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zhuchao941 avatar zhuchao941 commented on June 2, 2024
  1. 原生的全量同步逻辑实现，既不锁库也不锁表 就是普通的select语句查全表数据。如果数据量大于10000，则会通过线程池处理，线程数为核数。会按照单个任务获取10000条数据拆分。
    不过在数据量大的情况下，性能不好，一是存在深度分页问题，二是对于线程数的设置，并非cpu密集型任务，单纯用cpu核数感觉也缺乏考量
  2. 全量同步期间需要注意增量数据的处理，不然可能会丢失更新
  3. 我改造了源码，简单走了单线程的流式查询，也能满足大部分场景，且相对稳定，当然也存在流式查询的一些问题：比如更加需要重视增量数据的处理，长事务等
  4. 也可以考虑结合使用datax做离线的全量数据同步 + canal做增量数据同步，原理也是流式查询，不过做了任务拆分+并行化处理

from canal.

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