doc-exports/docs/mrs/umn/mrs_08_0046.html
Yang, Tong 3b1f73dece MRS UMN 2.0.38.SP20 version
Reviewed-by: Hasko, Vladimir <vladimir.hasko@t-systems.com>
Co-authored-by: Yang, Tong <yangtong2@huawei.com>
Co-committed-by: Yang, Tong <yangtong2@huawei.com>
2022-12-13 12:03:34 +00:00

1.0 KiB

Job Management

The job management function provides an entry for you to submit jobs in a cluster, including MapReduce, Spark, HiveQL, and SparkSQL jobs. MRS works with Data Lake Governance Center (DGC) to provide a one-stop big data collaboration development environment and fully-managed big data scheduling capabilities, helping you effortlessly build big data processing centers.

DGC allows you to develop and debug MRS HiveQL/SparkSQL scripts online and develop MRS jobs by performing drag-and-drop operations to migrate and integrate data between MRS and over 20 heterogeneous data sources. Powerful job scheduling and flexible monitoring and alarming help you easily manage data and job O&M.