Unit 07 dbms

DATABASE MANAGEMENT SYSTEMS

MALLA REDDY ENGG. COLLEGE HYD

II B. Tech CSE II Semester

UNIT-VII PPT SLIDES

Text Books: (1) DBMS by Raghu Ramakrishnan
(2) DBMS by Sudarshan and Korth

INDEX
UNIT-7 PPT SLIDES
S.NO Module as per Lecture PPT
Session planner No Slide NO
----------------------------------------------------------------------------------------------------------------------
1. Recovery and Atomicity & Log based recovery L1 L1- 1 to L1- 7
2. Log based recovery L2 L2- 1 to L2- 8
3. Recovery with concurrent transactions L3 L3- 1 to L3- 5
4. Buffer management L4 L4- 1 to L4- 5
5. Failure with loss of Nonvolatile storage L5 L5- 1 to L5- 10
6. Advanced recovery techniques L6 L6- 1 to L6 -5
7. ARIES L7 L7- 1 to L7- 9
8. Remote backup systems L8 L8- 1 to L8- 4

Recovery and Atomicity

• Modifying the database without ensuring that the
transaction will commit may leave the database in
an inconsistent state.
• Consider transaction Ti that transfers $50 from
account A to account B; goal is either to perform all
database modifications made by Ti or none at all.
• Several output operations may be required for Ti (to
output A and B). A failure may occur after one of
these modifications have been made but before all of
them are made.

Slide No.L1-1

Recovery and Atomicity (Cont.)
• To ensure atomicity despite failures, we first output
information describing the modifications to stable storage
without modifying the database itself.
• We study two approaches:
– log-based recovery, and
– shadow-paging
• We assume (initially) that transactions run serially, that
is, one after the other.

Slide No.L1-2

Recovery Algorithms
• Recovery algorithms are techniques to ensure database
consistency and transaction atomicity and durability
despite failures
– Focus of this chapter
• Recovery algorithms have two parts
1. Actions taken during normal transaction processing
to ensure enough information exists to recover from
failures
2. Actions taken after a failure to recover the database
contents to a state that ensures atomicity,
consistency and durability

Slide No.L1-3

Log-Based Recovery
• A log is kept on stable storage.
– The log is a sequence of log records, and maintains a record
of update activities on the database.
• When transaction Ti starts, it registers itself by writing a
<Ti start>log record
• Before Ti executes write(X), a log record <Ti, X, V1, V2> is written,
where V1 is the value of X before the write, and V2 is the value to
be written to X.
– Log record notes that Ti has performed a write on data item Xj
Xj had value V1 before the write, and will have value V2 after
the write.
• When Ti finishes it last statement, the log record <Ti commit> is
written.
• We assume for now that log records are written directly to stable
storage (that is, they are not buffered)
• Two approaches using logs
– Deferred database modification
– Immediate database modification

Slide No.L1-4

Deferred Database Modification
• The deferred database modification scheme
records all modifications to the log, but defers all
the writes to after partial commit.
• Assume that transactions execute serially
• Transaction starts by writing <Ti start> record to
log.
• A write(X) operation results in a log record <Ti, X,
V> being written, where V is the new value for X
– Note: old value is not needed for this scheme
• The write is not performed on X at this time, but is
deferred.
• When Ti partially commits, <Ti commit> is written
to the log
• Finally, the log records are read and used to
actually execute the previously deferred writes.
Slide No.L1-5

Deferred Database Modification (Cont.)
• During recovery after a crash, a transaction needs to
be redone if and only if both <Ti start> and<Ti
commit> are there in the log.
• Redoing a transaction Ti ( redoTi) sets the value of all
data items updated by the transaction to the new
values.
• Crashes can occur while
– the transaction is executing the original updates,
or
– while recovery action is being taken
• example transactions T0 and T1 (T0 executes before
T1):T0: read (A) T1 : read (C)
A: - A - 50 C:-C- 100
Write (A) write (C)
read (B)
B:- B + 50 Slide No.L1-6

write (B)

Deferred Database Modification (Cont.)

