flink CDC 3.5.0

ITVV2025-11-19 19:02

两种模式

维度 YAML Pipeline 模式 Flink SQL 模式
开发方式 配置文件（YAML） SQL 脚本
是否需要编码 ❌ 无代码 ❌ 无代码（声明式）
依赖组件 需完整 flink-cdc 发行包 仅需 flink-sql-connector-mysql-cdc-*.jar
提交方式 $FLINK_CDC/bin/flink-cdc.sh conf.yaml $FLINK_HOME/bin/sql-client.sh -f job.sql
运行模式 本地 MiniCluster（默认） 或 Application Mode（3.4+） 必须提交到 Flink 集群（Session/Per-Job/Application）
Web UI 可见性 ❌ 默认不可见 ✅ 3.4+ 集群模式可见 ✅ 始终可见
作业生命周期管理 ⚠️ 有限（kill 进程 / Savepoint） ✅ 完整（Cancel / Savepoint / Resume）
多表同步 ✅ 支持（table-name: t1,t2） ✅ 支持（需建多个源表 + UNION ALL 或分别 INSERT）
字段过滤/转换 ❌ 不支持（全字段透传） ✅ 支持（SELECT col1, UPPER(col2) ...）
Join / Aggregation ❌ 不支持 ✅ 支持（窗口、维表关联等）
调试友好性 ✅ 简单快速 ✅ SQL Client 支持交互式调试
生产适用性 ⚠️ 适合轻量级、测试 ✅ 强烈推荐用于生产环境
版本要求 Flink CDC ≥ 2.3（集群模式需 ≥ 3.4） Flink ≥ 1.13 + 对应 CDC JAR
部署复杂度 中（需维护 flink-cdc 目录） 低（只需放 JAR 到 lib/）

YAML Pipeline 模式

  1. 解压安装 flink-cdc-3.5.0-bin.tar.gz

    复制代码 
    tar -xzvf flink-cdc-3.5.0-bin.tar.gz -C /opt/module

  2. 配置环境变量

    bash 复制代码 
    sudo vim /etc/profile.d/myprofile.sh
#设置 flink CDC 环境变量
export FLINK_CDC=/opt/module/flink-cdc-3.5.0
export PATH=$FLINK_CDC/bin:$PATH
 
# 配置生效
source /etc/profile

  3. 将连接器上载到lib

    复制代码 
    ph@mydoris:/opt/module/flink-cdc-3.5.0/lib$ ls -l  *pip*con*
-rw-rw-r-- 1 ph ph 40975122 Nov 16 10:05 flink-cdc-pipeline-connector-doris-3.5.0.jar
-rw-rw-r-- 1 ph ph 33183668 Nov 16 10:05 flink-cdc-pipeline-connector-iceberg-3.5.0.jar
-rw-rw-r-- 1 ph ph  5975969 Nov 16 10:05 flink-cdc-pipeline-connector-kafka-3.5.0.jar
-rw-rw-r-- 1 ph ph 21375378 Nov 16 10:05 flink-cdc-pipeline-connector-mysql-3.5.0.jar

Mysql 实时同步到 Kafka

数据库准备

  1. mysql创建数据库

    sql 复制代码 
    -- 创建数据库
CREATE DATABASE app_db;

-- 数据库内至少要有一个表，后面才能启动CDC同步任务，否则报错
-- 创建 orders 表
CREATE TABLE `orders` (
`order_id` INT NOT NULL,
`price` DECIMAL(10,2) NOT NULL,
PRIMARY KEY (`order_id`)
);

启动同步任务

创建整库同步任务配置文件

bash 复制代码 
vim $FLINK_CDC/conf/mysql-to-kafka.yaml
sql 复制代码 
################################################################################
# Description: Sync MySQL all tables to Kafka (as intermediate layer)
################################################################################
source:
  type: mysql
  hostname: mydoris
  port: 3306
  username: root
  password: Admin1234
  tables: app_db.\.*
  server-id: 5400-5404
  server-time-zone: Asia/Shanghai

sink:
  type: kafka
  topic: mysql-app-db-all    # 所有表写入一个 Topic
  properties.bootstrap.servers: mydoris:9092
  value.format: debezium-json

pipeline:
  name: MySQL-to-Kafka-CDC-Pipeline
  parallelism: 2

提交任务到 Flink Standalone cluster

sql 复制代码 
$FLINK_CDC//bin/flink-cdc.sh $FLINK_CDC//conf/mysql-to-kafka.yaml
Pipeline has been submitted to cluster.
Job ID: 7297b79ba93e5483f83cc60dca95b883
Job Description: MySQL-to-Kafka-CDC-Pipeline

