Trending October 2023 # Apache Solr Tutorial: What Is Solr? Architecture And Installation # Suggested November 2023 # Top 14 Popular |

Trending October 2023 # Apache Solr Tutorial: What Is Solr? Architecture And Installation # Suggested November 2023 # Top 14 Popular

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What is Apache Solr?

Apache Solr is an open-source search server platform written in Java language by Apache software foundation. It is highly scalable and ready to deploy search engine to handle a large volume of text-centric data. The purpose of using Apache Solr is to index and search large amount of web content and give relevant content based on search query.

In this Apache Solr tutorial for beginners, you will learn-

History of Apache Solr

1999: Doug Cutting published Lucene

2004: Solr was developed at CNET by Yonik Seeley as a part company in-house project

2006: CNET publish the source code by donating it to the Apache Software Foundation

2008: Solr 1.3 was released with enhanced search capabilities and performance enhancements

2010: Merger of Lucene and Solr

2012: Solr version 4.0 was released, with new Solr Cloud feature

2023: Solr 6.0, was released which offers support for the execution of parallel SQL queries

Features of Apache Solr

Here are Important features of Apache Solr:

Automatic Load Balancing

Standards-Based Open Interfaces – XML, JSON, and HTTP

Recommendations & Spell Suggestions are supported

Support for Auto-Completion and Geo-Spatial Search

Built-in Security for Authentication and Authorization

Allows you to perform a multilingual Keyword search

Autocomplete/Type-ahead Prediction

Batch and Streaming processing

Building machine-learning models are easy

Specially optimized for high volume web Traffic

Comprehensive HTML Admiration Interfaces

Supports both Schema and Schemaless configuration

Faceted Search and Filtering

Central Configuration For Entire Cluster

Key Terms used in Apache Solr

Now in this Solr search engine tutorial, we will learn about key terms used in Apache Solr:

Key Term Description

Solr Core Solr Core can be defined as an index of texts and fields derived from all the documents. One Solr Instance may have single or multiple Solr Cores.

Core = an instance of Lucene Index + Solr configuration

Solr Instance Solr Instance is an instance a Solr running in the Java Virtual Machine (JVM). In Standalone mode, it only offers one instance whereas in cloud mode you can have one or more instances.

Indexing Indexing is a method for adding document’s content to Solr Index. Apache Solr uses Apache Lucene Inverted Index technique.

Document It is a group of fields and their values. A document is a basic unit of data stored in Apache Core. One Apache core may contain one or more Documents.

Field The field is a key-value pair that stores the actual data in a Document. Key specifies the field name and value contains that Field data. A document may have a one or multiple fields. It is used by Apache Solr to index the document content.

Restful APIs To communicate with Solr, it is not necessary to have used Java programming. Instead, Apache Solr provides restful services to communicate with it. You can send documents and receive results in various file formats like JSON, XML, and CSV.

Full-text search Solr offers features for full-text search such as tokens, phrases, spell checking, auto-complete, wildcard, etc.

Admin Interface Solr offers an easy-to-use, user-friendly, feature powered, user interface. Using the interface you can perform tasks like managing logs, add, delete, update and search documents.

Text-Centric and Sorted by Relevance Apache Solr is used to search text documents, and the results are delivered according to the user’s query.

Node In Solr cloud, every single instance is known as a node.

Cluster A cluster is a collection of nodes.

Collection A cluster has a logical index which is also called a collection.

Shard It is a small area of the collection which offers single or multiple replicas of the index.

Replica A replica is a copy of shard which runs in a node.

Leader It is a replica of the shard, which sends the requests of the Solr Cloud for the rest of replicas.

Apache Solr Architecture

Now in this Solr search tutorial, let’s learn about Apache Solr Architecture:

Apache Solr Architecture

Apache Solr compromises following components: Query:

The query parser parses the queries which you need to pass to Solr. It verifies your query to check syntactical errors. After parsing the queries, it translates into a format which is known by Lucene.

Request Handler:

The request sends to Apache Solr are processed by the request handler. The request can be a query request or index update requests. You need to select the request handler according to your requirement. To pass a request to Solr, you need to map the handler to a specific URL end-point.

Response Writer

A response writer will generate formatted outputs for input queries. It supports various formats like XML, JSON, chúng tôi You may have different response writers for different type of requests.

Update Handler:

When you send an update request to Apache Solr, it is run through a set of plugins, signature, logging, indexing. This process is known as update request processor. Update handler also responsible for modifications like adding or dropping filed, etc.

Apache Solr Applications

Application Usage

Intranet Portal

Easy access to search

Application launching

News and event notification

Single sign-on authentication

Federated Client

Simplified presentation

Search across all content

Authorized access only

Document viewing

Instrument Datasets

Optimized for scientists

Data dependent menus

Specialized grid filters

Regulatory Documents

Designed for researchers

Rich meta-data access

View document accelerator

Embedded in PLM Application

Offers better search experience than an RDBMS could provide

Late-binding security model

Document actions exposed on the toolbar

How to install Apache Solr?

Next, Wait for some time and then, Request is accepted after some time.

On the next page, Keep the settings default

Ensure you have the pem file of the key

You will see this success message

In EC2 console, Note the public DNS of your instance

To access Solr, Simply use the URL

in our case it becomes

Note: If you have trouble accessing the instance, change inbound and outbound rules in your instance to allow all traffic as shown in the below Solr query example:

Elasticsearch Vs. Apache Solr

Parameters Apache Solr Elastic Search

Nature It is an open source project. Not an open-sourced project.

Static status Static in shema.xml Static in elasticsearch.yml


Index Can be reloaded during runtime with collection/core reload Defined during index/type creation with a REST call

Documentation It is well documented. It is badly documented.

Splitting Shards Possible Not possible

Advantages of Apache Solr

Helps you to reduce the amount of time taken to locate Information

It is fast, simple, powerful and flexible search engine

Helps you to make your products and services more accessible

Increase customer spend on a web application

Helps you to improve user experience on the web application to increase revenue and profit

Comprehensive HTML based Administration Interface

Flexible and Adaptable with XML configuration

Extensible Plugin Architecture

Highly Scalable, robust, fault-tolerant search engine

Supports Distributed, Shading, Replication, Clustering and Multi-Node Architecture

DisAdvantages of Apache Solr

It is not an ACID compliant Data Store

It is not useful as a primary data store. Only useful as Secondary Data Store

Not offers support for transactions and distributed transactions

Not support Joins and Complex Queries

Not optimal for Normalized Data


Apache Solr is an Open-source REST-API based search server

Apache Solr was developed at CNET by Yonik Seeley as a part company in-house project

Apache Solr offers features like Auto-Completion and Geo-Spatial Search

Solr Core, Solr Instance, Indexing, Document, Restful APIs, Full-text search, Admin Interface, etc. are some key terms used in Apache Solr

Query, Request handler, Request writer and update handlers are some of the important components of Apache Solr

Intranet Portal, Federated Client, Instrument Datasets, Regulatory Documents, Embedded in PLM Application are useful Apache Solr Applications

Apache Solr is well documented compares to elastic search which is badly documented

The main drawback of this application It is not an ACID compliant Data Store

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