{"title":"外部索引数据结构","authors":"Iliya Tronkov","doi":"10.1109/AQTR.2014.6857846","DOIUrl":null,"url":null,"abstract":"W-tree is a natural generalization of B<sup>+</sup>-tree. Operations in B<sup>+</sup>-tree are executed synchronously (one by one), while in W-tree, operations are executed asynchronously (in groups). When an operation enters B<sup>+</sup>-tree it ”sinks” up to its respective leaf. When an operation enters W-tree, it ”stops” in the first node which is not overloaded. Operations in W-tree accumulate in its internal nodes. When a certain internal node overloads with operations, the branch with the greatest number of operations adjacent to it is selected and they are ”poured down” the tree. The W-tree data structure solves the problem of speed degradation when indexing records with random keys.","PeriodicalId":297141,"journal":{"name":"2014 IEEE International Conference on Automation, Quality and Testing, Robotics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"WaterfallTree — External indexing data structure\",\"authors\":\"Iliya Tronkov\",\"doi\":\"10.1109/AQTR.2014.6857846\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"W-tree is a natural generalization of B<sup>+</sup>-tree. Operations in B<sup>+</sup>-tree are executed synchronously (one by one), while in W-tree, operations are executed asynchronously (in groups). When an operation enters B<sup>+</sup>-tree it ”sinks” up to its respective leaf. When an operation enters W-tree, it ”stops” in the first node which is not overloaded. Operations in W-tree accumulate in its internal nodes. When a certain internal node overloads with operations, the branch with the greatest number of operations adjacent to it is selected and they are ”poured down” the tree. The W-tree data structure solves the problem of speed degradation when indexing records with random keys.\",\"PeriodicalId\":297141,\"journal\":{\"name\":\"2014 IEEE International Conference on Automation, Quality and Testing, Robotics\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Automation, Quality and Testing, Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AQTR.2014.6857846\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Automation, Quality and Testing, Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AQTR.2014.6857846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
W-tree is a natural generalization of B+-tree. Operations in B+-tree are executed synchronously (one by one), while in W-tree, operations are executed asynchronously (in groups). When an operation enters B+-tree it ”sinks” up to its respective leaf. When an operation enters W-tree, it ”stops” in the first node which is not overloaded. Operations in W-tree accumulate in its internal nodes. When a certain internal node overloads with operations, the branch with the greatest number of operations adjacent to it is selected and they are ”poured down” the tree. The W-tree data structure solves the problem of speed degradation when indexing records with random keys.