1. 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。
1.1 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)java1.2 下载并安装seatunnel
进入官网下载页面，下载适合版本seatunnel : Apache SeaTunnel
我这里选择最新版本2.3.7
下载
wget https://dlcdn.apache.org/seatunnel/2.3.7/apache-seatunnel-2.3.7-bin.tar.gz
解压
tar -zxvf apache-seatunnel-2.3.7-bin.tar.gz 1.3 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
1.3.1 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然后输入命令
sh bin/install-plugin.sh 2.3.7
则开始自动下载连接器
1.3.2 手动下载方案
进入网站Central Repository: org/apache/seatunnel
找寻自己需要的插件例如：
connector-cdc-mysql-2.3.7.jar
connector-console-2.3.7.jar
connector-fake-2.3.7.jar
connector-jdbc-2.3.7.jar
seatunnel-transforms-v2-2.3.7.jar将文件手动下载之后 放入connectors
1.3.3 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
前往MySQL官网下载jdbc
MySQL :: Download MySQL Connector/J (Archived Versions)
将下载的mysql-connector-j-9.0.0.jar 放到 {seatunnel/lib}中
1.4 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，您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
***********************************************
2. 全量同步
2.1 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
2.2 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
2.2.1 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
***********************************************
2.2.2 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
***********************************************
2.3 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
2.4 CDC同步配置文件编写
2.4.1 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
2.4.2 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