A data type in programming languages is an attribute of data which imparts information about what kind of data it is. Constraints, such as what types of values the piece of data can take and what operations can be performed upon it, can also be established by assigning a data type to the data. A type system associates one or more data types with each program value in a program. By examining what the instructions in the program do to the value of the data, a type system attempts to prevent “type errors”. For example, a particular programming language may consider assigning a string value to a variable of integer type to be a type error and will give an error message to the user who tries to do so. A type system also attempts to prevent illegal operations on data. For example, some programming languages consider adding a string and an integer together to be an illegal operation and will give an error message to the user who tries to do so. Type checking can occur either at compile time (a static check or static type checking) or at runtime (a dynamic check or dynamic type checking). If a language applies its typing rules vigorously, (for example, only allowing automatic type conversions which do not lose information), it is called a strongly-typed language. If a language is relatively less restrictive, it is called weakly typed.
A programming language is said to use static typing when type checking is performed during compile time. In static typing, types are associated with variables. Statically typed languages include Ada, C, C++, C#, Java, Fortran, Haskell, ML, Pascal and Scala. Static typing allows many errors to be caught early in the development cycle. Because static type checkers evaluate type information during compilation, and lack type information that is only available at runtime, static type checkers are conservative. That is, even if a particular execution of a program would run correctly, the program will be rejected by a static type checker if the conditions evaluated do not hold for all possible executions of the program. Because static type checkers evaluate the type information that can be determined at compile time and verify that the checked conditions hold for all possible executions of the program, there is no need to repeat static type checks every time the program is executed.
A programming language is said to be dynamically typed when most of the type checking is performed at runtime. In dynamic typing types are associated with values resulting from execution of the program. Dynamically typed languages include Clojure, Groovy, JavaScript, Lisp, Objective-C, PHP, Prolog, Python, Ruby, and Smalltalk. Dynamic typing is less rigid than static typing but can result in a greater potential for execution errors (e.g., an error results because a value for a variable has an disallowed type). Dynamically typed language systems typically make fewer compile time checks on the source code. Runtime checks potentially can be more sophisticated because they can use dynamic (runtime) information in addition to information that was present during compilation and is still available at runtime. Runtime checks assert that conditions hold in a particular execution of the program and are repeated for each execution of the program.
Binding can occur either at compile time, in which case it is called “static binding”, or can occur dynamically at runtime, which is called “dynamic binding”. Dynamic binding allows the postponement of the resolving of undefined variables until a program is run. Dynamic binding is fundamentally different from static binding because its result—the meaning assigned to an operation, for example—depends on the runtime types of the actual values it operates on instead of on the compile time types of the variables in the source code. Typically, statically typed programming languages perform static binding and dynamically typed programming languages perform dynamic binding.
Static type checking is performed against external data sources in an interacting editing environment such as in an integrated development environment (IDE), interactive editing or REPL environment. A rich editing experience can be provided to users for external data equivalent to that provided for internal static, typed data. An extensible compiler is provided so that a user or third party can extend type checking facilities to any external data source. An extensible language service is provided so that a user or third party can extend the language service to provide a consistent, current static view of external data. The extensible compiler and language service allow language extensions to plug into the type checking process. This enables the compiler and language service to provide an extension point that enables the compiler to be extended and to allow the language service to render dynamic information statically.
This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
In the drawings:
Programmers often write code that targets a particular external (typically but not necessarily dynamic) data source including but not limited to a database, a Microsoft Excel® spread sheet, a web service, a file on disk, a domain specific model and so on. A number of programming languages provide dynamic type access to these domains but do not provide IDE support. Traditionally, external data sources are accessed dynamically by calling methods (e.g., a call such as GET ROW is made on a SQL database and a string is passed in). At build time, code generators may be run that inspect a data source and generate code (typically, large quantities of code). This approach involves ongoing maintenance and updating of the code generators and is not able to provide a good IDE experience for the developer. That is, because information from the external data sources is not available until build time, programmer features like auto-completion, parameter help and tooltips are not available at design time. Static type checking is similarly unavailable for external data sources.
Hence, while design-time code generation techniques may exist they are cumbersome to maintain and require the creation of language features pertaining to IDE interaction. An IDE may interactively generate code at design time to recover lost programmer features but not provide a good IDE experience. For example, the IDE may not be able to support the generation of code for the language the programmer is using. Secondly, the language the programmer is using may not have special features (e.g., partial classes in C#) needed for full support in the IDE. Moreover, each particular interactive code generator implementation has to be specially designed to work with a particular IDE, thereby limiting the usefulness of the code generator. Finally, because large quantities of code may be generated, the size of the resulting executable is increased.
