Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete...

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Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems 2009 30 Mar 2012 Presentation @ IDB Lab. Seminar Presented by Jee-bum Park

Transcript of Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete...

Page 1: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

Serializable Isolation for Snapshot Databases

Michael J. Cahill, Uwe Röhm, and Alan D. FeketeUniversity of SydneyACM Transactions on Database Systems 2009

30 Mar 2012Presentation @ IDB Lab. Seminar

Presented by Jee-bum Park

Page 2: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Outline Introduction Background

– Isolation Levels– Snapshot Isolation– Write Skew

Serializable Snapshot Isolation Performance Evaluation Conclusion Discussion

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Introduction Transaction processing

– A powerful model from business data processing– Each real-world change is performed through a program

which executes multiple database operations

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Introduction Transaction processing

– A powerful model from business data processing– Each real-world change is performed through a program

which executes multiple database operations

Date User Items

2012-03-29 okbem bread, milk

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Introduction Transaction processing

– A powerful model from business data processing– Each real-world change is performed through a program

which executes multiple database operations

Date User Items

2012-03-29 okbem bread, milk

2012-03-30 okbem bread, Chic-Choc

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Introduction Transaction processing

– A powerful model from business data processing– Each real-world change is performed through a program

which executes multiple database operations

Date User Items

2012-03-29 okbem bread, milk

2012-03-30 okbem bread, Chic-Choc

2012-03-30 alice bread, beer

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Introduction Transaction processing

– A powerful model from business data processing– Each real-world change is performed through a program

which executes multiple database operations

Date User Items

2012-03-29 okbem bread, milk

2012-03-30 okbem bread, Chic-Choc,milk, beer

2012-03-30 alice bread, beer

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Introduction ACID properties

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Introduction ACID properties

– Atomicity

– Consistency

– Isolation

– Durability

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Introduction ACID properties

– Atomicity All or nothing, despite failures

– Consistency Maintains data integrity

– Isolation No problems from concurrency

– Durability Changes persist despite crashes

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Introduction Serializability

– Used to define the correctness of an interleaved execution of several transactions

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Introduction Serializability

– Used to define the correctness of an interleaved execution of several transactions

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Introduction Serializability

– Used to define the correctness of an interleaved execution of several transactions

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Outline Introduction Background

– Isolation Levels– Snapshot Isolation– Write Skew

Serializable Snapshot Isolation Performance Evaluation Conclusion Discussion

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Background – Isolation Levels SQL standard offers several isolation levels

– Each transaction can have level set separately

Serializable– This is the highest isolation level– Commit-duration locks on data and indices (2PL)

Repeatable read– Commit-duration locks on data

Read committed– Short duration read locks, commit-duration write locks

Read uncommitted– This is the lowest isolation level– No read locks, commit-duration write locks

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Background – Isolation Levels SQL standard offers several isolation levels

– Each transaction can have level set separately

Read anomalies– Dirty read– Non-repeatable read– Phantom read

Page 17: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Background – Isolation Levels SQL standard offers several isolation levels

– Each transaction can have level set separately

Dirty read

Page 18: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Background – Isolation Levels SQL standard offers several isolation levels

– Each transaction can have level set separately

Non-repeatable read

Page 19: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Background – Isolation Levels SQL standard offers several isolation levels

– Each transaction can have level set separately

Phantom read

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Background – Isolation Levels SQL standard offers several isolation levels

– Each transaction can have level set separately

Isolation level Dirty read Non-repeatableread Phantom

Read uncommit-ted Yes Yes Yes

Read committed No Yes Yes

Repeatable read No No Yes

Serializable No No No

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Background – Snapshot Isolation A concurrency control mechanism

Multiple versions– Version number timestamp of writing

transaction

First-committer-wins rule– Commits T only if no other concurrent

transaction has already written datathat T intends to write

T1 T2 T3

W(Y := 1)

Commit

Start

R(X) 0

R(Y) 1

W(X:=2)

W(Z:=3)

Commit

R(Z) 0

R(Y) 1

W(X:=3)

Commit-Req

AbortConcurrent updates not visible

Own updates are visibleNot first-committer of X

Serialization error, T2 is rolled back

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Background – Snapshot Isolation Reading is never blocked, and reads do not block

writes

Performance similar to read committed

Avoids the usual anomalies– No dirty read– No lost update– No non-repeatable read– No phantom

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Background – Snapshot Isolation Write-write conflict example

– T1: X ← 1 – X– T2: X ← 1 – X

T1 T2

R(X)

W(X)

R(X)

W(X)

Commit

Commit

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Background – Snapshot Isolation Write-write conflict example

