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Mastering Apache Solr 7.x

Mastering Apache Solr 7.x

By : Nair, Mehta, Dharmesh Vasoya
3.8 (5)
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Mastering Apache Solr 7.x

Mastering Apache Solr 7.x

3.8 (5)
By: Nair, Mehta, Dharmesh Vasoya

Overview of this book

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.
Table of Contents (10 chapters)
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JVM configuration


One of the things that you need to take particular care of when you are working on any Java-based application is configuring the JVM optimally, and Solr is no exception.

Managing the memory heap 

Anyone who has worked with Java-based applications would have surely come across setting the heap space. We do it using -Xms and -Xmx. Suppose I set following the command-line option:

-Xms256m-Xmx2048m

Here, Xms specifies our initial memory allocation pool, whereas Xmx specifies the maximum memory allocation pool for JVM. In the case we just saw, our JVM will start with 256 MB of memory and will be able to use up to 2 GB of memory.

If we require more heap space, then we can increase -Xms. We can also decide not to give any initial heap space at all and let JVM use the heap space as per the need, but this may increase our startup time. Similarly, failing to set up the maximum heap size properly can result in OutOfMemoryException. Proper garbage collection JVM parameters should be set...

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