如何通过 Apache SeaTunnel 实现 MySQL 到 OceanBase 的数据迁移同步
- 2025-03-17 广东
本文字数:7012 字
阅读完需:约 23 分钟
本文来源于 OceanBase 数据库官方博客,目前 Apache SeaTunnel 2.3.9 已支持本文提到的所有功能,故原文
2.3.7
已全部修改为2.3.9
准备传输工具
本方案采用 Apache SeaTunnel(简称 SeaTunnel)进行 MySQL 到 OceanBase 的数据迁移和同步,出于对方案轻量性的考量,我们采用其内置的 Zeta 引擎来实现,包括全量同步、离线增量同步,以及 CDC 方案。
运行环境准备
自行安装运行环境 JAVA,推荐版本为 8,但理论上高于 8 的版本也能正常工作。
安装后,请确保已正确配置JAVA_HOME
root:~# java -version
openjdk version "17.0.12" 2024-07-16
OpenJDK Runtime Environment (build 17.0.12+7-Debian-2deb11u1)
OpenJDK 64-Bit Server VM (build 17.0.12+7-Debian-2deb11u1, mixed mode, sharing)java
下载并安装 SeaTunnel
进入官网下载页面,下载适合版本 SeaTunnel : https://seatunnel.apache.org/
我这里选择最新版本 2.3.9
下载
wget https://dlcdn.apache.org/seatunnel/2.3.9/apache-seatunnel-2.3.9-bin.tar.gz
解压
tar -zxvf apache-seatunnel-2.3.9-bin.tar.gz
连接器插件的下载与安装
SeaTunnel 安装包只包含主体文件与 Zeta 引擎,连接不同数据源的插件需要手动下载并配置。
自动下载方案
通过配置config/plugin_config
文件来指定你需要的连接器,默认文件里是全方案的,可以根据你的需要增删一些,我们这里只包含这次演示需要使用的连接库。
connector-cdc-mysql
connector-jdbc
connector-fake
connector-console
输入命令
sh bin/install-plugin.sh 2.3.9
开始自动下载连接器
手动下载方案
进入网站:https://repo.maven.apache.org/maven2/org/apache/seatunnel/
找到自己需要的插件例如:
connector-cdc-mysql-2.3.9.jar
connector-console-2.3.9.jar
connector-fake-2.3.9.jar
connector-jdbc-2.3.9.jar
seatunnel-transforms-v2-2.3.9.jar
将文件手动下载之后 放入 Connectors
验证连接器安装情况
./bin/seatunnel-connector.sh -l
Source
FakeSource MySQL-CDC Jdbc
Sink
Jdbc Console
Transform
Copy DynamicCompile FieldMapper Filter FilterRowKind JsonPath LLM Replace Split Sql
由于我们是使用 JDBC 使用 MySQL 的连接方式去操作 OceanBase 所以还需要下载一个jdbc-mysql
,请自行前往前往 MySQL 官网下载 JDBC 。
将下载的mysql-connector-j-9.0.0.jar
放到{seatunnel/lib}
中。
SeaTunnel 验证
使用 config 官方自带的 v2 批操作验证 SeaTunnel 是否正常
./bin/seatunnel.sh --config ./config/v2.batch.config.template -m local
参数解释:
seatunnel.sh #seatunnel标准启动脚本
config #选择配置脚本
m #运行方式 这里选择本地运行
当您运行该命令时,可以在控制台中看到它的输出
2022-12-19 11:01:45,417 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - output rowType: name<STRING>, age<INT>
2022-12-19 11:01:46,489 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=1: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: CpiOd, 8520946
2022-12-19 11:01:46,490 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=2: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: eQqTs, 1256802974
2022-12-19 11:01:46,490 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=3: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: UsRgO, 2053193072
2022-12-19 11:01:46,490 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=4: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: jDQJj, 1993016602
2022-12-19 11:01:46,490 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=5: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: rqdKp, 1392682764
2022-12-19 11:01:46,490 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=6: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: wCoWN, 986999925
2022-12-19 11:01:46,490 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=7: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: qomTU, 72775247
2022-12-19 11:01:46,490 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=8: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: jcqXR, 1074529204
2022-12-19 11:01:46,490 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=9: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: AkWIO, 1961723427
2022-12-19 11:01:46,490 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=10: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: hBoib, 929089763
2022-12-19 11:01:46,490 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=11: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: GSvzm, 827085798
2022-12-19 11:01:46,491 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=12: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: NNAYI, 94307133
