Handling Very Large Databases with Informix Extended Parallel Server Andreas Weininger   View Paper (PDF)   Return to Industrial Sessions Abstract In this paper, we investigate which problems exist in very large real databases and describe which mechanisms are provided by Informix Extended Parallel Server (XPS) for dealing with these problems. Currently the largest customer XPS database contains 27 TB of data. A database server that has to handle such an amount of data has to provide mechanisms which allow achieving adequate performance and easing the usability. We will present mechanisms which address both of these issues and illustrate them with examples from real customer systems. BIBTEX @inproceedings{DBLP:conf/sigmod/Weininger00,   author    = {Andreas Weininger},    editor    = {Weidong Chen and                 Jeffrey F. Naughton and                 Philip A. Bernstein},    title     = {Handling Very Large Databases with Informix Extended Parallel                 Server},    booktitle = {Proceedings of the 2000 ACM SIGMOD International Conference on                 Management of Data, May 16-18, 2000, Dallas, Texas, USA},    journal   = {SIGMOD Record},    publisher = {ACM},    volume    = {29},    number    = {2},    year      = {2000},    isbn      = {1-58113-218-2},    pages     = {548-549},    crossref  = {DBLP:conf/sigmod/2000},    bibsource = {DBLP, http://dblp.uni-trier.de} } }, DiSC'01 Copyright ©2002 ACM Inc.