# 演示: OceanBase CDC 导入 Elasticsearch ## 视频教程 - [YouTube](https://www.youtube.com/watch?v=ODGE-73Dntg&t=2s) - [Bilibili](https://www.bilibili.com/video/BV1Zg411a7ZB/?spm_id_from=333.999.0.0) ### 准备教程所需要的组件 #### 配置并启动容器 配置 `docker-compose.yml`。 ```yaml version: '2.1' services: observer: image: oceanbase/oceanbase-ce:3.1.4 container_name: observer environment: - 'OB_ROOT_PASSWORD=pswd' network_mode: "host" oblogproxy: image: whhe/oblogproxy:1.0.3 container_name: oblogproxy environment: - 'OB_SYS_USERNAME=root' - 'OB_SYS_PASSWORD=pswd' network_mode: "host" elasticsearch: image: 'elastic/elasticsearch:7.6.0' container_name: elasticsearch environment: - cluster.name=docker-cluster - bootstrap.memory_lock=true - ES_JAVA_OPTS=-Xms512m -Xmx512m - discovery.type=single-node ports: - '9200:9200' - '9300:9300' ulimits: memlock: soft: -1 hard: -1 nofile: soft: 65536 hard: 65536 kibana: image: 'elastic/kibana:7.6.0' container_name: kibana ports: - '5601:5601' volumes: - '/var/run/docker.sock:/var/run/docker.sock' ``` 在 `docker-compose.yml` 所在目录下执行下面的命令来启动本教程需要的组件: ```shell docker-compose up -d ``` ### 准备数据: 使用新创建的用户名和密码进行登陆。 ```shell docker-compose exec observer obclient -h127.0.0.1 -P2881 -uroot -ppswd ``` ```sql CREATE DATABASE ob; USE ob; CREATE TABLE products ( id INTEGER NOT NULL AUTO_INCREMENT PRIMARY KEY, name VARCHAR(255) NOT NULL, description VARCHAR(512) ); ALTER TABLE products AUTO_INCREMENT = 101; INSERT INTO products VALUES (default,"scooter","Small 2-wheel scooter"), (default,"car battery","12V car battery"), (default,"12-pack drill bits","12-pack of drill bits with sizes ranging from #40 to #3"), (default,"hammer","12oz carpenter's hammer"), (default,"hammer","14oz carpenter's hammer"), (default,"hammer","16oz carpenter's hammer"), (default,"rocks","box of assorted rocks"), (default,"jacket","water resistent black wind breaker"), (default,"spare tire","24 inch spare tire"); CREATE TABLE orders ( order_id INTEGER NOT NULL AUTO_INCREMENT PRIMARY KEY, order_date DATETIME NOT NULL, customer_name VARCHAR(255) NOT NULL, price DECIMAL(10, 5) NOT NULL, product_id INTEGER NOT NULL, order_status BOOLEAN NOT NULL -- Whether order has been placed ) AUTO_INCREMENT = 10001; INSERT INTO orders VALUES (default, '2020-07-30 10:08:22', 'Jark', 50.50, 102, false), (default, '2020-07-30 10:11:09', 'Sally', 15.00, 105, false), (default, '2020-07-30 12:00:30', 'Edward', 25.25, 106, false); ``` ### 下载所需要的依赖包 ```下载链接只对已发布的版本有效, SNAPSHOT 版本需要本地编译``` - [flink-sql-connector-elasticsearch7-1.15.2.jar](https://repo.maven.apache.org/maven2/org/apache/flink/flink-sql-connector-elasticsearch7/1.15.2/flink-sql-connector-elasticsearch7-1.15.2.jar) - [flink-sql-connector-oceanbase-cdc-2.3-SNAPSHOT.jar](https://repo1.maven.org/maven2/com/ververica/flink-sql-connector-oceanbase-cdc/2.3-SNAPSHOT/flink-sql-connector-oceanbase-cdc-2.3-SNAPSHOT.jar) ### 在 Flink SQL CLI 中使用 Flink DDL 创建表 ```sql -- 设置间隔时间为3秒 Flink SQL> SET execution.checkpointing.interval = 3s; -- 设置本地时区为 Asia/Shanghai Flink SQL> SET table.local-time-zone = Asia/Shanghai; -- 创建订单表 Flink SQL> CREATE TABLE orders ( order_id INT, order_date TIMESTAMP(0), customer_name STRING, price DECIMAL(10, 5), product_id INT, order_status BOOLEAN, PRIMARY KEY (order_id) NOT ENFORCED ) WITH ( 'connector' = 'oceanbase-cdc', 'scan.startup.mode' = 'initial', 'username' = 'root', 'password' = 'pswd', 'tenant-name' = 'sys', 'database-name' = '^ob$', 'table-name' = '^orders$', 'hostname' = 'localhost', 'port' = '2881', 'rootserver-list' = '127.0.0.1:2882:2881', 'logproxy.host' = 'localhost', 'logproxy.port' = '2983', 'working-mode' = 'memory' ); -- 创建商品表 Flink SQL> CREATE TABLE products ( id INT, name STRING, description STRING, PRIMARY KEY (id) NOT ENFORCED ) WITH ( 'connector' = 'oceanbase-cdc', 'scan.startup.mode' = 'initial', 'username' = 'root', 'password' = 'pswd', 'tenant-name' = 'sys', 'database-name' = '^ob$', 'table-name' = '^products$', 'hostname' = 'localhost', 'port' = '2881', 'rootserver-list' = '127.0.0.1:2882:2881', 'logproxy.host' = 'localhost', 'logproxy.port' = '2983', 'working-mode' = 'memory' ); -- 创建关联后的订单数据表 Flink SQL> CREATE TABLE enriched_orders ( order_id INT, order_date TIMESTAMP(0), customer_name STRING, price DECIMAL(10, 5), product_id INT, order_status BOOLEAN, product_name STRING, product_description STRING, PRIMARY KEY (order_id) NOT ENFORCED ) WITH ( 'connector' = 'elasticsearch-7', 'hosts' = 'http://localhost:9200', 'index' = 'enriched_orders'); -- 执行读取和写入 Flink SQL> INSERT INTO enriched_orders SELECT o.order_id, o.order_date, o.customer_name, o.price, o.product_id, o.order_status, p.name, p.description FROM orders AS o LEFT JOIN products AS p ON o.product_id = p.id; ``` ### 在 Kibana 中查看数据 访问 [http://localhost:5601/app/kibana#/management/kibana/index_pattern](http://localhost:5601/app/kibana#/management/kibana/index_pattern) 创建 index pattern `enriched_orders`,之后可以在 [http://localhost:5601/app/kibana#/discover](http://localhost:5601/app/kibana#/discover) 看到写入的数据了。 ### 修改监听表数据,查看增量数据变动 在OceanBase中依次执行如下修改操作,每执行一步就刷新一次 Kibana,可以看到 Kibana 中显示的订单数据将实时更新。 ```sql INSERT INTO orders VALUES (default, '2020-07-30 15:22:00', 'Jark', 29.71, 104, false); UPDATE orders SET order_status = true WHERE order_id = 10004; DELETE FROM orders WHERE order_id = 10004; ``` ### 环境清理 在 `docker-compose.yml` 文件所在的目录下执行如下命令停止所有容器: ```shell docker-compose down ``` 进入Flink的部署目录,停止 Flink 集群: ```shell ./bin/stop-cluster.sh ```