使用flink sqlserver cdc 同步数据到StarRocks

• 大数据

前沿： flink cdc功能越发强大，支持的数据源也越多，本篇介绍使用flink cdc实现：

sqlserver-》（using flink cdc）-〉flink -》（using flink starrocks connector）-〉starrocks整个流程

使用flink sqlserver cdc 同步数据到StarRocks

1.sqlserver 环境准备（得使用sqlserver 16以下版本，flink cdc当前只支持16以下sqlserver版本）

我这个使用的是docker环境：

xiuchenggong@xiuchengdeMacBook-Pro ~ % docker images
REPOSITORY                                          TAG                            IMAGE ID       CREATED         SIZE
starrocks.docker.scarf.sh/starrocks/allin1-ubuntu   latest                         4d3c0066a012   3 days ago      4.71GB
mcr.microsoft.com/mssql/server                      2019-latest                    e7fc0b49be3c   4 weeks ago     1.47GB
mcr.microsoft.com/mssql/server                      2022-latest                    683d523cd395   5 weeks ago     2.9GB
federatedai/standalone_fate                         latest                         6019ec787699   9 months ago    5.29GB
milvusdb/milvus                                     v2.1.4                         d9a5c977c414   11 months ago   711MB
starrocks/dev-env                                   main                           8f4edba3b115   16 months ago   7.65GB
minio/minio                                         RELEASE.2022-03-17T06-34-49Z   239acc52a73a   17 months ago   228MB
kicbase/stable                                      v0.0.29                        64d09634c60d   20 months ago   1.14GB
quay.io/coreos/etcd                                 v3.5.0                         a7908fd5fb88   2 years ago     110MB
docker run -e 'ACCEPT_EULA=Y' -e 'SA_PASSWORD=abc@123456' -p 30027:1433 --name sql_server_2019 -d mcr.microsoft.com/mssql/server:2019-latest


docker exec -it --user root sql_server_2019 bash

开启代理，重启sqlserver环境，连接： 

xiuchenggong@xiuchengdeMacBook-Pro ~ % docker exec -it --user root sql_server_2019 bash
root@99e196828047:/# /opt/mssql/bin/mssql-conf set sqlagent.enabled true
SQL Server needs to be restarted in order to apply this setting. Please run
'systemctl restart mssql-server.service'.
root@99e196828047:/# exit
exit
xiuchenggong@xiuchengdeMacBook-Pro ~ % docker restart sql_server_2019
sql_server_2019
xiuchenggong@xiuchengdeMacBook-Pro ~ % docker exec -it --user root sql_server_2019 bash

root@99e196828047:/# /opt/mssql-tools/bin/sqlcmd -S localhost -U SA -P "abc@123456"

开启sqlserver cdc功能：

root@99e196828047:/# /opt/mssql-tools/bin/sqlcmd -S localhost -U SA -P "abc@123456"
1> use cdc_test;
2> go
Changed database context to 'cdc_test'.
1> EXEC sys.sp_cdc_enable_db;
2> go
1> SELECT is_cdc_enabled FROM sys.databases WHERE name = 'cdc_test';
2> go
is_cdc_enabled

1> CREATE TABLE orders (id int,order_date date,purchaser int,quantity int,product_id int,PRIMARY KEY ([id]))
2> go
1>
2>
3> EXEC sys.sp_cdc_enable_table
4> @source_schema = 'dbo',
5> @source_name   = 'orders',
6> @role_name     = 'cdc_role';
7> go


Job 'cdc.cdc_test_capture' started successfully.
Job 'cdc.cdc_test_cleanup' started successfully.

插入一些数据：

1> select * from orders;
2> go
id          order_date       purchaser   quantity    product_id
----------- ---------------- ----------- ----------- -----------
          1       2023-07-07           1           1           1
          2       2023-07-07           2           2           2
          3       2023-07-07           3           3           3
          4       2023-07-07           4           4           4
         45       2023-07-07           5           5           5

(5 rows affected)
1> update orders set quantity = 100 where id =1 ;
2> go

(1 rows affected)
1> select * from orders;
2> go
id          order_date       purchaser   quantity    product_id
----------- ---------------- ----------- ----------- -----------
          1       2023-07-07           1         100           1
          2       2023-07-07           2           2           2
          3       2023-07-07           3           3           3
          4       2023-07-07           4           4           4
         45       2023-07-07           5           5           5

