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> <channel><title>Sven Welzel - blog.sven.co.za - www.svenwelzel.com &#187; database</title> <atom:link href="http://blog.sven.co.za/tag/database/feed/" rel="self" type="application/rss+xml" /><link>http://blog.sven.co.za</link> <description>The Blog of Sven Welzel</description> <lastBuildDate>Mon, 22 Aug 2011 09:13:45 +0000</lastBuildDate> <language>en</language> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <generator>http://wordpress.org/?v=3.2.1</generator> <item><title>Processing large data volumes</title><link>http://blog.sven.co.za/2009/12/15/processing-large-data-volumes/</link> <comments>http://blog.sven.co.za/2009/12/15/processing-large-data-volumes/#comments</comments> <pubDate>Tue, 15 Dec 2009 07:55:20 +0000</pubDate> <dc:creator>Sven Welzel</dc:creator> <category><![CDATA[Did you know]]></category> <category><![CDATA[sysadmin]]></category> <category><![CDATA[administration]]></category> <category><![CDATA[database]]></category> <category><![CDATA[large volumes]]></category> <category><![CDATA[server]]></category> <guid
isPermaLink="false">http://blog.sven.co.za/?p=378</guid> <description><![CDATA[So a compressed text file that ends up being 72GB sounds like a lot, right? Especially if you have to data-churn it with per-line processing. Fine. Wow. A lot. That pales in comparison to the (reported) volumes of data processed by Google and Facebook: In December 2007 (!) Google was processing 400 PB (petabytes) per [...]]]></description> <wfw:commentRss>http://blog.sven.co.za/2009/12/15/processing-large-data-volumes/feed/</wfw:commentRss> <slash:comments>1</slash:comments> </item> <item><title>Shrinking LDF files (SQL Server 2000 etc)</title><link>http://blog.sven.co.za/2008/12/17/shrinking-ldf-files-sql-server-2008/</link> <comments>http://blog.sven.co.za/2008/12/17/shrinking-ldf-files-sql-server-2008/#comments</comments> <pubDate>Wed, 17 Dec 2008 13:48:47 +0000</pubDate> <dc:creator>Sven Welzel</dc:creator> <category><![CDATA[sysadmin]]></category> <category><![CDATA[administration]]></category> <category><![CDATA[database]]></category> <category><![CDATA[sql]]></category> <guid
isPermaLink="false">http://blog.sven.co.za/?p=50</guid> <description><![CDATA[Some really nifty tips on huuuuuge LDF files I encountered (56G a pop) and came down to 212MB as a result of this process: In SQL Server 2000 Query Analyzer run the following command (doesn&#8217;t matter what db you are in): backup log [database name] with truncate_only (don&#8217;t include the square brackets) Open Enterprise Manager [...]]]></description> <wfw:commentRss>http://blog.sven.co.za/2008/12/17/shrinking-ldf-files-sql-server-2008/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Backup and Restore in Firebird [and Interbase] (but you knew that already)</title><link>http://blog.sven.co.za/2008/11/12/backup-and-restore-in-firebird-and-interbase-but-you-knew-that-already/</link> <comments>http://blog.sven.co.za/2008/11/12/backup-and-restore-in-firebird-and-interbase-but-you-knew-that-already/#comments</comments> <pubDate>Wed, 12 Nov 2008 11:26:20 +0000</pubDate> <dc:creator>Sven Welzel</dc:creator> <category><![CDATA[sysadmin]]></category> <category><![CDATA[database]]></category> <category><![CDATA[firebird]]></category> <category><![CDATA[interbase]]></category> <category><![CDATA[sql]]></category> <guid
isPermaLink="false">http://blog.sven.co.za/?p=45</guid> <description><![CDATA[Always nifty to have it all in one spot Of course, this works for Interbase, too&#8230; all in the documentation. Where dbserver = 127.0.0.1 (if it&#8217;s on localhost) and /databases/dbfile.fdb could be x:\DIR\FILE.[gdb&#124;fdb] etc&#8230; A &#8220;normal&#8221; Backup ?View Code BASHgbak -v -t -user SYSDBA -password masterkey dbserver:/databases/dbfile.fdb c:\backups\dbfile.fbk Backup with output to a logfile ?View [...]]]></description> <wfw:commentRss>http://blog.sven.co.za/2008/11/12/backup-and-restore-in-firebird-and-interbase-but-you-knew-that-already/feed/</wfw:commentRss> <slash:comments>1</slash:comments> </item> </channel> </rss>
