﻿<?xml version='1.0' encoding='UTF-8'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>SQLServerCentral / Administering / SQL Server 2005  / Throttling database processes? / Latest Posts</title><generator>InstantForum.NET v2.9.0</generator><description>SQLServerCentral</description><link>http://www.sqlservercentral.com/Forums/</link><webMaster>notifications@sqlservercentral.com</webMaster><lastBuildDate>Wed, 22 May 2013 01:06:57 GMT</lastBuildDate><ttl>20</ttl><item><title>RE: Throttling database processes?</title><link>http://www.sqlservercentral.com/Forums/Topic524216-146-1.aspx</link><description>It's also worth making sure that you're using transactions properly when loading the data - we have to deal with data loads every half hour, so need to keep physical table writes (and therefore table locks) to a minimum.</description><pubDate>Wed, 24 Feb 2010 02:16:33 GMT</pubDate><dc:creator>Ben Moorhouse</dc:creator></item><item><title>RE: Throttling database processes?</title><link>http://www.sqlservercentral.com/Forums/Topic524216-146-1.aspx</link><description>The real problem is that you're using the same table for OLTP and Batch processing.  Load the data into a separate table (staging table), process it, the transfer the final results to your OLTP table.We had the same problem where I work... code ran for 30 minutes, 4 times a day, and cause 10 minute long server wide "blackouts" each time.  Using the method I've identified above, the code ran in 3.91 seconds...</description><pubDate>Thu, 26 Jun 2008 20:17:37 GMT</pubDate><dc:creator>Jeff Moden</dc:creator></item><item><title>RE: Throttling database processes?</title><link>http://www.sqlservercentral.com/Forums/Topic524216-146-1.aspx</link><description>How are the data loads being done? Java front end app with a JDBC connector?We had issues with a datastore that is also used for reporting that had some horrible code used to do inserts ( looping through millions of records to find duplicates for each insert ) that was taking huge amounts of time to process and the reporting was, as you say, experiencing timeouts and connectivity problems. Find out what is beating up your server, CPU or I/O.If it's cpu chances are that there is some code that needs to be tweeked or some indexes to be added. If it's I/O...might want to think about adding a staging table on a separate set of disks and inserting the data into the real tables off hours.A combination of code rewrites and additional indexes brought the load times from 24+ hrs to 4hrs. Be warry that more indexes can slow down updates..but this should get you on the right track</description><pubDate>Thu, 26 Jun 2008 11:17:05 GMT</pubDate><dc:creator>Matt Cunningham</dc:creator></item><item><title>RE: Throttling database processes?</title><link>http://www.sqlservercentral.com/Forums/Topic524216-146-1.aspx</link><description>Create a Database SNAPSHOT.That should let the other users Query the Database for SELECTS only.</description><pubDate>Thu, 26 Jun 2008 08:43:59 GMT</pubDate><dc:creator>MannySingh</dc:creator></item><item><title>RE: Throttling database processes?</title><link>http://www.sqlservercentral.com/Forums/Topic524216-146-1.aspx</link><description>There's a resource govenor new in SQL Server 2008. Don't think there is anything avaialble in 2005</description><pubDate>Thu, 26 Jun 2008 08:36:37 GMT</pubDate><dc:creator>GRE (Gethyn Ellis)</dc:creator></item><item><title>Throttling database processes?</title><link>http://www.sqlservercentral.com/Forums/Topic524216-146-1.aspx</link><description>We have a transactional database that encounters data loads almost daily.  These data loads are initiated by end users, and cannot really be scheduled for off-hours.The problem is, the data load monopolizes server resources, and other "regular" users of the OLTP system experience timeouts and very slow performance at best.Is there any way to throttle back (in SQL 2005) the resources utilized by a single process or user?thanks!</description><pubDate>Thu, 26 Jun 2008 08:20:55 GMT</pubDate><dc:creator>mxhxr</dc:creator></item></channel></rss>