Apache Solr real-time live index updates at scale with Apache Hadoop | All Things Hadoop



Apache Solr real-time live index updates at scale with Apache Hadoop | All Things Hadoop

We talked about the new work that has gone into Apache Solr (upstream) that allows it to work on Apache Hadoop. Solr has support for writing and reading its index and transaction log files to the HDFS distributed filesystem. This does not use Hadoop Map-Reduce to process Solr data, rather it only uses the HDFS filesystem for index and transaction log file storage.  https://cwiki.apache.org/confluence/display/solr/Running+Solr+on+HDFS We also talked about Solr Cloud and how the sharding features allow Solr to scale with a Hadoop cluster  https://cwiki.apache.org/confluence/display/solr/SolrCloud . Apache Solr includes the ability to set up a cluster of Solr servers that combines fault tolerance and high availability. Called SolrCloud, these capabilities provide distributed indexing and search capabilities, supporting the following features:

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