2022-12-19 11:01:46,491 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=13: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: EexFl, 1823689599
2022-12-19 11:01:46,491 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=14: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: CBXUb, 869582787
2022-12-19 11:01:46,491 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=15: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: Wbxtm, 1469371353
2022-12-19 11:01:46,491 INFO org.apache.seatunnel.connectors.seatunnel.console.sink.ConsoleSinkWriter - subtaskIndex=0 rowIndex=16: SeaTunnelRow#tableId=-1 SeaTunnelRow#kind=INSERT: mIJDt, 995616438
并且结尾有一个 Job 总结日志
***********************************************
Job Statistic Information
***********************************************
Start Time : 2024-08-29 22:45:29
End Time : 2024-08-29 22:45:33
Total Time(s) : 4
Total Read Count : 32
Total Write Count : 32
Total Failed Count : 0
***********************************************
全量同步
测试表创建
创建两张一模一样的表 表结构如下:
CREATE TABLE `table1` (
`id` INT NOT NULL AUTO_INCREMENT,
`value1` VARCHAR(255) NOT NULL,
`value2` VARCHAR(255) ,
`value3` VARCHAR(255) ,
`value4` VARCHAR(255) ,
`value5` VARCHAR(255) ,
`created_at` TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
`updated_at` TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
UNIQUE INDEX `idx_value1` (`value1`),
INDEX `idx_value2_value3` (`value2`, `value3`),
INDEX `idx_value3_value4_value5` (`value3`, `value4`, `value5`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
CREATE TABLE `table2` (
`id` INT NOT NULL AUTO_INCREMENT,
`value1` VARCHAR(255) NOT NULL,
`value2` VARCHAR(255) ,
`value3` VARCHAR(255) ,
`value4` VARCHAR(255) ,
`value5` VARCHAR(255) ,
`created_at` TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
`updated_at` TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
UNIQUE INDEX `idx_value1` (`value1`),
INDEX `idx_value2_value3` (`value2`, `value3`),
INDEX `idx_value3_value4_value5` (`value3`, `value4`, `value5`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
我们这边使用 navicat 创建了各 100000 条数据
全量同步配置文件编写
表结构建议手动迁移,自动迁移的表结构会有一些问题,并且不会附加索引。
单表全量
env {
parallelism = 5
job.mode = "BATCH"
}
source {
Jdbc {
url = "jdbc:mysql://127.0.0.1:3306/mysql?&useUnicode=true&characterEncoding=UTF-8&rewriteBatchedStatements=true"
driver = "com.mysql.cj.jdbc.Driver"
connection_check_timeout_sec = 100
user = "xxx"
password = "xxx"
query = "select * from seatunnel.table1"
}
}
sink {
jdbc {
url = "jdbc:mysql://127.0.0.1:2883/mysql?&useUnicode=true&characterEncoding=UTF-8&rewriteBatchedStatements=true"
driver = "com.mysql.cj.jdbc.Driver"
user = "xxx@xxx"
password = "xxx"
# 自动判断sql语句
generate_sink_sql = true
database = seatunnel
table = table1
}
}
结果
***********************************************
Job Statistic Information
***********************************************
Start Time : 2024-08-30 15:05:39
End Time : 2024-08-30 15:05:47
Total Time(s) : 8
Total Read Count : 100000
Total Write Count : 100000
Total Failed Count : 0
***********************************************
多表全量抽取
env {
parallelism = 5
job.mode = "BATCH"
}
source {
Jdbc {
url = "jdbc:mysql://127.0.0.1:3306/mysql?&useUnicode=true&characterEncoding=UTF-8&rewriteBatchedStatements=true"
driver = "com.mysql.cj.jdbc.Driver"
connection_check_timeout_sec = 100
user = "xxx"
password = "xxx"
table_list = [
{
table_path = "seatunnel.table1"
},
{
table_path = "seatunnel.table2"
query = "select * from seatunnel.table2 where id > 100"
}
]
}
}
sink {
jdbc {
url = "jdbc:mysql://127.0.0.1:2883/mysql?&useUnicode=true&characterEncoding=UTF-8&rewriteBatchedStatements=true"
driver = "com.mysql.cj.jdbc.Driver"
user = "xxx@xxx"
password = "xxx"
