Programming in Practice - LINQ to SQL - Explained

Introduction

In this chapter, we will continue discussing topics related to structural data and the ability to create queries using LINQ expressions. Let me remind you that the LINQ abbreviation stands for language-integrated query. This time, we will use these queries to pre-select data from the relational database.

However, I must emphasize here that we will focus only on issues related to the programming language, i.e. its syntax and semantics. Unfortunately, we cannot completely avoid topics related to the design environment used, namely Visual Studio and the dedicated libraries. Anticipating questions about why I chose this and not another approach, I would like to emphasize that, in my opinion, it guarantees minimization of the costs of entering the subject. If the priority is different then most of what we will talk about also applies in another environment, e.g. Entity Framework.

At run-time, the text of our program (in the following illustration) has been compiled, entered into memory, and become a process managed by the computer's operating system. The operating system strongly defends the integrity of resources committed to the process. This defense is encapsulation, which forces you to use the operating system when you need to exchange data with the external environment.

The figure also shows the layered architecture of the program. The reasons for introducing layers have already been discussed. I suggest not returning to this topic now. Currently, our goal is to discuss issues related to external data management. External data means that it has to be accessed from outside of the process hosting the program.

Now our goal is to discuss issues related to the interaction of the process executing the program with databases, i.e. with an external database management system (Database Management System, DBMS for short). The purpose of a DBMS is to consistently store and archive data according to a scheme that manages data structures. Data is made available and processed by the DBMS using a query language that should be widely known and accepted to guarantee the scalability of solutions. Examples include the relational database and SQL (sequential query language). Other examples that can be treated as equivalent in this context are Triple Store and SharePoint databases. However, in further analysis, we will refer only to relational databases although the topic of how to use the discussed mechanisms to gain access to other types of databases will also be the subject of discussion.

In the figure above, two places can be distinguished where data can be located. Of course, this is the database itself, but also the data layer of the program. To make this possible, in the data layer of the program we must have a kind of process data buffer and an interface enabling management of the database itself. A typical operation directly related to the DBMS, but only indirectly related to the process data, is opening and closing a connection to the database. From time to time the local data has to be synchronized with a database storage.

Database operations are executed and data between the stakeholders is transferred using the.

• custom application in concern
• local system software, and libraries referred to by the program
• operating system
• communication protocols - this is usually also part of the operating system
• query language interpreter in DBMS software, for example, SQL language processor

It's a very diverse environment, so the real challenge is how to.

• ensure proper training of programmers
• minimize the possibility of making mistakes
• ensure a consistent diagnostic system
• ensure portability - the possibility of transferring solutions between various environments, for example changing the operating system

LINQ expression, i.e. language integrated query, is a technology integrated with a programming language that allows addressing many of the mentioned goals. Therefore, I devote this section to familiarizing ourselves with this mechanism in the context of relational databases as an example that can also be expanded and used for other external data repositories.

Database Deployment

To have something to practice on, we will start by creating a sample database and connection setup using the Visual Studio design environment. To make the example useful, we also need to create metadata describing the structure of the data in the database. We call this metadata database schema. By design, the database schema is a logical representation of how data should be organized and stored within a database system. It acts as a blueprint that defines the structure and relationships of data parts. Think of it as the skeleton of the database, outlining the essential components.

Since the database functionality is implemented as an independent external process called Database Management System (DBMS) the program we have developed cannot directly use its functionality. Instead, it uses the intermediary of the operating system by using a local data snapshot to indirectly operate on the database. As a result, we have a solution similar to the well-known proxy pattern. Additionally, for local program needs, the local snapshot represents the schema and is a process data buffer. Typically, partially this is a replica that is not fully functionally equivalent to the DBMS and contains only selected data. Here we have an issue with how to define a condition that can be applied to select data in the buffer. These issues will be our concern in this section.

