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LINQ, Take Two Realizing the LINQ to Everything Dream Bart J.F. De Smet Senior Software Development Engineer Microsoft Corporation
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Censored 7 years ago Little recent innovation Where’s the cloud?
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Why? What? How? Monads
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IEnumerable IQueryable IEnumerable IQueryable new[] { 42 } SelectMany IEnumerable SelectMany ( this IEnumerable source, Func > selector) Could there be more? Also see www.codeplex.com/LINQSQO for “Project MinLINQ”
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from _ in name from s in _.ToUpper() select s from _ in name from s in _.ToUpper() select s name.SelectMany( _ => _.ToUpper(), s => s) name.SelectMany( _ => _.ToUpper(), s => s) Compiler Null-propagating dot string s = name?.ToUpper(); Null-propagating dot string s = name?.ToUpper(); Syntactic sugar One single library function suffices
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demo Bart J.F. De Smet Senior Software Development Engineer Cloud Programmability Team Essential LINQ
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var src = new Source (); var res = from p in src where p.Price > 100m group p by p.Category; foreach (var p in res) Console.WriteLine(p); Implements IQueryable Implements IQueryable Compiles fine Does it really have to be a runtime check?
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var res = from p in src where p.Price > 100m group p by p.Category; var res = src.Where(p => p.Price > 100m).GroupBy(p => p.Category); Syntactic sugar Can be instance methods Source Filtered Projected WhereSelect No GroupBy “edge”
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var res = from tweet in twitter where tweet. About From Location == “Bart” From From About Location == “LINQ” About where tweet. About Query “learns” class Twitter { public TwitterByFrom Where(Func filter); // Other filter methods } Recipe Method overloads Type state machine Operator overloads Recipe Method overloads Type state machine Operator overloads “Has a” type From operator overloading class TwitterByFrom { public TwitterByAboutFrom Where(Func filter); // Other filter methods // Fields with current filters } select tweet; Custom syntax trees class TweetAboutFromLoc { public FromString From; public AboutString About; public LocString Location; } class FromString { FilterFrom operator ==( FromString f, string s) } class TweetAboutFromLoc { public FromString From; public AboutString About; public LocString Location; } class FromString { FilterFrom operator ==( FromString f, string s) } class TweetAboutLoc { public AboutString About; public LocString Location; } class AboutString { FilterAbout operator ==( AboutString f, string s) } class TweetAboutLoc { public AboutString About; public LocString Location; } class AboutString { FilterAbout operator ==( AboutString f, string s) }
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demo Bart J.F. De Smet Senior Software Development Engineer Cloud Programmability Team Query Providers Revisited
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+ + 1 1 * * 2 2 3 3 Source domain Rule Set Patterns with rewrite actions Rule Set Patterns with rewrite actions Target domain BURS Tree Rewriting Engine E.g. LINQ Expression TreesE.g. T-SQL Expression Trees Const(2) Const(3) Mul Inc Currently built at runtime, e.g. once per LINQ provider that gets loaded
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x 1 $ Const(x) Leaf node ? : int1 Final states 1 1 $ Any source leaf node with an int constant value can be reduced using rule 1. Final states have a cost (incremental, see further).
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x + ab 1 $ Const(x) 2 $ Add(a,b) Leaf node ? : int1 Wildcard a : int2 * + 3 Final states 1 1 $ 3 2 $ Wildcard b doesn’t get its own entry, since it has the same type as wildcard a. This reduces space in the BURS tables. Wildcard b doesn’t get its own entry, since it has the same type as wildcard a. This reduces space in the BURS tables. 2D table for state transition of the + operator. Wildcard matches any subtree that’s assignable to int.