查看作业

查看checkpoint

验证同步数据

验证同步数据

启用测试消费客户端

bash 复制代码 
$KAFKA_HOME/bin/kafka-console-consumer.sh \
  --bootstrap-server mydoris:9092 \
  --topic mysql-app-db-all \
  | jq

|----------------------------------------------------------------------------|----------------------------------------------------------------------------|----------------------------------------------------------------------------|
| 插入 | 更新 | 删除 |
| INSERT INTO `orders` (`order_id`, `price`) VALUES (27, 4.00); | UPDATE `orders` SET `price` = 5.00 WHERE `order_id` = 1; | DELETE FROM `orders` WHERE `order_id` = 27; |
| | | |

Mysql 实时同步到 Doris

数据库准备

  1. doris中创建数据库

    sql 复制代码 
    create database app_db;

启动同步任务

  1. 创建整库同步任务配置文件：

    bash 复制代码 
    vim $FLINK_CDC/conf/mysql-to-doris.yaml
    sql 复制代码 
    ################################################################################
# Description: Sync MySQL all tables to Doris
################################################################################
source:
  type: mysql
  hostname: mydoris
  port: 3306
  username: root
  password: Admin1234
  tables: app_db.\.*
  server-id: 5400-5404
  server-time-zone: Asia/Shanghai

sink:
  type: doris
  fenodes: mydoris:8030
  username: root
  password: "Admin1234"
  table.create.properties.light_schema_change: true
  table.create.properties.replication_num: 1

pipeline:
  name: Sync MySQL Database to Doris
  parallelism: 2

  2. 提交任务到 Flink Standalone cluster

    sql 复制代码 
    $FLINK_CDC//bin/flink-cdc.sh $FLINK_CDC//conf/mysql-to-doris.yaml
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/module/flink-1.19.3/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/opt/module/hadoop-3.3.6/share/hadoop/common/lib/slf4j-reload4j-1.7.36.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]
Pipeline has been submitted to cluster.
Job ID: 2926ca3390225dee172cfed94a818191
Job Description: Sync MySQL Database to Doris

  3. 查看作业(flink web ui)

  4. 检查checkpoint

  5. 查看作业（cli)

    bash 复制代码 
    $FLINK_HOME/bin/flink list
------------------ Running/Restarting Jobs -------------------
16.11.2025 02:37:23 : 2926ca3390225dee172cfed94a818191 : Sync MySQL Database to Doris (RUNNING)
--------------------------------------------------------------

  6. 查看日志


    作业已经启动

    列出所有mysql数据库，过滤出要同步的表

    将表结构同步到doris

  7. 查看表
    mysql表结构已同步至doris
    SHOW CREATE TABLE app_db.orders ;

    sql 复制代码 
    CREATE TABLE `orders` (
  `order_id` int NULL,
  `price` decimal(10,2) NULL
) ENGINE=OLAP
UNIQUE KEY(`order_id`)
DISTRIBUTED BY HASH(`order_id`) BUCKETS AUTO
PROPERTIES (
"replication_allocation" = "tag.location.default: 1",
"min_load_replica_num" = "-1",
"is_being_synced" = "false",
"storage_medium" = "hdd",
"storage_format" = "V2",
"inverted_index_storage_format" = "V2",
"enable_unique_key_merge_on_write" = "true",
"light_schema_change" = "true",
"disable_auto_compaction" = "false",
"enable_single_replica_compaction" = "false",
"group_commit_interval_ms" = "10000",
"group_commit_data_bytes" = "134217728",
"enable_mow_light_delete" = "false"
);

验证同步数据

  1. 插入数据

    sql 复制代码 
    INSERT INTO `orders` (`order_id`, `price`) VALUES (1, 4.00);

  2. 更新数据

    sql 复制代码 
    UPDATE `orders` SET `price` = 5.00 WHERE `order_id` = 1;

  3. 删除数据

  6. 查看表已经同步

MySQL 到 Kafka

创建作业

sql 复制代码 
-- 创建 CDC 源表
CREATE TABLE orders_cdc (
    order_id INT,
    price DECIMAL(10,2),
    PRIMARY KEY (order_id ) NOT ENFORCED
) WITH (
    'connector' = 'mysql-cdc',
    'hostname' = 'mydoris',
    'port' = '3306',
    'username' = 'root',
    'password' = 'Admin1234',
    'database-name' = 'app_db',
    'table-name' = 'orders',
    'server-id' = '5400-5499',
    'server-time-zone' = 'Asia/Shanghai'
);

