What is CAP Theorem? what aspects Hadoop supports from this theorem?

Free Online Certification Courses – Learn Today. Lead Tomorrow. Forums Apache Hadoop What is CAP Theorem? what aspects Hadoop supports from this theorem?

Viewing 1 reply thread
  • Author
    Posts
    • #4688
      DataFlair TeamDataFlair Team
      Spectator

      <div class=”post”>

      What is CAP Theorem? what aspects Hadoop supports from this theorem?

      </div>

    • #4689
      DataFlair TeamDataFlair Team
      Spectator

      CAP Theorem is comprised of three technical terms:
      C – Consistency (All nodes see the data in homogeneous form i.e. every node has the same knowledge of data at any instant of time)

      A – Availability (A guarantee that every request receives a response which may be processed or failed)

      P – Partition Tolerance (The system continues to operate even if a message is lost or part of the system fails)

      Any system which satisfies two out of these three properties is a distributed system.

      Talking about Hadoop , it supports the Availability and Partition Tolerance property. The Consistency property is not supported because only namenode has the information of where the replicas are placed. This information is not available with each and every node of the cluster.

Viewing 1 reply thread
  • You must be logged in to reply to this topic.