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Transactions or Concurrency Control

Transactions or Concurrency Control. Introduction. A program which operates on a DB performs 2 kinds of operations: Access to the Database (Read/Write) Memory operations. sailors. Reserves. Main Memory. DISK. Read + Memory operations. Read operation. Read operation. Memory operations.

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Transactions or Concurrency Control

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  1. TransactionsorConcurrency Control

  2. Introduction • A program which operates on a DB performs 2 kinds of operations: • Access to the Database (Read/Write) • Memory operations sailors Reserves Main Memory DISK

  3. Read + Memory operations Read operation Read operation Memory operations

  4. Introduction • When dealing with concurrency control, we are only interested in operations on the DB: Read or Write • So, we deal with “Abstractions” of programs • An “Abstraction” of a program is a series of operations the program performs on a DB • We also call this a Transaction (or sometimes, a Program)

  5. Example Transaction 1 Transaction 1 Read(C) Read(A) Write(A) Read(B) Write(B) Write(C) R1(C) R1(A) W1(A) R1(B) W1(B) W1(C) operations= Read(A),… or Items=A, B, C

  6. Definitions • Schedule: The order of execution of operations of 2 or more transactions. Schedule S1 Transaction1 Transaction2 R(A) R(C) W(A) R(B) W(C) R(B) W(B) W(B) Time

  7. When a single Transaction is run, there is no Concurrency Control problem • When there are more, problems might occur • Example: 2 programs, each adding 100$ to an account A

  8. Example: 2 programs, each adding 100$ to an account A • If they are run one after the other: Transaction 1 Transaction 2 R(A) W(A) R(A) W(A) Time No problem!

  9. Example: 2 programs, each adding 100$ to an account A • If they are run in parallel: Transaction 1 Transaction 2 R(A) W(A) R(A) W(A) Time Problem! Why?

  10. Definitions • Serial Schedule: A schedule in which the transactions are performed one after the other in a serial manner. Read(A) Write(A) Read(B) Write(B) Read(C)Write(C)Read(B) Write(B)

  11. Schedules • A schedule is “correct” if it gives the same result as a serial schedule for any calculation. • Examples: Read(A) Read(A) Write(A) Write(A) Read(B) Write(B) Read(B) Write(B) Read(A) Read(A) Write(A) Write(A) Read(B) Write(B) Read(B) Write(B) Read(A) Write(A) Read(A) Write(A) Read(B) Write(B) Read(B) Write(B)

  12. Schedules • Example for a “correct” schedule: Read(A) Write(A) Read(A) Write(A) Read(B) Write(B) Read(B) Write(B) Read(A) Write(A) Read(B) Write(B) Read(A) Write(A) Read(B) Write(B) And this will never cause an interleaving problem Will always give the same result as

  13. We would thus like to know when 2 schedules are equivalent • Equivalent: Will give the same result for any input • How do you check for equivalence? • Naïve approach: Check the output for all inputs • This is clearly impossible • So, we need a simple set of rules to tell us if 2 schedules are equivalent

  14. Schedules are View Equivalent if: • They consist of the same transactions. • If Tk reads an initial value for A in S1, then Tk will also read an initial value for A in S2 (“initial”=A has not been written to yet). • If Tk reads a value of A written by Ti in S1, then Tk will also read a value of A written by Ti in S2. • If Ti writes a final value for A in S1, then Ti writes a final value for A in S2. What are the violations of the following schedules to view-equivalence? T1 T2 T3 T1 T2 T3 R1(A) W1(A) R1(C) W1(C) R2(C) W2(C) R2(B) W2(B) R3(C) W3(C) R1(A) R2(C) W2(C) W1(A) R1(C) W1(C) R3(C) W3(C) R2(B) W2(B) Schedule S1 Schedule S2

  15. Are these schedules View-Equivalent? Schedule S1 Schedule S2 T1 T2 T3 T1 T2 T3 R1(A) R2(C) W2(C) W1(A) R1(C) W1(C) R3(C) W3(C) R2(B) W2(B) R1(A) R2(C) W2(C) W1(A) R1(C) W1(C) R2(B) W2(B) W3(C) R3(C)