• Below we show the log as it appears at three instances
of time.

• If log on stable storage at time of crash is as in case:
(a) No redo actions need to be taken
(b) redo(T0) must be performed since <T0 commit> is present
(c) redo(T0) must be performed followed by redo(T1) since
<T0 commit>No.L1-7 i commit> are present
Slide and <T

Immediate Database Modification
• The immediate database modification scheme
allows database updates of an uncommitted
transaction to be made as the writes are issued
– since undoing may be needed, update logs must
have both old value and new value
• Update log record must be written before database
item is written
– We assume that the log record is output directly
to stable storage
– Can be extended to postpone log record output,
so long as prior to execution of an output(B)
operation for a data block B, all log records
corresponding to items B must be flushed to
stable storage

Slide No.L2-1

Immediate Database Modification

• Output of updated blocks can take place at any
time before or after transaction commit
• Order in which blocks are output can be different
from the order in which they are written.
• Recovery procedure has two operations instead of
one:
– undo(Ti) restores the value of all data items
updated by Ti to their old values, going
backwards from the last log record for Ti
– redo(Ti) sets the value of all data items updated
by Ti to the new values, going forward from the
first log record for Ti

Slide No.L2-2

Immediate Database Modification (Cont.)
• Both operations must be idempotent
– That is, even if the operation is executed
multiple times the effect is the same as if it is
executed once
• Needed since operations may get re-
executed during recovery
• When recovering after failure:
– Transaction Ti needs to be undone if the log
contains the record
<Ti start>, but does not contain the record <Ti
commit>.
– Transaction Ti needs to be redone if the log
contains both the record <Ti start> and the
record <Ti commit>.
• Undo operations are performed first, then redo
operations. Slide No.L2-3

Immediate Database Modification Example
Log Write Output

<T0 start>
<T0, A, 1000, 950>
To, B, 2000, 2050
A = 950
B = 2050
<T0 commit>
<T1 start>
<T1, C, 700, 600>
x1
C = 600
BB, BC
<T1 commit>
BA
• Note: BX denotes block containing X.

Slide No.L2-4

Immediate DB Modification Recovery Example
Below we show the log as it appears at three
instances of time.

Recovery actions in each case above are:
(a) undo (T0): B is restored to 2000 and A to 1000.
(b) undo (T1) and redo (T0): C is restored to 700, and
then A and B are
set to 950 and 2050 respectively.
(c) redo (T0) and redo (T1): A and B are set to 950 and
2050
respectively. Then C is set to 600
Slide No.L2-5

Checkpoints
• Problems in recovery procedure as discussed earlier :
1. searching the entire log is time-consuming
2. we might unnecessarily redo transactions which
have already
3. output their updates to the database.
• Streamline recovery procedure by periodically
performing checkpointing
1. Output all log records currently residing in main
memory onto stable storage.
2. Output all modified buffer blocks to the disk.
3. Write a log record < checkpoint> onto stable
storage.

Slide No.L2-6

Checkpoints (Cont.)
• During recovery we need to consider only the most recent
transaction Ti that started before the checkpoint, and
transactions that started after Ti.
1. Scan backwards from end of log to find the most recent
<checkpoint> record
2. Continue scanning backwards till a record <Ti start> is
found.
3. Need only consider the part of log following above start
record. Earlier part of log can be ignored during
recovery, and can be erased whenever desired.
4. For all transactions (starting from Ti or later) with no
<Ti commit>, execute undo(Ti). (Done only in case of
immediate modification.)
5. Scanning forward in the log, for all transactions
starting from Ti or later with a <Ti commit>,
execute redo(Ti).
Slide No.L2-7

Example of Checkpoints

Tc Tf
T1
T2
T3
T4

checkpoint system failure

• T1 can be ignored (updates already output to disk due to
checkpoint)
• T2 and T3 redone.
• T4 undone
Slide No.L2-8

