Book Image

Scaling Big Data with Hadoop and Solr, Second Edition

By : Hrishikesh Vijay Karambelkar
Book Image

Scaling Big Data with Hadoop and Solr, Second Edition

By: Hrishikesh Vijay Karambelkar

Overview of this book

Table of Contents (13 chapters)
Scaling Big Data with Hadoop and Solr Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Optimizing search schema


When Solr is used in the context of a specific requirement (for example, log search for an enterprise application) it holds a specific schema that can be defined in schema.xml and copied over to nodes. The schema is based on the schema attributes indexes and thus plays a vital role in the performance of your Solr instance.

Specifying default search field

In the schema.xml file of the Solr configuration, the system allows you to specify the <defaultSearchField> parameter. This is the parameter that controls when you search without an explicit field name in your query, and which field to pick up for searching. This is an optional parameter; if this is not specified, for all the queries that are not providing the field name, the search will run them on all the available fields in the schema. This will not only consume more CPU time but on the whole, slow down the search performance.

Configuring search schema fields

In custom schema, having a larger number of fields...