– T1: X ← 1 – X– T2: X ← 1 – X

T1 (X = 0) T2 (X = 0)

R(X)

W(X)

R(X)

W(X)

Commit

Commit

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Background – Snapshot Isolation Write-write conflict example

– T1: X ← 1 – X– T2: X ← 1 – X

T1 (X = 0) T2 (X = 0)

R(X)

W(X)

R(X)

W(X)

Commit

Commit

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Background – Snapshot Isolation Write-write conflict example

– T1: X ← 1 – X– T2: X ← 1 – X

T1 (X = 0) T2 (X = 0)

R(X)

W(X) (X = 1)

R(X)

W(X)

Commit

Commit

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Background – Snapshot Isolation Write-write conflict example

– T1: X ← 1 – X– T2: X ← 1 – X

T1 (X = 0) T2 (X = 0)

R(X)

W(X) (X = 1)

R(X)

W(X)

Commit

Commit

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Background – Snapshot Isolation Write-write conflict example

– T1: X ← 1 – X– T2: X ← 1 – X

T1 (X = 0) T2 (X = 0)

R(X)

W(X) (X = 1)

R(X)

W(X) (X = 1)

Commit

Commit

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Background – Snapshot Isolation Write-write conflict example

– T1: X ← 1 – X– T2: X ← 1 – X

T1 (X = 0) T2 (X = 0)

R(X)

W(X) (X = 1)

R(X)

W(X) (X = 1)

Commit

Commit

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Background – Snapshot Isolation Write-write conflict example

– T1: X ← 1 – X– T2: X ← 1 – X

T1 (X = 0) T2 (X = 0)

R(X)

W(X) (X = 1)

R(X)

W(X) (X = 1)

Commit

Commit (abort)

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Background – Write Skew Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 T2

R(X)

R(Y)

W(Y)

W(X)

Commit

Commit

Page 32: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Background – Write Skew Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 (Y = 2) T2 (X = 1)

R(X)

R(Y)

W(Y)

W(X)

Commit

Commit

Page 33: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Background – Write Skew Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 (Y = 2) T2 (X = 1)

R(X)

R(Y)

W(Y)

W(X)

Commit

Commit

Page 34: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Background – Write Skew Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 (Y = 2) T2 (X = 1)

R(X)

R(Y)

W(Y)

W(X)

Commit

Commit

Page 35: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Background – Write Skew Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 (Y = 2) T2 (X = 1)

R(X)

R(Y)

W(Y) (Y = 1)

W(X)

Commit

Commit

Page 36: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Background – Write Skew Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 (Y = 2) T2 (X = 1)

R(X)

R(Y)

W(Y) (Y = 1)

W(X) (X = 2)

Commit

Commit

Page 37: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Background – Write Skew Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 (Y = 2) T2 (X = 1)

R(X)

R(Y)

W(Y) (Y = 1)

W(X) (X = 2)

Commit

Commit

Page 38: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Background – Write Skew Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 (Y = 2) T2 (X = 1)

R(X)

R(Y)

W(Y) (Y = 1)

W(X) (X = 2)

Commit

Commit

Page 39: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Background – Write Skew SI does not guarantee serializable executions

Write skew– SI breaks serializability when transactions modify different

items– Not very common in practice

Application developers should be careful about write skew

Page 40: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Outline Introduction Background

– Isolation Levels– Snapshot Isolation– Write Skew

Serializable Snapshot Isolation Performance Evaluation Conclusion Discussion

Page 41: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Add two flags to each transaction

– InConflict and OutConflict

SIRead locks– To indicate rw-conflict– Does not block anything, just for record keeping– Kept even after transaction commits

When T1 requests a write lock– T1.OutConflict = true– T2.InConflict = true if SIRead lock acquired by T2

Abort T if both T.InConflict and T.OutConflict are set

Page 42: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1In = false, Out = false

T2In = false, Out = false

R(X)

R(Y)

W(Y)

W(X)

Commit

Commit

Page 43: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 (Y = 2)In = false, Out = false

T2 (X = 1)In = false, Out = false

R(X)

R(Y)

W(Y)

W(X)

Commit

Commit

Page 44: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 (Y = 2)In = false, Out = false

T2 (X = 1)In = false, Out = false

R(X) (SIRead X)

R(Y)

W(Y)

W(X)

Commit

Commit

Page 45: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 (Y = 2)In = false, Out = false

T2 (X = 1)In = false, Out = false

R(X) (SIRead X)

R(Y) (SIRead Y)

W(Y)

W(X)

Commit

Commit

Page 46: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 (Y = 2)In = false, Out =

TRUE

T2 (X = 1)In = TRUE, Out =

false

R(X) (SIRead X)

R(Y) (SIRead Y)

