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http://127.0.0.1:10002/devstoreaccount1/Products
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The code in listing 12.4 will return all entities in the Products table and display the result in the console window.
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Listing 12.4 Listing the entities in the Products table using the REST API
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static void Main(string[] args) { HttpWebRequest hwr = CreateHttpRequest(new Uri(@"http://127.0.0.1:10002 /devstoreaccount1/Products"), "GET", new TimeSpan(0, 0, 30)); var storageAccount = CloudStorageAccount.Parse( ConfigurationManager .AppSettings["DataConnectionString"]); storageAccount.Credentials.SignRequestLite(hwr) using (StreamReader sr = new StreamReader( Executes request hwr.GetResponse() and displays output .GetResponseStream())) { XDocument myDocument = XDocument.Parse(sr.ReadToEnd()); Console.Write(myDocument.ToString()); } }
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q Specifies URI for request
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Sets up credentials and signs request
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The code in listing 12.4 is pretty much the same code as in listing 12.1 (which listed all the tables in a storage account). The only modification you need to make to that code is to change the URI for the HTTP request at q to the URI of the Products table.
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Working with the Table service REST API
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The REST API call that you used to list all product entities adheres to the AtomPub protocol, so the result that s returned to the console window will display the entities from the Products table in Atom XML format, as shown in the following listing.
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Listing 12.5 Atom XML output from the console application in listing 12.4
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<feed xml:base="http://127.0.0.1:10002/devstoreaccount1/" xmlns:d="http:// schemas .microsoft.com/ado/2007/08/dataservices" xmlns:m="http:// schemas.microsoft.com/ ado/2007/08/dataservices/metadata" xmlns="http://www.w3.org/2005/Atom"> <title type="text">Products</title> <id>http://127.0.0.1:10002/devstoreaccount1/Products</id> <updated>2009-08-01T11:23:48Z</updated> <link rel="self" title="Products" href="Products" /> <entry m:etag="W/"datetime'2009-07-23T19%3A55%3A38.7'""> <id>http://127.0.0.1:10002/devstoreaccount /Products(PartitionKey='Shirts',RowKey='BlueShirt')</id> <title type="text"></title> <updated>2009-08-01T11:23:48Z</updated> <author> <name /> </author> <link rel="edit" title="Products" href="Product(PartitionKey= 'Shirts',RowKey='BlueShirt')" /> <category term="AiA7Web_WebRole.Products" scheme="http://schemas. microsoft.com/ado/2007/08/dataservices/scheme" /> <content type="application/xml"> <m:properties> <d:Name>Blue Shirt</d:Name> <d:Description>A Blue Shirt</d:Description> <d:Timestamp m:type="Edm.DateTime">2009-07 23T19:55:38.7</d:Timestamp> <d:PartitionKey>Shirts</d:PartitionKey> <d:RowKey>BlueShirt</d:RowKey> </m:properties> </content> </entry> <entry m:etag="W/"datetime'2009-07-23T19%3A13%3A28.09'""> <id>http://127.0.0.1:10002/devstoreaccount 1/Products(PartitionKey='Shirts',RowKey='RedShirt') </id> <title type="text"></title> <updated>2009-08-01T11:23:48Z</updated> <author> <name /> </author> <link rel="edit" title="Products" href= "Product(PartitionKey='Shirts',RowKey='RedShirt')" /> <category term="AiA7Web_WebRole.Products" scheme="http://schemas.microsoft.com/ado /2007/08/dataservices/scheme" /> <content type="application/xml">
Querying data
<m:properties> <d:Name>red shirt</d:Name> <d:Description>a red shirt</d:Description> <d:Timestamp m:type="Edm.DateTime">2009-07 23T19:13:28.09</d:Timestamp> <d:PartitionKey>Shirts</d:PartitionKey> <d:RowKey>RedShirt</d:RowKey> </m:properties> </content> </entry> </feed>
The Atom XML output in listing 12.5 returns all entities stored in the Products table (RedShirt and BlueShirt). As you can see, the returned XML is very descriptive (and also verbose), including the name of the property, the value, and the data type. The verbosity of the returned XML means that the returned datasets are usually pretty large. You should be careful to cache data whenever possible and return the minimum amount of data required.
The verbosity of Atom XML
Hopefully, in the future, the Windows Azure Table service team will support a less verbose serialization format, such as JSON, and will also support local data shaping (explained later on in this section). JSON would be an ideal format to support because WCF Data Services (but not the Table service implementation) already supports this method of serialization. Using JSON would require few changes to your application code, but you d gain large benefits in terms of reduced bandwidth. The following code shows how the previously returned Atom XML could be represented in JSON:
Products: [ { "Name" : "blue shirt" "Description" : "a Blue Shirt" "Timestamp" : "2009-07-23T19:13:28.09" "PartitionKey" : "Shirts" "RowKey" : "BlueShirt"} }, { "Name" : "red shirt" "Description" : "A Blue Shirt" "Timestamp" : "2009-07-23T19:13:28.09" "PartitionKey" : "Shirts" "RowKey" : "RedShirt"} }, ]
As you can see, the JSON representation is much more readable and terse, meaning that the size of the returned documents would be greatly reduced and will therefore improve the speed of your application. Hopefully this will be supported in future versions of the Table service.
Working with the Table service REST API
12.5.2 Querying with LINQ
Because the Table service is implemented using ADO.NET Data Services, you can use the WCF Data Services client library to perform server-side queries using LINQ rather than querying the REST API directly. The following code shows how the Products table was exposed in the ProductContext class created in listing 11.2 (in chapter 11):
public DataServiceQuery<Product> Products { get{return CreateQuery<Product>("Products");} }
Rather than executing and returning a list of products from the Products table stored in the Table service, the Products property will generate and return a new query that won t be executed until the collection is enumerated. Because the execution of the DataServiceQuery is deferred, you can modify the returned query to include any filters that you may require prior to executing the query. Because DataServiceQuery implements the IQueryable interface, you can define the query that should be executed by the Table service in your application by using LINQ. The following code is a LINQ query that will return all the products in the Shirts partition of the Products table:
var shirts = from shirt in shirtContext.Products where shirt.PartitionKey == "Shirts" select shirt; foreach (var shirt in shirts) { }
In the preceding query, the Products property of shirtContext is IQueryable, so you can make this the data source of a LINQ query. Because the query won t be passed to the Table service for execution until the for loop is executed, you can add additional filter criteria to the query (such as restricting the returned data to only those shirts that reside in the Shirts partition). If you don t include the where criteria in the preceding LINQ statement, the underlying REST API that s executed would be the same as the call made in listing 12.4.
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