Second Brain: Crafted, Curated, Connected, Compounded on 10月02日 21:15
ACID事务:保障数据湖一致性的核心机制
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ACID事务是确保数据湖操作原子性、一致性、隔离性和持久性的关键。它借鉴了数据库的特性,即使在S3等存储层处理简单文件时,也能保证数据读写、修改的完整性。原子性确保操作要么全部成功,要么全部回滚,防止数据丢失;一致性保证数据变更符合预定规则,避免引入错误;隔离性使得并发操作互不干扰,如同串行执行;持久性则保证已提交的事务更改永久保存,不受系统故障影响。这些特性使得数据湖在处理复杂数据时也能达到数据库级别的可靠性。

⚛️ **原子性(Atomicity)**:ACID事务将对数据的每次读、写、更新或删除操作视为一个不可分割的整体。这意味着要么整个操作单元成功执行,要么全部失败并回滚,从而有效防止了因部分操作失败导致的数据不完整或丢失,尤其是在数据源发生故障时,这一特性至关重要。

⚖️ **一致性(Consistency)**:此特性确保所有事务都将表的状态从一个有效状态转移到另一个有效状态。它防止了数据损坏或错误导致的数据完整性问题,保证了数据在任何时候都符合预定义的规则和约束,避免了不可预测的后果。

🔀 **隔离性(Isolation)**:当多个用户同时读写同一张表时,隔离性确保了各个并发事务之间不会相互干扰。每个事务都感觉像是独立、顺序执行的,即使它们实际上是同时发生的,从而维护了并发操作的正确性和数据的准确性。

💾 **持久性(Durability)**:一旦一个事务被成功提交,其对数据的更改就会被永久保存下来。即使在发生系统故障(如断电或服务器崩溃)的情况下,这些已提交的更改也不会丢失,保证了数据的长期可靠性。

An ACID Transaction secures that either all changes are successfully committed or rollbacked. It makes sure you never end in an inconsistent state. There is different concurrency control that, for example, guarantees consistency between reads and writes. Each data lake table format has other implementations and features here. Read more on the respective Table Format.

A.C.I.D. stands for Atomicity, Consistency, Isolation, and Durability. Normally if these are given, we talk about a Database. But nowadays with Data Lakes such as Delta Lake that deals with simple S3 files (Storage Layer), these got inspired by databases and added these features as well.

ACID transactions guarantee that each read, write, or modification of a table has the following properties:

    Atomicity - each statement in a transaction (to read, write, update or delete data) is treated as a single unit. Either the entire statement is executed, or none of it is executed. This property prevents data loss and corruption from occurring if, for example, if your streaming data source fails mid-stream.Consistency - ensures that transactions only make changes to tables in predefined, predictable ways. Transactional consistency ensures that corruption or errors in your data do not create unintended consequences for the integrity of your table.Isolation - when multiple users are reading and writing from the same table all at once, isolation of their transactions ensures that the concurrent transactions don’t interfere with or affect one another. Each request can occur as though they were occurring one by one, even though they’re actually occurring simultaneously.Durability - ensures that changes to your data made by successfully executed transactions will be saved, even in the event of system failure.
    Source

See also Use transactional processing from one article.


Origin: [Data Lake / Lakehouse Guide: Powered by Data Lake Table Formats (Delta Lake, Iceberg, Hudi) ](https://ssp.sh/blog/data-lake-lakehouse-guide/)
References: Data Lake Table Format
Created 2022-08-11

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ACID 数据湖 Delta Lake 事务 数据一致性 Atomicity Consistency Isolation Durability Data Lake Transactions
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