COMP 430 Intro. to Database Systems Transactions, concurrency, & ACID.

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Presentation transcript:

COMP 430 Intro. to Database Systems Transactions, concurrency, & ACID

Motivating transactions /* Transfer $100 from one account to another */ UPDATE Account SET balance = balance – 100 WHERE id = 1234; UPDATE Account SET balance = balance WHERE id = 5678; Both parties unhappy, since money transfer incomplete.

Motivating transactions /* Transfer $100 from one account to another */ UPDATE Account SET balance = balance – 100 WHERE id = 1234; UPDATE Account SET balance = balance WHERE id = 5678; Want transfer to execute as a single all-or-nothing transaction.

Motivating transactions with concurrency /* Transfer $100 from one account to another */ UPDATE Account SET balance = balance – 100 WHERE id = 1234; UPDATE Account SET balance = balance WHERE id = 5678; /* Get paid interest */ UPDATE Account SET balance = balance * 1.02;

Timelines for account updates John += 100 Mary -= 100John *= 1.02 Mary *= 1.02 John = 100 Mary = 200John = 204 Mary = 102 John += 100 Mary -= 100 John *= 1.02 Mary *= 1.02 John = 100 Mary = 200John = 202 Mary = 104 Time Both allowed.

Timelines for account updates John += 100 Mary -= 100John *= 1.02 Mary *= 1.02 John = 100 Mary = 200John = 204 Mary = 102 John += 100 Mary -= 100 John *= 1.02 Mary *= 1.02 John = 100 Mary = 200John = 202 Mary = 104 Time John += 100 Mary -= 100 John *= 1.02 Mary *= 1.02 John = 100 Mary = 200John = 204 Mary = 102 Also allowed because it corresponds to one of the serial orders – serializable.

Timelines for account updates John += 100 Mary -= 100John *= 1.02 Mary *= 1.02 John = 100 Mary = 200John = 204 Mary = 102 John += 100 Mary -= 100 John *= 1.02 Mary *= 1.02 John = 100 Mary = 200John = 202 Mary = 104 Time John += 100 Mary -= 100 John = 100 Mary = 200John = 204 Mary = 104 Not allowed because it doesn’t correspond to one of the serial orders – not serializable. John *= 1.02 Mary *= 1.02

Motivations transactions with errors If there’s an error, may want to abort transaction’s changes. Rollback to state before transaction. Somewhat expected “errors”: Negative balance Bad user input Unexpected errors: SQL statement returns error code – <> 0 Inconsistent data found Not best handled by transaction rollback.

Transaction properties: ACID AtomicAll-or-nothing ConsistentStart & end in consistent state IsolatedSerializable DurableEffects permanent after commit

Transaction syntax BEGIN TRANSACTION transfer; /* Transfer $100 from one account to another */ UPDATE Account SET balance = balance – 100 WHERE id = 1234; UPDATE Account SET balance = balance WHERE id = 5678; COMMIT TRANSACTION transfer; Transact-SQL Can also ROLLBACK a transaction.

Transaction syntax on single statements /* Get paid interest */ UPDATE Account SET balance = balance * 1.02; BEGIN TRANSACTION interest; /* Get paid interest */ UPDATE Account SET balance = balance * 1.02; COMMIT TRANSACTION interest; Advantages: Explicit that want transaction Correct even when auto-commit turned off Adding code to transaction is less error-prone Allows use of other transaction options Advantage: Brief

Understanding some consequences

Why interleave transactions? After all, interleaving can lead to anomalous outcomes. Need to check serializability. Real-time performance: Don’t want fast transactions to wait on slow ones Parallel resources: Don’t block transactions that use different resources – CPU, disk, … See COMP 322, re: read-write conflicts

ACID or not? Want these properties even in the presence of Power failures User aborting / rollbacks – logging Many concurrent users – locks AtomicAll-or-nothing ConsistentStart & end in consistent state IsolatedSerializable DurableEffects permanent after commit But still want quick performance. Some systems relax ACID properties for improve performance.

Logging Basic idea: A list of each data change, written to disk Transaction ID, what was updated, old value, new value Sufficient to undo changes on rollback Handled automatically by DBMS Separate from any user-level logging.

Why do we need logging? Why not update data only at end of transaction? Temporary results stored in memory until transaction done. Transaction could have lots of temporary results. Transaction could take a long time. What if failure occurs during this end-of-transaction write?

Locking Standard approach to reserve exclusive access to a variable or other resource. Steps done by DBMS: 1.Acquire a lock 2.Use the resource 3.Release the lock Much more info in COMP 322, COMP 421.

What should you do? Don’t unnecessarily use transactions. Don’t unnecessarily make transactions too big. Large transactions harder to schedule. Possibly break single operations on large amounts of data into separate transactions. One motivation for cursors – a transaction per record instead of per table