using large databases

"Appelt, Uwe" <[email protected]>
Newsgroups gmane.comp.db.mysql.java
Message-ID <8E1D49EDFDE9AC4293FC4CBF125AC6641A0CB1@CEX20.ads.krz.uni-heidelberg.de>
Dear Developers,

i'm currently working on a very database intensive project. In fact, we have a bunch of computers (50-60), that could be used as a db-cluster, but unfortunatly those computers are part of a public available pool, so that we cannot run mysql as a classicly-fashioned dbms-cluster. instead, we developed a java-rmi cluster, where each host eats 'database jobs', when it is not loaded by an locally logged on user. these jobs actually consist of massive selecting data from a several gigabytes database (genetic data as provided by ensembl.org).
as i saw (or guess) you are deploying embedded databases from the ressource dir, that also contains the data-dir as a jar-archive. but in the above case, it would not make any sense at all, to decompress a several gb-jar everytime, the java-app is started (which is actually done, when the user loggs off) => question:
is it possible, to use connector/MXJ with a fully preconfigured mysql-directory including 'bin/mysqld', 'data/myhugedb/*.*' and a 'my.ini', which is already lying on a local harddrive? if so, i would preconfigure the database to be used by clusterclients as an embedded ressource on a standalone system and patch later on each clusterhost with the whole mysql-dir prior to install the java-app. would that make sense to you?

thanks in advance and kind regards
Uwe Appelt







(Dipl. Inform. Med.)
Universitätsklinikum Heidelberg
Institut für Transplantationsimmunologie
Friedrich-Ebert-Anlage 17
69117 Heidelberg
Tel.: 06221 1370-22
Fax.: 06221 1370-45
[email protected]

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