Recovery With Concurrent Transactions
• We modify the log-based recovery schemes to allow
multiple transactions to execute concurrently.
– All transactions share a single disk buffer and a
single log
– A buffer block can have data items updated by
one or more transactions
• We assume concurrency control using strict two-
phase locking;
– i.e. the updates of uncommitted transactions
should not be visible to other transactions
• Otherwise how to perform undo if T1 updates
A, then T2 updates A and commits, and
finally T1 has to abort?
• Logging is done as described earlier.
– Log records of different transactions may be
interspersed in the log.
Slide No.L3-1

Recovery With Concurrent Transactions
• The checkpointing technique and actions taken
on recovery have to be changed
– since several transactions may be active when
a checkpoint is performed.

• Checkpoints are performed as before, except that
the checkpoint log record is now of the form
< checkpoint L>
where L is the list of transactions active at the
time of the checkpoint
– We assume no updates are in progress while
the checkpoint is carried out (will relax this
later)

Slide No.L3-2

Recovery With Concurrent Transactions (Cont.)

• When the system recovers from a crash, it first does
the following:
1. Initialize undo-list and redo-list to empty
2. Scan the log backwards from the end, stopping
when the first <checkpoint L> record is found.
For each record found during the backward
scan:
if the record is <Ti commit>, add Ti to redo-list
if the record is <Ti start>, then if Ti is not in
redo-list, add Ti to undo-list
1. For every Ti in L, if Ti is not in redo-list, add Ti to
undo-list

Slide No.L3-3

Recovery With Concurrent Transactions (Cont.)
• At this point undo-list consists of incomplete
transactions which must be undone, and redo-list
consists of finished transactions that must be redone.
• Recovery now continues as follows:
1. Scan log backwards from most recent record,
stopping when
<Ti start> records have been encountered for every Ti
in undo-list.
During the scan, perform undo for each log record that
belongs to a transaction in undo-list.
1. Locate the most recent <checkpoint L> record.
2. Scan log forwards from the <checkpoint L> record
till the end of the log.
During the scan, perform redo for each log record that
belongs to a transaction on redo-list

Slide No.L3-4

Example of Recovery
• Go over the steps of the recovery algorithm on the
following log:
<T0 start>
<T0, A, 0, 10>
<T0 commit>
<T1 start> /* Scan at step 1 comes up to here */
<T1, B, 0, 10>
<T2 start>
<T2, C, 0, 10>
<T2, C, 10, 20>
<checkpoint {T1, T2}>
<T3 start>
<T3, A, 10, 20>
<T3, D, 0, 10>
<T3 commit>

Slide No.L3-5

Log Record Buffering

• Log record buffering: log records are buffered in main
memory, instead of of being output directly to stable
storage.
– Log records are output to stable storage when a
block of log records in the buffer is full, or a log
force operation is executed.
• Log force is performed to commit a transaction by
forcing all its log records (including the commit record)
to stable storage.
• Several log records can thus be output using a single
output operation, reducing the I/O cost.

Slide No.L4-1

Log Record Buffering (Cont.)
• The rules below must be followed if log records are
buffered:
– Log records are output to stable storage in the order
in which they are created.
– Transaction Ti enters the commit state only when the
log record
<Ti commit> has been output to stable storage.
– Before a block of data in main memory is output to
the database, all log records pertaining to data in
that block must have been output to stable storage.
• This rule is called the write-ahead logging or WAL rule
– Strictly speaking WAL only requires undo information to
be output

Slide No.L4-2

Database Buffering
• Database maintains an in-memory buffer of data blocks
– When a new block is needed, if buffer is full an
existing block needs to be removed from buffer
– If the block chosen for removal has been updated, it
must be output to disk
• If a block with uncommitted updates is output to disk,
log records with undo information for the updates are
output to the log on stable storage first
– (Write ahead logging)
• No updates should be in progress on a block when it is
output to disk. Can be ensured as follows.
– Before writing a data item, transaction acquires
exclusive lock on block containing the data item
– Lock can be released once the write is completed.
• Such locks held for short duration are called latches.
– Before a block is output to disk, the system acquires
an exclusive latch on the block
• Ensures no update can be in progress on the block
Slide No.L4-3

