Teradata Architecture

Teradata Architecture

Teradata Database System are 2 Types       A) SMP(Symmetric Multi-Processing)
                                                                       B)MPP(Massively Parallel Processing)
A) SMP(Symmetric Multi-Processing): Teradata Database System is called SMP System, if it have single NODE that contains multiple CPU Sharing Memory Pool.
Node Architecture:

Node:   
1)      Node is important building block of the Teradata Database System and it is collection of Hardware and Software Components.
2)      A server can also be called as a Node.
3)      Channel Attached System and Network Attached Systems can be connect to a Node.
4)      Channel Driver and Teradata Gateway are the applications which runs under the Operating System as Processors.
5)      Remaining Components runs under PDE.
6)      PE and AMP are virtual Processors, where BYNET is the Communication Layer between PE and AMP.
PDE(Parallel Database Extention):
It Runs Teradata Components Parallel(PE,AMP and ByNet)
TPA(Trusted Parallel Application):
1)      A Database is  Pure Parallel or Trusted Parallel Application, if it runs Under PDE.
2)      Teradata is a Database which running under PDE, so we call Teradata is Trusted Parallel Database.
Note: For Giga Bytes of Data Processing with minimum operations, This ARCHITECTURE is Recommended.
PE(Parsing Engine):
1)      PE Takes SQL Request and Delivers Sql Response.
2)      It manages individual Sessions (up to 120).
3)      Parsing and Optimizing your SQL Requests.
4)      Dispatching the optimized plan to AMPs.
5)      Sending the answer set response back to  requesting Client.
AMP(Access Module Processor):
1)      AMP is the heart of Teradata which does most of the operations for data storage and retrieval.
2)      Each AMP is responsible for managing a portion of MAIN DISK SPACE(Virtual Disks).
3)      This space is not sharable by any other AMPs so we call this Architecture is Shared Nothing Architecture.
4)      Each AMP contain Database Management Sub System, it perform below operations.
i)        Performing DDL
ii)      Performing DML
iii)    Performing Joins
iv)    Performs Applying and Releasing locks
v)      Performing Aggregate Operations
vi)    Performing OLAP Operations
vii)  Performing SORTING Operations
BYNET (Banyan Net Work):
1)      Carries messages between the AMPs and PEs
2)      Provides Point-to-Point and Broadcast communications
3)      Merging answer sets and sends back to the PE and Making Teradata parallelism possible





4 comments:

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