{"title":"面向MOLAP的多维数组实现方案","authors":"T. Tsuji, Atsuo Isshiki, T. Hochin, K. Higuchi","doi":"10.1109/DEXA.2002.1045991","DOIUrl":null,"url":null,"abstract":"Multidimensional arrays used in MOLAP are often sparse. They also suffer from the problem that the time consumed in sequential access to array elements heavily depends on the dimension along which the elements are accessed. This problem would be alleviated by dividing the whole array into the set of the same sized smaller subarrays called \"chunks\". These chunks are also sparse and they are compressed. However these compressed chunks are usually arranged in the predetermined order of the dimensions. This would produce further dimension dependency in accessing array elements. In this paper, by introducing the notion of a \"chunk container\", we resolve the problem of this further dimension dependency.","PeriodicalId":254550,"journal":{"name":"Proceedings. 13th International Workshop on Database and Expert Systems Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An implementation scheme of multidimensional arrays for MOLAP\",\"authors\":\"T. Tsuji, Atsuo Isshiki, T. Hochin, K. Higuchi\",\"doi\":\"10.1109/DEXA.2002.1045991\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multidimensional arrays used in MOLAP are often sparse. They also suffer from the problem that the time consumed in sequential access to array elements heavily depends on the dimension along which the elements are accessed. This problem would be alleviated by dividing the whole array into the set of the same sized smaller subarrays called \\\"chunks\\\". These chunks are also sparse and they are compressed. However these compressed chunks are usually arranged in the predetermined order of the dimensions. This would produce further dimension dependency in accessing array elements. In this paper, by introducing the notion of a \\\"chunk container\\\", we resolve the problem of this further dimension dependency.\",\"PeriodicalId\":254550,\"journal\":{\"name\":\"Proceedings. 13th International Workshop on Database and Expert Systems Applications\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 13th International Workshop on Database and Expert Systems Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEXA.2002.1045991\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 13th International Workshop on Database and Expert Systems Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEXA.2002.1045991","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An implementation scheme of multidimensional arrays for MOLAP
Multidimensional arrays used in MOLAP are often sparse. They also suffer from the problem that the time consumed in sequential access to array elements heavily depends on the dimension along which the elements are accessed. This problem would be alleviated by dividing the whole array into the set of the same sized smaller subarrays called "chunks". These chunks are also sparse and they are compressed. However these compressed chunks are usually arranged in the predetermined order of the dimensions. This would produce further dimension dependency in accessing array elements. In this paper, by introducing the notion of a "chunk container", we resolve the problem of this further dimension dependency.