Re: RPMs for 7.3.4, and a change.

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Dennis Gearon
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Re: RPMs for 7.3.4, and a change.
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3F25AE52.30808@cvc.net
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RPMs for 7.3.4, and a change. Lamar Owen <lowen@pari.edu>
Re: RPMs for 7.3.4, and a change. Ron Johnson <ron.l.johnson@cox.net>
Re: RPMs for 7.3.4, and a change. Dennis Gearon <gearond@cvc.net>
There was an article about a LARGE storage network of linux boxes I saw recently. Absolutely stable. Wish I could tell you where it was, but I can't.

Lamar Owen wrote:

> Good evening.
> 
> RPMs for PostgreSQL 7.3.4, built on three architectures, are in the midst of 
> uploading to ftp.postgresql.org, in /pub/binary/v7.3.4/RPMS.  As usual, 
> inside that directory is the directory SRPMS, which contains the source RPM, 
> as well as the three binary RPM directories I am uploading.  One minor thing; 
> a source RPM suitable for rebuilding on Red Hat 7.3 is available in the 
> aurora-1.0 subdirectory.  Aurora 1.0 is basically Red Hat 7.3 for SPARC; 
> there are also SPARC binaries there.
> 
> Other than the version change, this RPMset includes the correct JDBC jars.  
> There are a couple of fixes that have been e-mailed to me that are not in 
> this update; I will address those as soon as I can.
> 
> In other news, I have changed jobs.  Previously, I worked full-time as a 
> broadcast engineer/IT person for WGCR Radio.  I still work part-time for 
> them, amongst other radio stations, but my full-time position is now as 
> Director of Information Technology for Pisgah Astronomical Research Institute 
> (PARI), a radio/optical astronomical observatory located in Western North 
> Carolina.  You can find out more about PARI at our website, www.pari.edu.
> 
> PARI is already using PostgreSQL for several applications, and soon will be 
> looking at PostgreSQL for a large data warehousing application.  And, in this 
> case, I do mean large.  I will be indexing and storing over three million 
> astronomical photographic plates (if plans come together!), where each plate 
> will scan in at roughly 650-750MB in size (uncompressed) (and this is 8-level 
> grayscale scanning).  Mass storage will be critical of this priceless data 
> store, and PostgreSQL may very well fit the bill.  I'm still in the planning 
> phases, and we are still trying to secure funding for this project.  But I am 
> relatively confident that PostgreSQL will rise to the occassion.  Some of the 
> plates in question are over 100 years old.
> 
> New challenges, new opportunities.  But still the same PostgreSQL.

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