Buffer Management (Cont.)
• Database buffer can be implemented either
– in an area of real main-memory reserved for the
database, or
– in virtual memory
• Implementing buffer in reserved main-memory has
drawbacks:
– Memory is partitioned before-hand between
database buffer and applications, limiting
flexibility.
– Needs may change, and although operating
system knows best how memory should be divided
up at any time, it cannot change the partitioning
of memory.
• Database buffers are generally implemented in
virtual memory in spite of some drawbacks:
– When operating system needs to evict a page that
has been modified, the page is written to swap
space on disk.
Slide No.L4-4

Buffer Management (Cont.)
– When database decides to write buffer page
to disk, buffer page may be in swap space,
and may have to be read from swap space on
disk and output to the database on disk,
resulting in extra I/O!
• Known as dual paging problem.
– Ideally when OS needs to evict a page from
the buffer, it should pass control to database,
which in turn should
1. Output the page to database instead of to
swap space (making sure to output log
records first), if it is modified
2. Release the page from the buffer, for the
OS to use
Dual paging can thus be avoided, but
common operating systems do not support
such functionality.
Slide No.L4-5

Failure with Loss of Nonvolatile Storage

• So far we assumed no loss of non-volatile
storage
• Technique similar to checkpointing used to
deal with loss of non-volatile storage
– Periodically dump the entire content of the
database to stable storage
– No transaction may be active during the dump
procedure; a procedure similar to checkpointing
must take place
• Output all log records currently residing in main
memory onto stable storage.
• Output all buffer blocks onto the disk.
• Copy the contents of the database to stable storage.
• Output a record <dump> to log on stable storage.

Slide No.L5-1

Recovering from Failure of Non-Volatile Storage

• To recover from disk failure
– restore database from most recent dump.
– Consult the log and redo all transactions that
committed after the dump
• Can be extended to allow transactions to be
active during dump;
known as fuzzy dump or online dump
– Will study fuzzy checkpointing later

Slide No.L5-2

Advanced Recovery: Key Features
• Support for high-concurrency locking techniques,
such as those used for B+-tree concurrency control,
which release locks early
– Supports “logical undo”
• Recovery based on “repeating history”, whereby
recovery executes exactly the same actions as
normal processing
– including redo of log records of incomplete
transactions, followed by subsequent undo
– Key benefits
• supports logical undo
• easier to understand/show correctness

Slide No.L5-3

Advanced Recovery: Logical Undo Logging

• Operations like B+-tree insertions and deletions
release locks early.
– They cannot be undone by restoring old values
(physical undo), since once a lock is released,
other transactions may have updated the B+-
tree.
– Instead, insertions (resp. deletions) are undone
by executing a deletion (resp. insertion)
operation (known as logical undo).
• For such operations, undo log records should
contain the undo operation to be executed
– Such logging is called logical undo logging, in
contrast to physical undo logging
• Operations are called logical operations

Slide No.L5-4

Advanced Recovery: Physical Redo
• Redo information is logged physically (that is, new
value for each write) even for operations with logical
undo
– Logical redo is very complicated since database state
on disk may not be “operation consistent” when
recovery starts
– Physical redo logging does not conflict with early lock
release

Slide No.L5-5

Advanced Recovery: Operation Logging
• Operation logging is done as follows:
1. When operation starts, log <Ti, Oj, operation-begin>.
Here Oj is a unique identifier of the operation
instance.
2. While operation is executing, normal log records with
physical redo and physical undo information are
logged.
3. When operation completes, <Ti, Oj, operation-end,
U> is logged, where U contains information needed
to perform a logical undo information.
Example: insert of (key, record-id) pair (K5, RID7) into
index I9 operation-begin>
<T1, O1,
…. Physical redo of steps in insert
<T1, X, 10, K5>
<T1, Y, 45, RID7>
<T1, O1, operation-end, (delete I9, K5, RID7)>
Slide No.L5-6

Advanced Recovery: Operation Logging (Cont.)
• If crash/rollback occurs before operation
completes:
– the operation-end log record is not found, and
– the physical undo information is used to undo
operation.
• If crash/rollback occurs after the operation
completes:
– the operation-end log record is found, and in
this case
– logical undo is performed using U; the physical
undo information for the operation is ignored.
• Redo of operation (after crash) still uses physical
redo information.

