Windows Azure Storage Extensions is a .NET library aimed at managing and querying entities from Azure Storage Tables.
It's built on top of the Azure .NET SDK, provides async interfaces (Task-based Asynchronous Pattern) and LINQ to Azure Table queries via TableSet
context by using POCO entities.
POCO properties and fields should be marked by one or both of PartitionKey
and RowKey
attributes for defining composite table key. Also can be used Timestamp
, ETag
, Property
and Ignore
attributes.
Fluent mapping is the namesake mapping style that we use as an alternative to the AttributeMapping. It's a fluent interface that allows you to map your entities completely in code, with all the compile-time safety and refactorability that brings.
EntityTypeMap
class is the basis of all your mappings, you derive from this to map anything.
public class AddressMap : EntityTypeMap<Address>
{
public AddressMap()
{
this.PartitionKey(p => p.CountryCode)
.RowKey(p => p.Id)
.Ignore(p => c.Country);
}
}
You map your entities properties inside the constructor.
Syntax note: Every mapping inside a
EntityTypeMap
is built using lambda expressions, which allow us to reference the properties on your entities without sacrificing compile-time safety. The lambdas typically take the form ofx => x.Property
. Thex
on the left is the parameter declaration, which will implicitly be of the same type as the entity being mapped, while thex.Property
is accessing a property on your entity (coincidentally called "Property" in this case).
Once you've declared your EntityTypeMap
you're going to need to map the properties on your entity. There are several methods available that map your properties in different ways, and each one of those is a chainable method that you can use to customise the individual mapping.
Every mapping requires an PartitionKey
and RowKey
of some kind.
The PartitionKey is mapped using the PartitionKey
method, which takes a lambda expression that accesses the property on your entity that will be used for the PartitionKey.
PartitionKey(x => x.MyPartitionKeyProperty);
The PartitionKey is mapped using the RowKey
method, which takes a lambda expression that accesses the property on your entity that will be used for the PartitionKey.
RowKey(x => x.MyRowKeyProperty);
If you need to ignore a property by using the Ignore
method, which takes a lambda expression that accesses the property on your entity that will ignored by the serializer.
Ignore(x => x.MyPropertyToIgnore);
The ETag
property is mapped using the methods ETag
, which takes a lambda expression that accesses the property on your entity that will be mapped.
ETag(x => x.MyETagProperty);
The Timestamp
property is mapped using the methods Timestamp
, which takes a lambda expression that accesses the property on your entity that will be mapped.
Timestamp(x => x.MyTimestampProperty);
The TableEntityConverter
class will try to find the mapping classes for your entities on the same assembly of the entitie, if you are using a different assembly for mappings classes you'll need to register this assembly by using the RegisterAssembly
method from class EntityTypeMap
. ATTENTION: this method just need to be called once and before instantiating the TableSet
class. Below there is a sample of how we call the
EntityTypeMap.RegisterAssembly(typeof(MyEntity).Assembly)
###Entities Management
Generic TableSet
context provides a synchronous & asynchronous (TAP) methods for managing entities:
- Synchronous: Add, AddOrUpdate, Update and Remove.
- Asynchronous: AddAsync, AddOrUpdateAsync, UpdateAsync and RemoveAsync.
To avoid restrictions of group operations in Azure Storage all entities sorted by partition keys and merged into groups by 100 entities. Execution of requests with such batch operations can be configured via TableSet's ExecutionMode
property. Allowed values:
- Sequential
- Parallel
Default ExecutionMode is Sequential.
###LINQ Queries
TableSet
context implements IQueryable
interface for using LINQ Expressions. Provider supports next synchronous LINQ methods:
- First
- FirstOrDefault
- Single
- SingleOrDefault
- Take
- Where
To utilize filtering capabilities of string properties it supports:
Also you can use Contains method. In this case query statement for each collection's item will be joined by using OData or operator.
NOTE: For creating a custom queries you should take a look at next article: Mixing LINQ Providers and LINQ to Objects.
###Asynchronous LINQ Queries
In addition TableSet
can be used for asynchronous queries powered by LINQ extensions (TAP) in EF 6 Async style.
Available methods:
- FirstAsync
- FirstOrDefaultAsync
- SingleAsync
- SingleOrDefaultAsync
- TakeAsync
- ToListAsync
###LINQ Projections
LINQ Projections supported with a limitation - projection class should be a reference type.
###TAP-based Extensions
Library contains TAP-based extensions for following Azure Storage Library classes:
- CloudBlobClient
- CloudBlobContainer
- CloudTableClient
- CloudTable
To use it just add Async postfix to synchronous method name for instance:
blobs = cloudBlobContainer.ListBlobs();
blobs = await cloudBlobContainer.ListBlobsAsync();
###Task Cancellation
All of TAP-based methods accepts optional CancellationToken
parameter for Task Cancellation.
To install library by using Windows Azure Storage Extensions nuget package execute next command:
Install-Package WindowsAzure.StorageExtensions
To get the source code of the library via git just type:
git clone git://github.com/dtretyakov/WindowsAzure.git
cd ./WindowsAzure
Storage Extensions requires .NET Framework 4.0 or higher and WindowsAzure.Storage nuget package.
- Declaring a new POCO class and using attribute mapping:
public sealed class Country
{
[PartitionKey]
public string Continent { get; set; }
[RowKey]
public string Name { get; set; }
public long Population { get; set; }
public double Area { get; set; }
public DateTime Formed { get; set; }
}
- Declaring a new POCO class and using fluent mapping:
public sealed class Country
{
public string Continent { get; set; }
public string Name { get; set; }
public long Population { get; set; }
public double Area { get; set; }
public DateTime Formed { get; set; }
}
public class CountryMapping : WindowsAzure.Table.EntityConverters.TypeData.EntityTypeMap<Country>
{
public CountryMapping() {
this.PartitionKey(p => p.Continent)
.RowKey(p => p.Name);
}
}
- Creating a new table context:
var storageAccount = CloudStorageAccount.DevelopmentStorageAccount;
var tableClient = storageAccount.CreateCloudTableClient();
var countryTable = new TableSet<Country>(tableClient);
- Adding a new entity:
var resultSync = countryTable.Add(country);
var resultAsync = await countryTable.AddAsync(country);
- Updating an entity:
resultSync.Area += 333333;
resultSync = countryTable.Update(resultSync);
resultAsync.Population *= 2;
resultAsync = await countryTable.UpdateAsync(resultAsync);
- Removing entities:
countryTable.Remove(resultSync);
await countryTable.RemoveAsync(resultAsync);
- Querying entities:
var query = countryTable.Where(
p => p.Formed > new DateTime(1950, 1, 1) &&
(p.PresidentsCount < 10 ||
p.Population < 10000000 && p.PresidentsCount > 10 && p.IsExists));
resultsSync = query.ToList();
resultsAsync = await query.ToListAsync();
- Using LINQ projections:
var projection = from country in countryTable
where country.Area > 400000
select new { country.Continent, country.Name };
var result = projection.ToList();
result = await projection.ToListAsync();
- Using Contains in the LINQ query:
var countryNames = new List<string> { "Germany", "Finland" };
var countries = countryTable.Where(p => countryNames.Contains(p.Name)).ToList();
Great thanks to all of projects contributors.
- Dmitry Tretyakov for project idea.
- Timothy Makarov for performance optimizations.
- Gabriel Marquez for Fluent API mapping.
- Sebastian Betzin for additional TableSet methods.
- Tom Dietrich for his contributions.
- And Community for a valuable feedback.
See complete list of project contributors.
We appreciate all kinds of feedback, so please feel free to send a PR or write an issue.