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	<title>Comments on: LOAD DATA INFILE &#8211; performance case study</title>
	<atom:link href="http://venublog.com/2007/11/07/load-data-infile-performance/feed/" rel="self" type="application/rss+xml" />
	<link>http://venublog.com/2007/11/07/load-data-infile-performance/</link>
	<description>Everything In Life Is Random! (Personal and Work)</description>
	<lastBuildDate>Fri, 13 Apr 2012 21:07:42 +0000</lastBuildDate>
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		<title>By: Quora</title>
		<link>http://venublog.com/2007/11/07/load-data-infile-performance/comment-page-1/#comment-13109</link>
		<dc:creator>Quora</dc:creator>
		<pubDate>Sun, 16 Jan 2011 19:43:50 +0000</pubDate>
		<guid isPermaLink="false">http://venublog.com/2007/11/07/load-data-infile-performance/#comment-13109</guid>
		<description>&lt;strong&gt;What are ways to speed up INSERT queries in MySQL?...&lt;/strong&gt;

It also depends on what engine type you are using underneath. Few points: * Developer point of view: Batch loading is the best option (LOAD DATA or multi row insert statements or Batch Insert in JDBC/ODBC) * DBA point of view: You need enough memory fo...</description>
		<content:encoded><![CDATA[<p><strong>What are ways to speed up INSERT queries in MySQL?&#8230;</strong></p>
<p>It also depends on what engine type you are using underneath. Few points: * Developer point of view: Batch loading is the best option (LOAD DATA or multi row insert statements or Batch Insert in JDBC/ODBC) * DBA point of view: You need enough memory fo&#8230;</p>
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	<item>
		<title>By: michael</title>
		<link>http://venublog.com/2007/11/07/load-data-infile-performance/comment-page-1/#comment-12807</link>
		<dc:creator>michael</dc:creator>
		<pubDate>Sat, 25 Dec 2010 21:44:57 +0000</pubDate>
		<guid isPermaLink="false">http://venublog.com/2007/11/07/load-data-infile-performance/#comment-12807</guid>
		<description>Thanks a lot,
I set 
SET SESSION BULK_INSERT_BUFFER_SIZE=256217728;
set session MYISAM_SORT_BUFFER_SIZE=256217728;
set global KEY_BUFFER_SIZE=3019898880;
SET GLOBAL concurrent_insert=2;

and its took 20 minutes to load 50 million records with 4 indexes on table</description>
		<content:encoded><![CDATA[<p>Thanks a lot,<br />
I set<br />
SET SESSION BULK_INSERT_BUFFER_SIZE=256217728;<br />
set session MYISAM_SORT_BUFFER_SIZE=256217728;<br />
set global KEY_BUFFER_SIZE=3019898880;<br />
SET GLOBAL concurrent_insert=2;</p>
<p>and its took 20 minutes to load 50 million records with 4 indexes on table</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: jono2010</title>
		<link>http://venublog.com/2007/11/07/load-data-infile-performance/comment-page-1/#comment-10520</link>
		<dc:creator>jono2010</dc:creator>
		<pubDate>Tue, 21 Sep 2010 02:32:07 +0000</pubDate>
		<guid isPermaLink="false">http://venublog.com/2007/11/07/load-data-infile-performance/#comment-10520</guid>
		<description>Thank you for the tip!  Import performance now takes 2hrs instead of 9hrs.</description>
		<content:encoded><![CDATA[<p>Thank you for the tip!  Import performance now takes 2hrs instead of 9hrs.</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: mohsin</title>
		<link>http://venublog.com/2007/11/07/load-data-infile-performance/comment-page-1/#comment-10366</link>
		<dc:creator>mohsin</dc:creator>
		<pubDate>Thu, 15 Jul 2010 14:34:13 +0000</pubDate>
		<guid isPermaLink="false">http://venublog.com/2007/11/07/load-data-infile-performance/#comment-10366</guid>
		<description>increase myisam_sor_buffer_size to repair faster after loading data and enabling keys</description>
		<content:encoded><![CDATA[<p>increase myisam_sor_buffer_size to repair faster after loading data and enabling keys</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Blog von Jens Ihnow</title>
		<link>http://venublog.com/2007/11/07/load-data-infile-performance/comment-page-1/#comment-10336</link>
		<dc:creator>Blog von Jens Ihnow</dc:creator>
		<pubDate>Mon, 05 Jul 2010 13:32:50 +0000</pubDate>
		<guid isPermaLink="false">http://venublog.com/2007/11/07/load-data-infile-performance/#comment-10336</guid>
		<description>&lt;strong&gt;MySQL - LOAD DATA INFILE performance case study...&lt;/strong&gt;