The next issue is using the database in a custom program. We will examine selected issues related to this topic using unit tests. For a local snapshot to be useful, it must be interconnected with the database. In addition to creating appropriate communication channels between the replica and the DBMS, they are connected by a session responsible for user authentication and authorization of operations performed on the database. Operations on the database and the data deposited in it are performed based on a formal description, in this case, compliant with the SQL language. Creating error-free SQL queries in the context of a custom program written using another programming language is another challenge we have to face. If we use expressions written using query syntax in a selected programming language, we can automatically translate them into any other language, including SQL. How to do it? An attempt to answer this question is included in this part, which will concern mapping definitions in the local snapshot and remote database schema.

Since the examples discussed require access to a database, it is necessary to provide a server that acts as a DBMS and publishes data following a previously designed scheme for testing purposes. Since the program text is in a public repository and can be used in various environments, the unified use of a real SQL server is difficult to fulfill. One way to solve this problem is to use the Visual Studio environment in the server role. This requires creating a database file and then making it available for testing in such a way that the conditions of our tests do not differ significantly from the real production environment in which an external server is natural.

So we'll start by creating a sample database file. The example is located in the unit test project in a separate folder Instrumentation. The folder name doesn't matter. Our library is indeed educational, not production-oriented, but this approach allows us to design a library implementing the data layer in such a way that it is completely independent of the DBMS implementation method and does not contain elements dedicated to the test environment. Thanks to this, it can be later used in production without modification of the program text.

Therefore, in the selected place in the project, from the context menu, select add a new element. A window appears with a vast variety of components that we can potentially add to the project. Let's limit the list of proposals by selecting Date from the list of available categories. The component we need is a Service-based Database. It has been added to the project already with the name CDCatalog. As a result, two files are attached to the project. Select the option copy always to ensure they are copied to the output folder after the program build is completed.

The condition for using tools available in Visual Studio is to establish a connection and, as a result, create an imitation of a SQL server. For this purpose, we will use the Server Explorer and Data Connection windows in the server type selection tree. The context menu allows us to add a new connection. You must select Microsoft SQL Database File as the data source. This will permit us to select a file with the .mdf extension in the next step. We can test the correctness of the connection to this development database server. The result is a new multi-component tree node that, when expanded, has content identical to that of a typical relational database.

For the example to be useful, we also need to create metadata describing the structure of the database. We call this metadata the database schema. Designing a database schema is beyond the scope of this document. However, this will not be a big divergence from the real scenario if we assume that the database already exists and is compatible with the purpose it is intended to serve. According to our needs, a schema was created assuming the creation of, as before, a primitive CD catalog, which consists of two tables: CDCatalogEntity and Person. Stepping into these tables - colloquially speaking - shows their structure and the SQL scripts that can be used to create them. It is worth paying attention to the foreign key defining their mutual relationship.

For the program to process data stored under the control of an external repository, i.e. an independent process, it must be fetched to local memory first. This means that a local memory snapshot is used to store relevant data. It is like a database mirroring feature. The replication may be partial or complete. In addition to buffering process data, it is also responsible for providing the functionality of data synchronization with the repository. The mentioned functionality and process data structures require their implementation using types. To meet this requirement, two mutually consistent areas can be distinguished. The first area consists of typical solutions, repeatable for every program using a DBMS. The second area includes the need to meet individual requirements. An example of individual requirements is the local mapping of data structures. As a result, from the program's point of view, the obtained snapshot creates an additional abstract layer, i.e. it hides the implementation details of the actual mechanism of interaction with external repositories of structural data.

Repeatable solutions are offered in the form of design environment dedicated features (for example, Visual Studio and its server explorer) but also libraries and additional tools. These tools can be used, for example, to automate the process of managing program text related to meeting individual needs. One of such needs is the automatic generation of types that will represent a similar process data structure to that in the repository. The whole thing usually creates a complex infrastructure, often referred to as a framework. Our main goal is to focus on solutions integrated with a programming language that can be used in any case. Discussing the selected infrastructure is beyond the scope of the article, but something must be chosen to ensure that relevant content is placed in a practical context. Since we're discussing LINQ expressions, LINQ to SQL seems like a natural choice.

