AI代码助手复制代码 通过Stream创建另一个Stream 将Stream cr7_topic_stream中orderid为单数的数据写入新的Stream s3中: ksql>CREATESTREAM s3ASSELECT*FROMcr7_topic_streamWHERE(orderid%2)!=0EMIT CHANGES; AI代码助手复制代码 查看Stream s3,可以看到只有orderid为单数的数据: ksql>select*froms3 emit changes;+...
CREATESTREAM“enriched_brand_products”WITH(kafka_topic=‘enriched_brand_products’)ASSELECT“brand”.“id”as”brand_id”,”brand”.”tenant_id”as”tenant_id”,CAST(brand_product.idASVARCHAR)as”id”,brand_product.nameAS”name”FROM”brand_products”ASbrand_productINNERJOIN”brands_table” ”bra...
ksql> CREATE STREAM s3 AS SELECT * FROM cr7_topic_stream WHERE (orderid%2) != 0 EMIT CHANGES; 查看Stream s3,可以看到只有orderid为单数的数据: ksql> select * from s3 emit changes; +---+---+---+---+ |ORDERAMOUNT |ORDERID |PRODUCTID |PRODUCTNUM | +---+---...
ksql> CREATE STREAM s3 AS SELECT * FROM cr7_topic_stream WHERE (orderid%2) != 0 EMIT CHANGES; 1. 2. 查看Stream s3,可以看到只有orderid为单数的数据: ksql> select * from s3 emit changes; +---+---+---+---+ |ORDERAMOUNT |ORDERID |PRODUCTID |PRODUCTNUM | +---+---...
ksql> CREATE STREAM s3 AS SELECT * FROM cr7_topic_stream WHERE (orderid%2) != 0 EMIT CHANGES; 查看Stream s3,可以看到只有orderid为单数的数据: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ksql> select * from s3 emit changes; +---+---+---+---+ |ORDERAMOUNT |ORDERID |PRODU...
This persistent query (or materialized view) runs on the server indefinitely and processes events from the source stream or table. In our case, it should raise an alert when the average reading, per sensor, exceeds a value of 25 over a 30-minute period: CREATE TABLE alerts AS SELECT ...
FORMAT='json'); CREATE TABLE T_CUSTOMERAS SELECT id, latest_by_offset(first_name) as fist_name, latest_by_offset(last_name) as last_name, latest_by_offset(email) as email FROM s_customer GROUP BY id EMIT CHANGES; CREATE STREAM S_PRODUCT (ID INT, NAME string...
CREATE TABLE hourly_metrics AS SELECT url, COUNT(*) FROM page_views WINDOW TUMBLING (SIZE 1 HOUR) GROUP BY url EMIT CHANGES; 1. 2. 3. 4. 5. 结果可以通过查询按需从物化视图中**“提取” 。**SELECT以下查询将返回单行: SELECT * FROM hourly_metrics ...
CREATE TABLE possible_fraud AS SELECT card_number, count(*) FROM authorization_attempts WINDOW TUMBLING (SIZE 5 SECONDS) GROUP BY card_number HAVING count(*) > 3 EMIT CHANGES; 监控 Kafka 通过流处理提供可扩展的有序记录的能力使其成为日志数据监控和警报的通用解决方案。ksqlDB 为跟踪、理解和管理警...
ksql> select * from users; Can't pull from `USERS` as it's not a materialized table. See https://cnfl.io/queries for more info. Add EMIT CHANGES if you intended to issue a push query. 但是做些修改就可以正常运行 ksql> SELECT 'Hello, ' + USERNAME AS GREETING FROM users EMIT CHANGES...