通过使用 AWS SDK for .NET 对象持久化模型的 DynamoDB 映射任意数据 - Amazon DynamoDB

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通过使用 AWS SDK for .NET 对象持久化模型的 DynamoDB 映射任意数据

除支持的 NET 类型(请参阅支持的 数据类型)外,您还可以使用应用程序中不能直接映射到 Amazon DynamoDB 类型的类型。只要您提供转换器将数据从任意类型转换为 DynamoDB 类型,反之亦然,对象持久化模型支持存储任意类型的数据。转换器代码在保存和加载对象期间转换数据。

您可以在客户端创建任何类型。但是,表中存储的数据是 DynamoDB 类型之一,在查询和扫描期间,所做的任何数据比较都与 DynamoDB 中存储的数据进行。

下面的 C# 代码示例定义了具有 IdTitleISBNDimension 属性的 Book 类。Dimension 属性是描述 HeightWidthThickness 属性的 DimensionType。示例代码提供了转换器方法 ToEntryFromEntry,在 DimensionType 和 DynamoDB 字符串类型之间转换数据。例如,保存Book实例时,转换器会创建一本书 Dimension 字符串,例如“8.5x11x.05”。当您检索书籍时,它会将字符串转换为DimensionType实例。

该示例将Book类型映射到ProductCatalog表。它保存了一个样本Book实例,检索它,更新其维度,并保存更新后的Book

有关测试以下示例的 step-by-step 说明,请参阅.NET 代码示例

using System; using System.Collections.Generic; using Amazon.DynamoDBv2; using Amazon.DynamoDBv2.DataModel; using Amazon.DynamoDBv2.DocumentModel; using Amazon.Runtime; using Amazon.SecurityToken; namespace com.amazonaws.codesamples { class HighLevelMappingArbitraryData { private static AmazonDynamoDBClient client = new AmazonDynamoDBClient(); static void Main(string[] args) { try { DynamoDBContext context = new DynamoDBContext(client); // 1. Create a book. DimensionType myBookDimensions = new DimensionType() { Length = 8M, Height = 11M, Thickness = 0.5M }; Book myBook = new Book { Id = 501, Title = "AWS SDK for .NET Object Persistence Model Handling Arbitrary Data", ISBN = "999-9999999999", BookAuthors = new List<string> { "Author 1", "Author 2" }, Dimensions = myBookDimensions }; context.Save(myBook); // 2. Retrieve the book. Book bookRetrieved = context.Load<Book>(501); // 3. Update property (book dimensions). bookRetrieved.Dimensions.Height += 1; bookRetrieved.Dimensions.Length += 1; bookRetrieved.Dimensions.Thickness += 0.2M; // Update the book. context.Save(bookRetrieved); Console.WriteLine("To continue, press Enter"); Console.ReadLine(); } catch (AmazonDynamoDBException e) { Console.WriteLine(e.Message); } catch (AmazonServiceException e) { Console.WriteLine(e.Message); } catch (Exception e) { Console.WriteLine(e.Message); } } } [DynamoDBTable("ProductCatalog")] public class Book { [DynamoDBHashKey] //Partition key public int Id { get; set; } [DynamoDBProperty] public string Title { get; set; } [DynamoDBProperty] public string ISBN { get; set; } // Multi-valued (set type) attribute. [DynamoDBProperty("Authors")] public List<string> BookAuthors { get; set; } // Arbitrary type, with a converter to map it to DynamoDB type. [DynamoDBProperty(typeof(DimensionTypeConverter))] public DimensionType Dimensions { get; set; } } public class DimensionType { public decimal Length { get; set; } public decimal Height { get; set; } public decimal Thickness { get; set; } } // Converts the complex type DimensionType to string and vice-versa. public class DimensionTypeConverter : IPropertyConverter { public DynamoDBEntry ToEntry(object value) { DimensionType bookDimensions = value as DimensionType; if (bookDimensions == null) throw new ArgumentOutOfRangeException(); string data = string.Format("{1}{0}{2}{0}{3}", " x ", bookDimensions.Length, bookDimensions.Height, bookDimensions.Thickness); DynamoDBEntry entry = new Primitive { Value = data }; return entry; } public object FromEntry(DynamoDBEntry entry) { Primitive primitive = entry as Primitive; if (primitive == null || !(primitive.Value is String) || string.IsNullOrEmpty((string)primitive.Value)) throw new ArgumentOutOfRangeException(); string[] data = ((string)(primitive.Value)).Split(new string[] { " x " }, StringSplitOptions.None); if (data.Length != 3) throw new ArgumentOutOfRangeException(); DimensionType complexData = new DimensionType { Length = Convert.ToDecimal(data[0]), Height = Convert.ToDecimal(data[1]), Thickness = Convert.ToDecimal(data[2]) }; return complexData; } } }