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Key-Value Stores in Databases
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Key-Value Stores in Databases

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Questions and Answers

What is a key-value store, also referred to as?

  • object-oriented database
  • non-relational database (correct)
  • graph database
  • relational database
  • What is a requirement for a key in a key-value pair?

  • it must be unique (correct)
  • it must be a string
  • it can be null
  • it can be duplicated
  • What is the purpose of using a short key in a key-value store?

  • for better performance (correct)
  • for better data compression
  • for faster data retrieval
  • for better security
  • What type of data can a value in a key-value pair be?

    <p>strings, lists, objects, etc.</p> Signup and view all the answers

    What is the purpose of the put operation in a key-value store?

    <p>to insert a value associated with a key</p> Signup and view all the answers

    What is a characteristic of the key-value store designed in this chapter?

    <p>high availability and tunable consistency</p> Signup and view all the answers

    What is an advantage of using a hash table to store key-value pairs in a single server key-value store?

    <p>it keeps everything in memory</p> Signup and view all the answers

    What is a tradeoff that must be made when designing a key-value store?

    <p>between consistency and availability</p> Signup and view all the answers

    What is a major limitation of memory access?

    <p>It may not fit everything due to space constraints</p> Signup and view all the answers

    What is a common technique used to fit more data in a single server?

    <p>Data compression</p> Signup and view all the answers

    What is another name for a distributed key-value store?

    <p>Distributed hash table</p> Signup and view all the answers

    What does the CAP theorem state?

    <p>It is impossible for a distributed system to provide all three guarantees: consistency, availability, and partition tolerance</p> Signup and view all the answers

    What does consistency mean in the context of the CAP theorem?

    <p>All clients see the same data at the same time, no matter which node they connect to</p> Signup and view all the answers

    What is an AP key-value store?

    <p>A key-value store that supports availability and partition tolerance</p> Signup and view all the answers

    What is a partition in the context of the CAP theorem?

    <p>A communication break between two nodes</p> Signup and view all the answers

    What is a CA key-value store?

    <p>A key-value store that supports consistency and availability</p> Signup and view all the answers

    Study Notes

    Key-Value Stores

    • A key-value store is a non-relational database that stores unique identifiers as keys with their associated values.
    • Each key-value pair consists of a unique key and a value that can be accessed through the key.
    • Keys can be plain text or hashed values, and shorter keys are preferred for performance reasons.

    Key-Value Pair Examples

    • Plain text key: “last_logged_in_at”
    • Hashed key: 253DDEC4
    • Values can be strings, lists, objects, etc.

    Key-Value Store Operations

    • put(key, value): inserts “value” associated with “key”
    • get(key): gets “value” associated with “key”

    Design Requirements

    • Small key-value pair size: less than 10 KB
    • Ability to store big data
    • High availability: system responds quickly, even during failures
    • High scalability: system can be scaled to support large data sets
    • Automatic scaling: addition/deletion of servers should be automatic based on traffic
    • Tunable consistency
    • Low latency

    Single Server Key-Value Store

    • Storing key-value pairs in a hash table, keeping everything in memory
    • Optimizations:
      • Data compression
      • Store only frequently used data in memory and the rest on disk

    Distributed Key-Value Store

    • Also called a distributed hash table, distributing key-value pairs across many servers
    • CAP theorem: it is impossible for a distributed system to simultaneously provide more than two of the three guarantees: consistency, availability, and partition tolerance

    CAP Theorem Definitions

    • Consistency: all clients see the same data at the same time no matter which node they connect to
    • Availability: any client which requests data gets a response even if some of the nodes are down
    • Partition Tolerance: system continues to operate despite network partitions

    CAP Theorem Classification

    • CP (consistency and partition tolerance) systems: sacrifice availability
    • AP (availability and partition tolerance) systems: sacrifice consistency
    • CA (consistency and availability) systems: sacrifice partition tolerance

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    Quiz Team

    Description

    Learn about key-value stores, a type of non-relational database that uses unique identifiers as keys to access associated values. Understand the properties of keys and values in this data pairing.

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