-- 创建 Kafka Sink 表
CREATE TABLE kafka_orders (
    order_id INT,
    price DECIMAL(10,2)
) WITH (
    'connector' = 'kafka',
    'topic' = 'app_db.orders',
    'properties.bootstrap.servers' = 'mydoris:9092',
    'format' = 'debezium-json'  -- 与 Doris Routine Load 兼容
);

-- 启动同步
INSERT INTO kafka_orders SELECT * FROM orders_cdc;

提交作业

bash 复制代码 
$FLINK_HOME/bin/sql-client.sh -f $FLINK_HOME/conf/mysql-to-kafka.sql

[INFO] Executing SQL from file.

Command history file path: /home/ph/.flink-sql-history
Flink SQL> -- 创建 CDC 源表
> CREATE TABLE orders_cdc (
>     order_id INT,
>     price DECIMAL(10,2),
>     PRIMARY KEY (order_id) NOT ENFORCED
> ) WITH (
>     'connector' = 'mysql-cdc',
>     'hostname' = 'mydoris',
>     'port' = '3306',
>     'username' = 'root',
>     'password' = 'Admin1234',
>     'database-name' = 'app_db',
>     'table-name' = 'orders',
>     'server-id' = '5400-5499',
>     'server-time-zone' = 'Asia/Shanghai'
> )[INFO] Execute statement succeed.

Flink SQL>
> -- 创建 Kafka Sink 表
> CREATE TABLE kafka_orders (
>     order_id INT,
>     price DECIMAL(10,2)
> ) WITH (
>     'connector' = 'kafka',
>     'topic' = 'app_db.orders',
>     'properties.bootstrap.servers' = 'mydoris:9092',
>     'format' = 'debezium-json'  -- 与 Doris Routine Load 兼容
> )[INFO] Execute statement succeed.

Flink SQL> [INFO] Submitting SQL update statement to the cluster...
[INFO] SQL update statement has been successfully submitted to the cluster:
Job ID: e7c7aaffdf46165bb0c7ef403f32cd1d


Flink SQL>
Shutting down the session...
done.

Mysql 到 Doris

说明：还不支持自动建表，需在Doris提前建表

创建作业

sql 复制代码 
-- 创建 CDC 源表
CREATE TABLE orders_cdc (
    order_id INT,
    price DECIMAL(10,2),
    PRIMARY KEY (order_id ) NOT ENFORCED
) WITH (
    'connector' = 'mysql-cdc',
    'hostname' = 'mydoris',
    'port' = '3306',
    'username' = 'root',
    'password' = 'Admin1234',
    'database-name' = 'app_db',
    'table-name' = 'orders',
    'server-id' = '5400-5499',
    'server-time-zone' = 'Asia/Shanghai'
);

-- 创建 Doris Sink 表（Doris 3.0.8 + Connector 25.1.0）
CREATE TABLE doris_orders (
    order_id INT,
    price DECIMAL(10,2)
) WITH (
    'connector' = 'doris',
    'fenodes' = 'mydoris:8030',
    'table.identifier' = 'app_db.orders',
    'username' = 'root',
    'password' = 'Admin1234',
    'sink.label-prefix' = 'flink_app_db_orders_308',
    'sink.enable-delete' = 'true',
    'sink.buffer-flush.interval' = '10s',        --
    'sink.buffer-flush.max-rows' = '100000',
    'sink.buffer-flush.max-bytes' = '10485760'   -- 可选：10MB
);

提交作业

bash 复制代码 
$FLINK_HOME/bin/sql-client.sh -f $FLINK_HOME/conf/mysql-to-doris.sql
[INFO] Executing SQL from file.

Command history file path: /home/ph/.flink-sql-history
Flink SQL> -- 创建 CDC 源表
> CREATE TABLE orders_cdc (
>     order_id INT,
>     price DECIMAL(10,2),
>     PRIMARY KEY (order_id) NOT ENFORCED
> ) WITH (
>     'connector' = 'mysql-cdc',
>     'hostname' = 'mydoris',
>     'port' = '3306',
>     'username' = 'root',
>     'password' = 'Admin1234',
>     'database-name' = 'app_db',
>     'table-name' = 'orders',
>     'server-id' = '5400-5499',
>     'server-time-zone' = 'Asia/Shanghai'
> )[INFO] Execute statement succeed.