To start working with the database, in a selected place in the project add the LINQ to the SQL classes component, which can be found in the set of available Visual Studio components. It is easier to find this component if we limit the number of displayed components by selecting Date in the category tree. As you can see, the LINQ to SQL classes technology is not the only implementation that enables cooperation with external repositories for archiving and processing data. Let's call this component similar to the previous one, namely Catalog.

Once created, the new multi-component item appears in the selected location. By double-clicking on the node grouping these components, the graphical editor appears.

This editor allows you to transfer tables from a previously connected SQL server to the working tab of the graphical editor. Using the schema defined in the database, we can drag and drop two previously designed tables on the graphical editor surface. The structure diagram created this way contains appropriate properties for table columns and relationships between tables. It is worth noting here that the types of these properties were automatically selected based on the component types used in the tables.

The created diagram resembles a UML class diagram. In this diagram, as I mentioned, the classes were automatically connected using references. These references in the diagram are a consequence of the foreign key used to define the relationship between table entities in the database. It must therefore be implemented in the program code as a reference value to introduce similar structural dependencies into the program. We can edit relationship properties in a separate editor window, which we open from the context menu.

Designing this structure results in automatically generated program text that implements it in partial classes. The database is represented by the CatalogDataContext class. The author is represented by a class called Person, and the CD is represented by the CDCatalogEntity class. It is worth noting that all classes are partial so that additional definitions can be added in a separate file, thus meeting individual needs related to the implemented data processing.

The CatalogDataContext class inherits from DataContext from the .NET library. This inheritance shows how polymorphism was used to meet individual needs and the base class to implement common requirements for functionality dedicated to operating on the database as one whole. This class also implements the IDisposable interface, which should be used to properly manage the lifetime and state of an object created from this class.

Since the auto-generated text contains several hundred lines, I suggest analyzing it using the Show on Code Map function. The resulting graphical representation of the text, i.e. the diagram, describes the content of the generated classes and shows the relationships between them. The goal of the analysis is to find similar relationships that we had previously in classes created manually. The generated text contains three classes presented in the diagram. After filtering out the elements that are unnecessary for this analysis, it can be seen that the Person class representing the author of the disc and CDCatalogEntity representing the disc are recursively connected.

First, we look for the CDCatalogEntity class and the one-to-one relationship connecting the CD with its author, namely the Person class. It is implemented by a property with the same name as the target class, namely Person. It returns a reference to an instance of the Person class.

Let's now move on to find a relationship in the opposite direction, namely the relationship that will connect the author represented by the Person class and all his records, i.e. a member that provides relationships between instances of the Person class and instances of the CDCatalogEntity class. This many-to-one relationship is implemented as the CDCatalogEntities property, which returns a reference to the generic EntitySet instance. As you can see, in the created program text, an instance of this type is a collection of the CDCatalogEntity instances.

Since the CatalogDataContext class, which represents the database as one whole, is a partial class, we can implement custom functionality dedicated to individual needs in a separate file containing a second part. We will limit the code to examples of using various LINQ expressions and compare them with typical iteration operations.

Since the CatalogDataContext class, which represents the database as one whole, is a partial class, we can implement custom functionality dedicated to individual needs in a separate file containing a separate part. We will limit the code to examples of using various LINQ expressions and compare them with typical iteration operations.

Additionally, this class contains the AddContent method, which is intended for adding initial data to the database. Additionally, the TruncateAllData method is used to clean the database content. It is useful in unit tests to ensure that the initial conditions of the test are uniform.

The first method used to compare different data filtering implementations uses the foreach statement. In the second, the filtering algorithm was written using the LINQ query expression. The last implementation uses the method syntax of the LINQ expression. We will examine the features of individual implementations using unit tests. It should be emphasized again that the tests we discuss are not intended to check the correctness of the proposed solutions, but only to test their features.

Database Usage
 

Database Connection

Let's now analyze example methods for filtering data from the database in the context of unit tests. They act as services that provide access to structural data to higher layers. The important responsibilities are as follows

• connection to the database
• creating SQL queries
• execution of the queries in the context of the connection
• disconnection from the database

Since data is processed locally using a certain partial snapshot of the database located in the in-process memory the query creation must be harmonized with the structure of this replica.

