Data Replication in Distributed System

Jul 13, 2010Download as PPSX, PDF9 likes8,825 views

This document discusses data replication in distributed systems. It describes two types of replication: synchronous and asynchronous. For asynchronous replication, there is primary site asynchronous and peer-to-peer asynchronous. The document then focuses on the lazy master framework, outlining components like the primary/secondary copies, ownership, propagation, refreshment, and configuration. It provides details on the system architecture involving log monitors, propagators, receivers, and refreshers. Finally, it covers topics like failure and recovery handling.

Data Replication in Distributed System Ehsan HessamiIslamic Azad University Of Qazvin

2 kind Data Replication1- Synchronous Replication2PC(Two Phase Commit Protocol)Exp: 2- Asynchronous Replication1- Primary Site Asynchronous2- Peer-Peer Asynchronous

Primary Site AsynchronousClientSecondary Copy Primary Copy aDbcUpdate and Read only TranslationLazy Update PropagationForward Update Transactions

Lazy master FrameworkOwnershipReplicaCopy1- Primary Copy (denoted by capital Letters)Propagation2- Secondary Copy (denoted by Lowercase Letters)Nodes1- Master Save Primary Copy Refreshment2- Slave Save Secondary Copy3- Master Slave Save Primary & Secondary Copy ConfigurationTransactions1- Update Transactions (T) Update Primary Copy2- Refresh Transactions (RT) Update Secondary Copy3- Queries (Q) Read Operation From Secondary Copy

Lazy master FrameworkOwnershipDefinesWhen The Update Transaction PrimaryCopy Must be Towards The Nodes Storing its SecondaryCopyPropagationRefreshmentType of Propagation1-immediateConfiguration2- deferred

Lazy master FrameworkOwnershipDefinesWhen The Refresh Transaction Must be Start on SecondaryCopy.(immediate , deferred , wait).PropagationRefreshmentThe Couple Formed by The Propagation And The Trigger Mode 1-deferred-immediateConfiguration2- immediate-immediate3- immediate-Wait

Lazy master FrameworkOwnershipDefinesThe Component node of a Replication Schema . EXP 1 Master , n SlavePropagationRefreshmentConfiguration

System architectureEach Node (Slave & Master) Support DB And 3 Component :1 – Replication Module1-1 – Log Monitor1-2 – Propagator1-3 – Receiver2 – Refresher3 – Network interface

System architectureLog MonitorPropagatorReceiverRefresher Used to extract changes to primary copy From History Log IF Find Write Operation , write into Input Log for Propagator

System architectureLog MonitorPropagatorReceiverRefresherEach Record Have 4 Parameter (Primary ID , Field ID , Operation , New_Value).Propagator have 2 State : immediate , deferred

System architectureLog MonitorPropagatorReceiverRefresher Each Message save in Reception Log Receiver Read from Reception LogIF we have 1 Master Node then Queue is 1 .

System architectureLog MonitorPropagatorReceiverRefresherChecking the Queue for new incoming Record .Refresher is 3 kind : deferred-immediate , Immediate-immediate , Immediate_ wait

Connect and DisconnectEach Connect and Disconnect save in Historylog .ConnectTable Showing the nodes are Connect . Each node Have ConnectTable (Node_id,Replica_id , Status) .< “Connect” , Master_id , Slave_id , Replica_id >< “Disconnect” , Master_id , Slave_id , Replica_id >

Failure & RecoverySlave Failure :All the Connected Master Must Stop Sending Message To itSlave Recovery is Performed in 2 state :1- < “Reconnect” , Master_id , Slave_id , Replica_id , Message_id >2 – Searching in the Reception Log for all messages received from Master_id but not yet Processed by the Refresher .

Failure & RecoveryMaster Failure : The Slave Receiver a Fail Record :< “Fail” , Master_id >Master Recovery :< “Reconnect” , Master_id , Slave_id , Replica_id , Message_id >* . Message_id is null

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Data Replication in Distributed System

1. Data Replication in Distributed System Ehsan HessamiIslamic Azad University Of Qazvin

2. 2 kind Data Replication1- Synchronous Replication2PC(Two Phase Commit Protocol)Exp: 2- Asynchronous Replication1- Primary Site Asynchronous2- Peer-Peer Asynchronous

3. Primary Site AsynchronousClientSecondary Copy Primary Copy aDbcUpdate and Read only TranslationLazy Update PropagationForward Update Transactions

4. Lazy master FrameworkOwnershipReplicaCopy1- Primary Copy (denoted by capital Letters)Propagation2- Secondary Copy (denoted by Lowercase Letters)Nodes1- Master Save Primary Copy Refreshment2- Slave Save Secondary Copy3- Master Slave Save Primary & Secondary Copy ConfigurationTransactions1- Update Transactions (T) Update Primary Copy2- Refresh Transactions (RT) Update Secondary Copy3- Queries (Q) Read Operation From Secondary Copy

5. Lazy master FrameworkOwnershipDefinesWhen The Update Transaction PrimaryCopy Must be Towards The Nodes Storing its SecondaryCopyPropagationRefreshmentType of Propagation1-immediateConfiguration2- deferred

6. Lazy master FrameworkOwnershipDefinesWhen The Refresh Transaction Must be Start on SecondaryCopy.(immediate , deferred , wait).PropagationRefreshmentThe Couple Formed by The Propagation And The Trigger Mode 1-deferred-immediateConfiguration2- immediate-immediate3- immediate-Wait

7. Lazy master FrameworkOwnershipDefinesThe Component node of a Replication Schema . EXP 1 Master , n SlavePropagationRefreshmentConfiguration

8. System architectureEach Node (Slave & Master) Support DB And 3 Component :1 – Replication Module1-1 – Log Monitor1-2 – Propagator1-3 – Receiver2 – Refresher3 – Network interface

9. System architectureLog MonitorPropagatorReceiverRefresher Used to extract changes to primary copy From History Log IF Find Write Operation , write into Input Log for Propagator

10. System architectureLog MonitorPropagatorReceiverRefresherEach Record Have 4 Parameter (Primary ID , Field ID , Operation , New_Value).Propagator have 2 State : immediate , deferred

11. System architectureLog MonitorPropagatorReceiverRefresher Each Message save in Reception Log Receiver Read from Reception LogIF we have 1 Master Node then Queue is 1 .

12. System architectureLog MonitorPropagatorReceiverRefresherChecking the Queue for new incoming Record .Refresher is 3 kind : deferred-immediate , Immediate-immediate , Immediate_ wait

13. Connect and DisconnectEach Connect and Disconnect save in Historylog .ConnectTable Showing the nodes are Connect . Each node Have ConnectTable (Node_id,Replica_id , Status) .< “Connect” , Master_id , Slave_id , Replica_id >< “Disconnect” , Master_id , Slave_id , Replica_id >

14. Failure & RecoverySlave Failure :All the Connected Master Must Stop Sending Message To itSlave Recovery is Performed in 2 state :1- < “Reconnect” , Master_id , Slave_id , Replica_id , Message_id >2 – Searching in the Reception Log for all messages received from Master_id but not yet Processed by the Refresher .

15. Failure & RecoveryMaster Failure : The Slave Receiver a Fail Record :< “Fail” , Master_id >Master Recovery :< “Reconnect” , Master_id , Slave_id , Replica_id , Message_id >* . Message_id is null

Data Replication in Distributed System

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