# 自动判断sql语句
generate_sink_sql = true
database = seatunnel
table_list = ["seatunnel.table1","seatunnel.table2"]
}
}
结果
***********************************************
Job Statistic Information
***********************************************
Start Time : 2024-08-30 15:10:09
End Time : 2024-08-30 15:10:20
Total Time(s) : 10
Total Read Count : 200000
Total Write Count : 200000
Total Failed Count : 0
***********************************************
增量同步配置文件编写
对于增量同步,简单的方法是在文件编写时,通过 Query 编写 id 或 updatetime 做增量。
env {
parallelism = 1
job.mode = "BATCH"
}
source {
Jdbc {
url = "jdbc:mysql://127.0.0.1:3306/mysql?&useUnicode=true&characterEncoding=UTF-8&rewriteBatchedStatements=true"
driver = "com.mysql.cj.jdbc.Driver"
connection_check_timeout_sec = 100
user = "xxx"
password = "xxx"
query = "SELECT * FROM seatunnel.table1 WHERE updatetime > '2024-01-01' "
}
}
sink {
jdbc {
url = "jdbc:mysql://127.0.0.1:2883/mysql?&useUnicode=true&characterEncoding=UTF-8&rewriteBatchedStatements=true"
driver = "com.mysql.cj.jdbc.Driver"
user = "xxx@xxx"
password = "xxx"
generate_sink_sql = true
database = seatunnel
table = table1
}
}
在输出端的时候会根据主键进行插入与更新操作,但是这种需要从每次配置配置文件的方案比较繁琐,我更加推荐使用 Apache DolphinScheduler 配合 SeaTunnel 进行操作创建一个工作流。

从输出端获取最大时间或者 id 通过 DolphinScheduler 的工作流变量进行传输。
env {
parallelism = 1
job.mode = "BATCH"
}
source {
Jdbc {
url = "jdbc:mysql://127.0.0.1:3306/mysql?&useUnicode=true&characterEncoding=UTF-8&rewriteBatchedStatements=true"
driver = "com.mysql.cj.jdbc.Driver"
connection_check_timeout_sec = 100
user = "xxx"
password = "xxx"
query = "SELECT * FROM seatunnel.table1 WHERE updatetime > ${max_id} "
}
}
sink {
jdbc {
url = "jdbc:mysql://127.0.0.1:2883/mysql?&useUnicode=true&characterEncoding=UTF-8&rewriteBatchedStatements=true"
driver = "com.mysql.cj.jdbc.Driver"
user = "xxx@xxx"
password = "xxx"
generate_sink_sql = true
database = seatunnel
table = table1
}
}
多表方案同上
CDC 同步配置文件编写
手动同步表结构
由于 SeaTunnel 的 oceanbase 组件还是有所问题,表结构同步 遇到报错比较麻烦,这一步还是手动同步。
检查 MySQL Binlog 状态
赋予用户所需权限
mysql> GRANT SELECT, RELOAD, SHOW DATABASES, REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'user' IDENTIFIED BY 'password';
mysql> FLUSH PRIVILEGES;
检查binlog
日志是否开启
mysql> show variables where variable_name in ('log_bin', 'binlog_format', 'binlog_row_image', 'gtid_mode', 'enforce_gtid_consistency');
+--------------------------+----------------+
| Variable_name | Value |
+--------------------------+----------------+
| binlog_format | ROW |
| binlog_row_image | FULL |
| enforce_gtid_consistency | ON |
| gtid_mode | ON |
| log_bin | ON |
+--------------------------+----------------+
5 rows in set (0.00 sec)
如果不一致 请自行更改mysql.cnf
文件。
在大型数据库创建一致性快照时,可能会存在读超时,请合理配置!
interactive_timeoutwait_timeout
在处理完准备工作之后编写配置文件。
env {
parallelism = 1
job.mode = "STREAMING"
checkpoint.interval = 10000
}
source {
MySQL-CDC {
base-url = "jdbc:mysql://127.0.0.1:3306/mysql"
username = "xxx"
password = "xxx@xxx"
table-names = ["seatunnel.table1", "seatunnel.table2"]
startup.mode = "initial"
}
}
sink {
jdbc {
url = "jdbc:mysql://127.0.0.1:2883/mysql?&useUnicode=true&characterEncoding=UTF-8&rewriteBatchedStatements=true"
driver = "com.mysql.cj.jdbc.Driver"
user = "xxx@xxx"
password = "xxx"
database = "seatunnel" # 目标数据库
table-names = ["seatunnel.table1", "seatunnel.table2"]
generate_sink_sql = true # 自动生成 SQL
}
}
正常启动之后会进行历史数据迁移,再进行 CDC 变更。
注意:
启动之后会根据配置的表和startup.mode
选择的模式进行不同的操作。
startup.mode
操作如下: initial
启动时同步历史数据,然后同步增量数据earliest
,从最早的偏移量启动 latest
从最新偏移量启动specific
,从用户提供的特定偏移量启动。
如果使用specific
,需要添加startup.specific-offset.file binlog
文件名startup.specific-offset.pos binlog
偏转量。
本文完!

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Apache SeaTunnel(Incubating) 是一个分布式、高性能、易扩展、用于海量数据(离线&实时)同步和转化的数据集成平台。
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