A file with the database content was attached to the test project to apply this approach. To prevent tests from modifying their content each time they are executed, it must be copied to the testing workspace. For this purpose, the DeploymentItem attribute is used, whose job is to copy the file to a local folder with a predictable name before running tests in this class. This attribute copies the file using the current path to the output folder where the compiler places its results. This allows you to copy files regardless of the compiler configuration you are currently using.

For a previously added database file to be copied by the compiler (or rather by the msbuild program) it must have the appropriate property set to the option copy always in the settings file. We can do this using the context menu for this file, in this case, the CDCatalog file with the mdf extension.

The ClassInitializationMethod method is responsible for creating a valid connection string based on the known location where the database file is copied and the template text enabling the use of the Visual Studio environment to emulate a connection to the database server, i.e. the DBMS. The designated stream of characters will be further used to establish a connection with an imitation of the database DBMS.

The local snapshot represents the database as an instance of the CatalogDataContext class. Because this class implements the IDisposable interface, it is instantiated in the using statement, which guarantees calling the 'Dispose' method whenever the _newCatalog variable leaves the visibility scope, so the object to which it stores references can no longer be directly used in the program. A connection string is passed to the constructor of this class, which indicates that the created object is responsible for managing the connection and the session created on its basis. The session stores the context in which communication between the local objects creating the database replica and the DBMS takes place. Within this context, the identity that will be used to authorize operations requested by the local replica to the remote DBMS is important.

using (CatalogDataContext _newCatalog = new CatalogDataContext(m_ConnectionString))
{ ... }

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Typically, a database contains data reflecting the state of a certain process, which means that it is necessary to depend on the history of operations applied to this database. As a consequence, from the point of view of tests, the content of the database becomes unpredictable - it is not determined in time. To ensure predictable unit test results, the database content must also be predictable. The purpose of the PrepareData method is to solve this problem. It creates objects and connects them into a graph with repeatable and known content. We will use it as test data that will serve as initialization data. To initialize the database, we must create objects with types consistent with the content of the tables and combine them into an equivalent structure. The created graph has no additional functionality so it can be treated as a Data Transfer Object (DTO).

_newCatalog.AddContent(TestDataGenerator.PrepareData());

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Concrete classes that meet DTO requirements have been defined in the unit tests project, so they are not visible in the main library. To implement the AddContent method, let's use the dependency injection programming pattern. According to it, the parameter type of this method is abstract, it is two interfaces IPerson and ICDCatalog combined into a structure, which can be implemented depending on the needs. This approach allows separation of the specific data source, i.e. the place the data is created, from the place it is used.

The first examples to be analyzed are the Person and CDCatalog classes that have been defined in the 'TestDataGenerator' class. In this code snippet, we can observe that the CDCatalog class has a reference to an instance of the Person class to represent information about the author of the CD. It is a one-to-one relationship. The Person class, on the other hand, contains a representation of a set of albums released by a single author, so it has references to instances of the CDCatalog class. This time the relationship is one-to-many, so the references are available as an object that implements IEnumerable, and such an object can be used as a data source in a foreach statement and a LINQ expression.

Creating SQL Queries

As previously noted, all operations performed on the database must be described in a domain-specific language for the selected DBMS. Since we use a relational database in the example, its natural language is SQL, but we write the program in C#. Using three implementations of the same data preselecting algorithm, we will examine how to deal with this problem without using SQL directly.

The FilterPersonsByLastName_ForEach method uses the foreach statement and an internal if statement responsible for filtering the table contents according to the value of the method parameter. In the FilterPersonsByLastName_ForEachTest, the type of the returned object and the result of calling its ToString method are also examined in addition to the value returned by the method. As a result, we see that an instance of the generic List class is returned, with the type parameter of Person type. This is further proof that in this case, the result is a series of selected values, and therefore the result of the above-mentioned instructions. The consequence of such an implementation is the need to download all values from the Persons table to make locally a final decision about the selection of the data.