Slide No.L5-7

Advanced Recovery: Txn Rollback
Rollback of transaction Ti is done as follows:
• Scan the log backwards
1. If a log record <Ti, X, V1, V2> is found, perform the undo
and log a special redo-only log record <Ti, X, V1>.
2. If a <Ti, Oj, operation-end, U> record is found
• Rollback the operation logically using the undo
information U.
– Updates performed during roll back are logged
just like during normal operation execution.
– At the end of the operation rollback, instead of
logging an operation-end record, generate a
record
<Ti, Oj, operation-abort>.
• Skip all preceding log records for Ti until the record
<Ti, Oj operation-begin> is found

Slide No.L5-8

Advanced Recovery: Txn Rollback (Cont.)

• Scan the log backwards (cont.):
3. If a redo-only record is found ignore it
4. If a <Ti, Oj, operation-abort> record is found:
skip all preceding log records for Ti until the record
<Ti, Oj, operation-begin> is found.
3. Stop the scan when the record <Ti, start> is found
4. Add a <Ti, abort> record to the log
Some points to note:
• Cases 3 and 4 above can occur only if the database
crashes while a transaction is being rolled back.
• Skipping of log records as in case 4 is important to
prevent multiple rollback of the same operation.

Slide No.L5-9

Advanced Recovery: Txn Rollback Example

• Example with a complete and an incomplete operation
<T1, start>
<T1, O1, operation-begin>
….
<T1, X, 10, K5>
<T1, Y, 45, RID7>
<T1, O1, operation-end, (delete I9, K5, RID7)>
<T1, O2, operation-begin>
<T1, Z, 45, 70>
 T1 Rollback begins here
<T1, Z, 45>  redo-only log record during physical undo (of incomplete O2)
<T1, Y, .., ..>  Normal redo records for logical undo of O1
…
<T1, O1, operation-abort>  What if crash occurred immediately after this?
<T1, abort>

Slide No.L5-10

Advanced Recovery: Crash Recovery
The following actions are taken when recovering from
system crash
1. (Redo phase): Scan log forward from last < checkpoint L>
record till end of log
1. Repeat history by physically redoing all updates of all
transactions,
2. Create an undo-list during the scan as follows
• undo-list is set to L initially
• Whenever <Ti start> is found Ti is added to undo-list
• Whenever <Ti commit> or <Ti abort> is found, Ti is
deleted from undo-list
This brings database to state as of crash, with committed
as well as uncommitted transactions having been redone.
Now undo-list contains transactions that are incomplete,
that is, have neither committed nor been fully rolled back.
Slide No.L6-1

Advanced Recovery: Crash Recovery (Cont.)

Recovery from system crash (cont.)
2. (Undo phase): Scan log backwards, performing
undo on log records of transactions found in undo-
list.
– Log records of transactions being rolled back are
processed as described earlier, as they are found
• Single shared scan for all transactions being undone
– When <Ti start> is found for a transaction Ti in
undo-list, write a <Ti abort> log record.
– Stop scan when <Ti start> records have been
found for all Ti in undo-list
• This undoes the effects of incomplete transactions
(those with neither commit nor abort log records).
Recovery is now complete.
Slide No.L6-2

