目录

1. 环境介绍

2. mysql建表

3. flinksql建表

3.1 进入flinksql客户端 

​3.2 配置输出格式

​3.3 flink建表

3.4 任务流配置

4. 测试

4.1 插入测试数据

4.2 查看结果表数据​

4.3 新增测试数据

4.4 再次查看结果表数据

1. 环境介绍

2. mysql中建表

CREATE TABLE class="lazy" data-src_mysql_order( order_id BIGINT, store_id BIGINT, sales_amt double, PRIMARY KEY (`order_id`));CREATE TABLE class="lazy" data-src_mysql_order_detail( order_id BIGINT, store_id BIGINT, goods_id BIGINT, sales_amt double, PRIMARY KEY (order_id,store_id,goods_id));CREATE TABLE dim_store( store_id BIGINT, store_name varchar(100), PRIMARY KEY (`store_id`) );CREATE TABLE dim_goods( goods_id BIGINT, goods_name varchar(100), PRIMARY KEY (`goods_id`));CREATE TABLE dwa_mysql_order_analysis (store_id BIGINT,store_name varchar(100),sales_goods_distinct_nums bigint,sales_amt double,order_nums bigint,PRIMARY KEY (store_id,store_name));

3. flinksql建表

3.1 进入flinksql客户端 

sql-client.sh embedded

​3.2 配置输出格式

SET sql-client.execution.result-mode=tableau;

​
3.3 flink建表

--mysql中的 订单主表CREATE TABLE class="lazy" data-src_mysql_order( order_id BIGINT, store_id BIGINT, sales_amt double, PRIMARY KEY (`order_id`) NOT ENFORCED) WITH ( 'connector' = 'mysql-cdc', 'hostname' = 'hadoop002', 'port' = '3306', 'username' = 'root', 'password' = 'root', 'database-name' = 'test', 'table-name' = 'class="lazy" data-src_mysql_order', 'scan.incremental.snapshot.enabled' = 'false');--mysql中的 订单明细表CREATE TABLE class="lazy" data-src_mysql_order_detail( order_id BIGINT, store_id BIGINT, goods_id BIGINT, sales_amt double, PRIMARY KEY (order_id,store_id,goods_id) NOT ENFORCED) WITH ( 'connector' = 'mysql-cdc', 'hostname' = 'hadoop002', 'port' = '3306', 'username' = 'root', 'password' = 'root', 'database-name' = 'test', 'table-name' = 'class="lazy" data-src_mysql_order_detail', 'scan.incremental.snapshot.enabled' = 'false');--mysql中的 商店维表CREATE TABLE dim_store( store_id BIGINT, store_name varchar(100), PRIMARY KEY (`store_id`) NOT ENFORCED) WITH ( 'connector' = 'mysql-cdc', 'hostname' = 'hadoop002', 'port' = '3306', 'username' = 'root', 'password' = 'root', 'database-name' = 'test', 'table-name' = 'dim_store', 'scan.incremental.snapshot.enabled' = 'false');--mysql中的 商品维表CREATE TABLE dim_goods( goods_id BIGINT, goods_name varchar(100), PRIMARY KEY (`goods_id`) NOT ENFORCED) WITH ( 'connector' = 'mysql-cdc', 'hostname' = 'hadoop002', 'port' = '3306', 'username' = 'root', 'password' = 'root', 'database-name' = 'test', 'table-name' = 'dim_goods', 'scan.incremental.snapshot.enabled' = 'false');--kafka中的 ods层 订单表CREATE TABLE ods_kafka_order ( order_id BIGINT, store_id BIGINT, sales_amt double, PRIMARY KEY (`order_id`) NOT ENFORCED) WITH ( 'connector' = 'upsert-kafka', 'topic' = 'ods_kafka_order', 'properties.bootstrap.servers' = 'hadoop001:9092', 'properties.group.id' = 'ods_group1',  'key.format' = 'json', 'value.format' = 'json');----kafka中的 ods层 订单明细表CREATE TABLE ods_kafka_order_detail ( order_id BIGINT, store_id BIGINT, goods_id BIGINT, sales_amt double, PRIMARY KEY (order_id,store_id,goods_id) NOT ENFORCED) WITH ( 'connector' = 'upsert-kafka', 'topic' = 'ods_kafka_order_detail', 'properties.bootstrap.servers' = 'hadoop001:9092', 'properties.group.id' = 'ods_group1',  'key.format' = 'json', 'value.format' = 'json');--kafka中的 dwd层 订单表CREATE TABLE dwd_kafka_order ( order_id BIGINT, store_id BIGINT, sales_amt double, PRIMARY KEY (`order_id`) NOT ENFORCED) WITH ( 'connector' = 'upsert-kafka', 'topic' = 'dwd_kafka_order', 'properties.bootstrap.servers' = 'hadoop001:9092', 'properties.group.id' = 'dwd_group1',  'key.format' = 'json', 'value.format' = 'json');--kafka中的 dwd层 订单明细表CREATE TABLE dwd_kafka_order_detail ( order_id BIGINT, store_id BIGINT, goods_id BIGINT, sales_amt double, PRIMARY KEY (order_id,store_id,goods_id) NOT ENFORCED) WITH ( 'connector' = 'upsert-kafka', 'topic' = 'dwd_kafka_order_detail', 'properties.bootstrap.servers' = 'hadoop001:9092', 'properties.group.id' = 'dwd_group1',  'key.format' = 'json', 'value.format' = 'json');--mysql中的dwa 订单指标统计CREATE TABLE dwa_mysql_order_analysis (store_id BIGINT,store_name varchar(100),sales_goods_distinct_nums bigint,sales_amt double,order_nums bigint,PRIMARY KEY (store_id,store_name) NOT ENFORCED) WITH (   'connector' = 'jdbc',   'url' = 'jdbc:mysql://hadoop002:3306/test',   'table-name' = 'dwa_mysql_order_analysis',    'driver' = 'com.mysql.cj.jdbc.Driver',    'username' = 'root',    'password' = 'root','sink.buffer-flush.max-rows' = '10');

