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MapReduce Service
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      Help Center/ MapReduce Service/ Component Operation Guide (LTS)/ Using Flink/ Using the Flink Web UI/ Overview/ Flink Web UI Application Process

      Flink Web UI Application Process

      Updated on 2022-11-18 GMT+08:00
      View PDF

      The Flink web UI application process is shown as follows:

      Figure 1 Application process
      Table 1 Description of the Flink web UI application process

      Phase

      Description

      Reference Section

      Creating an application

      Applications can be used to isolate different upper-layer services.

      Creating an Application on the Flink Web UI

      Creating a cluster connection

      Different clusters can be accessed by configuring the cluster connection.

      Creating a Cluster Connection on the Flink Web UI

      Creating a data connection

      Different data services can be accessed, such as HDFS, Kafka, through the data connection.

      Creating a Data Connection on the Flink Web UI

      Creating a stream table

      Data tables can be used to define basic attributes and parameters of source tables, dimension tables, and output tables.

      Managing Tables on the Flink Web UI

      Creating a SQL/JAR job (stream/batch job)

      APIs can be used to define Flink jobs, including Flink SQL and Flink Jar jobs.

      Managing Jobs on the Flink Web UI

      Managing a job

      A created job can be managed, including starting, developing, stopping, deleting, and editing the job.

      Managing Jobs on the Flink Web UI
      Parent topic: Overview
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