Flink CDC同步mysql和pg关联数据到es实践

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概述

最近有需求要将商品同步到es，并做pv、uv的宽表处理，评估一下Flink CDC的能力，实践一下Flink CDC的同步功能。
本次目标是将mysql和pg的表数据，在es进行宽表处理。

  • 本次模拟场景 产品表products、订单表orders在mysql数据库，物流表shipments在postgres数据库，最终的宽表enriched_orders在elasticsearch.

    模拟电商公司的订单表和物流表，需要对订单数据进行统计分析，对于不同的信息需要进行关联后续形成订单的大宽表后，交给下游的业务方使用 ES 做数据分析，这个案例演示了如何只依赖 Flink 不依赖其他组件，借助 Flink 强大的计算能力实时把 Binlog 的数据流关联一次并同步至 ES 。

版本

  • Apache Flink 1.13.1
  • flink-sql-connector-elasticsearch7_2.11-1.13.0.jar
  • flink-sql-connector-mysql-cdc-1.4.0.jar
  • flink-sql-connector-postgres-cdc-1.4.0.jar
  • java8

相关链接

安装

docker方式安装

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FLINK_PROPERTIES="jobmanager.rpc.address: jobmanager"
docker network create flink-network

JobManager

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docker run \
--rm \
--name=jobmanager \
--network flink-network \
--publish 8081:8081 \
--env FLINK_PROPERTIES="${FLINK_PROPERTIES}" \
flink:1.13.1-scala_2.11 jobmanager

TaskManager

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docker run \
--rm \
--name=taskmanager \
--network flink-network \
--env FLINK_PROPERTIES="${FLINK_PROPERTIES}" \
flink:1.13.1-scala_2.11 taskmanager

下载方式安装

https://flink.apache.org/zh/downloads.html

下载最新版本即可。

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// 停止集群
bin/stop-cluster.sh
// 启动集群
bin/start-cluster.sh
// 进入flink sql 客户端命令行界面
bin/sql-client.sh embedded
// 查看当前运行的jobs
bin/flink list
// 查看所有的任务，包括失败、成功、取消的
bin/flink list -a
// 取消命令
bin/flink cancel jobID

实践

1、下载 docker-compose.yml

先使用docker创造一些mysql 和 pg的数据

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version: '2.1'
services:
  postgres:
    image: debezium/example-postgres:1.1
    ports:
      - "5432:5432"
    environment:
      - POSTGRES_PASSWORD=1234
      - POSTGRES_DB=postgres
      - POSTGRES_USER=postgres
      - POSTGRES_PASSWORD=postgres
  mysql:
    image: debezium/example-mysql:1.1
    ports:
      - "3306:3306"
    environment:
      - MYSQL_ROOT_PASSWORD=123456
      - MYSQL_USER=mysqluser
      - MYSQL_PASSWORD=mysqlpw
  elasticsearch:
    image: elastic/elasticsearch:7.6.0
    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
    ports:
      - "5601:5601"
  zookeeper:
    image: wurstmeister/zookeeper:3.4.6
    ports:
      - "2181:2181"
  kafka:
    image: wurstmeister/kafka:2.12-2.2.1
    ports:
      - "9092:9092"
      - "9094:9094"
    depends_on:
      - zookeeper
    environment:
      - KAFKA_ADVERTISED_LISTENERS=INSIDE://:9094,OUTSIDE://localhost:9092
      - KAFKA_LISTENERS=INSIDE://:9094,OUTSIDE://:9092
      - KAFKA_LISTENER_SECURITY_PROTOCOL_MAP=INSIDE:PLAINTEXT,OUTSIDE:PLAINTEXT
      - KAFKA_INTER_BROKER_LISTENER_NAME=INSIDE
      - KAFKA_ZOOKEEPER_CONNECT=zookeeper:2181
      - KAFKA_CREATE_TOPICS="user_behavior:1:1"
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock

2、进入 mysql 容器，初始化数据：

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docker-compose exec mysql mysql -uroot -p123456
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-- MySQL
CREATE DATABASE mydb;
USE mydb;
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 -- 是否下单
) 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);


3、进入postgres 容器，初始化数据：

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docker-compose exec postgres psql -h localhost -U postgres
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-- PG
CREATE TABLE shipments (
  shipment_id SERIAL NOT NULL PRIMARY KEY,
  order_id SERIAL NOT NULL,
  origin VARCHAR(255) NOT NULL,
  destination VARCHAR(255) NOT NULL,
  is_arrived BOOLEAN NOT NULL
);
ALTER SEQUENCE public.shipments_shipment_id_seq RESTART WITH 1001;
ALTER TABLE public.shipments REPLICA IDENTITY FULL;

INSERT INTO shipments
VALUES (default,10001,'Beijing','Shanghai',false),
       (default,10002,'Hangzhou','Shanghai',false),
       (default,10003,'Shanghai','Hangzhou',false);

4、下载以下 jar 包到 <FLINK_HOME>/lib/:
查看上方相关链接下载

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--FlinkSQL
CREATE TABLE products (
  id INT,
  name STRING,
  description STRING
) WITH (
  'connector' = 'mysql-cdc',
  'hostname' = 'localhost',
  'port' = '3306',
  'username' = 'root',
  'password' = '123456',
  'database-name' = 'mydb',
  'table-name' = 'products'
);

CREATE TABLE orders (
  order_id INT,
  order_date TIMESTAMP(0),
  customer_name STRING,
  price DECIMAL(10, 5),
  product_id INT,
  order_status BOOLEAN
) WITH (
  'connector' = 'mysql-cdc',
  'hostname' = 'localhost',
  'port' = '3306',
  'username' = 'root',
  'password' = '123456',
  'database-name' = 'mydb',
  'table-name' = 'orders'
);

CREATE TABLE shipments (
  shipment_id INT,
  order_id INT,
  origin STRING,
  destination STRING,
  is_arrived BOOLEAN
) WITH (
  'connector' = 'postgres-cdc',
  'hostname' = 'localhost',
  'port' = '5432',
  'username' = 'postgres',
  'password' = 'postgres',
  'database-name' = 'postgres',
  'schema-name' = 'public',
  'table-name' = 'shipments'
);

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,
  shipment_id INT,
  origin STRING,
  destination STRING,
  is_arrived BOOLEAN,
  PRIMARY KEY (order_id) NOT ENFORCED
) WITH (
    'connector' = 'elasticsearch-7',
    'hosts' = 'http://localhost:9200',
    'index' = 'enriched_orders'
);

INSERT INTO enriched_orders
SELECT o.*, p.name, p.description, s.shipment_id, s.origin, s.destination, s.is_arrived
FROM orders AS o
LEFT JOIN products AS p ON o.product_id = p.id
LEFT JOIN shipments AS s ON o.order_id = s.order_id;

6、修改 mysql 和 postgres 里面的数据，观察 elasticsearch 里的结果。

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--MySQL
INSERT INTO orders
VALUES (default, '2020-07-30 15:22:00', 'Jark', 29.71, 104, false);

--PG
INSERT INTO shipments
VALUES (default,10004,'Shanghai','Beijing',false);

--MySQL
UPDATE orders SET order_status = true WHERE order_id = 10004;

--PG
UPDATE shipments SET is_arrived = true WHERE shipment_id = 1004;

--MySQL
DELETE FROM orders WHERE order_id = 10004;

期间遇到的问题

https://github.com/ververica/flink-cdc-connectors/issues/197