3.4 任务流配置

--任务流配置insert into ods_kafka_order select * from class="lazy" data-src_mysql_order;insert into ods_kafka_order_detail select * from class="lazy" data-src_mysql_order_detail;insert into dwd_kafka_order select * from ods_kafka_order;insert into dwd_kafka_order_detail select * from ods_kafka_order_detail;insert into dwa_mysql_order_analysisselect orde.store_id as store_id,store.store_name as store_name,count(distinct order_detail.goods_id) as sales_goods_distinct_nums,sum(order_detail.sales_amt) as sales_amt,count(distinct orde.order_id) as order_numsfrom dwd_kafka_order as ordejoin dwd_kafka_order_detailas order_detailon  orde.order_id = order_detail.order_idjoin dim_store as store on  orde.store_id = store.store_id group by orde.store_id,store.store_name ;

查看flink管理界面，可以看到有5个正在运行的任务，实时流就配置好了

​

4. 测试

4.1 插入测试数据

insert into class="lazy" data-src_mysql_order values (20221210001,10000,50),(20221210002,10000,20),(20221210003,10001,10);insert into class="lazy" data-src_mysql_order_detail values (20221210001,10000,100000,30),(20221210001,10000,100001,20),(20221210002,10000,100001,20),(20221210003,10001,100000,10);insert into dim_store values (10000, '宇唐总店'),(10001, '宇唐一店'),(10002, '宇唐二店'),(10003, '宇唐三店');insert into dim_goods values (100000, '天狮达特浓缩枣浆'),(100001, '蜜炼柚子茶');

4.2 查看结果表数据
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4.3 新增测试数据

insert into class="lazy" data-src_mysql_order values  (20221210004,10002,50), (20221210005,10003,30);insert into class="lazy" data-src_mysql_order_detail values (20221210004,10002,100000,30),(20221210004,10002,100001,20),(20221210005,10003,100000,10),(20221210005,10003,100001,20);

 4.4 再次查看结果表数据

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来源地址：https://blog.csdn.net/TangYuG/article/details/128268085