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sookocheff.com | ||
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timilearning.com
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| | | | | Distributed databases typically divide their tables into partitions spread across different servers which get accessed by many clients. In these databases, client transactions often span the different servers, as the transactions may need to read from various partitions. A distributed transaction is a database transaction which spans multiple servers. This post will detail how databases guarantee some ACID properties when executing distributed transactions. | |
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pgdba.org
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johnjr.dev
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| | | | | When we study transactions in relational databases, one of the first things we learn are the guarantees that a transaction must provide. ACID(Atomicity, Consistency, Isolation, Durability) are the properties that we desire. Here, I will discuss the Isolation level in more detail and show that atomicity alone is not enough when handling concurrency. One classic example of the importance of atomicity is moving money between accounts. So, imagine that we have two accounts and we would like to transfer the total amount from one account to another one. In a relational database, what we need to do is three steps: | |
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www.confluent.io
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| | | Existing Confluent Cloud (CC) AWS users can now use Tableflow to easily represent Kafka topics as Iceberg tables and then leverage AWS Glue Data catalog to power real-time AI and analytics workloads. | ||