Advanced Recovery: Checkpointing
• Checkpointing is done as follows:
1. Output all log records in memory to stable storage
2. Output to disk all modified buffer blocks
3. Output to log on stable storage a < checkpoint L>
record.
Transactions are not allowed to perform any actions
while checkpointing is in progress.
• Fuzzy checkpointing allows transactions to progress
while the most time consuming parts of checkpointing
are in progress
– Performed as described on next slide

Slide No.L6-3

Advanced Recovery: Fuzzy Checkpointing

• Fuzzy checkpointing is done as follows:
1. Temporarily stop all updates by transactions
2. Write a <checkpoint L> log record and force log to
stable storage
3. Note list M of modified buffer blocks
4. Now permit transactions to proceed with their
actions
5. Output to disk all modified buffer blocks in list M
blocks should not be updated while being output
Follow WAL: all log records pertaining to a block
must be output before the block is output
1. Store a pointer to the checkpoint record in a fixed
position last_checkpoint on disk ……
<checkpoint L>
…..
<checkpoint L>
last_checkpoint
…..

Slide No.L6-4 Log

Advanced Rec: Fuzzy Checkpointing (Cont.)

• When recovering using a fuzzy checkpoint, start scan
from the checkpoint record pointed to by
last_checkpoint
– Log records before last_checkpoint have their
updates reflected in database on disk, and need not
be redone.
– Incomplete checkpoints, where system had crashed
while performing checkpoint, are handled safely

Slide No.L6-5

ARIES
• ARIES is a state of the art recovery method
– Incorporates numerous optimizations to reduce
overheads during normal processing and to speed up
recovery
– The “advanced recovery algorithm” we studied earlier is
modeled after ARIES, but greatly simplified by removing
optimizations
• Unlike the advanced recovery algorithm, ARIES
1. Uses log sequence number (LSN) to identify log records
• Stores LSNs in pages to identify what updates have
already been applied to a database page
1. Physiological redo
2. Dirty page table to avoid unnecessary redos during
recovery
3. Fuzzy checkpointing that only records information about
dirty pages, and does not require dirty pages to be written
out at checkpoint time
• More coming up on each of the above …
Slide No.L7-1

ARIES Optimizations

• Physiological redo
– Affected page is physically identified, action within
page can be logical
• Used to reduce logging overheads
– e.g. when a record is deleted and all other records have
to be moved to fill hole
» Physiological redo can log just the record deletion
» Physical redo would require logging of old and new
values for much of the page
• Requires page to be output to disk atomically
– Easy to achieve with hardware RAID, also supported by
some disk systems
– Incomplete page output can be detected by checksum
techniques,
» But extra actions are required for recovery
» Treated as a media failure

Slide No.L7-2

ARIES Data Structures

• ARIES uses several data structures
– Log sequence number (LSN) identifies each log
record
• Must be sequentially increasing
• Typically an offset from beginning of log file to allow fast
access
– Easily extended to handle multiple log files
– Page LSN
– Log records of several different types
– Dirty page table

Slide No.L7-3

ARIES Data Structures: Page LSN
• Each page contains a PageLSN which is the LSN of the
last log record whose effects are reflected on the page
– To update a page:
• X-latch the page, and write the log record
• Update the page
• Record the LSN of the log record in PageLSN
• Unlock page
– To flush page to disk, must first S-latch page
• Thus page state on disk is operation consistent
– Required to support physiological redo
– PageLSN is used during recovery to prevent repeated
redo
• Thus ensuring idempotence

Slide No.L7-4

ARIES Data Structures: Log Record
• Each log record contains LSN of previous log record of the
same transaction

LSN TransID PrevLSN RedoInfo UndoInfo
– LSN in log record may be implicit
• Special redo-only log record called compensation log
record (CLR) used to log actions taken during recovery
that never need to be undone
– Serves the role of operation-abort log records used in
advanced recovery algorithm
– Has a field UndoNextLSN to note next (earlier) record to
be undone LSN TransID UndoNextLSN RedoInfo
• Records in between would have already been undone
• Required to avoid repeated undo of already undone
actions 1 2 3 4 4' 3'
2' 1'