In the second test FilterPersonsByLastName_QuerySyntaxTest method, we examine the FilterPersonsByLastName_QuerySyntax method implementing the same algorithm but using the LINQ query expression. The test result is identical to the previous one. This time the returned object type of the method result is different, which again confirms that LINQ expressions return an object containing a representation of the expression, not its result. Of course, this statement is true as long as the environment manages to translate the program text into a form that allows such transformation to an object-oriented form.

In the FilterPersonsByLastName_MethodSyntaxTest method the result returned from the FilterPersonsByLastName_MethodSyntax method is examined. It implements the same filtering algorithm but is written using the method syntax of the LINQ expression. Again, the test result is identical to the previous one, and additionally, examining the type of the returned object gives the same result as before, which confirms that the result of using a LINQ expression is always the same regardless of the syntax used.

It is worth noting that the text returned from the ToString method for an object resulting from the operation of the tested methods using LINQ expressions resembles an SQL query. I saved this text to a separate file and added it below. Before being sent to the remote DBMS the current value of the method argument is added.

SELECT [t0].[Id], [t0].[FirstName], [t0].[LastName], [t0].[Age]
FROM [dbo].[Person] AS [t0]
WHERE [t0].[LastName] = @p0

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Let's try to explain this result. Using the "go to definition" shortcut of the context menu or the F12 keyboard key moves the view scope to the definition of the Where method. This method extends the IQueryable interface and is located in the static Queryable class of the .NET library. This class also contains all the other methods necessary to implement LINQ expressions using the method syntax. This is an important statement and is worth remembering to understand the answer to the asked question previously: what is a LINQ class expression and how does it differ from expressions that do not belong to this class? As I mentioned, this question was already asked but we will try to answer it again.

Based on the analysis of the program text, we conclude that Where is a method extending the IQueryable interface. The definition of this interface is empty, but the inheritance chain indicates that this interface also requires an implementation of the IEnumerable interface. So again we can say that we are dealing with a LINQ expression. Since we did not receive an SQL query previously, this does not explain the different behavior of the LINQ expression compared with the regular expression. The difference is the non-generic interface IQueryable - a member of the inheritance chain. Its definition shows that it requires the implementation of three getters, which are used by the .NET environment to translate the internal representation of a LINQ expression into its external SQL equivalent. Implementation of these properties-getters determines which language will be chosen as the target language (DSL).

Since a LINQ expression always looks the same - it has the same syntax regardless of the data source, the key question here is how to learn that it will be translated into a query of an external data repository and not executed locally on data residing in-process local memory. The answer should be sought by analyzing the origin of the definition of the return value used as a data source, i.e. after the word in or as the first operand in a LINQ expression written using method syntax, i.e. in the presented example, it is the value returned by Persons property. Going to the definition of this property, we can see that it returns the value of the generic type Table. Further analysis, the origin of the definition of this type leads to the Microsoft component System.Data.Linq. The definition of this type indicates that it implements the IQueryable interface. Since it is a component of LINQ to SQL technology, its implementation guarantees conversion to SQL queries.

Mapping

One more puzzle remains, namely the implementation of IQueryable in the Table type is responsible for converting the internal representation of the LINQ expression into an SQL query. Looking at the example and recovered SQL query, we see that the conversion operation can only be successful if it has some additional information, such as table name, column name, and data types in individual columns. In order not to change the programming language, the conversion operation to SQL must be performed dynamically, i.e. during program execution. Therefore, it is reasonable to ask: how to obtain this information, or rather recover it?

First, note that the Table type is generic. So let's analyze the type of its current parameter for the selected example, i.e. Person. Going to the definition of this class we see that it is preceded by the Table attribute. The answer is obvious - reflection, i.e. metadata is recovered from the definitions of auto-generated types using reflection mechanisms.

Reflection has already been discussed earlier, so you can remember if there are any doubts about its operation. This knowledge will be needed because the next test method ObjectRelationalMappingTest shows how the data needed for translation can be recovered in the implementation of the IQueryable interface.