Static typing is typically available for objects that are inside the programming language's type system or that come from the programming language but is unavailable as soon as data comes from outside of the programming language. In accordance with aspects of the subject matter disclosed herein strong data typing is extended to user-selected external data sources in a light weight way. At compile time a temporary static type is fabricated. The compiler uses the synthesized type to connect to whatever data source is specified. The synthesized type is not a permanent, “real” type but is used to provide enough information to the compiler to allow the compiler to perform its compilation and to generate executables. The synthesized type may be removed at a later stage in the compilation or it may be realized or converted into a real type. The choice described is up to the extension provider. A particular compiler, such as the F# compiler, for example, can allow both. In a CLR (Common Language Runtime) environment, the compiler can write IL (intermediate language) into the resulting assembly. The extended language service can provide programmer support inside the IDE, so that, for example, features like auto-completion, parameter help, function lists and so on are available to the programmer as he is writing code in the source code editor.
Compiler 108 can be any statically typed compiler, including but not limited to an F# or C# compiler. Compiler 108 can be a background compiler. Extension point 116 can be a extension point that is shared by the compiler 108 and the language service 112 so that a component, module or extension such as extension 118, 122, 126, etc. can be written or received to extend the typical compilation/editing process. Alternatively, extension point 116 may plug into the compiler and information generated via the extension point 116 may flow from the compiler into the language service to present a view of the external data. The extension point 116 can be customized for the external data source, e.g., data source 120, 124, 128, etc. The extension point can be made accessible via an API (application programming interface) which can be published and made publicly visible so that users can plug into the extension point to extend the compiler in a controlled way. The compiler extension can be integrated throughout the entire pipeline of the build time experience from compile time to the tooling and IDE and also can influence the run time behavior of the application executable 110 that is generated by the extended compiler.
An external data source can be a static or dynamic data source of any type. For example, an external data source can be a live Microsoft® Excel® file containing data pertaining to a specific domain, an XML file containing data pertaining to a specific domain, an instance of a SQL database, a web service, or any dynamic or static external file. The extension point 116 provides information to the compiler, the information extracted by reading these external data sources. The compiler and language service receive the information provided by the extension point 116, and from this information the compiler and language service can give the user an experience that is equivalent to that received when programming against static types.
An editor 114 designed for editing source code of computer programs receives user input 134 and typically includes features designed to simplify and speed up input of source code. These features include but are not limited to syntax highlighting, auto-completion, bracket matching, parameter help, function list, tooltips and so on. Editor 114 may also perform syntax checking while the programmer types, immediately detecting and notifying the user of syntax problems. An editor, backed by the language service and/or background compiler 108, can also act as a discovery tool. For example, in some known editors, a programmer can type a function name (e.g., input 134) and in response to entering “.” (dot), a list of parameters may be displayed for the function. This feature, available for members, parameters, functions and other program elements, is typically only available for statically typed program elements. In accordance with aspects of the subject matter disclosed herein, this discovery feature is also available for information available from external data sources.
For example, in accordance with aspects of the subject matter disclosed herein, when “.” is entered, instead of exploring a .NET type or other type internal to the programming environment, information from an external data source such as database, a website, etc. is provided. Hence the features described herein can provide a way to dynamically explore as well as to access data from external data sources. Within an integrated development environment developers often use “dot” to learn how an API works. Instead of referring to documentation, which is not always current, developers often prefer to learn about existing software by entering dot, looking at the available choices, selecting one of the choices, entering dot, and so on. In accordance with aspects of the subject matter disclosed herein, this exploration and discovery feature is available for external data sources in addition to internal static types.
An example of a Microsoft® Excel® plug in that can render live Excel® data to the compiler follows. This example is illustrative and not limiting.
In the example, above, programmer features such as auto-completion or Intellisense can obtain information regarding the content of Excel cells (e.g., “500 M”) directly from the Excel file.
At 204 a reference to the compiler extension code is added to the user's project.
For, example, a user can then simply add the following line of code in their file:
#r “myhost.dll”
The extended compiler can import types marked with a particular attribute such as for example, ExtendCompiler and transform these elements into internal representations comprising synthetic types for the external data source. These transformations occur via the methods on a system type from which the types inherit. After converting the external entities into internal representations, the objects flow through the compiler logic without affecting existing type inference, analysis, code generation, and so on. When calls or methods are made on these types, the compiler generates code that calls a method invocation such as InvokeMethod on the host type that was imported to perform the work at runtime.
