TIMESTAMP 的 KSQL STRUCT 字段

KSQL STRUCT Fields For TIMESTAMP

有什么办法可以做到这一点

JSON数据

"Header": {
    "StoreID": 10225,
    "BusinessDate": "2019-05-03",
    "PeriodBusinessDate": "2019-05-03",
    "ProcessMode": "Partial"
  }

我尝试了这个但是给了我: 定义的模式中不存在 WITH 子句 HEADER->BUSINESSDATE 中提供的时间戳列名称的列。

CREATE STREAM test2 (HEADER STRUCT<StoreID int,BusinessDate VARCHAR>) WITH (KAFKA_TOPIC='hermes__output__tfrema__v1',VALUE_FORMAT='JSON',
timestamp='HEADER->BusinessDate',timestamp_format='yyyy-MMM-dd');

您不能在 TIMESTAMP 参数中使用嵌套字段。您需要先提取它,然后再使用它。例如:

CREATE STREAM X (COL1 INT, COL2 VARCHAR, HEADER STRUCT<StoreID int,BusinessDate VARCHAR>) 
  WITH (KAFKA_TOPIC='hermes__output__tfrema__v1',VALUE_FORMAT='JSON')

CREATE STREAM Y AS 
  SELECT COL1, COL2, HEADER->BusinessDate AS BusinessDate, HEADER 
  FROM X;

CREATE STREAM Z COL1 INT, COL2 VARCHAR, BusinessDate VARCHAR, HEADER STRUCT<StoreID int,BusinessDate VARCHAR>) 
  WITH (KAFKA_TOPIC='Y',VALUE_FORMAT='JSON',timestamp='BusinessDate',timestamp_format='yyyy-MMM-dd');)

如果您使用的是 Avro,则可以简化事情,因为架构不需要重述:

CREATE STREAM X (COL1 INT, COL2 VARCHAR, HEADER STRUCT<StoreID int,BusinessDate VARCHAR>) 
  WITH (KAFKA_TOPIC='hermes__output__tfrema__v1',VALUE_FORMAT='JSON')

CREATE STREAM Y WITH (VALUE_FORMAT='AVRO') 
  AS SELECT COL1, COL2, HEADER->BusinessDate, HEADER FROM X;

CREATE STREAM Z 
  WITH (KAFKA_TOPIC='Y',VALUE_FORMAT='JSON',timestamp='BusinessDate',timestamp_format='yyyy-MMM-dd');)