说我有一个有关温度预测数据的主题,如下所示:
2018-10-25,Melbourne,21
2018-10-26,Melbourne,17
2018-10-27,Melbourne,21
2018-10-25,Sydney,22
2018-10-26,Sydney,20
2018-10-27,Sydney,23
2018-10-26,Melbourne,18
2018-10-27,Melbourne,22
2018-10-26,Sydney,21
2018-10-27,Sydney,24
每个条目均包含日期,城市和预报温度,并代表该日期对该城市的预报的更新。我可以将其描述为这样的KSQL流:
CREATE STREAM forecasts_csv ( \
date VARCHAR, \
city VARCHAR, \
temperature INTEGER \
) WITH (kafka_topic='forecasts-csv', value_format='DELIMITED');
现在,我想要一个表,该表代表每个城市的当前(即最新)预测温度,以及该城市随时间推移的最低和最高温度。所需的示例输出是:
{ date='2018-10-27', city='Melbourne', latest=22, min=21, max=22 }
我该如何实现?
我设法按如下方式获得总量(最小/最大):
CREATE STREAM forecasts_keyed \
WITH (partitions=4, value_format='JSON') \
AS SELECT date + '/' + city AS forecast_key, * \
FROM forecasts_csv \
PARTITION BY forecast_key;
CREATE TABLE forecasts_minmax \
WITH (partitions=4, value_format='JSON') \
AS SELECT forecast_key, date, city, \
min(temperature) as min, max(temperature) as max \
FROM forecasts_keyed \
GROUP by forecast_key, date, city;
这给了我输出消息,例如:
{"FORECAST_KEY":"2018-10-27/Melbourne","DATE":"2018-10-27","CITY":"Melbourne","MIN":21,"MAX":22}
但是我不知道如何将其与“最新”阅读结合起来。
答案 0 :(得分:2)
您需要实现一个UDAF,我们将其称为LATEST
,它可以保留给定列和键的最新值。这非常简单,您可以在KSQL文档中找到如何添加自定义UDAF:https://docs.confluent.io/current/ksql/docs/developer-guide/udf.html#udafs
假设您拥有LATEST
UDAF,则可以编写以下查询:
CREATE TABLE foo AS
SELECT
date,
city,
MIN(temperature) AS minValue,
MAX(temperature) AS maxValue,
LATEST(temperature) AS latestValue
FROM forecasts_csv
GROUP BY date, city;