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x + ab * ab 1 $ Const(x) 2 $ Add(a,b) 3 $ Mul(a,b) Leaf node ? : int1 Wildcard a : int2 * + 3 * 2 * 4 Final states 1 1 $ 3 2 $ 4 3 $ What’s the meaning of costs? The cost of 3$ is incremental and has to be added to the cost of all the wildcard matches. In this case, a match of the Mul -rule (4 ) costs 3$ + cost a + cost b. What’s the meaning of costs? The cost of 3$ is incremental and has to be added to the cost of all the wildcard matches. In this case, a match of the Mul -rule (4 ) costs 3$ + cost a + cost b.
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x + ab * ab + c* ab 1 $ Const(x) 2 $ Add(a,b) 3 $ Mul(a,b) 4 $ AddMul(a,b,c) Leaf node ? : int1 Wildcard a : int2 * + 3 4 5 * 2 * 4 Final states 1 1 $ 3 2 $ 4 3 $ 5 4 $ A pattern forest is kept to map subtrees on already existent states. Here (a * b) matches state 4.
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x + ab * ab + c* ab + a1 1 $ Const(x) 2 $ Add(a,b) 3 $ Mul(a,b) 4 $ AddMul(a,b,c) 1 $ Inc(a) Leaf node ? : int1 16 Wildcard a : int2 * + 6 3 7 4 5 * 2 * 4 Final states 1 1 $ 3 2 $ 4 3 $ 5 4 $ 7 1 $
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23 * 1 + Leaf node ? : int1 16 Wildcard a : int2 * + 6 3 7 4 5 * 2 * 4 Final states 1 1 $ 3 2 $ 4 3 $ 5 4 $ 7 1 $ 5 $ 6 $ Constant leaf node 1 doesn’t contribute cost (part of pattern).
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demo Bart J.F. De Smet Senior Software Development Engineer Cloud Programmability Team Bottom Up Rewriting
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Environment MoveNext Got next? Application OnNext Have next! IEnumerable IEnumerator IEnumerable IEnumerator IObservable IObserver IObservable IObserver Interactive Reactive
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Observable Subscribe Observer
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Event Stream Processing Interfaces namespace System { public interface IObservable { IDisposable Subscribe(IObserver observer); } public interface IObserver { void OnNext(T value); void OnError(Exception error); void OnCompleted(); }
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Fixed (MSIL) Translatable (Expression trees) ToQueryable ToObservable ToEnumerable AsQueryable AsEnumerable AsQbservable AsObservable Pull (interactive) Push (reactive) Concurrency (IScheduler) LINQ to *.* What? Where? How? Worker pools Message loops Threads Distributed Duality Homo-iconic IQbservable LINQ to WMI Events ToQbservable IQueryable LINQ to SQL IEnumerable LINQ to Objects IObservable LINQ to Events
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IQbservable - The Dual of IQueryable public interface IQbservable : IObservable { Expression Expression { get; } Type ElementType { get; } IQbservableProvider Provider { get; } } public interface IQbservableProvider { IQbservable CreateQuery (Expression expression); } Extended role for some operators No Execute method Homoiconic naming IQbservable IObservable Homoiconic naming IQbservable IObservable
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demo Bart J.F. De Smet Senior Software Development Engineer Cloud Programmability Team LINQ to Twitter
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Baked in notion of “where”? foreach (var p in res.RemoteOn(new SqlScheduler(“server”))) // Process product Decoupled “what” from “where” Entry-point for the schema Custom schedulers could be very rich (e.g. server farm) var ctx = new NorthwindDataContext(); var res = from product in ctx.Products where product.Price > 100m select product.Name;
