1、csv连接器
CREATE TABLE employee_information (
    emp_id INT,
    name VARCHAR,
    dept_id INT
) WITH (
    'connector' = 'filesystem',
    'path' = '/path/to/something.csv',
    'format' = 'csv'
);
2、jdbc连接器
https://nightlies.apache.org/flink/flink-docs-release-1.13/zh/docs/connectors/table/jdbc/
CREATE TABLE MyUserTable (
  id BIGINT,
  name STRING,
  age INT,
  status BOOLEAN,
  PRIMARY KEY (id) NOT ENFORCED
) WITH (
   'connector' = 'jdbc',
   'url' = 'jdbc:mysql://localhost:3306/mydatabase',
   'table-name' = 'users'
);
3、kafka连接器
https://nightlies.apache.org/flink/flink-docs-release-1.13/zh/docs/connectors/table/kafka/
CREATE TABLE KafkaTable (
  `event_time` TIMESTAMP(3) METADATA FROM 'timestamp',
  `partition` BIGINT METADATA VIRTUAL,
  `offset` BIGINT METADATA VIRTUAL,
  `user_id` BIGINT,
  `item_id` BIGINT,
  `behavior` STRING
) WITH (
  'connector' = 'kafka',
  'topic' = 'user_behavior',
  'properties.bootstrap.servers' = 'localhost:9092',
  'properties.group.id' = 'testGroup',
  'scan.startup.mode' = 'earliest-offset',
  'format' = 'csv'
);