Efficient Data Management and Workflow Orchestration with Apache Doris Job Scheduler

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Efficient Data Management and Workflow Orchestration with Apache Doris Job Scheduler
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Apache Doris 2.1.0's built-in Job Scheduler simplifies task automation with high efficiency, flexibility, and easy integration for seamless data management.

Job scheduling is an important part of data management as it enables regular data updates and cleanups. In a data platform, it is often undertaken by workflow orchestration tools like Apache Airflow and Apache Dolphinscheduler. However, adding another component to the data architecture also means investing extra resources for management and maintenance. That's why Apache Doris 2.1.0 introduces a built-in Job Scheduler.

clause supports an optional STARTS clause with a timestamp to define the start time of the recurring schedule. 1 MINUTE DO INSERT INTO db1.tbl1 SELECT * FROM db2.tbl2; The above statement creates a job named my_job, which is to load data from db2.tbl2 to db1.tbl1 every minute. More examples Create a one-time job: Load data from db2.tbl2 to db1.tbl1 at 2025-01-01 00:00:00.

my_job ON SCHEDULER schedule_load ON SCHEDULE This is used to specify a regular job. You can define the execution frequency of the job. The interval can be measured in weeks, days, hours, and minutes. The : Specifies the job name as a unique identifier. clause supports an optional STARTS clause with a timestamp to define the start time of the recurring schedule.

clause supports an optional STARTS clause with a timestamp to define the start time of the recurring schedule. This is used to specify a regular job. You can define the execution frequency of the job. The interval can be measured in weeks, days, hours, and minutes. clause supports an optional STARTS clause with a timestamp to define the start time of the recurring schedule.

STARTS my_job ON SCHEDULE my_job ON SCHEDULE AT '2025-01-01 00:00:00' DO INSERT INTO db1.tbl1 SELECT * FROM db2.tbl2; my_job ON SCHEDULE my_job ON SCHEDULER

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