Spark task submitting method and device and server
A server and task technology, applied in the field of big data processing, can solve problems such as irregular use of kerberos permissions, low authentication efficiency, and prone to repetitive work
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[0030] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0031] In a big data system, there are many data processing tasks running. The scheduling system can manage and schedule the tasks, which greatly improves the efficiency of the big data system. Airflow is currently the most widely used task scheduling system.
[0032]In related technologies, the technical solution usually adopted for submitting spark tasks and executing permission authentication is to use the BashOperator operator of Airflow to call the spark-submit command of spark through the user's own shell script to ...
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