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CSCI 3140 Module 8 – Database Recovery Theodore Chiasson Dalhousie University.

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Presentation on theme: "CSCI 3140 Module 8 – Database Recovery Theodore Chiasson Dalhousie University."— Presentation transcript:

1 CSCI 3140 Module 8 – Database Recovery Theodore Chiasson Dalhousie University

2 Recovery Database Recovery –The process of restoring the database to a correct state in the event of a failure Types of storage –Main memory Primary storage Extremely fast Volatile –Disk Secondary storage Online, random access Fast Non-volatile –Tape Off-line, sequential Stable –Optical drive Stable Random access

3 Recovery Transactions and Recovery –Transactions represent the basic unit of work in a database –Recovery manager ensures two of the four ACID properties Atomicity Durability –To implement a read operation, the DBMS must Find the address of the disk block that contains the record with primary key x Transfer the disk block into a database buffer in main memory Copy the value stored in the database buffer into a local variable –To implement a write operation, the DBMS must Find the address of the disk block that contains the record with primary key x Transfer the disk block into a database buffer in main memory Copy the value stored in a local variable into the database buffer Write the database buffer back to disk

4 Recovery Transactions and Recovery –Buffers in main memory are volatile –Buffers must be flushed to disk before changes become permanent –Buffers can be flushed because the buffers are full, or a force-write can be issue to ensure that a buffer is flushed immediately If a failure occurs after writing to the buffer but before the buffer has been flushed, the recovery manager must check the status of the transaction –If the transaction was committed, the recovery manager uses REDO to rollforward –If the transaction was not committed, the recovery manager uses UNDO to rollback.

5 Recovery Buffer management –Replacement strategy First-in-first-out (FIFO) Least-recently-used (LRU) –Two variables assigned to each database buffer pinCount –How many transactions are using this buffer dirty –Set if a transaction has changed a value –Indicates that the buffer will have to be written back to disk

6 Recovery When a page is requested, buffer manager checks if it is already in a database buffer. If not, it will (1)Use a replacement strategy to choose a replacement buffer (cannot be pinned). Set the replacement buffer’s pinCount to 1. (2)If dirty is set to 1 in replacement buffer, it must be flushed to disk before loading the requested page (3)Load the requested page into the replacement buffer, set dirty to 0. -If a page is requested that is already pinned in memory, the pinCount for the buffer is incremented. -When a transaction is finished with a buffer, it decrements the pinCount -If the pinCount reaches zero, the buffer is unpinned (available for replacement)

7 Recovery Steal policy –Allows the buffer manager to write a buffer to disk before the transaction has committed No-steal policy –Must wait until the buffer is unpinned before choosing it for replacement Force policy –Pages are flushed to disk before the transaction commits No-force policy –The commit can occur even though the buffers have not been flushed to disk Simplest implementation is for force, no-steal –Requires large pool of buffers Most DBMS implementations use steal, no-force –Requires the recovery manager to us REDO/UNDO to restore consistent state after a failure

8 Recovery A DBMS should provide the following facilities to assist with recovery: –A backup mechanism Need to allow backup copies of the database and the log files without necessarily having to stop the system first Backup is typically offline storage, such as magnetic tape –Logging facilities Log file is used to keep track of database transactions Also called a journal –A checkpoint facility Provides a stable, consistent starting point for the recovery manager –A recovery manager Responsible for restoring the database to a consistent state in the event of a failure

9 Recovery Log file has –Transaction records: Log file is used to keep track of database transactions Also called a journal Transaction records: –Transaction ID –Type of log record (start, insert, update, delete, abort, commit) –Id of data item affected by action (insert, delete, update operations) –Before-image of the data item (for update and delete operations) –After-image of the data item (insert and update only) –Log management information (e.g., pointers to previous and next log entries for this transaction) –Checkpoint records: Represent a synchronization point between the database and the log file Contains a list of all the transactions that were active when the checkpoint occurred On recovery, recover from the most recent checkpoint –Checkpointing involves force-writing all logs and dirty buffers to disk –Can undo transaction that were active at the time of checkpointing, and redo all transactions that committed since the checkpoint occurred

10 Recovery If the database is severely damaged (disk crash), must recover from backup –Log file should be on a different disk if possible If database is corrupted due to a failure while transactions are active, recover from log file –Use before-images to UNDO transactions that did not commit, use after-images to REDO transactions that did commit since the last checkpoint Deferred update –Perform updates after commit No action on aborts, use REDO on recovery Immediate update –Change database buffers immediately Requires use of UNDO for aborts and both REDO and UNDO for recovery Shadow paging –Alternative to log files

11 Recovery Deferred update –Updates are not written to the database until the commit point –Possible that updates didn’t make it to the database even though transaction was committed –Log file is used to ensure recovery is possible Write a transaction start record when the transaction starts For every write operation, add a log entry with the after-image –Do not change the database buffers or the database itself yet When a transaction is about to commit, write a transaction commit log entry, write all of the transaction’s log entries to disk, then commit by using the log entries to update the database If a transaction aborts, ignore the log entries for the transaction and do not perform writes –In event of a failure, go back to most recent checkpoint and: Any transaction with a start transaction and a transaction commit entry in the log must be redone REDO writes the after-images in the transaction log to the database in the order in which they appear in the log Any transaction with a start transaction and an abort transaction entry in the log can be safely ignored, since no writes were performed by these transactions

12 Recovery Immediate update –Updates are written to the database as they occur –Possible that updates didn’t make it to the database even though transaction was committed –Also possible that updates made it to the database even though the transaction did not complete –Log file is used to ensure recovery is possible Write a transaction start record when the transaction starts When a write operation occurs, store the before-image and after-image in the log file Once the log file is written, write the changes to the database buffers Updates to the database are written when the database buffers are flushed to the disk When a transaction commits, write a transaction commit record to the log If a transaction aborts, the log file is used to UNDO the writes it performed in reverse order –Write-ahead log protocol Log record is written BEFORE the buffers are updated –In event of a failure, go back to most recent checkpoint and: Any transaction with a start transaction and a transaction commit entry in the log must be redone REDO writes the after-images in the transaction log to the database in the order in which they appear in the log Any transaction with a start transaction and no commit transaction entry in the log must be undone by writing the before images of to the database in the reverse order in which they were performed

13 Recovery Shadow paging –Two pages are kept in memory for each database buffer –Changes are made to one of the pages – the other page (shadow page) is not altered –The shadow page contains the before-image of the data values –When a transaction commits, the changed page becomes the shadow page –Eliminates the need for the log file –Additional overhead in terms of memory fragmentation, garbage collection


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