DistOS 2015W Session 11: Difference between revisions

From Soma-notes
Shivjot (talk | contribs)
Shivjot (talk | contribs)
Line 21: Line 21:


== Dynamo==
== Dynamo==
* Amazon's Key Value Store
*Availability is the buzz word for Dynamo. Dynamo=Availability
*Availability is the buzz word for Dynamo. Dynamo=Availability
*Shifted Computer Science paradigm from caring about the consistency to availability.
*Shifted Computer Science paradigm from caring about the consistency to availability.
Line 26: Line 27:
*Treats failure handling as normal case without impact on availability and performance.
*Treats failure handling as normal case without impact on availability and performance.
*Data is partitioned and replicated using consistent hashing and consistency is facilitated by use of object versioning.
*Data is partitioned and replicated using consistent hashing and consistency is facilitated by use of object versioning.
* This system has certain requirements such as:
** Query Model: Simple read and write operations to data item that are uniquely identified by a key.
**ACID properties: Atomicity, Consistency, Isolation, Durability.
**Efficiency: System needs to function on a commodity hardware infrastructure.
* The system consists of Service Level Agreements(SLA), which is a negotiated contract between a client and a service regarding characteristics related to systems. They are used in order to guarantee that in a bounded time period, an application can deliver it's functionality.


==Cassandra==
==Cassandra==

Revision as of 23:18, 30 March 2015

BigTable

  • Google System used for storing data of various Google Products, for instance Google Analytics, Google Finance, Orkut, Personalized Search, Writely, Google Earth and many more
  • Big table is
    • Sparse
    • Persistant
    • Muti dimensional Sorted Map
  • It is indexed by
    • Row Key: Every read or write of data under single row key is atomic. Each row range is called Tablet. Select Row key to get good locality for data access.
    • Column Key: Grouped into sets called Column Families. Forms basic unit of Access Control.All data stored is of same type.Syntax used: family:qualifier
    • Time Stamp:Each cell consists of multiple versions of same data which are indexed by Timestamps.In order to avoid collisions, Timestamps need to be generated by applications.
  • Big Table API: Provides functions for
    • Creating and Deleting
      • Tables
      • Column Families
    • Changing Cluster
    • Changing Table
    • Column Family metadata like Access Control Rights.
    • Set of wrappers which allow Big Data to be used both as
      • Input source
      • Output Target

Dynamo

  • Amazon's Key Value Store
  • Availability is the buzz word for Dynamo. Dynamo=Availability
  • Shifted Computer Science paradigm from caring about the consistency to availability.
  • Sacrifices consistency under certain failure scenarios.
  • Treats failure handling as normal case without impact on availability and performance.
  • Data is partitioned and replicated using consistent hashing and consistency is facilitated by use of object versioning.
  • This system has certain requirements such as:
    • Query Model: Simple read and write operations to data item that are uniquely identified by a key.
    • ACID properties: Atomicity, Consistency, Isolation, Durability.
    • Efficiency: System needs to function on a commodity hardware infrastructure.
  • The system consists of Service Level Agreements(SLA), which is a negotiated contract between a client and a service regarding characteristics related to systems. They are used in order to guarantee that in a bounded time period, an application can deliver it's functionality.

Cassandra

  • Partitions data across the cluster using consistent hashing.

Spanner

  • Provided data consistency and Supports SQL like Interface