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As with Row Data Gateway (152) the decision regarding Table Data Gateway is first whether to use a Gateway (466) approach at all and then which one
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I find that Table Data Gateway is probably the simplest database interface pattern to use, as it maps so nicely onto a database table or record type It also makes a natural point to encapsulate the precise access logic of the data source I use it least with Domain Model (116) because I find that Data Mapper (165) gives a better isolation between the Domain Model (116) and the database
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Table Data Gateway works particularly well with Table Module (125), where it produces a record set data structure for the Table Module (125) to work on Indeed, I can't really imagine any other database-mapping approach for Table Module (125)
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Just like Row Data Gateway (152), Table Data Gateway is very suitable for Transaction Scripts (110) The choice between the two really boils down to how they deal with multiple rows of data Many people like using a Data Transfer Object (401), but that seems to me like more work than is worthwhile, unless the same Data Transfer Object (401) is used elsewhere I prefer Table Data Gateway when the result set representation is convenient for the Transaction Script (110) to work with
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Interestingly, it often makes sense to have the Data Mappers (165) talk to the database via Table Data Gateways Although this isn't useful when everything is handcoded, it can be very effective if you want to use metadata for the Table Data Gateways but prefer handcoding for the actual mapping to the domain objects
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One of the benefits of using a Table Data Gateway to encapsulate database access is that the same interface can work both for using SQL to manipulate the database and for using stored procedures Indeed, stored procedures themselves are often organized as Table Data Gateways That way the insert and update stored procedures encapsulate the actual table structure The find procedures in this case can return views, which helps to hide the underlying table structure
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[Alur et al] discusses the Data Access Object pattern, which is a Table Data Gateway They show returning a collection of Data Transfer Objects (401) on the query methods It's not clear whether they see this pattern as always being table based; the intent and discussion seems to imply either Table Data Gateway or Row Data Gateway (152)
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I've used a different name, partly because I see this pattern as a particular usage of the more general Gateway (466) concept and I want the pattern name to reflect that Also, the term Data Access Object and its abbreviation DAO has its own particular meaning within the Microsoft world
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Example: Person Gateway (C#)
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Table Data Gateway is the usual form of database access in the windows world, so it makes sense to illustrate one with C# I have to stress, however, that this classic form of Table Data Gateway doesn't quite fit in the NET environment since it doesn't take advantage of the ADONET data set; instead, it uses the data reader, which is a cursor-like interface to database records The data reader is the right choice for manipulating larger amounts of information when you don't want to bring everything into memory in one go
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For the example I'm using a Person Gateway class that connects to a person table in a database The Person Gateway contains the finder code, returning ADONET's data reader to access the returned data
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class PersonGateway public IDataReader FindAll() { String sql = "select * from person"; return new OleDbCommand(sql, DBConnection)ExecuteReader(); } public IDataReader FindWithLastName(String lastName) { String sql = "SELECT * FROM person WHERE lastname = "; IDbCommand comm = new OleDbCommand(sql, DBConnection); commParametersAdd(new OleDbParameter("lastname", lastName)); return commExecuteReader(); } public IDataReader FindWhere(String whereClause) { String sql = StringFormat("select * from person where {0}", whereClause); return new OleDbCommand(sql, DBConnection)ExecuteReader(); }
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Almost always you'll want to pull back a bunch of rows with a reader On a rare occasion you might want to get hold of an individual row of data with a method along these lines:
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