(5 rows affected)
1> update orders set quantity = 200 where id = 2;
2> go

2.准备flink环境：

  • 下载flink 1.16.2 （官网下载）
  • 下载flink sqlserver cdc 2.2.0 （Central Repository: com/ververica/flink-cdc-connectors）
  • 下载flink starrocks connector 1.15（这个应该也要下载对应版本1.16.2,但官方还没出，我拿1.15测试了也ok）下载链接：Release Release 1.2.6 · StarRocks/starrocks-connector-for-apache-flink · GitHub

使用flink sqlserver cdc 同步数据到StarRocks

3.准备starrocks docker环境：

见链接：使用 Docker 部署 StarRocks @ deploy_with_docker @ StarRocks Docs

4.启动flink环境（cd {FLINK_HOME}）：

xiuchenggong@xiuchengdeMacBook-Pro bin % ./start-cluster.sh 
Starting cluster.
Starting standalonesession daemon on host xiuchengdeMacBook-Pro.local.
Starting taskexecutor daemon on host xiuchengdeMacBook-Pro.local.
xiuchenggong@xiuchengdeMacBook-Pro bin % ./sql-client.sh embedded
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/Users/xiuchenggong/flink/flink-1.16.2/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/Users/xiuchenggong/flink/hadoop-3.3.1/share/hadoop/common/lib/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]

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建sqlsever到flink的表：

Flink SQL> CREATE TABLE t_source_sqlserver (
>     id INT,
>     order_date DATE,
>     purchaser INT,
>     quantity INT,
>     product_id INT,
>     PRIMARY KEY (id) NOT ENFORCED -- 主键定义（可选）
> ) WITH (
>     'connector' = 'sqlserver-cdc',  -- 使用SQL Server CDC连接器
>     'hostname' = 'localhost',  -- SQL Server主机名
>     'port' = '30027',               -- SQL Server端口
>     'username' = 'sa',              -- SQL Server用户名
>     'password' = 'abc@123456',      -- SQL Server密码
>     'database-name' = 'cdc_test',   -- 数据库名称
>     'schema-name' = 'dbo',          -- 模式名称
>     'table-name' = 'orders'         -- 要捕获更改的表名
> );

 再建flink到starrocks的表：

Flink SQL> 
> 
> CREATE TABLE IF NOT EXISTS `orders_sink` (
>      id int,
>      order_date date,
>      purchaser int,
>      quantity int,
>      product_id int,
>      PRIMARY KEY(`id`) NOT ENFORCED
> ) with (
> 'load-url' = 'localhost:8030',
> 'sink.buffer-flush.interval-ms' = '15000',
> 'sink.properties.row_delimiter' = '\x02',
> 'sink.properties.column_separator' = '\x01',
> 'connector' = 'starrocks',
> 'database-name' = 'test',
> 'table-name' = 'orders',
> 'jdbc-url' = 'jdbc:mysql://localhost:9030',
> 'password' = '',
> 'username' = 'root'
> )
> ;
[INFO] Execute statement succeed.


Flink SQL> show tables;
+--------------------+
|         table name |
+--------------------+
|        orders_sink |
| t_source_sqlserver |
+--------------------+
2 rows in set

提交作业：

Flink SQL> insert into orders_sink select * from t_source_sqlserver;
[INFO] Submitting SQL update statement to the cluster...
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.flink.api.java.ClosureCleaner (file:/Users/xiuchenggong/flink/flink-1.16.2/lib/flink-dist-1.16.2.jar) to field java.lang.Class.ANNOTATION
WARNING: Please consider reporting this to the maintainers of org.apache.flink.api.java.ClosureCleaner
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
[INFO] SQL update statement has been successfully submitted to the cluster:
Job ID: 746cc173cd71133e96d080f25327e9bc

flink webui看到长期驻留的作业：

使用flink sqlserver cdc 同步数据到StarRocks

5.验证在sqlserver中的数据是不是已经同步到starrocks中了，insert/update/delete：

StarRocks > select * from orders;
+------+------------+-----------+----------+------------+
| id   | order_date | purchaser | quantity | product_id |
+------+------------+-----------+----------+------------+
|    1 | 2023-07-07 |         1 |      100 |          1 |
|    3 | 2023-07-07 |         3 |        3 |          3 |
|    4 | 2023-07-07 |         4 |        4 |          4 |
|   45 | 2023-07-07 |         5 |        5 |          5 |
|    2 | 2023-07-07 |         2 |      200 |          2 |
+------+------------+-----------+----------+------------+
5 rows in set (0.016 sec)

StarRocks >

数据的增删改都同步过去了；

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