How deeply does PostgreSQL Mistakes and How to Avoid Them cover consistency?

Defines the guarantee and demonstrates replication conflicts, but stops short of detailing a complete conflict-resolution strategy.

Consistency

As explained in PostgreSQL Mistakes and How to Avoid Them

Consistency is a distributed-system guarantee that reads return the most recent data or report an error.

Consistency guarantees that reads return the most recent data or report an error. Distributed designs trade it against availability, partition tolerance, and low latency. section 5.5

Multi-master PostgreSQL makes the tradeoff concrete:

Independent database instances can replicate in both directions, but shared writes can collide rather than behave like one coordinated database. section 5.5

A replicated ticket insert fails

After both nodes contain tickets 1–3, inserting a fourth ticket on the other node fails because its generated identity reuses an existing key. The conflict demonstrates why multi-master availability requires consistency compromises. section 5.5

How PostgreSQL Mistakes and How to Avoid Them covers it

Cover of PostgreSQL Mistakes and How to Avoid Them

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Also explained in

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ScyllaDB in ActionConsistency is the property that data observed through a system conforms to its specified rules for ordering and validity across replicas or operations.
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Machine Learning System DesignA quantitative measure of how consistently a model or machine learning system produces similar outputs under specified changes to inputs, data, or training conditions.
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API Design PatternsData consistency is the property that related views or copies of data agree with one another and reflect an appropriate current state.
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Software Testing with Generative AIConsistency is a quality characteristic concerning whether software and its data behave uniformly across equivalent inputs, operations, and uses.
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Simple Object-Oriented Design: Create clean, maintainable applicationsConsistency is the property of related software or domain data satisfying required rules and remaining mutually coherent.
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Starting Data Analytics with Generative AI and PythonThe property of data values and representations conforming to the same rules and conventions across records or sources.
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The Design of Web APIs, Second EditionConsistency in API design is the practice of applying the same structural, naming, typing, formatting, and behavioral conventions across related data and interfaces.
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Authorization in ActionConsistency is the uniform interpretation and application of authorization requests and decisions across enforcement components.
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Automating API DeliveryAPI consistency is the degree to which APIs follow coherent and uniform interface, behavior, and design conventions.
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Kafka for ArchitectsConsistency is the transaction property that preserves defined data rules while moving a system between valid states.
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Apache Kafka in ActionData consistency is the property that maintained copies or views of data agree with the intended current data.
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F# in Action: A Revised Edition of Get Programming with F#Language consistency is the design principle of applying a small set of general constructs and symbols across multiple programming situations.
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Platform Engineering on KubernetesData consistency is the property that data values and copies satisfy the required rules for agreement and correctness.
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Effective Data AnalysisConsistency is the degree to which data conforms to defined rules, constraints, formats, and representations across records and sources.
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LatencyA consistency guarantee is a specified condition governing the visibility and ordering of data updates across replicated copies.
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Amazon Web Services in Action, Third Edition: An in-depth guide to AWSA strongly consistent read is a database read that returns the most recent successfully completed write for the requested data.
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Building LLM Applications with DSPyConsistency is the degree to which a language model produces similar results across repeated calls with the same input and configuration.
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Elixir in Action, Third EditionConsistency is the property that a system's observed state and operation outcomes remain coherent according to its intended rules.
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Building Reliable AI SystemsThe degree to which a language model produces stable and coherent outputs across responses.

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Related concepts

ACIDpart of · ACID is the set of database transaction properties—atomicity, consistency, isolation, and durability—that characterize reliable transactional behavior.
eventual consistencycontrasts with · Eventual consistency is a distributed-data consistency model that allows replicas to differ temporarily but guarantees they converge to a consistent state after updates propagate, typically when no further updates occur.
linearizabilityequivalent to · Linearizability is a consistency property in which each operation appears to take effect atomically at a point between invocation and completion while preserving real-time order.
uptimecontrasts with · Uptime is the duration or proportion of a specified period during which a system or service is operational and available to provide its intended function.
CAP theorempart of · The CAP theorem is a distributed-systems impossibility result stating that consistency, availability, and partition tolerance cannot all be guaranteed during a network partition.

This explainer was generated by Manning's knowledge graph from the text of PostgreSQL Mistakes and How to Avoid Them. The section links point to the parts of the book it draws on.