LSN (Log Sequence Number) unique id for each log record. Type. type of ... LSN of the previous log record written by the same. transaction that wrote the record ... – PowerPoint PPT presentation
1 CS 632 Lecture 6 Recovery Principles of Transaction-Oriented Database Recovery Theo Haerder, Andreas Reuter, 1983 ARIES A Transaction Recovery Method Supporting Fine-Granularity Locking and Partial Rollbacks Using Write-Ahead Logging C. Mohan, Don Haderle, Bruce Lindsay, Hamid Piralesh, and Peter Schwartz, 1992 2 Principles of Transaction-Oriented Database Recovery
DATABASE RECOVERY WHAT IT IS EXPECTED TO DO
What Is a Transaction
Which Failures Have To Be Anticipated
Summary of Recovery Actions
THE MAPPING HIERARCHY OF A DBMS
The Mapping Process
The Storage Hierarchy
Different Views of a Database
Mapping Concepts for Updates
CRASH RECOVERY
Dependencies Between Buffer Management and Recovery Component
Classification of Log Data
Checkpoints
ARCHIVE RECOVERY
3
What is a transaction?
actions executed indivisibly
four properties required (the ACID properties)
Atomicity
all actions in the transaction happen, or none happen
Consistency
if a transaction preserves the consistency of the DB
Isolation
execution of one transaction is isolated from that of other transactions
Durability
if a transaction commits, its effects persist
4 Which Failures Have to Be Anticipated?
Transaction Failures
caused by bad input or other violations of consistency
System Failures
caused by
bugs in the DBMS code
operating system fault
hardware failure
occur less frequently
Media Failures
caused by
software errors
hardware errors
physical errors
5 Summary of Recovery Actions
Transaction Undo
when a transaction aborts itself
Global Undo
when recovering from a system failure
incomplete transactions
Partial Redo
when recovering from a system failure
complete transactions
Global Redo
archive recovery
full redundancy
6 (No Transcript) 7 (No Transcript) 8 Different Views of a Database
Current database
the contents are found on disk or in the DB buffer
Materialized database
the state that the DBMS finds at restart after a crash
Physical database
all blocks of the on-line copy
Three types of update operations
modification of page contents affects the current database
write affects the physical database
propagation affects the materialized database
9 Mapping Concepts for Updates Two schemes for propagation
Two types of propagation strategies
ATOMIC
NOT ATOMIC
10 Dependencies Between Buffer Management and Recovery Component
UNDO Recovery Actions
STEAL undo actions necessary
NO STEAL undo actions not necessary
REDO Recovery Actions
FORCE redo actions not necessary
NO FORCE redo actions necessary
Partial REDO no logging necessary
Global REDO logging necessary
11 Classification of Log Data
Physical State Logging on Page Level
before image after image
Physical Transition Logging on Page Level
differences between old and new states
Physical State Logging on Access Path Level
Physical/Logical Transition Logging on the Access Path
Logical Logging on the Record-Oriented Level
12 Checkpoints
limit the amount of REDO recovery required after a crash
involve three steps
write a BEGIN_CHECKPOINT record
write all checkpoint data
write an END_CHECKPOINT record
types
Transaction-Oriented Checkpoints
Transaction-Consistent Checkpoints
Action-Consistent Checkpoints
Fuzzy Checkpoints
13 (No Transcript) 14 Conclusion
taxonomy for classifying the implementation techniques for
database recovery
four criteria
Propagation
ATOMIC/ NOT ATOMIC
Buffer Handling
STEAL / NO STEAL
EOT Processing
FORCE / NO FORCE
Checkpointing
15 (No Transcript) 16 ARIES A Transaction Recovery Method Supporting Fine-Granularity Locking and Partial Rollbacks Using Write-Ahead Logging ARIES Algorithm for Recovery and Isolation Exploiting Semantics 17 Goals
Simplicity
Operation logging
Flexible storage management
Partial rollbacks
Flexible buffer management
Recovery Independence
Logical undo
Parallelism and fast recovery
Minimal overhead
18 Normal Processing
Updates
Total or Partial Rollbacks
savepoints
Transaction Termination
Checkpoints
fuzzy checkpoints
Restart Processing
Analysis Pass
Redo Pass
Undo Pass
19 (No Transcript) 20 Log Records
LSN (Log Sequence Number)
unique id for each log record
Type
type of record
TransId
id of transaction that wrote the record
PrevLSN
LSN of the previous log record written by the same
transaction that wrote the record
PageID
id of the page referred by the log
UndoNextLSN
present in CLR
Data
redo/undo data describing the update
21 Page Structure
page_LSN the LSN of the log record describing the latest
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