  16. Are these schedules View-Equivalent? Schedule S1 Schedule S2 T1 T2 T3 T1 T2 T3 R2(C) W2(C) R1(A) W1(A) R1(C) W1(C) W3(C) R3(C) R2(B) W2(B) R1(A) R2(C) W2(C) W1(A) R1(C) W1(C) R2(B) W2(B) W3(C) R3(C)

  17. Are these schedules View-Equivalent? Schedule S1 Schedule S2 T1 T2 T3 T1 T2 T3 R1(A) R2(C) W2(C) W1(A) R1(C) W1(C) R3(C) W3(C) R2(B) W2(B) R1(A) R2(C) W2(C) W1(A) R2(B) W2(B) R3(C) R1(C) W1(C) W3(C)

  18. Are these schedules View-Equivalent? Schedule S1 Schedule S2 T1 T2 T3 T1 T2 T3 R1(A) R2(C) W2(C) W1(A) R1(C) W1(C) R3(C) W3(C) R2(B) W2(B) R1(A) R2(C) W2(C) W1(A) R1(C) W1(C) R2(B) W2(B) R3(C) W3(C)

  19. View-Equivalence • If 2 schedules are view-equivalent: • The same transactions will read the same values in both schedules • Therefore, they will also write the same values • This is true for any calculation

  20. Definitions • A schedule is View-Serializable if it is View-Equivalent to some Serial schedule. S1 S2 Read(A) Read(C) Write(A) Read(B) Write(C) Write(B) Read(B) Write(B) Read(A) Write(A) Read(B) Write(B) Read(C) Write(C) Read(B) Write(B) Schedule S1 is view-equivalent to a serial schedule (S2), so it is View-Serializable

  21. What is the Serial Schedule that S1 is equivalent to? S2 S1 R(A) W(A) R(C) W(C) R)C( W(B) R(A) R(B) W(B) W(B) R(A) W(A) R(A) R(B) R(C) W(B) W(C) R)C(

  22. What is the Serial Schedule that S1 is equivalent to? S1 R(A) W(A) R(A) R(C) R(C) W(A) W(C) R)A( There is no Serial Schedule that S1 is view equivalent to. In other words, S1 is not View-Serializable

  23. We already said that for any equivalent S1, S2: If Tk reads a value of A written by Ti in S1, then Tk will also read a value of A written by Ti in S2. • In simpler words: If in S1 Read(A) in T1 is “lower” than Write(A) in T2, then this has to hold in S2 too. • And in a picture: • What about Write(A) which is “lower” than Read(A)? And Write(A) which is “lower” than Write(A)? Do these also have to hold in an equivalent schedule? S1 W(B) R(A) W(A) R(A) R(B) R(B) Lower = later

  24. Blind Write: A transaction performs a Blind Write of A if it writes A without reading it before. • Assuming there are no Blind Writes, and S2 is an equivalent serial schedule : • If Tk writes a value of A which was previously read by Ti in S1, then this will happen in S2 too. • If Tk writes a value of A which was previously written by Ti in S1, then this will happen in S2 too. Read(A) Write(A) Read(C)Write(B) Blind Write

  25. We want to show that if Write(B) in Ti is “lower” than Read(B) in Tk then this has to happen in any equivalent serial schedule. • Suppose this is the case: • So, suppose this is the case: R(B) R(B) W(B) R(B) W(B) R(B) S1 S2 R(B) W(B) W(B) R(B) R(B) W(B) R(B) W(B) Blind write! S2 S1

  26. Why is the No Blind Writes demand Necessary? R(B) W(B) R(B) W(B) R(B) W(B) W(B) R(B) Blind write! S1 S2 R(B) W(B) R)B( W(B) R(B) No Blind write R(B) R)B( W(B) R(B) W(B) S1 S2 Bottom line:if there are no blind writes, If Tk writes a value of A which was previously read by Ti in S1, then this will happen in any equivalent serial schedule

