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You're reading from  ElasticSearch Cookbook

Product typeBook
Published inDec 2013
Reading LevelBeginner
PublisherPackt
ISBN-139781782166627
Edition1st Edition
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Alberto Paro
Alberto Paro
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Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more about Alberto Paro

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Understanding node services


When a node is running, a lot of services are managed by its instance. Services provide additional functionalities to a node and they cover different behaviors such as networking, indexing, analyzing, and so on.

Getting ready

Every ElasticSearch server that is running provides services.

How it works...

ElasticSearch natively provides a large set of functionalities that can be extended with additional plugins. During a node startup, a lot of required services are automatically started. The most important are as follows:

  • Cluster services manage cluster state and intra-node communication and synchronization

  • Indexing service manages all the index operations, initializing all active indices and shards

  • Mapping service that manages the document types stored in the cluster (we'll discuss mapping in Chapter 3, Managing Mapping)

  • Network services, such as HTTP REST services (default on port 9200), internal ES protocol (on port 9300) and Thrift server (on port 9500 if thrift plugin is installed)

  • Plugin service (discussed in Chapter 2, Downloading and Setting Up ElasticSearch, for installation and Chapter 12, Plugin Development, for detailed usage)

  • River service (covered in Chapter 8, Rivers)

  • Language scripting services that allow adding new language scripting support to ElasticSearch

Note

Throughout the book, we'll see recipes that interact with ElasticSearch services. Every base functionality or extended functionality is managed in ElasticSearch as a service.

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Published in: Dec 2013Publisher: PacktISBN-13: 9781782166627
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Author (1)

author image
Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more about Alberto Paro