| job_id                                |
+---------------------------------------+
| 2017112122202917203100908203303000715 |

Configure priority-based scheduling

AnalyticDB for MySQL V3.1.3.6 and later support priority-based scheduling. You can add the /*+async_job_priority=n*/ hint to the beginning of the job submission statement to specify the priority for an asynchronous job. The default priority value is 1. A greater value specifies a higher priority for scheduling the job.

/*+async_job_priority=10*/ SUBMIT JOB INSERT OVERWRITE test SELECT * FROM test_external_table;

Query the status of an asynchronous job

Syntax

SHOW JOB STATUS WHERE job='job_id';

Examples

SHOW JOB STATUS WHERE job='2017112122202917203100908203303000715';

The following information is returned:

+---------------------------------------+-------------+---------+----------+-----------------------+-----------------------+----------------------------------------------------------------+
| job_id                                | schema_name | status  | fail_msg | create_time           | update_time           | definition                                                     |
+---------------------------------------+-------------+---------+----------+-----------------------+-----------------------+----------------------------------------------------------------+
| 2017112122202917203100908203303000715 | test        | RUNNING | NULL     | 2023-06-21 22:20:31.0 | 2023-06-21 22:20:40.0 |  INSERT OVERWRITE test SELECT * FROM test_external_table       |
Note

Fields in the returned information vary based on cluster minor versions. We recommend that you parse asynchronous jobs based on the status field.

Job status and mappings

Status in Data Warehouse Edition

Status in Data Lakehouse Edition

Description

INIT

SUBMITTING

The job is submitted.

SUBMITTED

RUNNING

The job is running.

RUNNING

FINISH

SUCCEEDED

The job is successful.

FAILED

FAILED

The job fails.

None

CANCELLED

The job is canceled.

Note
  • The CANCELLED state is new and unavailable in Data Warehouse Edition (V3.0).

Terminate a job

Description

  • Unscheduled, failed, and successful jobs are removed from the queue.

  • If a running job is terminated, the data imported by the job may be rolled back. We recommend that you manually delete the residual data.

Syntax

CANCEL JOB 'job_id';

Examples

CANCEL JOB '2017112122202917203100908203303000715';