220 likes | 393 Views
Concurrency Control I. Concurrency Control. T1 T2 … Tn. DB (consistency constraints). Enforce Conflict Serializable Schedules. P revent cycles in precedence graph from occurring T 1 T 2 ….. T n. Scheduler. DB. A locking protocol.
E N D
Concurrency Control I Yan Huang - CSCI5330 Database Implementation –Concurrency Control
Concurrency Control T1 T2 … Tn DB (consistency constraints) Yan Huang - CSCI5330 Database Implementation –Concurrency Control
Enforce Conflict Serializable Schedules Prevent cycles in precedence graph from occurring T1 T2 ….. Tn Scheduler DB Yan Huang - CSCI5330 Database Implementation –Concurrency Control
A locking protocol • For transaction i • Use li to lock an item • Use ui to unlock the lock enforced by transaction i T1 T2 lock table scheduler Yan Huang - CSCI5330 Database Implementation –Concurrency Control
Well behaved transactions Ti: … li(A) … pi(A) … ui(A) ... Yan Huang - CSCI5330 Database Implementation –Concurrency Control
T1:l1(A); read (A); u1(A); l1(B); read (B); u1(B); display(A+B) Sufficient to guarantee serializability ? Example of a transaction performing locking Yan Huang - CSCI5330 Database Implementation –Concurrency Control
Example: T2: Read(A) T3: Read(A) A A+100 A A2 Write(A) Write(A) Read(B) Read(B) B B+100 B B2 Write(B) Write(B) Constraint: A=B Yan Huang - CSCI5330 Database Implementation –Concurrency Control
Schedule A A B T2 T3 25 25 l1(A);Read(A) A A+100;Write(A);u1(A) 125 l2(A);Read(A) A Ax2;Write(A);u2(A) 250 l2(B);Read(B) B Bx2;Write(B);u2(B) 50 l1(B);Read(B) B B+100;Write(B);u1(B) 150 250 150 Yan Huang - CSCI5330 Database Implementation –Concurrency Control
Phase 1: Growing Phase transaction may obtain locks transaction may not release locks Phase 2: Shrinking Phase transaction may release locks transaction may not obtain locks Two-Phase Locking Protocol Yan Huang - CSCI5330 Database Implementation –Concurrency Control
Ti = ……. li(A) ………... ui(A) ……... no unlocks no locks Yan Huang - CSCI5330 Database Implementation –Concurrency Control
# locks held by Ti Time Growing Shrinking Phase Phase Yan Huang - CSCI5330 Database Implementation –Concurrency Control
What happens to a transaction which tries to lock an item but failed? Yan Huang - CSCI5330 Database Implementation –Concurrency Control
Schedule B T2 T3 l1(A);Read(A) A A+100;Write(A) l1(B); u1(A) l2(A);Read(A) A Ax2;Write(A); l2(B) Read(B);B B+100 Write(B); u1(B) l2(B); u2(A);Read(B) B Bx2;Write(B);u2(B); delayed Yan Huang - CSCI5330 Database Implementation –Concurrency Control
2PL conflict-serializable schedules? To help in proof: Definition Shrink(Ti) = SH(Ti) = first unlock action of Ti Yan Huang - CSCI5330 Database Implementation –Concurrency Control
First: Ti Tj in S SH(Ti) <S SH(Tj) Proof: Ti Tj means that S = … pi(A) … ui(A) … lj(A) ... qj(A) … Yan Huang - CSCI5330 Database Implementation –Concurrency Control
Then: (1) Assume P(S) has cycle T1 T2 …. Tn T1 (2) By lemma: SH(T1) <SH(T2) < ... <SH(T1) (3) Impossible, so P(S) acyclic (4) S is conflict serializable Yan Huang - CSCI5330 Database Implementation –Concurrency Control
To handle a deadlock one of T4 or T5 must be rolled back and its locks released. Deadlock T4 T5 l3(B) read(B) write(B) l4(A) read(A) l4(B) l3(A) Yan Huang - CSCI5330 Database Implementation –Concurrency Control
A transaction does not get its turn for a long time Example: A transaction may be waiting for a lock on an item, while a sequence of other transactions request and are granted an lock on the same item. The same transaction is repeatedly rolled back due to deadlocks. Concurrency control manager can be designed to prevent starvation. Starvation Yan Huang - CSCI5330 Database Implementation –Concurrency Control
Are schedules from 2PL transactions deadlock free? 2PL and Deadlock Yan Huang - CSCI5330 Database Implementation –Concurrency Control
2PL and Possible Schedules • Does 2PL allow all possible conflict serializable schedules? Yan Huang - CSCI5330 Database Implementation –Concurrency Control
Beyond this simple 2PL protocol, it is all a matter of improving performance and allowing more concurrency…. • Shared locks • Multiple granularity • Inserts, deletes and phantoms • Other types of C.C. mechanisms Yan Huang - CSCI5330 Database Implementation –Concurrency Control