  27. This can also be shown for two Write operations in the same way. This leads us to the following definition: • There is a Conflict between 2 operations in different transactions, if at least one of them is a Write, and they are performed on the same item A. • According to what we showed, if there are no blind writes, the direction of the conflict (arrow) has to be kept in any equivalent serial schedule ! • So is there a view-equivalent serial schedule to S1? S1 R(A) W(A) R(A) R(B) R(B) W(B) W(B) R)C( Find the conflicts…

  28. We can now define equivalence between schedules according to their conflicts: • Schedules S1, S2 are Conflict Equivalent if they consist of the same transactions and the conflict arrows have the same directions. S1 S2 R(A) W(A) R(A) R(B) R(B) W(B) W(B) R)C( R(A) W(A) R(A) R(B) R(B) W(B) W(B) R)C( Conflict -Equivalent:

  29. Schedules are Conflict Equivalent if: • They consist of the same transactions. • The conflict arrows have the same directions. • Lemma: Conflict Equivalence => View Equivalence (this is true even if there are Blind Writes!) Proof: We assume S1 and S2 are Conflict Equivalent. We need to prove 1-4 from above. Schedules are View Equivalent if: • They consist of the same transactions. • If Tk reads an initial value for A in S1, then Tk will also read an initial value for A in S2 (initial=A has not been written to). • If Tk reads a value of A written by Ti in S1, then Tk will also read a value of A written by Ti in S2. • If Ti writes a final value for A in S1, then Ti writes a final value for A in S2.

  30. Schedule S1 is Conflict Serializable if it is Conflict-Equivalent to some serial schedule S2. • Conflict Serializable => View Serializable (directly from the Lemma). • The other direction is not necessarily true if there are Blind Writes: T1T2T3 R(A) W(A) W(A) W(A) There is no serial schedule which is conflict-equivalent to s1 S1 T1T2T3 R(A) W(A) W(A) W(A) S2 But S2 is serial and is view- equivalent to S1

  31. T1 T2 Node for each transaction S1 T1 T2 The precedence graph R(A) W(A) R(A) R(B) R(B) W(B) W(B) R)C( Edge from T1 to T2 if there is a conflict between T1 and T2 in which T1 occurs first S1 is conflict-serializable iff its precedence graph doesn’t contain a circular path

  32. Which is conflict-Serializable? W(B) R(A) W(A) R(A) R(B) R(C) W(B) W(C) R)C( W(B) R(A) W(B) R(A) R(B) R(C) W(C) W(C) R)C( R(C) R(A) W(A) W(B) R(A) R(B) W(B) R)C(

  33. Locks • Used in order to allow only serializable schedules. • The principle: before performing a write/read on item A, a transaction asks for a lock on A. • Only after getting the lock from the lock-manager can the transaction perform the read/write. • 2 kinds of locks: • Shared lock: many transactions can hold a shared lock on the same item at the same time. • Exclusive lock: only one transaction can hold an exclusive lock on an item at any given time. • In order to Read, a Shared Lock is needed. • In order to Write, an Exclusive Lock is needed.

  34. T3 T2 T1 2-Phase Locking (2PL) • A protocol (set of rules) which uses locks to ensure only serializable schedules. • The only additional rule: after a transaction has freed a lock it cannot get any new lock. • This means every transaction will perform 2 phases: getting locks, and then releasing locks. • 2PL => conflict serializability At least one end of each arrow is a ‘Write’ R/W(A) R/W(A) R/W(B) R/W(B) R/W(C) R/W(C)

  35. Recovering from crashes • Up until now we ignored the possibility of a crash of a transaction. • To handle such a case we remember Commit and Rollback. • Consider this schedule: Problem: T1 read a value which T2 wrote, and committed. The schedule is called “Not Recoverable” T1 T2 W(B) R(A) W(A) R(A) R(B) R(C) W(B) W(C) R)C( T2 rolls back Notice that this schedule is Conflict Serializable! Crash!! T1 finished so it commits

  36. Recovering from crashes • Solution: Commit only after all transactions which you have read from have committed (assuming your are a transaction). • Even more strict solution: Read an item only after all transactions which write this item have committed • This leads to a new protocol: • Strict 2PL: Same rules as 2PL with the addition that a transaction releases its locks only after it has committed. • Strict 2PL ensures recovering. Why? Good luck!

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