You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@lucene.apache.org by bu...@apache.org on 2012/03/07 11:21:04 UTC

svn commit: r807727 - in /websites: production/lucene/content/ production/lucene/content/core/ production/lucene/content/solr/ staging/lucene/trunk/content/ staging/lucene/trunk/content/core/ staging/lucene/trunk/content/solr/

Author: buildbot
Date: Wed Mar  7 10:21:03 2012
New Revision: 807727

Log:
Dynamic update by buildbot for lucene

Modified:
    websites/production/lucene/content/core/index.html
    websites/production/lucene/content/index.html
    websites/production/lucene/content/solr/index.html
    websites/staging/lucene/trunk/content/core/index.html
    websites/staging/lucene/trunk/content/index.html
    websites/staging/lucene/trunk/content/solr/index.html

Modified: websites/production/lucene/content/core/index.html
==============================================================================
    (empty)

Modified: websites/production/lucene/content/index.html
==============================================================================
    (empty)

Modified: websites/production/lucene/content/solr/index.html
==============================================================================
--- websites/production/lucene/content/solr/index.html (original)
+++ websites/production/lucene/content/solr/index.html Wed Mar  7 10:21:03 2012
@@ -438,15 +438,15 @@ numeric fields or query relevancy scores
         
         <div class="status-item">
           <div class="section-content">
-             <a href="http://twitter.com/KoyamaKei_/statuses/177238437429133313">@</a>RT <a href="http://twitter.com/al3xandru">@al3xandru</a>: ♻ Scaling Solr Indexing With SolrCloud, Hadoop and Behemoth <a href="http://t.co/O27j829E">http://t.co/O27j829E</a> <a href="http://twitter.com/search?q=%23Solr">#Solr</a> <a href="http://twitter.com/search?q=%23Hadoop">#Hadoop</a> <a href="http://twitter.com/search?q=%23Behemoth">#Behemoth</a> <a href="http://twitter.com/search?q=%23SolrCloud">#SolrCloud</a> <a href="http://twitter.com/search?q=%23ElasticSearch">#ElasticSearch</a>
+             <a href="http://twitter.com/BridgemanC79/statuses/177324604048674817">@</a><a href="http://twitter.com/workforsky">@workforsky</a> sponsor beer+pizza <a href="http://twitter.com/skillsmatter">@skillsmatter</a> Mar 8 for <a href="http://twitter.com/search?q=%23skysearch">#skysearch</a> talk on <a href="http://twitter.com/search?q=%23Java">#Java</a> <a href="http://twitter.com/search?q=%23Solr">#Solr</a> <a href="http://twitter.com/search?q=%23Facebook">#Facebook</a> <a href="http://twitter.com/search?q=%23EnterpriseSearch">#EnterpriseSearch</a> <a href="http://twitter.com/sky">@sky</a>
           </div>
           
           <div class="section-content">
-             <a href="http://twitter.com/javapins/statuses/177220044776935424">@</a>Zen in the art of IT: Enabling enterprise log searching - Playing with Hadoop <a href="http://t.co/ImEJhMdh">http://t.co/ImEJhMdh</a> <a href="http://twitter.com/search?q=%23Hadoop">#Hadoop</a> <a href="http://twitter.com/search?q=%23Java">#Java</a> <a href="http://twitter.com/search?q=%23Solr">#Solr</a> via <a href="http://twitter.com/search?q=%23javapins">#javapins</a>
+             <a href="http://twitter.com/KoyamaKei_/statuses/177238437429133313">@</a>RT <a href="http://twitter.com/al3xandru">@al3xandru</a>: ♻ Scaling Solr Indexing With SolrCloud, Hadoop and Behemoth <a href="http://t.co/O27j829E">http://t.co/O27j829E</a> <a href="http://twitter.com/search?q=%23Solr">#Solr</a> <a href="http://twitter.com/search?q=%23Hadoop">#Hadoop</a> <a href="http://twitter.com/search?q=%23Behemoth">#Behemoth</a> <a href="http://twitter.com/search?q=%23SolrCloud">#SolrCloud</a> <a href="http://twitter.com/search?q=%23ElasticSearch">#ElasticSearch</a>
           </div>
           
           <div class="section-content">
-             <a href="http://twitter.com/faizanj/statuses/177214082020159488">@</a>RT <a href="http://twitter.com/al3xandru">@al3xandru</a>: ♻ Scaling Solr Indexing With SolrCloud, Hadoop and Behemoth <a href="http://t.co/O27j829E">http://t.co/O27j829E</a> <a href="http://twitter.com/search?q=%23Solr">#Solr</a> <a href="http://twitter.com/search?q=%23Hadoop">#Hadoop</a> <a href="http://twitter.com/search?q=%23Behemoth">#Behemoth</a> <a href="http://twitter.com/search?q=%23SolrCloud">#SolrCloud</a> <a href="http://twitter.com/search?q=%23ElasticSearch">#ElasticSearch</a>
+             <a href="http://twitter.com/javapins/statuses/177220044776935424">@</a>Zen in the art of IT: Enabling enterprise log searching - Playing with Hadoop <a href="http://t.co/ImEJhMdh">http://t.co/ImEJhMdh</a> <a href="http://twitter.com/search?q=%23Hadoop">#Hadoop</a> <a href="http://twitter.com/search?q=%23Java">#Java</a> <a href="http://twitter.com/search?q=%23Solr">#Solr</a> via <a href="http://twitter.com/search?q=%23javapins">#javapins</a>
           </div>
           
