Mastering Apache Solr 7.x (eBook, ePUB)
An expert guide to advancing, optimizing, and scaling your enterprise search
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Accelerate your enterprise search engine and bring relevancy in your search analytics Key Features A practical guide in building expertise with Indexing, Faceting, Clustering and Pagination Master the management and administration of Enterprise Search Applications and services seamlessly Handle multiple data inputs such as JSON, xml, pdf, doc, xls,ppt, csv and much more. Book DescriptionApache Solr is the only standalone enterprise search server with a REST-like application interface. providing highly scalable, distributed search and index replication for many of the world's largest interne...
Accelerate your enterprise search engine and bring relevancy in your search analytics
Apache Solr is the only standalone enterprise search server with a REST-like application interface. providing highly scalable, distributed search and index replication for many of the world's largest internet sites.
To begin with, you would be introduced to how you perform full text search, multiple filter search, perform dynamic clustering and so on helping you to brush up the basics of Apache Solr. You will also explore the new features and advanced options released in Apache Solr 7.x which will get you numerous performance aspects and making data investigation simpler, easier and powerful. You will learn to build complex queries, extensive filters and how are they compiled in your system to bring relevance in your search tools. You will learn to carry out Solr scoring, elements affecting the document score and how you can optimize or tune the score for the application at hand. You will learn to extract features of documents, writing complex queries in re-ranking the documents. You will also learn advanced options helping you to know what content is indexed and how the extracted content is indexed. Throughout the book, you would go through complex problems with solutions along with varied approaches to tackle your business needs.
By the end of this book, you will gain advanced proficiency to build out-of-box smart search solutions for your enterprise demands.
The book would rightly appeal to developers, software engineers, data engineers and database architects who are building or seeking to build enterprise-wide effective search engines for business intelligence. Prior experience of Apache Solr or Java programming is must to take the best of this book.
Sandeep Nair has more than 11 years of experience of Java and Java EE technologies. His keen interest is in developing enterprise solutions using the Liferay platform, and he has been doing so for the past 9 years. He has executed projects using Liferay across various verticals, providing solutions for collaboration, enterprise content management, and web content management systems. He is also experienced with Java and Java EE. He has authored Liferay Beginner's Guide and Instant Liferay Portal 6 Starter. Travel, food, and books are his passions, besides coding. Chintan Mehta is a cofounder of KNOWARTH Technologies and heads the cloud/RIMS/DevOps team. He has rich, progressive experience in server administration of Linux, AWS Cloud, DevOps, and RIMS, and server administration on open source technologies. He is also an AWS Certified Solutions Architect. Chintan has authored MySQL 8 for BigData, MySQL 8 Administrator's Guide, and Hadoop Backup and Recovery Solutions, and has reviewed Liferay Portal Performance Best Practices and Building Serverless Web Applications. Dharmesh Vasoya is a Liferay 6.2 certified developer. He has 5.5 years of experience in application development with technologies such as Java, Liferay, Spring, Hibernate, Portlet, and JSF. He has successfully delivered projects in various domains, such as healthcare, collaboration, communication, and enterprise CMS, using Liferay. Dharmesh has good command of the configuration setup of servers such as Solr, Tomcat, JBOSS, and Apache Web Server. He has good experience of clustering, load balancing and performance tuning. He completed his MCA at Ahmedabad University.
Key Features
- A practical guide in building expertise with Indexing, Faceting, Clustering and Pagination
- Master the management and administration of Enterprise Search Applications and services seamlessly
- Handle multiple data inputs such as JSON, xml, pdf, doc, xls,ppt, csv and much more.
Book Description
Apache Solr is the only standalone enterprise search server with a REST-like application interface. providing highly scalable, distributed search and index replication for many of the world's largest internet sites.
To begin with, you would be introduced to how you perform full text search, multiple filter search, perform dynamic clustering and so on helping you to brush up the basics of Apache Solr. You will also explore the new features and advanced options released in Apache Solr 7.x which will get you numerous performance aspects and making data investigation simpler, easier and powerful. You will learn to build complex queries, extensive filters and how are they compiled in your system to bring relevance in your search tools. You will learn to carry out Solr scoring, elements affecting the document score and how you can optimize or tune the score for the application at hand. You will learn to extract features of documents, writing complex queries in re-ranking the documents. You will also learn advanced options helping you to know what content is indexed and how the extracted content is indexed. Throughout the book, you would go through complex problems with solutions along with varied approaches to tackle your business needs.
By the end of this book, you will gain advanced proficiency to build out-of-box smart search solutions for your enterprise demands.
What you will learn
- Design schema using schema API to access data in the database
- Advance querying and fine-tuning techniques for better performance
- Get to grips with indexing using Client API
- Set up a fault tolerant and highly available server with newer distributed capabilities, SolrCloud
- Explore Apache Tika to upload data with Solr Cell
- Understand different data operations that can be done while indexing
- Master advanced querying through Velocity Search UI, faceting and Query Re-ranking, pagination and spatial search
- Learn to use JavaScript, Python, SolrJ and Ruby for interacting with Solr
Who this book is for
The book would rightly appeal to developers, software engineers, data engineers and database architects who are building or seeking to build enterprise-wide effective search engines for business intelligence. Prior experience of Apache Solr or Java programming is must to take the best of this book.
Sandeep Nair has more than 11 years of experience of Java and Java EE technologies. His keen interest is in developing enterprise solutions using the Liferay platform, and he has been doing so for the past 9 years. He has executed projects using Liferay across various verticals, providing solutions for collaboration, enterprise content management, and web content management systems. He is also experienced with Java and Java EE. He has authored Liferay Beginner's Guide and Instant Liferay Portal 6 Starter. Travel, food, and books are his passions, besides coding. Chintan Mehta is a cofounder of KNOWARTH Technologies and heads the cloud/RIMS/DevOps team. He has rich, progressive experience in server administration of Linux, AWS Cloud, DevOps, and RIMS, and server administration on open source technologies. He is also an AWS Certified Solutions Architect. Chintan has authored MySQL 8 for BigData, MySQL 8 Administrator's Guide, and Hadoop Backup and Recovery Solutions, and has reviewed Liferay Portal Performance Best Practices and Building Serverless Web Applications. Dharmesh Vasoya is a Liferay 6.2 certified developer. He has 5.5 years of experience in application development with technologies such as Java, Liferay, Spring, Hibernate, Portlet, and JSF. He has successfully delivered projects in various domains, such as healthcare, collaboration, communication, and enterprise CMS, using Liferay. Dharmesh has good command of the configuration setup of servers such as Solr, Tomcat, JBOSS, and Apache Web Server. He has good experience of clustering, load balancing and performance tuning. He completed his MCA at Ahmedabad University.
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