W(Y) (Y = 1)

W(X)

Commit

Commit

Page 47: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 (Y = 2)In = TRUE, Out =

TRUE

T2 (X = 1)In = TRUE, Out =

TRUE

R(X) (SIRead X)

R(Y) (SIRead Y)

W(Y) (Y = 1)

W(X) (X = 2)

Commit

Commit

Page 48: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 (Y = 2)In = TRUE, Out =

TRUE

T2 (X = 1)In = TRUE, Out =

TRUE

R(X) (SIRead X)

R(Y) (SIRead Y)

W(Y) (Y = 1)

W(X) (X = 2)

Commit (abort)

Commit

Page 49: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example

– T1: Y ← X– T2: X ← Y

T1 (Y = 2)In = TRUE, Out =

TRUE

T2 (X = 1)In = TRUE, Out =

TRUE

R(X) (SIRead X)

R(Y) (SIRead Y)

W(Y) (Y = 1)

W(X) (X = 2)

Commit (abort)

Commit (abort)

Page 50: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example 2

– T1: Y ← X– T2: X ← Y

T1In = false, Out = false

T2In = false, Out = false

R(X)

R(Y)

W(Y)

Commit

W(X)

Commit

Page 51: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example 2

– T1: Y ← X– T2: X ← Y

T1 (Y = 2)In = false, Out = false

T2 (X = 1)In = false, Out = false

R(X)

R(Y)

W(Y)

Commit

W(X)

Commit

Page 52: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example 2

– T1: Y ← X– T2: X ← Y

T1 (Y = 2)In = false, Out = false

T2 (X = 1)In = false, Out = false

R(X) (SIRead X)

R(Y)

W(Y)

Commit

W(X)

Commit

Page 53: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example 2

– T1: Y ← X– T2: X ← Y

T1 (Y = 2)In = false, Out = false

T2 (X = 1)In = false, Out = false

R(X) (SIRead X)

R(Y) (SIRead Y)

W(Y)

Commit

W(X)

Commit

Page 54: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example 2

– T1: Y ← X– T2: X ← Y

T1 (Y = 2)In = false, Out =

TRUE

T2 (X = 1)In = TRUE, Out =

false

R(X) (SIRead X)

R(Y) (SIRead Y)

W(Y) (Y = 1)

Commit

W(X)

Commit

Page 55: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example 2

– T1: Y ← X– T2: X ← Y

T1 (Y = 2)In = false, Out =

TRUE

T2 (X = 1)In = TRUE, Out =

false

R(X) (SIRead X)

R(Y) (SIRead Y)

W(Y) (Y = 1)

Commit

W(X)

Commit

Page 56: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example 2

– T1: Y ← X– T2: X ← Y

T2 (X = 1)In = TRUE, Out =

false

R(Y) (SIRead Y)

W(X)

Commit

Page 57: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example 2

– T1: Y ← X– T2: X ← Y

T2 (X = 1)In = TRUE, Out =

false

R(Y) (SIRead Y)

W(X) (X = 2)

Commit

Page 58: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example 2

– T1: Y ← X– T2: X ← Y

T2 (X = 1)In = TRUE, Out =

false

R(Y) (SIRead Y)

W(X) (X = 2)

Commit (?????)

Page 59: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Serializable Snapshot Isolation Read-write conflict example 2

– T1: Y ← X– T2: X ← Y

Maintain locks past commit– Release when all concurrent transaction terminated

T1 (Y = 2)In = false, Out =

TRUE

T2 (X = 1)In = TRUE, Out =

false

R(X) (SIRead X)

R(Y) (SIRead Y)

W(Y) (Y = 1)

Commit

W(X)

Commit

Page 60: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Outline Introduction Background

– Isolation Levels– Snapshot Isolation– Write Skew

Serializable Snapshot Isolation Performance Evaluation Conclusion Discussion

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Performance Evaluation

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Performance Evaluation

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Outline Introduction Background

– Isolation Levels– Snapshot Isolation– Write Skew

Serializable Snapshot Isolation Performance Evaluation Conclusion Discussion

Page 64: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Conclusion Serializable SI

– Performance better than 2PL– Correctness better than SI

Adopted in PostgreSQL 9.1 (2011-09-11)

Page 65: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

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Outline Introduction Background

– Isolation Levels– Snapshot Isolation– Write Skew

Serializable Snapshot Isolation Performance Evaluation Conclusion Discussion

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Discussion Free talking time

Page 67: Serializable Isolation for Snapshot Databases Michael J. Cahill, Uwe Röhm, and Alan D. Fekete University of Sydney ACM Transactions on Database Systems.

Thank You!

Any Questions or Comments?