Managing Tables on the Flink Web UI

Scenario

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

Creating a Stream Table

1. Access the Flink web UI. For details, see Accessing the Flink Web UI.
2. Click Table Management. The table management page is displayed.
3. Click Create Stream Table. On the stream table creation page, set parameters by referring to Table 1 and click OK.

   Table 1 Parameters for creating a stream table

   Parameter	Description	Remarks
   Stream/Table Name	Stream/Table name, which can contain 1 to 64 characters. Only letters, digits, and underscores (_) are allowed.	Example: flink_sink
   Description	Stream/Table description information, which can contain 1 to 1024 characters.	-
   Mapping Table Type	Flink SQL does not provide the data storage function. Table creation is actually the creation of mapping for external data tables or storage. The value can be Kafka or HDFS.	-
   Type	Includes data source table Source and data result table Sink. Tables included in different mapping table types are as follows: Kafka: Source and Sink HDFS: Source and Sink	-
   Data Connection	Name of the data connection.	-
   Topic	Kafka topic to be read. Multiple Kafka topics can be read. Use separators to separate topics. This parameter is available when Mapping Table Type is set to Kafka.	-
   File Path	HDFS directory or a single file path to be transferred. This parameter is available when Mapping Table Type is set to HDFS.	Example: /user/sqoop/ or /user/sqoop/example.csv
   Code	Codes corresponding to different mapping table types are as follows: Kafka: CSV and JSON HDFS: CSV	-
   Prefix	When Mapping Table Type is set to Kafka, Type is set to Source, and Code is set to JSON, this parameter indicates the hierarchical prefixes of multi-layer nested JSON, which are separated by commas (,).	For example, data,info indicates that the content under data and info in the nested JSON file is used as the data input in JSON format.
   Separator	Has different meanings when Mapping Table Type is set to the following values: It is used as the separator of specified CSV fields. This parameter is available only when Code is set to CSV.	Example: comma (,)
   Row Separator	Line break in the file, including \r, \n, and \r\n. This parameter is available when Mapping Table Type is set to HDFS.	-
   Column Separator	Field separator in the file. This parameter is available when Mapping Table Type is set to HDFS.	Example: comma (,)
   Stream Table Structure	Stream/Table structure, including Name and Type.	-
   Proctime	System time, which is irrelevant to the data timestamp. That is, the time when the calculation is complete in Flink operators. This parameter is available when Type is set to Source.	-
   Event Time	Time when an event is generated, that is, the timestamp generated during data generation. This parameter is available when Type is set to Source.	-

Editing a Stream Table

1. Access the Flink web UI. For details, see Accessing the Flink Web UI.
2. Click Table Management. The table management page is displayed.
3. In the Operation column of the item to be modified, click Edit. On the displayed page, modify the stream table information by referring to Table 1 and click OK.

Searching for a stream table

1. Access the Flink web UI. For details, see Accessing the Flink Web UI.
2. Click Table Management. The table management page is displayed.
3. In the upper right corner of the page, you can enter a keyword to search for stream table information.

Deleting a Stream Table

1. Access the Flink web UI. For details, see Accessing the Flink Web UI.
2. Click Table Management. The table management page is displayed.
3. In the Operation column of the item to be deleted, click Delete, and click OK in the displayed page.