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Distributed SQL Deep Dive: Inside YugabyteDB’s Two-Layer Architecture

Distributed SQL Deep Dive: Inside YugabyteDB’s Two-Layer Architecture

YugabyteDB is a 100% open source, distributed SQL database system. This single phrase expresses two distinct notions: a SQL database system, and a distributed database system. Historically, these notions were mutually exclusive. But current technology allows a single system to implement both notions. YugabyteDB does this with its two-layer architecture: an extensible query processing layer and a distributed document store.

In this blog post,

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Distributed PostgreSQL on a Google Spanner Architecture – Query Layer

Distributed PostgreSQL on a Google Spanner Architecture – Query Layer

Our previous post dived into the details of the storage layer of YugabyteDB called DocDB, a distributed document store inspired by Google Spanner. This post focuses on Yugabyte SQL (YSQL), a distributed, highly resilient, PostgreSQL-compatible SQL API layer powered by DocDB. A follow-up post will highlight the challenges faced and lessons learned when engineering such a database.

YSQL, Distributed PostgreSQL Made Real

Yugabyte SQL (YSQL) is a distributed and highly resilient SQL layer,

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Distributed PostgreSQL on a Google Spanner Architecture – Storage Layer

Distributed PostgreSQL on a Google Spanner Architecture – Storage Layer

In this post, we’ll dive into the architecture of the distributed storage layer of YugabyteDB, which is inspired by Google Spanner’s design. Our subsequent post covers the Query Layer, where the storage layer meets PostgreSQL as the SQL API. Finally, here is a follow-up post that highlights the key technical challenges we faced while engineering a distributed SQL database like YugabyteDB.

Logical Architecture

YugabyteDB is comprised of two logical layers,

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