Apache Solr Reference Guide Covering Apache Solr 6.0

Indexing and Basic Data Operations
This section describes how Solr adds data to its index. It covers the following topics:
Introduction to Solr Indexing: An overview of Solr's indexing process.
Post Tool: Information about using post.jar to quickly upload some content to your system.
Uploading Data with Index Handlers: Information about using Solr's Index Handlers to upload
XML/XSLT, JSON and CSV data.
Uploading Data with Solr Cell using Apache Tika: Information about using the Solr Cell framework to
upload data for indexing.
Uploading Structured Data Store Data with the Data Import Handler: Information about uploading and
indexing data from a structured data store.
Updating Parts of Documents: Information about how to use atomic updates and optimistic concurrency
with Solr.
Detecting Languages During Indexing: Information about using language identification during the
indexing process.
De-Duplication: Information about configuring Solr to mark duplicate documents as they are indexed.
Content Streams: Information about streaming content to Solr Request Handlers.
UIMA Integration: Information about integrating Solr with Apache's Unstructured Information
Management Architecture (UIMA). UIMA lets you define custom pipelines of Analysis Engines that
incrementally add metadata to your documents as annotations.
Indexing Using Client APIs
Using client APIs, such as SolrJ, from your applications is an important option for updating Solr indexes. See the
Client APIs section for more information.
Introduction to Solr Indexing
This section describes the process of indexing: adding content to a Solr index and, if necessary, modifying that
content or deleting it. By adding content to an index, we make it searchable by Solr.
A Solr index can accept data from many different sources, including XML files, comma-separated value (CSV)
files, data extracted from tables in a database, and files in common file formats such as Microsoft Word or PDF.
Here are the three most common ways of loading data into a Solr index:
Using the Solr Cell framework built on Apache Tika for ingesting binary files or structured files such as
Office, Word, PDF, and other proprietary formats.
Uploading XML files by sending HTTP requests to the Solr server from any environment where such
requests can be generated.
Writing a custom Java application to ingest data through Solr's Java Client API (which is described in
more detail in Client APIs. Using the Java API may be the best choice if you're working with an
application, such as a Content Management System (CMS), that offers a Java API.
Regardless of the method used to ingest data, there is a common basic data structure for data being fed into a
Solr index: a document containing multiple fields, each with a name and containing content, which may be
empty. One of the fields is usually designated as a unique ID field (analogous to a primary key in a database),
although the use of a unique ID field is not strictly required by Solr.
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