Levante - The Maserati Of SUVs
Why would I make such a proclamation? Ladies and gentlemen, Italian manufacturer Maserati is going to the dark side. Yes, that is correct. They are building an SUV. Simple鈥?Every other manufacturer in the world (almost) is doing it, and making huge profits while at it. Case in point, the Bentley Bentayga, which I previewed for you here. Other competitors are the venerable Porsche Cayenne and another newcomer, the Jaguar F-Pace. While details are scarce pending the official unveiling in Geneva, let me tell you what I can. There should be multiple engine choices. It looks like the base model will get the 3.0-liter V-6 from the Ghibli S sedan. This twin-turbo unit should provide something in the area of 404 hp, depending on tune. Expect a top of the line V-8 good for over 520 hp. A diesel option looks to be in the works, but this will not be available in the States for some time. Other details include an 8-speed automatic transmission and all-wheel drive, courtesy of Maserati鈥檚 鈥淨4鈥?system. The interior of the car will have the usual Italian style and luxury associated with current Maserati vehicles, albeit with some updated touches. The exterior also carries over themes seen on current Maserati sedans and coupes. Final judgement will have to wait until a test drive, but there is no doubt Maserati will sell as many of these 鈥渦tes鈥?as they can make.
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Suggester - a flexible "autocomplete" component. A common need in search applications is suggesting query terms or phrases based on incomplete user input. These completions may come from a dictionary that is based upon the main index or upon any other arbitrary dictionary. It's often useful to be able to provide only top-N suggestions, either ranked alphabetically or according to their usefulness for an average user (e.g. popularity, or the number of returned results). Contents1. Suggester - a flexible "autocomplete" component. Solr 3.1 includes a component called Suggester that provides this functionality. FSTLookup - automaton based representation; slower to build, but consumes far less memory at runtime (see performance notes below). WFSTLookup - weighted automaton representation: an alternative to FSTLookup for more fine-grained ranking. For practical purposes all of the above implementations will most likely run at similar speed when requests are made via the HTTP stack (which will become the bottleneck). Direct benchmarks of these classes indicate that (W)FSTLookup provides better performance compared to the other two methods, at a much lower memory cost.
JaspellLookup can provide "fuzzy" suggestions, though this functionality is not currently exposed (it's a one line change in JaspellLookup). Support for infix-suggestions is planned for FSTLookup (which would be the only structure to support these). An example of an autosuggest request: http://localhost:8983/solr/suggest? The configuration snippet above shows a few common configuration parameters. Impl - Lookup implementation. JaspellLookupFactory - a more complex lookup based on a ternary trie from the JaSpell project. OnCommit - if set to true then the Lookup data structure will be rebuilt after commit. NOTE: currently implemented Lookup-s keep their data in memory, so unlike spellchecker data this data is discarded on core reload and not available until you invoke the build command, either explicitly or implicitly via commit. Location - location of the dictionary file. If not empty then this is a path to a dictionary file (see below). If this value is empty then the main index will be used as a source of terms and weights.