Apache Solr performs indexing on the updated data, and the data is available for search. In many cases, the index-generation job is run during offline hours (late nights, weekends) to update the search with the newer data. Until this point, Apache Solr cannot search for documents added in the customer document repository. Many times, the demand is to make a document available for search as and when it is uploaded to the customer repository. Apache Solr can perform search on these documents in near real time. There is a delay to generate index for a document and to make it available for search; hence, Apache Solr can support near real-time search on documents.
Scaling Apache Solr
By :
Scaling Apache Solr
By:
Overview of this book
Table of Contents (18 chapters)
Scaling Apache Solr
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Understanding Apache Solr
Getting Started with Apache Solr
Analyzing Data with Apache Solr
Designing Enterprise Search
Integrating Apache Solr
Distributed Search Using Apache Solr
Scaling Solr through Sharding, Fault Tolerance, and Integration
Scaling Solr through High Performance
Solr and Cloud Computing
Scaling Solr Capabilities with Big Data
Sample Configuration for Apache Solr
Index
Customer Reviews