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Architecture
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Before we delve into the components that we, as developers, are most likely to use to meet the specific requirements of our application, let s take a brief look at how enterprise search works in SharePoint Every search solution has three main elements: the front end web server, query architecture, and crawl architecture In that respect, SharePoint 2010 is not
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PART IV
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remarkably different from MOSS 2007 However, as you ll see when we drill down a bit, the way in which these three elements are implemented by SharePoint Server 2010 offers a higher degree of flexibility The first element in which most of our development work will be done is the front-end web server The web server acts as the presentation layer for our search solution and hosts the pages and controls that will be used to capture queries and display results The next element in the solution is the query architecture, which consists of one or more query servers, each responsible for directly servicing all or part of a search query This is the business logic layer of our search solution The final element is the crawl architecture While the query architecture is responsible for servicing end user queries, the crawl architecture is responsible for scanning connected data sources and producing indexes of the content found In addition to producing the index, the crawl architecture also generates a properties database As you ll see when we get into how queries are executed, there s a big difference between the index file and the property database
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Within MOSS 2007, although enterprise search was capable of supporting a large corpus and tens of thousands of users, the overall topology suffered a few problems For example, each shared service provider could use only a single index server Notwithstanding the hardware requirements for this single server on very large farms, this was a major issue because the index server became a single point of failure Another major drawback was the physical size of the index files Although this was somewhat mitigated by using a number of smaller shadow index files, ultimately all the index files had to be merged into a single master file, and the master file had to be present on all query servers in the farm The physical hardware required to support this was significant With SharePoint 2010, these problems have been addressed by subdividing the query architecture and the crawl architecture into a number of smaller, more scalable components For example, rather than a single index server, SharePoint 2010 introduces the concept of a crawl component Using crawl components, you can add multiple index servers to a farm, each running one or more crawl components
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Indexing Components
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Now that you understand how an enterprise search solution is implemented using SharePoint Server 2010, let s look at some of the configurable components starting with how the crawl architecture can be extended by adding indexing components
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Search Connector Framework
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From our perspective as software developers, one of the most significant aspects of the crawl architecture is the Search Connector Framework, the preferred mechanism used by the crawler component when accessing data to be indexed The Search Connector Framework should be familiar to you at this point in the book, since it s based on Business Connectivity Services (BCS), covered in 15 A number of different properties can be attached to Business Data Connectivity (BDC) metadata when you re creating a search connector At a minimum, however, the following additions need to be made to configure a search connector properly
16
Enterprise Search
First, to make sure that the BDC adaptor is visible in the Search user interface, the ShowInSearchUI property must be set on the LobSystemInstance object 1 In the BDC Explorer pane, select the LobSystemInstances node for the model, and then click the ellipsis next to Custom Properties in the Properties window, as shown:
2 In the Property Editor, add a new property named ShowInSearchUI with a Type of System String and a Value of x, as shown:
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