Im Blog von Venu Anuganti habe ich einen interessanten Eintrag zur MySQL Funktion LOAD DATA INFILE gefunden. Wer sich schon mal mit der Performance von umfangreicheren importen in eine MySQL Datenbank beschäftigt hat, sollte sich diesen Blog mal ansehe...</description>
		<content:encoded><![CDATA[<p><strong>MySQL &#8211; LOAD DATA INFILE performance case study&#8230;</strong></p>
<p>Im Blog von Venu Anuganti habe ich einen interessanten Eintrag zur MySQL Funktion LOAD DATA INFILE gefunden. Wer sich schon mal mit der Performance von umfangreicheren importen in eine MySQL Datenbank beschäftigt hat, sollte sich diesen Blog mal ansehe&#8230;</p>
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	<item>
		<title>By: Hitri vnos/uvoz podatkov v MySQL preko LOAD DATA INFILE &#124; T&#38;R splet - internetne storitve</title>
		<link>http://venublog.com/2007/11/07/load-data-infile-performance/comment-page-1/#comment-9122</link>
		<dc:creator>Hitri vnos/uvoz podatkov v MySQL preko LOAD DATA INFILE &#124; T&#38;R splet - internetne storitve</dc:creator>
		<pubDate>Sat, 24 Oct 2009 07:36:31 +0000</pubDate>
		<guid isPermaLink="false">http://venublog.com/2007/11/07/load-data-infile-performance/#comment-9122</guid>
		<description>[...] na primer v PHP-ju, posledično je uvoz precej hitrejši. Priporočam vam, da si ogledate teste ter ugotovitve, kako pohitriti veliko količino podatkov v MySQL preko LOAD DATA INFILE funkcije ali mysqlhotcopy PERL [...]</description>
		<content:encoded><![CDATA[<p>[...] na primer v PHP-ju, posledično je uvoz precej hitrejši. Priporočam vam, da si ogledate teste ter ugotovitve, kako pohitriti veliko količino podatkov v MySQL preko LOAD DATA INFILE funkcije ali mysqlhotcopy PERL [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Notes about importing gigabyte data into MySQL &#124; 三食的羊肉面片</title>
		<link>http://venublog.com/2007/11/07/load-data-infile-performance/comment-page-1/#comment-4618</link>
		<dc:creator>Notes about importing gigabyte data into MySQL &#124; 三食的羊肉面片</dc:creator>
		<pubDate>Fri, 03 Oct 2008 05:59:26 +0000</pubDate>
		<guid isPermaLink="false">http://venublog.com/2007/11/07/load-data-infile-performance/#comment-4618</guid>
		<description>[...] Here is a good article about LOAD DATA INFILE and its performance. LOAD DATA INFILE - performance case study [...]</description>
		<content:encoded><![CDATA[<p>[...] Here is a good article about LOAD DATA INFILE and its performance. LOAD DATA INFILE &#8211; performance case study [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: srinivas</title>
		<link>http://venublog.com/2007/11/07/load-data-infile-performance/comment-page-1/#comment-4548</link>
		<dc:creator>srinivas</dc:creator>
		<pubDate>Mon, 04 Aug 2008 04:15:05 +0000</pubDate>
		<guid isPermaLink="false">http://venublog.com/2007/11/07/load-data-infile-performance/#comment-4548</guid>
		<description>hello i have one query..
I have written a stored procedure to delete a particular row based on the input parameter
i am going to pass..

when i tested that procedure using call procedure_delete(in_value)
with the existing values of records its working fine..
if i tried to give a in_value for which there is no records exists in the corresponding table
i got this ...
query is ok, 0 rows affected..

for this type of cases how can i write an error handler inside my
stored procedure????

please help me out..

thanks in advance..

thanks and regards
srinivas antarvedi</description>
		<content:encoded><![CDATA[<p>hello i have one query..<br />
I have written a stored procedure to delete a particular row based on the input parameter<br />
i am going to pass..</p>
<p>when i tested that procedure using call procedure_delete(in_value)<br />
with the existing values of records its working fine..<br />
if i tried to give a in_value for which there is no records exists in the corresponding table<br />
i got this &#8230;<br />
query is ok, 0 rows affected..</p>
<p>for this type of cases how can i write an error handler inside my<br />
stored procedure????</p>
<p>please help me out..</p>
<p>thanks in advance..</p>
<p>thanks and regards<br />
srinivas antarvedi</p>
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