BladePipe 1.9.0: New data pipelines, faster Oracle writes, and improved stability.
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PolarDB for MySQL 到 StarRocks

选择对端数据库:

数据链路

基本功能

功能说明
Schema Migration

If the target schema does not exist, BladePipe will automatically generate and execute CREATE statements based on the source metadata and the mapping rule.

Full Data Migration

Migrate data by sequentially scanning data in tables and writing it in batches to the target database.

Incremental Data Sync

Sync of common DML like INSERT, UPDATE, DELETE is supported.

Data Verification and Correction

Verify all existing data. Optionally, you can correct the inconsistent data based on verification results. Scheduled DataTasks are supported.
For more information, see Create Verification and Correction DataJob.

Subscription Modification

Add, delete, or modify the subscribed tables with support for historical data migration. For more information, see Modify Subscription.

Position Resetting

Reset positions by file position or timestamp. Allow re-consumption of incremental data logs in a past period or since a specific Binlog file and position.

Table Name Mapping

Support the mapping rules, namely, keeping the name the same as that in Source, converting the text to lowercase, converting the text to uppercase, truncating the name by "_digit" suffix.

DDL Synchronization
  • ALTER TABLE ADD COLUMN, MODIFY COLUMN, DROP COLUMN
  • CREATE TABLE (whole database sync)
  • RENAME TABLE (whole database sync)
  • DROP TABLE (whole database sync)
Metadata Retrieval

Retrieve the target metadata with filtering conditions or target primary keys set from the source table.

高级功能

功能说明
全量前清空目标数据

运行全量任务前清除老数据,包括重跑任务、定时全量迁移都会触发此能力

重建目标表

运行全量任务前重建目标表,包括重跑任务、定时全量迁移都会触发此能力

Stream Load 数据写入

采用 Stream Load 到 StarRocks Be 写入数据, 默认攒批写入,可动态调节刷出数据节奏和批次大小

0 值时间处理

支持将 0 值时间设置成不同类型的值,防止写入对端报错

Custom Table Properties

Include settings for properties such as bucket count and replica count.

When creating a DataJob, specify partition definitions at the table level (static or dynamic). Automatically add these partition definitions during schema migration.

Online DDL Compatibility

Support GH-OST, PT-OSC, Aliyun DMS Online DDL.

Scheduled Full Data Migration

For more information, see Create Scheduled Full Data DataJob.

Custom Code

For more information, see Custom Code Processing, Debug Custom Code and Logging in Custom Code.

Data Filtering Conditions

Support data filtering using WHERE conditions, with SQL-92 as the SQL language. For more information, see Data Filtering.

Setting Target Primary Key

Change the primary key to another field to facilitate data aggregation and other operations.

限制和注意点

限制项说明
对端表类型

仅支持 主键模型(Primary Key)

源端表类型

不支持 无主键表 迁移同步

DDL 同步报错
  • 同一张表连续几个 DDL 将报错(因 StarRocks 对端是异步 DDL)
  • 修改字段约束或者部分类型的 DDL 报错
  • 如遇到 DDL 报错,可在对端变更好表结构,然后通过设置任务参数跳过,文档:跳过 DDL 异常
增量写入冲突策略

Stream Load 写入以主键进行整行替换


源端数据源

前置条件

条件说明
账号权限

云数据库读写账号或高权限账号

开启 Binlog

云数据实例详情 > 配置与管理 > 参数配置 > 设置 loose_polar_log_bin 为 true

PolarDbMySQL 字符集

支持 utf8, utf8mb4, latin1, 其他编码暂未测试

任务参数

参数名称说明
parseBinlogParallel

增量解析 Binlog 的并发数

parseBinlogBufferSize

用于增量解析 Binlog 的环形队列大小

maxTransactionSize

单事务最大数据条数,超过则分段刷出

limitThroughputMb

限制增量 Binlog 流量

extraDDL

兼容额外的 DDL 同步,包括 PT, GHOST, ALI_DMS, PT_GHOST

needJsonEscape

将 json 中特殊字符进行转义,以写入到对端

Tips: 通用参数配置请参考 通用参数及功能


目标端数据源

前置条件

条件说明
账号权限

具备 SELECT, DDL 权限(可选)

网络准备

迁移同步节点(sidecar)可连接 StarRocks FE QueryPortFE/BE HttpPort

任务参数

参数名称说明
host

MySQL 协议交互链接,对应 StarRocks FE QueryPort

httpHost

StarRocks stream load 链接,对应 StarRocks FE/BE HttpPort

totalDataInMemMb

攒批写入,内存中最大数据容量,超过此容量或超过 asyncFlushIntervalSec 则刷出数据到写入队列

asyncFlushIntervalSec

攒批写入,等待刷出的间隔时间,超过此时间或超过 totalDataInMemMb 则刷出数据到写入队列

flushBatchMb

单表最大攒批容量,超过此容量则刷出数据到写入队列

realFlushPauseSec

使用 stream load 刷出数据到 StarRocks 的等待时间,0 则不等待

soTimeoutSec

在 QueryPort 执行操作时 tcp 超时链接 (so_timeout)

httpSoTimeoutSec

在 HttpPort 执行操作时 tcp 超时链接 (so_timeout)

enableTimeZoneProcess

是否对时间字段进行时区转换

timezone

目标端 StarRocks 时区,例如 +08:00 Asia/Shanghai America/New_York

maxInSizePerQuery

校验任务中,对端单次查询的最大 IN 条件值数量,大于该值会自动拆分多次查询

Tips: 通用参数配置请参考 通用参数及功能