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Transaction-Oriented Database Recovery. Application Programmer (e.g., business analyst, Data architect) Sophisticated Application Programmer (e.g., SAP.

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Presentation on theme: "Transaction-Oriented Database Recovery. Application Programmer (e.g., business analyst, Data architect) Sophisticated Application Programmer (e.g., SAP."— Presentation transcript:

1 Transaction-Oriented Database Recovery

2 Application Programmer (e.g., business analyst, Data architect) Sophisticated Application Programmer (e.g., SAP admin) DBA, Tuner Hardware [Processor(s), Disk(s), Memory] Operating System Concurrency ControlRecovery Storage Subsystem Indexes Query Processor Application

3 Outline Principles of transaction-oriented database recovery Recovery tuning

4 Transaction-Oriented Database Recovery Transaction properties –A: Atomicity –C: Consistency –I: Isolation –D: Duration A database is transaction or logically consistent iff it contains the results of successful transactions

5 Failures To Recover From Transaction failure –Self- or system-abort –To recover within time for normal transaction –10-100 times per min. System failure –OS or DBMS crash –To recover in same amount of time as required for all interrupted transactions –A few times per week Media failure –Disk crash –To recover in hours –A few times per year

6 Recovery Actions Transaction UNDO – roll-back a specific active trans Global UNDO – roll-back all active trans Partial REDO – re-instate some committed trans Global REDO – re-instate all committed trans Failure Type Recovery Action Transaction System Media Transaction UNDO Global UNDO, Partial REDO Global REDO

7 Log for UNDO/REDO Logical logging – operators & their arguments –Requires atomic actions from physical layer –Not always possible/justifiable Physical state logging –Before and/or after image Physical transition logging –Use XOR: commutative and associative –Log XOR before image  after image –Log XOR after image  before image –Lower space consumption (1 entry/change; compress long strings of 0s – small number of changes)

8 System Framework Source: T. Haerder, A. Reuter

9 Log Timing UNDO entries must reach log file before changes are written out – Write-Ahead Logging (WAL) principle –To enable roll-back if necessary REDO entries must reach log file before End-Of- Transaction (EOT) is acknowledged –To enable re-instatement after failure

10 Dependency with Buffer Management UNDO STEAL: Modified pages may be written anytime ~STEAL: Modified pages kept in buffer till after transaction commits –Large buffers required –No global UNDO –Transaction UNDO within memory –No logging required for UNDO REDO FORCE: All modified pages written during EOT –No need to log for partial REDO –Need logging for global REDO ~FORCE: No propagation during EOT At least one of global UNDO or partial REDO is always required. Why?

11 Checkpointing to Optimize Recovery Problem –With LRU buffer replacement, frequently used pages will remain in buffer –Partial REDO has to go back very far Checkpointing limits amount of partial REDO Checkpoint –Write BEGIN-CHECKPOINT to temporary log –Write checkpoint data to log –Write END-CHECKPOINT to temporary log

12 Crash Recovery with Checkpoint T1 T2 T3 T4 T5 Checkpoint Oldest Page In Buffer Crash Analyze UNDO REDO Nothing REDO UNDO Recovery Process

13 Transaction-Oriented Checkpoint (TOC) FORCE  TOC EOT  (BEGIN- CHECKPOINT, END- CHECKPOINT) Frequently used pages need to be written out each time a transaction commits Not suitable for large applications Source: T. Haerder, A. Reuter

14 Transaction-Consistent Checkpoint (TCC) Source: T. Haerder, A. Reuter

15 Transaction-Consistent Checkpoint (TCC) When checkpoint generation is triggered –All new update transactions are put on hold –All incomplete update transactions are completed –Write out all modified pages Both REDO and UNDO are bounded –REDO starts from latest checkpoint –UNDO back to latest checkpoint Drawback –Delay new update transactions; not suitable for large multi-user DBMS –High checkpointing costs

16 Action-Consistent Checkpoint (ACC) Source: T. Haerder, A. Reuter

17 Action-Consistent Checkpoint (ACC) When checkpoint generation is triggered –All new actions are put on hold –All incomplete actions are completed –Write out all modified pages Less disruptive than TCC Partial REDO only from the most recent checkpoint Global UNDO not bounded Still costly when buffers are large

18 Fuzzy ACC During checkpointing, the numbers of all dirty pages in buffer are written to the log If a modified page is found in the previous checkpoint, and since then has not been written out, write it out now Partial REDO from penultimate checkpoint

19 Archive Recovery Make sure the two paths are independent!! Source: T. Haerder, A. Reuter

20 Multi-Generation Archive Copies Archive copies are accessed very infrequently Subject to magnetic decay Keep several generations Source: T. Haerder, A. Reuter

21 Duplicate Archive Logs Source: T. Haerder, A. Reuter

22 Duplicate Archive Logs Archive log must extend back to the oldest archive copy Log susceptible to magnetic decay as well Duplicate archive log Need to synchronize both archive logs with temporary log at EOT Very expensive!

23 Decouple Archive Logs from EOT Source: T. Haerder, A. Reuter

24 Decouple Archive Logs from EOT Log entries written only to temporary log during EOT Asynchronous process copies REDO entries to archive log Need to replicate temporary log Synchronize both temporary logs at EOT

25 Summary Crash recovery –TOC: Per transaction –TCC: Transaction boundary –ACC: Action boundary Archive recovery –Multi-generation archive copy –Duplicate archive logs –Decouple archive log from EOT Failure Type Recovery Action Transaction System Media Transaction UNDO Global UNDO, Partial REDO Global REDO Failure types


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