Aurora for MySQL 到 Elasticsearch

选择对端数据库：

Elasticsearch

数据链路

基本功能

功能	说明
Schema Migration	If the target index does not exist, BladePipe will create the index mapping in the target based on the source metadata and mapping rules.
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. UPDATE and DELETE for tables without primary keys are not synced.
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.
Index Name Mapping	Support the mapping rules, namely, concatenation with underscores (dataJobName_DB_SCHEMA_table), 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 Sync	ALTER TABLE ADD COLUMN
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
ES 时间写入格式	以该字段的第一个时间格式写入 Elasticsearch，如果未设置时间格式，则使用 yyyy-MM-dd'T'HH:mm:ss 格式
ES 时区设置	只有当时间格式的时区为 ZZZZZ 时，才会将页面设置的时区写入到 Elasticsearch
Optional Fields in Indexing	By default, all fields are indexed. Specific fields can be excluded from indexing.
Field-level Analyzers	Allow selecting analyzers for string fields that are indexed. Support STANDARD (default), SIMPLE, and other common analyzers, with the option to specify custom analyzers.
Setting Index _id Field	By default, the _id field is a concatenation of the source primary key values. It can be changed to other field values.
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
MySQL 存储引擎	支持 InnoDB, MySIAM, 阿里云 XEngine, 其他存储引擎暂未测试
MySQL 字符集	支持 utf8, utf8mb4, latin1, 其他编码暂未测试

使用示例

标题	详情
Elasticsearch 对端同步技术详解	文档：Elasticsearch 对端同步技术详解

链路FAQ

• MySQL 任务延迟怎么办?

• MySQL 源端找不到 binlog 文件

• 如何打开 MySQL 源端心跳?

• MySQL 源端 Schema 权限报错怎么办?

  Tips: MySQL 源端相关 FAQ 同样适用于 MySQL 系数据源。

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源端数据源

前置条件

条件	说明
账号权限	文档：MySQL / MariaDB 需要的权限
开启 Binlog	[mysqld] log-bin=mysql-bin # 开启 Binlog binlog-format=ROW # 选择 ROW 模式 binlog_row_image=FULL # 变更带所有列数据

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
fullDataSqlConditionEnabled	将过滤条件拼入 SQL 中进行源端数据扫描，此参数只针对全量迁移有效
srcTimeZone	源端时区，例如 +08:00, Asia/Shanghai, America/New_York 等

Tips: 通用参数配置请参考 通用参数及功能

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目标端数据源

前置条件

条件	说明
账号权限	具备索引的 create, delete, create_index, delete_index, read, write 权限
网络准备	迁移同步节点（sidecar）可连接 Elasticsearch 节点

任务参数

参数名称	说明
maxBulkSizeMb	单表最大攒批容量，超过此容量则刷出数据到写入队列
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
realFlushPauseSec	使用 Bulk Write 刷出数据到 ElasticSearch 的等待时间，0 则不等待
pkSeparator	拼接 _id 的分隔符（字段数 > 1）
enableBulkSizeThreshold	启用批量写入模式（默认开启）

Tips: 通用参数配置请参考 通用参数及功能