9. Integrating with Other Technologies | ServiceStack 4 Cookbook

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Table Of Contents

ServiceStack 4 Cookbook

By : Hodgson

4.7 (3)

ServiceStack 4 Cookbook

4.7 (3)

By: Hodgson

Overview of this book

If you are a .NET developer who is looking for a simpler way to build services, this is the book for you. It will show you how to write fast, maintainable APIs that are a pleasure to use and maintain starting from the database to the client and everything in-between.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Sections

Conventions

Reader feedback

Customer support

Free Chapter

1. Configuration and Routing

1. Configuration and Routing

Introduction

Up and running with ServiceStack

Routing using data transfer object attributes

Isolating web service routes from a web application

Common ServiceStack plugins

Writing a custom audit plugin

Adding Routes via the API

Structuring your project to avoid dependency issues

Managing dependencies with Funq and Inversion of Control (IoC)

Sharing and accessing configuration and common functionality using Funq IoC

2. Services and Data Transfer Objects

2. Services and Data Transfer Objects

Introduction

Creating a basic create/read/update/delete service

Splitting HTTP request methods

Hosting services from different assemblies

Utilizing the original HTTP request

Overriding serialization of request object types

Creating a simple admin service

Intercepting requests and responses using attributes

Making a basic proxy for existing web services

Wrapping multiple existing services and exposing them through ServiceStack

3. Testing and Logging

3. Testing and Logging

Introduction

Unit testing ServiceStack applications

Integration testing with the ServiceStack C# client

Functional contract testing ServiceStack services

Accessing the request-and-response object with the JsonServiceClient

Continuous Integration with TeamCity and self-hosted services

Logging with a choice of frameworks

Writing a logger to monitor exceptions via e-mail

4. Object Relational Mapping (OrmLite)

4. Object Relational Mapping (OrmLite)

Introduction

Modeling your database with types and attributes

Using and accessing OrmLite

Using OrmLite filters to create audit functionality

CRUD and other common operations

Utilizing stored procedures using OrmLite

Mapping custom queries to POCOs

Starting with an existing database with OrmLite and T4 templates

Working with Entity Framework and ServiceStack

5. HTML and Form Data

5. HTML and Form Data

Introduction

Getting started with ServiceStack and Razor templates

Using Markdown for website content

Handling file uploads and streaming data from services

Overriding Razor views or templates using attributes

Creating and displaying a login and registration page based on authentication

Submitting a form to a service and handling server-side validation on an HTML client

6. Filters and Validators

6. Filters and Validators

Introduction

Creating static validation rules using fluent syntax

Returning meaningful HTTP error messages

Adding custom headers via the response filter

Restricting file uploads by type using filters

Creating a user-configurable HTTP callback service using a response filter

Applying a rate limit to a web service endpoint using request filter

Restrict user actions by session details using a validator

Common HTTP status codes

7. Security and Authentication

7. Security and Authentication

Introduction

Getting started with authentication, sessions, registration, and user repositories

Getting started with Twitter authentication

Getting started with Google authentication

Getting started with Facebook authentication

Using multiple authentication providers and persisting a user's preferred profile image

Handling password resets for credential-based authentication

Accessing Windows identity information from ServiceStack for an intranet application

Validating password complexity with a custom registration validator

Migrating users from another system by overriding ServiceStack's credential-based authentication

Writing your own OpenID authentication provider

8. Working with Redis

8. Working with Redis

Introduction

Getting started with ServiceStack.Redis

Using Redis as a cache with the ServiceStack client

Using ServiceStack.Redis for publish/subscribe

Using the ServiceStack.Redis client to access a Redis list

Using Redis hash data structures in ServiceStack

Using Redis Set data structures in ServiceStack

Using typed data structures with ServiceStack and Redis

Scripting Redis with Lua

9. Integrating with Other Technologies

9. Integrating with Other Technologies

Introduction

Integrating with ServiceStack using the C# client and Native Types

Using ServiceStack with WebForms applications

Using ServiceStack with ASP.NET/MVC applications

Broadcasting ServiceStack services with SignalR hubs

Using ServiceStack with MongoDB

Using ServiceStack with Elasticsearch

Working with ServiceStack and AngularJS resources

A. Getting Started

Creating a ServiceStack solution with Visual Studio and NuGet

Integrating NUnit

B. Testing Locally

B. Testing Locally

Testing external service callbacks locally using Fiddler2 and IIS Express

Index

Index

Using ServiceStack with MongoDB

Inarguably the most popular of the NoSQL databases, MongoDB is fast, reliable, commercially supported, enterprise friendly, and widely considered to be scalable in a web context. Perhaps the biggest secret to its popularity, however, is just how easy it is to get started. Unlike its cousin the Relational Database Management System (RDBMS), when using MongoDB, one can simply store an object as in a collection of objects—no normalization, no entity diagrams, and no formal object relational mapping is required.

MongoDB is in a family of NoSQL databases referred to as a document store. Document stores build on the foundations of a key-value store that simply allow a developer to retrieve values based on a key—document stores commonly add the ability to search through documents for a particular document. For instance, if we had a collection called inventory in our MongoDB database, we could search it for "snacks" items with the following simple query:

db.inventory...

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