Slide No.L7-5

ARIES Data Structures: DirtyPage Table
• DirtyPageTable
– List of pages in the buffer that have been updated
– Contains, for each such page
• PageLSN of the page
• RecLSN is an LSN such that log records before this LSN
have already been applied to the page version on disk
– Set to current end of log when a page is inserted into
dirty page table (just before being updated)
– Recorded in checkpoints, helps to minimize redo work
Page LSNs
on disk
P1 P6 P23
Page PLSN RLSN
25 16 19
P1 16 P1 25 17
…
P6 16 15
P6 12
.. P23 19 18
P15
P15 9
.. 9
Buffer Pool DirtyPage Table
P23 11

Slide No.L7-6

ARIES Data Structures: Checkpoint Log
• Checkpoint log record
– Contains:
• DirtyPageTable and list of active transactions
• For each active transaction, LastLSN, the LSN of the last log
record written by the transaction
– Fixed position on disk notes LSN of last completed
checkpoint log record
• Dirty pages are not written out at checkpoint time
• Instead, they are flushed out continuously, in the
background
• Checkpoint is thus very low overhead
– can be done frequently

Slide No.L7-8

ARIES Recovery Algorithm
ARIES recovery involves three passes
• Analysis pass: Determines
– Which transactions to undo
– Which pages were dirty (disk version not up to
date) at time of crash
– RedoLSN: LSN from which redo should start
• Redo pass:
– Repeats history, redoing all actions from RedoLSN
• RecLSN and PageLSNs are used to avoid redoing actions
already reflected on page
• Undo pass:
– Rolls back all incomplete transactions
• Transactions whose abort was complete earlier are not
undone
– Key idea: no need to undo these transactions: earlier
undo actions were logged, and are redone as required
Slide No.L7-9

Remote Backup Systems

• Remote backup systems provide high availability by
allowing transaction processing to continue even if the
primary site is destroyed.

Slide No.L8-1

Remote Backup Systems (Cont.)
• Detection of failure: Backup site must detect when
primary site has failed
– to distinguish primary site failure from link failure
maintain several communication links between the
primary and the remote backup.
– Heart-beat messages
• Transfer of control:
– To take over control backup site first perform recovery
using its copy of the database and all the long records
it has received from the primary.
• Thus, completed transactions are redone and
incomplete transactions are rolled back.
– When the backup site takes over processing it becomes
the new primary
– To transfer control back to old primary when it
recovers, old primary must receive redo logs from the
old backup and apply all updates locally.
Slide No.L8-2

• Time to recover: To reduce delay in takeover,
backup site periodically proceses the redo log records
(in effect, performing recovery from previous
database state), performs a checkpoint, and can then
delete earlier parts of the log.
• Hot-Spare configuration permits very fast takeover:
– Backup continually processes redo log record as
they arrive, applying the updates locally.
– When failure of the primary is detected the
backup rolls back incomplete transactions, and is
ready to process new transactions.
• Alternative to remote backup: distributed database
with replicated data
– Remote backup is faster and cheaper, but less
tolerant to failure
• more on this in Chapter 19
Slide No.L8-3

• Ensure durability of updates by delaying transaction
commit until update is logged at backup; avoid this
delay by permitting lower degrees of durability.
• One-safe: commit as soon as transaction’s commit log
record is written at primary
– Problem: updates may not arrive at backup before it
takes over.
• Two-very-safe: commit when transaction’s commit log
record is written at primary and backup
– Reduces availability since transactions cannot
commit if either site fails.
• Two-safe: proceed as in two-very-safe if both primary
and backup are active. If only the primary is active, the
transaction commits as soon as is commit log record is
written at the primary.
– Better availability than two-very-safe; avoids
problem of lost transactions in one-safe.
Slide No.L8-4

Unit 07 dbms

More Related Content

What's hot (20)

Viewers also liked (20)

Similar to Unit 07 dbms (20)

More from anuragmbst (12)

Recently uploaded (20)

Unit 07 dbms