Flink SQL>
> -- 创建 Doris Sink 表（Doris 3.0.8 + Connector 25.1.0）
> CREATE TABLE doris_orders (
>     order_id INT,
>     price DECIMAL(10,2)
> ) WITH (
>     'connector' = 'doris',
>     'fenodes' = 'mydoris:8030',
>     'table.identifier' = 'app_db.orders',
>     'username' = 'root',
>     'password' = 'Admin1234',
>     'sink.label-prefix' = 'flink_app_db_orders_308',
>     'sink.enable-delete' = 'true',
>     'sink.buffer-flush.interval' = '10s',        --
>     'sink.buffer-flush.max-rows' = '100000',
>     'sink.buffer-flush.max-bytes' = '10485760'   -- 可选：10MB
> )[INFO] Execute statement succeed.

Flink SQL> [INFO] Submitting SQL update statement to the cluster...
[INFO] SQL update statement has been successfully submitted to the cluster:
Job ID: 75c9f897cead849fe501d130d5a1b055


Flink SQL>
Shutting down the session...
done.

Mysql 到 Iceberg

创建作业

sql 复制代码 
-- 1. 创建 Iceberg Catalog（使用 Hive Metastore）
CREATE CATALOG iceberg_hive WITH (
    'type' = 'iceberg',
    'catalog-type' = 'hive',
    'uri' = 'thrift://mydoris:9083',               -- Hive Metastore 地址
    'warehouse' = 'hdfs://mydoris:9000/user/hive/warehouse', -- Iceberg 数据根目录
    'clients' = '5',                                      -- 可选：Hive 客户端池大小
    'property-version' = '1'
);

-- 2. 使用该 Catalog
USE CATALOG iceberg_hive;

-- 3. 创建数据库（如果不存在）
CREATE DATABASE IF NOT EXISTS app_db;

-- 4. 【可选】手动创建 Iceberg 表（推荐）
-- 如果不创建，Flink 会自动建表（但可能缺少主键/v2 格式）
CREATE TABLE IF NOT EXISTS app_db.orders (
    order_id INT,
    price DECIMAL(10,2),
    PRIMARY KEY (order_id) NOT ENFORCED
) WITH (
    'format-version' = '2',
    'write.upsert.enabled' = 'true',
    'write.format.default' = 'parquet'
);

-- 5. 创建 MySQL CDC 源表
USE CATALOG default_catalog;
USE default_database;

CREATE TABLE orders_cdc (
    order_id INT,
    price DECIMAL(10,2),
    PRIMARY KEY (order_id) NOT ENFORCED
) WITH (
    'connector' = 'mysql-cdc',
    'hostname' = 'mydoris',
    'port' = '3306',
    'username' = 'root',
    'password' = 'Admin1234',
    'database-name' = 'app_db',
    'table-name' = 'orders',
    'server-id' = '5400-5499',
    'server-time-zone' = 'Asia/Shanghai'
);

-- 6. 启动同步（写入 Iceberg）

提交作业

bash 复制代码 
$FLINK_HOME/bin/sql-client.sh -f $FLINK_HOME/conf/mysql-to-iceberg.sql
[INFO] Executing SQL from file.

Command history file path: /home/ph/.flink-sql-history
Flink SQL> -- 1. 创建 Iceberg Catalog（使用 Hive Metastore）
> CREATE CATALOG iceberg_hive WITH (
>     'type' = 'iceberg',
>     'catalog-type' = 'hive',
>     'uri' = 'thrift://mydoris:9083',               -- Hive Metastore 地址
>     'warehouse' = 'hdfs://mydoris:9000/user/hive/warehouse', -- Iceberg 数据根目录
>     'clients' = '5',                                      -- 可选：Hive 客户端池大小
>     'property-version' = '1'
> )[INFO] Execute statement succeed.

Flink SQL> [INFO] Execute statement succeed.

Flink SQL> [INFO] Execute statement succeed.

Flink SQL>
> -- 4. 【可选】手动创建 Iceberg 表（推荐）
> -- 如果不创建，Flink 会自动建表（但可能缺少主键/v2 格式）
> CREATE TABLE IF NOT EXISTS app_db.orders (
>     order_id INT,
>     price DECIMAL(10,2),
>     PRIMARY KEY (order_id) NOT ENFORCED
> ) WITH (
>     'format-version' = '2',
>     'write.upsert.enabled' = 'true',
>     'write.format.default' = 'parquet'
> )[INFO] Execute statement succeed.

Flink SQL> [INFO] Execute statement succeed.

