Pub Date : 1998-02-23DOI: 10.1109/ICDE.1998.655758
D. Gawlick
There is an ever growing interest in messaging and queuing technology; one needs only to look at the many new products that have been made available within the last few years. Oracle's approach is unique since it represents the only product that offers messaging and queuing fully integrated into a database server, Oracle8/sup TM/.
{"title":"Messaging/queuing in Oracle8/sup TM/","authors":"D. Gawlick","doi":"10.1109/ICDE.1998.655758","DOIUrl":"https://doi.org/10.1109/ICDE.1998.655758","url":null,"abstract":"There is an ever growing interest in messaging and queuing technology; one needs only to look at the many new products that have been made available within the last few years. Oracle's approach is unique since it represents the only product that offers messaging and queuing fully integrated into a database server, Oracle8/sup TM/.","PeriodicalId":264926,"journal":{"name":"Proceedings 14th International Conference on Data Engineering","volume":"363 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125816779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1998-02-23DOI: 10.1109/ICDE.1998.655762
D. Lieuwen
Database programming languages (DBPLs), fourth generation languages (4GLs) and embedded SQL all include the ability to iterate sequentially through a set/relation. Nested iterators can be used to express joins. Without program analysis, such joins must be evaluated using a tuple-at-a-time join algorithm at a central site, otherwise program semantics may be violated. This paper's analysis often allows parallel join algorithms to be used. Also, this paper's compile-time optimizations can produce better parallel code than a straightforward parallelization of the nested iterators. The transformations allow the compiler to identify parallelization opportunities that it could not detect in the original code. These techniques are important for aiding the migration from hand-optimized code on a sequential machine to system-optimized code on a parallel machine. Without such rewrites, moving to a parallel system may produce only meager performance improvements when porting legacy systems.
{"title":"Parallelizing loops in database programming languages","authors":"D. Lieuwen","doi":"10.1109/ICDE.1998.655762","DOIUrl":"https://doi.org/10.1109/ICDE.1998.655762","url":null,"abstract":"Database programming languages (DBPLs), fourth generation languages (4GLs) and embedded SQL all include the ability to iterate sequentially through a set/relation. Nested iterators can be used to express joins. Without program analysis, such joins must be evaluated using a tuple-at-a-time join algorithm at a central site, otherwise program semantics may be violated. This paper's analysis often allows parallel join algorithms to be used. Also, this paper's compile-time optimizations can produce better parallel code than a straightforward parallelization of the nested iterators. The transformations allow the compiler to identify parallelization opportunities that it could not detect in the original code. These techniques are important for aiding the migration from hand-optimized code on a sequential machine to system-optimized code on a parallel machine. Without such rewrites, moving to a parallel system may produce only meager performance improvements when porting legacy systems.","PeriodicalId":264926,"journal":{"name":"Proceedings 14th International Conference on Data Engineering","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114925770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1997-12-01DOI: 10.1109/ICDE.1998.655791
A. Gupta, Venky Harinarayan, A. Rajaraman
Virtual database (VDB) technology makes external data behave as an extension of an enterprise's relational database (RDBMS) system. VDB technology enables the rapid deployment of applications with at least one of the following characteristics: large numbers of data sources; data sources that are autonomous (i.e. there is no centralized control); or data sources that can have a mixture of structured and unstructured data. The World Wide Web and most intranets have all of these characteristics and can thus benefit from VDB technology.
{"title":"Virtual database technology","authors":"A. Gupta, Venky Harinarayan, A. Rajaraman","doi":"10.1109/ICDE.1998.655791","DOIUrl":"https://doi.org/10.1109/ICDE.1998.655791","url":null,"abstract":"Virtual database (VDB) technology makes external data behave as an extension of an enterprise's relational database (RDBMS) system. VDB technology enables the rapid deployment of applications with at least one of the following characteristics: large numbers of data sources; data sources that are autonomous (i.e. there is no centralized control); or data sources that can have a mixture of structured and unstructured data. The World Wide Web and most intranets have all of these characteristics and can thus benefit from VDB technology.","PeriodicalId":264926,"journal":{"name":"Proceedings 14th International Conference on Data Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127369244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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