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CONCURRENCY
Concurrency of Issues of Distributed
Advance Transaction
Presented by : ABDEL-HAFIZ AHMAD KHOUDOUR
Email : abdelhafiiz@yahoo.com
Concurrency Control
 when several transaction execute
concurrently in the database The
fundamental properties of the transaction
is isolation.
 The system must control the interaction
among the concurrent transaction.
 The control achieved through one of a
variety of mechanism called concurrency
control schemes .
 This concurrency – control schemes based
on the serializability property .
Lock based Protocol
 A locking protocol is a set of rules that
state when a transaction may lock and
unlock .
 To ensure serializability is to require that
data items be accessed in mutually
exclusive manner.
 While one transaction is accessing a data
item, no other transaction can modify that
data.
 The most common method used to
implement requirements is to allow a
transaction to access data item only if it is
currently holding a lock on that item.
 Two modes of data item may be locked
 Shared-mode (s) lock.
 Executive-mode (X) lock
Lock compatibility matrix
S X
S true false
X false false
• Shared mode is compatible with shared mode,
several shared mode lock can be held at the
same time on a particular data item .
• Every transaction request a lock depending on
the types of operations.
• A transaction will make by the concurrency –
control manager.
• Both of the transaction and the operation
continue after the concurrency-manager
grants the lock to the transaction.
Granting of Locks
The concurrency-control manager grants the lock
provided :
• If there is no other transaction holding a lock in
a conflicting mode.
• Also if there is no other transaction that is
waiting for a lock .
• A lock request made later will never get blocked
a lock request.
Implementation of locking
• Receive messages from transaction and sends
messages in reply.
• Replay to lock-request messages with lock-grants
messages.
• Unlock-messages require only and acknowledgment
In response, but may result in a grant messages to
another waiting transaction.
Graph-Based Protocols
• It impose restrictions on the order in which items are
accessed.
• in that way we can ensure serializability without
requiring of two-phase locking and can also ensure
deadlock freedom.
Timestamp – Based Protocols
• A method that to select an ordering among
transaction in advance.
• The most common method for doing so is to use a
timestamp-ordering scheme
Timestamps
The timestamp of the transactions determine the
serializability order.
There are two simple methods for implementing
this scheme:
1. Use the value of the system clock as the
timestamp, a transaction’s timestamp is equal
to the value of the clock when the transaction
enters the system.
Use a logical counter : is incremented when after a new
timestamp has been assigned
We can associate with each data items two values
W-timestamp
R-timestamp
Weak level of consistency
Serializability is a useful concept because it allows
programmers to ignore issues related to concurrency
when they code transaction.
For example SQL allows a transaction to specify that it
may executed in a way that becomes nonserializable
with respect to other transaction .

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Concurrency of Issues of Distributed Advance Transaction

  • 1. CONCURRENCY Concurrency of Issues of Distributed Advance Transaction Presented by : ABDEL-HAFIZ AHMAD KHOUDOUR Email : [email protected]
  • 2. Concurrency Control  when several transaction execute concurrently in the database The fundamental properties of the transaction is isolation.  The system must control the interaction among the concurrent transaction.
  • 3.  The control achieved through one of a variety of mechanism called concurrency control schemes .  This concurrency – control schemes based on the serializability property .
  • 4. Lock based Protocol  A locking protocol is a set of rules that state when a transaction may lock and unlock .  To ensure serializability is to require that data items be accessed in mutually exclusive manner.
  • 5.  While one transaction is accessing a data item, no other transaction can modify that data.  The most common method used to implement requirements is to allow a transaction to access data item only if it is currently holding a lock on that item.
  • 6.  Two modes of data item may be locked  Shared-mode (s) lock.  Executive-mode (X) lock Lock compatibility matrix S X S true false X false false
  • 7. • Shared mode is compatible with shared mode, several shared mode lock can be held at the same time on a particular data item . • Every transaction request a lock depending on the types of operations.
  • 8. • A transaction will make by the concurrency – control manager. • Both of the transaction and the operation continue after the concurrency-manager grants the lock to the transaction.
  • 9. Granting of Locks The concurrency-control manager grants the lock provided : • If there is no other transaction holding a lock in a conflicting mode. • Also if there is no other transaction that is waiting for a lock . • A lock request made later will never get blocked a lock request.
  • 10. Implementation of locking • Receive messages from transaction and sends messages in reply. • Replay to lock-request messages with lock-grants messages. • Unlock-messages require only and acknowledgment In response, but may result in a grant messages to another waiting transaction.
  • 11. Graph-Based Protocols • It impose restrictions on the order in which items are accessed. • in that way we can ensure serializability without requiring of two-phase locking and can also ensure deadlock freedom.
  • 12. Timestamp – Based Protocols • A method that to select an ordering among transaction in advance. • The most common method for doing so is to use a timestamp-ordering scheme
  • 13. Timestamps The timestamp of the transactions determine the serializability order. There are two simple methods for implementing this scheme: 1. Use the value of the system clock as the timestamp, a transaction’s timestamp is equal to the value of the clock when the transaction enters the system.
  • 14. Use a logical counter : is incremented when after a new timestamp has been assigned We can associate with each data items two values W-timestamp R-timestamp
  • 15. Weak level of consistency Serializability is a useful concept because it allows programmers to ignore issues related to concurrency when they code transaction. For example SQL allows a transaction to specify that it may executed in a way that becomes nonserializable with respect to other transaction .