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Strictly speaking, only child pointers are truly necessary in this design, but quite often databases also maintain additional neighbour pointers, e.g. what you can see on the Fig. 2 between the leaf nodes. Having all this in place one can perform a search query by following the path marked red on the Fig. 2, first hitting the root, finding a proper separator  [http://xudalva191.loxblog.com/post/2/Answers%20just%20about%20The%20Departure%20Between.htm speed index google pagespeed] key, following a downlink and landing on a correct page where we deploy binary [https://penmaster.ru/user/GeneCorser10/ speedyindex google search] to find the resulting key.<br><br><br> Related: also see Conversions and Translation Tools on this page. We can see what does it change in the optimization section. And already at this pretty much basic point we already can see some interesting trade-offs. For  [http://oldwiki.bedlamtheatre.co.uk/index.php/The_Argument_About_Fast_Indexing_Of_Links speed up indexing windows 10] example there is one dynamic aspect of much importance (quite often it even scares developers like a nightmare), namely page splits. We’ve spent so much time talking about page splits and their importance. No one wants to end [https://txtscope.ru/user/GeraldSansom/ speed up search indexing] with concurrency issues when pages get updated while in the middle of a split, so a page to be split is write-locked as well as e.g. right sibling to update left-link if present. With IndexCheckr, you can easily monitor your indexed pages to make sure they haven’t been deindexed for any reason. Having this in mind hopefully you understand that if we want to make a survey, the first step would be to establish some classification. 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Not only this will help us to structure the material, but also will explain why on earth anyone would need to invent so many variations of what we though was so simple! By adding periodic rebuilding of the tree, we obtain a data structure that is theoreticaly superior to standard B-trees in many ways. Once the crawlers collect information from a web page, the data is parsed. We need to bring in a new page, move elements around and everything should be consistent and correctly locked. Not only Lehman-Yao version adds a link to the neighbour, it also introduces a "high key" to each page, which is an upper bound on the keys that are allowed on page.<br><br><br> Every node of this tree is usually a page of some certain size and contains keys (shaded slices of a node) and pointers to other nodes (empty slices with arrows).  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