At 206 while the user is editing or writing his program in the editor, the compiler and language service provide the same type of experience for the external data source as for internal static data types. A user perceives this data to be static when writing code in an IDE. The user experience with respect to programmer aids such as auto-completion, parameter help, tooltips, etc. is identical to that provided against a static type library. For example, if the user adds a reference to a database extension such as an Oracle database extension into his project, when he types “Oracle database.” in response to parsing the dot, the language service will return a list of Oracle databases available on his machine. By entering “.” again, the user may receive a list of the tables inside the selected Oracle database. Code can be written against the specified Oracle table and so on.
At 208 during the code generation part of the compilation step, synthetic types and synthetic method calls are removed and are replaced with a set of dynamic calls to the external data source. In the absence of the features described herein, these generated dynamic calls would have had to be written in the code directly by the developer. When the executable is built and runs, the executable accesses the database specified in the code and retrieves real data out of the database. During the code generation part of the compilation step, the synthetic type can report back a real type that should be used instead of the synthetic type. The real type can be a database connection object, a .NET system object, an Excel® application type and so on. The synthetic method calls are replaced by the compiler asking the extension for an expression tree that represents the method call. The expression tree may contain a method call to a real method that exists in the programming environment or it may contain any sort of program that can be written in the programming environment.
In order to provide context for various aspects of the subject matter disclosed herein,
With reference to
Computer 512 typically includes a variety of computer readable media such as volatile and nonvolatile media, removable and non-removable media. Computer storage media may be implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CDROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other transitory or non-transitory medium which can be used to store the desired information and which can be accessed by computer 512.
It will be appreciated that
A user can enter commands or information into the computer 512 through an input device(s) 536. Input devices 536 include but are not limited to a pointing device such as a mouse, trackball, stylus, touch pad, keyboard, microphone, and the like. These and other input devices connect to the processing unit 514 through the system bus 518 via interface port(s) 538. An interface port(s) 538 may represent a serial port, parallel port, universal serial bus (USB) and the like. Output devices(s) 540 may use the same type of ports as do the input devices. Output adapter 542 is provided to illustrate that there are some output devices 540 like monitors, speakers and printers that require particular adapters. Output adapters 542 include but are not limited to video and sound cards that provide a connection between the output device 540 and the system bus 518. Other devices and/or systems or devices such as remote computer(s) 544 may provide both input and output capabilities.
Computer 512 can operate in a networked environment using logical connections to one or more remote computers, such as a remote computer(s) 544. The remote computer 544 can be a personal computer, a server, a router, a network PC, a peer device or other common network node, and typically includes many or all of the elements described above relative to the computer 512, although only a memory storage device 546 has been illustrated in
It will be appreciated that the network connections shown are examples only and other means of establishing a communications link between the computers may be used. One of ordinary skill in the art can appreciate that a computer 512 or other client device can be deployed as part of a computer network. In this regard, the subject matter disclosed herein may pertain to any computer system having any number of memory or storage units, and any number of applications and processes occurring across any number of storage units or volumes. Aspects of the subject matter disclosed herein may apply to an environment with server computers and client computers deployed in a network environment, having remote or local storage. Aspects of the subject matter disclosed herein may also apply to a standalone computing device, having programming language functionality, interpretation and execution capabilities.
A user can create and/or edit the source code component according to known software programming techniques and the specific logical and syntactical rules associated with a particular source language via a user interface 640 and a source code editor 651 in the IDE 600. Thereafter, the source code component 610 can be compiled via a source compiler 620, whereby an intermediate language representation of the program may be created, such as assembly 630. The assembly 630 may comprise the intermediate language component 650 and metadata 642. Application designs may be able to be validated before deployment.
The various techniques described herein may be implemented in connection with hardware or software or, where appropriate, with a combination of both. Thus, the methods and apparatus described herein, or certain aspects or portions thereof, may take the form of program code (i.e., instructions) embodied in tangible media, such as floppy diskettes, CD-ROMs, hard drives, or any other machine-readable storage medium, wherein, when the program code is loaded into and executed by a machine, such as a computer, the machine becomes an apparatus for practicing aspects of the subject matter disclosed herein. In the case of program code execution on programmable computers, the computing device will generally include a processor, a storage medium readable by the processor (including volatile and non-volatile memory and/or storage elements), at least one input device, and at least one output device. One or more programs that may utilize the creation and/or implementation of domain-specific programming models aspects, e.g., through the use of a data processing API or the like, may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language, and combined with hardware implementations.
While the subject matter disclosed herein has been described in connection with the figures, it is to be understood that modifications may be made to perform the same functions in different ways.