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LINQ to SQL addresses this issue in the generated SQL very effectively by always parameterizing inputs A malicious user can try to provide input laced with commands, but the input will not get blindly concatenated into the SQL string It will be left as a parameter, and the database will only treat it as a nonexecutable parameter Although most SQL users know about the threat of SQL injection and take steps to avoid string concatenation to build a command, LINQ to SQL does a more effective job of avoiding such concatenation It provides a degree of additional security by ensuring that this basic principle is followed consistently Beyond thwarting SQL injection, restricting access to sensitive data or operations is another key security objective If you use stored procedures or functions in your database, LINQ to SQL can use them to retrieve and save objects We will discuss stored procedure support in depth in 10, Using Stored Procedures and Database Functions with LINQ to SQL For this discussion, remember that you can use ne-grained access control in the database with views, stored procedures, and functions just as effectively with LINQ to SQL as you do with plain SQL Finally, LINQ to SQL relies on the connection string for access to databases, just like the underlying ADONET relational APIs If you use integrated security, the amount of sensitive data should be minimal But if you do not use integrated security, it is important to protect the user ID and password used in the connection string Typically such information is stored in a con guration le that is carefully secured All precautions used or also apply to for connection string information with LINQ to SQL
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Put the query results in a collection if you plan to enumerate them multiple times Use compiled queries wherever possible for queries that are executed often Although LINQ to SQL addresses SQL injection, you need to secure a connection string to protect any secrets, such as userid and password
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8: Reading Obje cts with LINQ to SQL
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Summary
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This chapter covered the details of reading objects with LINQ to SQL LINQ queries are translated into SQL using mapping information for classes and relationships between classes Mapped classes can be used to retrieve entities or projections Relationships can be expressed as mapped properties that can be navigated using the dot or through joins The target of a relationship can be loaded lazily or eagerly Like relationships, inheritance is also supported by LINQ to SQL for a class hierarchy mapped to a table The distinction between a query with deferred execution and a cached result is a key to understanding the performance implications Query performance can be signi cantly boosted by using compiled queries, which can be effectively cached in a web application Finally, LINQ to SQL exclusively uses parameters to avoid SQL injection attacks Thus, LINQ to SQL is a high-performance tool that provides a rich and relatively secure way to read objects from a database
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of all LINQ components, as the name Language Integrated Query suggests However, applications that use relational data as objects need to go beyond querying by making changes to the retrieved objects and saving them back to the database LINQ to SQL complements the LINQ query pattern with a simple API to modify and save objects Relational databases use SQL commands to insert, update, and delete rows The LINQ pattern currently does not cover such commands because they are very speci c to the relational domain Furthermore, for most applications, it is more natural and ef cient to work with objects and in-memory collections to modify objects until all the changes are done Then they can be submitted to the database for insert, update, and delete operations Hence, LINQ to SQL follows this approach by letting users modify their objects as they wish and then executing SQL commands for all the changes in one batch This approach preserves the normal way of handling objects in the program and allows the developer to decide exactly when the changes are made persistent in the database This chapter starts with the foundational concept of creating new entity instances in the database and modifying or deleting existing instances from
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