         </div>

Modified: websites/staging/lucene/trunk/content/core/index.html
==============================================================================
    (empty)

Modified: websites/staging/lucene/trunk/content/index.html
==============================================================================
    (empty)

Modified: websites/staging/lucene/trunk/content/solr/index.html
==============================================================================
--- websites/staging/lucene/trunk/content/solr/index.html (original)
+++ websites/staging/lucene/trunk/content/solr/index.html Wed Mar  7 10:21:03 2012
@@ -438,15 +438,15 @@ numeric fields or query relevancy scores
         
         <div class="status-item">
           <div class="section-content">
-             <a href="http://twitter.com/KoyamaKei_/statuses/177238437429133313">@</a>RT <a href="http://twitter.com/al3xandru">@al3xandru</a>: ♻ Scaling Solr Indexing With SolrCloud, Hadoop and Behemoth <a href="http://t.co/O27j829E">http://t.co/O27j829E</a> <a href="http://twitter.com/search?q=%23Solr">#Solr</a> <a href="http://twitter.com/search?q=%23Hadoop">#Hadoop</a> <a href="http://twitter.com/search?q=%23Behemoth">#Behemoth</a> <a href="http://twitter.com/search?q=%23SolrCloud">#SolrCloud</a> <a href="http://twitter.com/search?q=%23ElasticSearch">#ElasticSearch</a>
+             <a href="http://twitter.com/BridgemanC79/statuses/177324604048674817">@</a><a href="http://twitter.com/workforsky">@workforsky</a> sponsor beer+pizza <a href="http://twitter.com/skillsmatter">@skillsmatter</a> Mar 8 for <a href="http://twitter.com/search?q=%23skysearch">#skysearch</a> talk on <a href="http://twitter.com/search?q=%23Java">#Java</a> <a href="http://twitter.com/search?q=%23Solr">#Solr</a> <a href="http://twitter.com/search?q=%23Facebook">#Facebook</a> <a href="http://twitter.com/search?q=%23EnterpriseSearch">#EnterpriseSearch</a> <a href="http://twitter.com/sky">@sky</a>
           </div>
           
           <div class="section-content">
-             <a href="http://twitter.com/javapins/statuses/177220044776935424">@</a>Zen in the art of IT: Enabling enterprise log searching - Playing with Hadoop <a href="http://t.co/ImEJhMdh">http://t.co/ImEJhMdh</a> <a href="http://twitter.com/search?q=%23Hadoop">#Hadoop</a> <a href="http://twitter.com/search?q=%23Java">#Java</a> <a href="http://twitter.com/search?q=%23Solr">#Solr</a> via <a href="http://twitter.com/search?q=%23javapins">#javapins</a>
+             <a href="http://twitter.com/KoyamaKei_/statuses/177238437429133313">@</a>RT <a href="http://twitter.com/al3xandru">@al3xandru</a>: ♻ Scaling Solr Indexing With SolrCloud, Hadoop and Behemoth <a href="http://t.co/O27j829E">http://t.co/O27j829E</a> <a href="http://twitter.com/search?q=%23Solr">#Solr</a> <a href="http://twitter.com/search?q=%23Hadoop">#Hadoop</a> <a href="http://twitter.com/search?q=%23Behemoth">#Behemoth</a> <a href="http://twitter.com/search?q=%23SolrCloud">#SolrCloud</a> <a href="http://twitter.com/search?q=%23ElasticSearch">#ElasticSearch</a>
           </div>
           
           <div class="section-content">
-             <a href="http://twitter.com/faizanj/statuses/177214082020159488">@</a>RT <a href="http://twitter.com/al3xandru">@al3xandru</a>: ♻ Scaling Solr Indexing With SolrCloud, Hadoop and Behemoth <a href="http://t.co/O27j829E">http://t.co/O27j829E</a> <a href="http://twitter.com/search?q=%23Solr">#Solr</a> <a href="http://twitter.com/search?q=%23Hadoop">#Hadoop</a> <a href="http://twitter.com/search?q=%23Behemoth">#Behemoth</a> <a href="http://twitter.com/search?q=%23SolrCloud">#SolrCloud</a> <a href="http://twitter.com/search?q=%23ElasticSearch">#ElasticSearch</a>
+             <a href="http://twitter.com/javapins/statuses/177220044776935424">@</a>Zen in the art of IT: Enabling enterprise log searching - Playing with Hadoop <a href="http://t.co/ImEJhMdh">http://t.co/ImEJhMdh</a> <a href="http://twitter.com/search?q=%23Hadoop">#Hadoop</a> <a href="http://twitter.com/search?q=%23Java">#Java</a> <a href="http://twitter.com/search?q=%23Solr">#Solr</a> via <a href="http://twitter.com/search?q=%23javapins">#javapins</a>
           </div>
           
         </div>