数据湖探索 DLI-Redis维表:示例
时间:2024-12-11 09:40:34
示例
从Kafka源表中读取数据,将Redis表作为维表,并将二者生成的宽表信息写入Kafka结果表中,其具体步骤如下:
- 参考增强型跨源连接,根据Redis和Kafka所在的虚拟私有云和子网创建相应的增强型跨源,并绑定所要使用的Flink弹性资源池。
- 设置Redis和Kafka的安全组,添加入向规则使其对Flink的队列网段放通。参考测试地址连通性根据Redis的地址测试队列连通性。如果能连通,则表示跨源已经绑定成功,否则表示未成功。
- 登录Redis客户端,通过如下命令向Redis发送如下数据:
HMSET 330102 area_province_name a1 area_province_name b1 area_county_name c1 area_street_name d1 region_name e1 HMSET 330106 area_province_name a1 area_province_name b1 area_county_name c2 area_street_name d2 region_name e1 HMSET 330108 area_province_name a1 area_province_name b1 area_county_name c3 area_street_name d3 region_name e1 HMSET 330110 area_province_name a1 area_province_name b1 area_county_name c4 area_street_name d4 region_name e1
- 参考创建Flink OpenSource作业,创建flink opensource sql作业,输入以下作业脚本,提交运行作业。该作业脚本将Kafka为数据源,Redis作为维表,数据写入到Kafka结果表中。
如下脚本中的加粗参数请根据实际环境修改。
CREATE TABLE orders ( order_id string, order_channel string, order_time string, pay_amount double, real_pay double, pay_time string, user_id string, user_name string, area_id string, proctime as Proctime() ) WITH ( 'connector' = 'kafka', 'topic' = 'kafkaSourceTopic', 'properties.bootstrap.servers' = 'KafkaAddress1:KafkaPort,KafkaAddress2:KafkaPort', 'properties.group.id' = 'GroupId', 'scan.startup.mode' = 'latest-offset', 'format' = 'json' ); --创建地址维表 create table area_info ( area_id string, area_province_name string, area_city_name string, area_county_name string, area_street_name string, region_name string, primary key (area_id) not enforced -- redis的key ) WITH ( 'connector' = 'redis', 'host' = 'RedisIP', 'password' = 'RedisPassword', 'data-type' = 'hash', 'deploy-mode' = 'master-replica' ); --根据地址维表生成详细的包含地址的订单信息宽表 create table order_detail( order_id string, order_channel string, order_time string, pay_amount double, real_pay double, pay_time string, user_id string, user_name string, area_id string, area_province_name string, area_city_name string, area_county_name string, area_street_name string, region_name string ) with ( 'connector' = 'kafka', 'topic' = 'kafkaSinkTopic', 'properties.bootstrap.servers' = 'KafkaAddress1:KafkaPort,KafkaAddress2:KafkaPort', 'format' = 'json' ); insert into order_detail select orders.order_id, orders.order_channel, orders.order_time, orders.pay_amount, orders.real_pay, orders.pay_time, orders.user_id, orders.user_name, area.area_id, area.area_province_name, area.area_city_name, area.area_county_name, area.area_street_name, area.region_name from orders left join area_info for system_time as of orders.proctime as area on orders.area_id = area.area_id;
- 连接Kafka集群,向Kafka的source topic中插入如下测试数据:
{"order_id":"202103241606060001", "order_channel":"appShop", "order_time":"2021-03-24 16:06:06", "pay_amount":"200.00", "real_pay":"180.00", "pay_time":"2021-03-24 16:10:06", "user_id":"0001", "user_name":"Alice", "area_id":"330106"} {"order_id":"202103251202020001", "order_channel":"miniAppShop", "order_time":"2021-03-25 12:02:02", "pay_amount":"60.00", "real_pay":"60.00", "pay_time":"2021-03-25 12:03:00", "user_id":"0002", "user_name":"Bob", "area_id":"330110"} {"order_id":"202103251505050001", "order_channel":"appShop", "order_time":"2021-03-25 15:05:05", "pay_amount":"500.00", "real_pay":"400.00", "pay_time":"2021-03-25 15:10:00", "user_id":"0003", "user_name":"Cindy", "area_id":"330108"}
- 连接Kafka集群,在Kafka的sink topic读取数据,结果数据参考如下:
{"order_id":"202103241606060001","order_channel":"appShop","order_time":"2021-03-24 16:06:06","pay_amount":200.0,"real_pay":180.0,"pay_time":"2021-03-24 16:10:06","user_id":"0001","user_name":"Alice","area_id":"330106","area_province_name":"a1","area_city_name":"b1","area_county_name":"c2","area_street_name":"d2","region_name":"e1"} {"order_id":"202103251202020001","order_channel":"miniAppShop","order_time":"2021-03-25 12:02:02","pay_amount":60.0,"real_pay":60.0,"pay_time":"2021-03-25 12:03:00","user_id":"0002","user_name":"Bob","area_id":"330110","area_province_name":"a1","area_city_name":"b1","area_county_name":"c4","area_street_name":"d4","region_name":"e1"} {"order_id":"202103251505050001","order_channel":"appshop","order_time":"2021-03-25 15:05:05","pay_amount":500.0,"real_pay":400.0,"pay_time":"2021-03-25 15:10:00","user_id":"0003","user_name":"Cindy","area_id":"330108","area_province_name":"a1","area_city_name":"b1","area_county_name":"c3","area_street_name":"d3","region_name":"e1"}
support.huaweicloud.com/sqlref-flink-dli/dli_08_15064.html
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