sharepoint 2013 logoRecently, I encountered an issue with SharePoint 2013 search crawls where .pdf files smaller than 1 MB reported a warning: “The item has been truncated in the index because it exceeds the maximum size”. The default MaxDownLoadSize for documents in SharePoint is 64MB, which was more than enough the handle these relatively small .pdf files.

After I reached out to some co-workers; one suggested that the error might be a false-positive and the entire document had been crawled. I tested this by first searching for words at the end of the document and no matches were found; this would be expected if it were truncated. Next, I tried searching for text in the middle of the document, no matches were found either. I thought it must have truncated a lot of text and tried searching for text contained at the very beginning of the document. No results were found! So when the warning said it truncated the item, it had truncated the whole document. Read More…

This week, many AIS team members attended the Microsoft SharePoint Conference in Las Vegas, Nevada. We’ll be posting blog posts from each of them as they learn what’s new and what’s exciting during sessions, demonstrations and other conference highlights.

The changes made to SharePoint Search in SharePoint 2013 are too numerous to describe in a single blog post, but I’ll try to provide an overview of some of the major improvements ,with the intent of emphasizing the central role played by search in the new platform. Our future solution architectures for applications will likely have search as a key design consideration. The search-related sessions that I attended at SPC 2012 were well filled to capacity, so there does seem to be a great interest in the future to SharePoint Search.

In his session on building search-driven applications, Scot Hillier made the point that we should no longer think of search in the limited scope of what occurs when a user types in a search term in a search box and the corresponding results that appear. Rather, we should think of search as a data access technology, in the same vein as CAML, REST and CSOM. In fact, he went as far as to say that search is the data access technology because, as he put it, “Search knows where all the skeletons are buried.”

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