Flink SQL 1.13处理数组类型数据（一行变多行）

Flink 版本： 1.13

需求：解析源数据中嵌套的数组。

Kafka消息样例：

{
    "create_by": "charlie",
    "create_date": "2022-08-08 18:24:23",
    "data_list": [
        {
            "name": "zhangsan",
            "age": 21
        }
    ]
}

Kafka connector 参考：https://nightlies.apache.org/flink/flink-docs-release-1.13/docs/connectors/table/kafka/

对应Flink SQL中的create table DDL为：

CREATE TABLE kafka_source (
    create_by STRING,
    create_date TIMESTAMP(0),
    data_list ARRAY<ROW<
        name    STRING, 
        age     INT
        >>
) WITH ( 
  'connector' = 'kafka',
  'topic' = 'kafka-topic-name',
  'properties.group.id' = 'flink-test',
  'properties.bootstrap.servers' ='localhost:9092',
  'format'='json',
  'scan.startup.mode'='earliest-offset'
);

参考 https://blog.csdn.net/xianpanjia4616/article/details/114811852
然后新建一个view来处理嵌套的数组，展开数组：

create view view_fields as 
select 
    name, 
    age           
from kafka_source, UNNEST(data_list) as T(
    name, 
    age
);