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Rx.NET RxJS stocks.Where(function (t) { return t.Symbol == “MSFT”; }).Select(function (t) { return t.Quote; }) JSON serializer Observable data source Retargeting to AJAX from ticker in stocks where ticker.Symbol == “MSFT” select ticker.Quote
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Query Server Alice F9 F10 chat talk var chat = svc.GetStream (“chat”); var talk = from msg in chat where msg.From == “Bob” select Translate(msg.Text, “fr”); talk.Subscribe(s => ShowMessage(s)); F5 chat Where Select = = msg “Bob” From msg Text Translate chat Where Select = = msg “Bob” From msg Text
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Query Server Alice chat talk var chat = svc.GetStream (“chat”); var talk = from msg in chat where msg.From == “Bob” select Translate(msg.Text, “fr”); talk.Subscribe(s => ShowMessage(s)); Bob F9 chat F10 var chat = svc.GetStream(“chat”); Rx.Observable.FromDOMEvent(txt, “Changed”).Select(function (e) { return txt.Text; }).Throttle(.5 /* 500 ms */).Subscribe(function (s) { chat.OnNext(new Message(“Bob”, s)); }); F5 chat Where Select = = msg “Bob” From msg Text Translate chat
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Query Server Alice chat talk Bob chat Hello Alice! F5 var chat = svc.GetStream(“chat”); Rx.Observable.FromDOMEvent(txt, “Changed”).Select(function (e) { return txt.Text; }).Throttle(.5 /* 500 ms */).Subscribe(function (s) { chat.OnNext(new Message(“Bob”, s)); }); Bob says: Hello Alice! Bonjour Alice! var chat = svc.GetStream (“chat”); var talk = from msg in chat where msg.From == “Bob” select Translate(msg.Text, “fr”); talk.Subscribe(s => ShowMessage(s)); F5 Bob says: Bonjour Alice! Where Select = = msg “Bob” From msg Text Translate “Bonjour Alice!” From: “Bob” Text: “Hello Alice!” From: “Bob” Text: “Hello Alice!” From: “Bob” Text: “Hello Alice!” From: “Bob” Text: “Hello Alice!” Translate “Bonjour Alice!” “Hello Alice!”
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demo Bart J.F. De Smet Senior Software Development Engineer Cloud Programmability Team Expression Tree Serialization
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announcing Now with support for hosting expression tree based queries (enumerable and observable) StreamInsight v2.1
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Model[ Decisions[Reals, SA, VZ], Goals[ Minimize[20 * SA + 15 * VZ] ], Constraints[ C1 -> 0.3 * SA + 0.4 * VZ >= 2000, C2 -> 0.4 * SA + 0.2 * VZ >= 1500, C3 -> 0.2 * SA + 0.3 * VZ >= 500, C4 -> SA <= 9000, C5 -> VZ <= 6000, C6 -> SA >= 0, C7 -> VZ >= 0 ] from m in ctx.CreateModel(new { vz = default(double), sa = default(double) }) where 0.3 * m.sa + 0.4 * m.vz >= 2000 && 0.4 * m.sa + 0.2 * m.vz >= 1500 && 0.2 * m.sa + 0.3 * m.vz >= 500 where 0 <= m.sa && m.sa <= 9000 && 0 <= m.vz && m.vz <= 6000 orderby 20 * m.sa + 15 * m.vz select m To compute call Solve Symbolic, non-persisted Cost / barrel Max # barrels Max # barrels Min # barrels Min # barrels Refinement %
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from costSA in GetPriceMonitor("SA") from costVZ in GetPriceMonitor("VZ") from m in ctx.CreateModel(new { vz = default(double), sa = default(double) }) where 0.3 * m.sa + 0.4 * m.vz >= 2000 && 0.4 * m.sa + 0.2 * m.vz >= 1500 && 0.2 * m.sa + 0.3 * m.vz >= 500 where 0 <= m.sa && m.sa <= 9000 && 0 <= m.vz && m.vz <= 6000 orderby costSA * m.sa + costVZ * m.vz select m Observable data sources SelectMany Parameters to decision Subscribe here!
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demo Bart J.F. De Smet Senior Software Development Engineer Cloud Programmability Team LINQ to Constraints
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DEV413 – Curing your Event Processing Blues using Reactive Extensions (Rx) Find Me Later The Week At The Ask The Experts
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