Shulou(Shulou.com)06/02 Report--

In this issue, the editor will bring you about which data types are supported by Flink. The article is rich in content and analyzes and narrates it from a professional point of view. I hope you can get something after reading this article.

There are seven data types in Flink:

Java Tuples and Scala Case Classes

Java POJOs

Primitive Types

Regular Classes

Values

Hadoop Writables

Special Types

Tuple

Tuple is a combined data type that contains a fixed number of different categories of fields. The range can range from Tuple0 to Tuple25, indicating the number of fields contained.

POJO

The role of POJO defined in java and scala is the same, and the class of POJO must meet the following conditions:

Must be decorated with public

There must be a public no-parameter constructor

All fields must either be public or must have setter and getter methods

Type must be supported by Flink

Values

Need to serialize and deserialize manually

Hadoop Writeables

Must be a type that implements org.apache.hadoop.Writable.

These are the data types that the editor shares with Flink. If you happen to have similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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