Flink SQL> [INFO] Execute statement succeed.

Flink SQL>
> CREATE TABLE orders_cdc (
>     order_id INT,
>     price DECIMAL(10,2),
>     PRIMARY KEY (order_id) NOT ENFORCED
> ) WITH (
>     'connector' = 'mysql-cdc',
>     'hostname' = 'mydoris',
>     'port' = '3306',
>     'username' = 'root',
>     'password' = 'Admin1234',
>     'database-name' = 'app_db',
>     'table-name' = 'orders',
>     'server-id' = '5400-5499',
>     'server-time-zone' = 'Asia/Shanghai'
> )[INFO] Execute statement succeed.

Flink SQL> [INFO] Submitting SQL update statement to the cluster...
[INFO] SQL update statement has been successfully submitted to the cluster:
Job ID: c09197fa420dae7499def1a6ae386a24

作业启停

显示当前作业

sql 复制代码 
# 查询当前作业
$FLINK_HOME/bin/flink list

------------------ Running/Restarting Jobs -------------------
16.11.2025 07:41:13 : 0bfd330def2ba1de3a1d4ea873728d4a : insert-into_default_catalog.default_database.doris_orders (RUNNING)
--------------------------------------------------------------
No scheduled jobs.


# 停止当前作业
$FLINK_HOME/bin/flink stop 0bfd330def2ba1de3a1d4ea873728d4a 

Suspending job "0bfd330def2ba1de3a1d4ea873728d4a" with a CANONICAL savepoint.
Triggering stop-with-savepoint for job 0bfd330def2ba1de3a1d4ea873728d4a.
Waiting for response...
Savepoint completed. Path: hdfs://mydoris:9000/flink/savepoints/savepoint-0bfd33-49b7d53ecc09

# 重启当前作业
修改 mysql-to-doris.sql 文件，在最前面添加
SET 'execution.savepoint.path' = 'hdfs://mydoris:9000/flink/savepoints/savepoint-0bfd33-49b7d53ecc09';
# 修改后，再重新提交作业
$FLINK_HOME/bin/sql-client.sh -f $FLINK_HOME/conf/mysql-to-doris.sql

作业启动后查看恢复信息

Latest Restore ID: 12

Restore Time: 2025-11-16 15:54:50.524

Type: Savepoint

Path: hdfs://mydoris:9000/flink/savepoints/savepoint-0bfd33-49b7d53ecc09

相关推荐
Elastic 中国社区官方博客3 小时前
Elasticsearch：如何创建知识库并使用 AI Assistant 来配置 slack 连接器
大数据·人工智能·elasticsearch·搜索引擎·全文检索·信息与通信
XIAOYU6720133 小时前
中专学历，在服装设计行业真的没出路吗？
大数据
TDengine （老段）3 小时前
TDengine IDMP 赋能新能源：光伏电站智能运维实践
大数据·运维·数据库·物联网·时序数据库·tdengine·涛思数据
努力的光头强5 小时前
《智能体设计模式》从零基础入门到精通，看这一篇就够了！
大数据·人工智能·深度学习·microsoft·机器学习·设计模式·ai
源码梦想家5 小时前
Java、C# 和 C++：三大编程语言的技术对比与应用场景分析
flink
小园子的小菜5 小时前
深度剖析Elasticsearch数据写入与读取：从分片同步到核心组件协同
大数据·elasticsearch·搜索引擎
samLi06207 小时前
【实证分析】股票市场羊群效应、股市羊群效应CSSD和CSAD数据集（2000-2024年）
大数据
武子康8 小时前
大数据-157 Apache Kylin 全面指南：MOLAP 架构、Hive/Kafka 实战与实时 OLAP 落地
大数据·后端·apache kylin
海豚调度9 小时前
结项报告完整版 | 为 Apache DolphinScheduler 添加 gRPC 插件
大数据·任务调度·开源社区·大数据调度·apachedolphinscheduler
热门推荐
01GitHub 镜像站点02今天 Cloudflare 全球事故，连 GPT 和你的网站都一起“掉线”了03UV安装并设置国内源04安娜的档案(Anna’s Archive) 镜像网站/国内最新可访问入口（持续更新）05Linux下V2Ray安装配置指南06BongoCat - 跨平台键盘猫动画工具07Valdi：Snapchat 开源的新一代跨平台 UI 框架08全球最强模型Grok4，国内已可免费使用！（附教程）09swagger xss漏洞复现10Labelme从安装到标注：零基础完整指南