演示: OceanBase CDC 导入 Elasticsearch #
视频教程 #
准备教程所需要的组件 #
配置并启动容器 #
配置 docker-compose.yml
。
version: '2.1'
services:
observer:
image: oceanbase/oceanbase-ce:4.0.0.0
container_name: observer
network_mode: "host"
oblogproxy:
image: whhe/oblogproxy:1.1.0_4x
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:
docker-compose up -d
设置密码 #
OceanBase 中 root 用户默认是没有密码的,但是 oblogproxy 需要配置一个使用非空密码的系统租户用户,因此这里我们需要先为 root@sys 用户设置一个密码。
登陆 sys 租户的 root 用户:
docker-compose exec observer obclient -h127.0.0.1 -P2881 -uroot@sys
设置密码,注意这里的密码需要与上一步中 oblogproxy 服务的环境变量 ‘OB_SYS_PASSWORD’ 保持一样。
ALTER USER root IDENTIFIED BY 'pswd';
OceanBase 从社区版 4.0.0.0 开始只支持对非 sys 租户的增量数据拉取,这里我们使用 test 租户的 root 用户作为示例。
登陆 test 租户的 root 用户:
docker-compose exec observer obclient -h127.0.0.1 -P2881 -uroot@test
设置密码:
ALTER USER root IDENTIFIED BY 'test';
准备数据 #
使用 ‘root@test’ 用户登陆。
docker-compose exec observer obclient -h127.0.0.1 -P2881 -uroot@test -ptest
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
在 Flink SQL CLI 中使用 Flink DDL 创建表 #
-- 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@test',
'password' = 'test',
'tenant-name' = 'test',
'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@test',
'password' = 'test',
'tenant-name' = 'test',
'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 创建 index pattern enriched_orders
,之后可以在 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。
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:
docker-compose down
进入Flink的部署目录,停止 Flink 集群:
./bin/stop-cluster.sh