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Apache Solr for Indexing Data

Apache Solr for Indexing Data

By : Handiekar, Johri
1 (1)
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Apache Solr for Indexing Data

Apache Solr for Indexing Data

1 (1)
By: Handiekar, Johri

Overview of this book

Apache Solr is a widely used, open source enterprise search server that delivers powerful indexing and searching features. These features help fetch relevant information from various sources and documentation. Solr also combines with other open source tools such as Apache Tika and Apache Nutch to provide more powerful features. This fast-paced guide starts by helping you set up Solr and get acquainted with its basic building blocks, to give you a better understanding of Solr indexing. You’ll quickly move on to indexing text and boosting the indexing time. Next, you’ll focus on basic indexing techniques, various index handlers designed to modify documents, and indexing a structured data source through Data Import Handler. Moving on, you will learn techniques to perform real-time indexing and atomic updates, as well as more advanced indexing techniques such as de-duplication. Later on, we’ll help you set up a cluster of Solr servers that combine fault tolerance and high availability. You will also gain insights into working scenarios of different aspects of Solr and how to use Solr with e-commerce data. By the end of the book, you will be competent and confident working with indexing and will have a good knowledge base to efficiently program elements.
Table of Contents (13 chapters)
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12
Index

UIMA integration with Solr


Solr can also be integrated with Apache UIMA (short for Unstructured Information Management Architecture), which can be used to define a custom pipeline to add metadata to documents.

Note

More information about Solr UIMA integration can be found at https://wiki.apache.org/solr/SolrUIMA.

In Solr, UIMA can be configured by following these steps:

  1. In solrconfig.xml, we can add the following libraries:

    <lib dir="../../contrib/uima/lib" />
    <lib dir="../../dist/" regex="solr-uima-\d.*\.jar" />
  2. After adding the libraries, we can add the following fields to schema.xml, which will contain the language, concept, and sentence fields:

    <field name="language" type="string" indexed="true" stored="true" required="false"/>
    <field name="concept" type="string" indexed="true" stored="true" multiValued="true" required="false"/>
    <field name="sentence" type="text" indexed="true" stored="true" multiValued="true" required="false" />
  3. After adding these fields, we'll...

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