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You're reading from  Elasticsearch 7.0 Cookbook. - Fourth Edition

Product typeBook
Published inApr 2019
Reading LevelBeginner
PublisherPackt
ISBN-139781789956504
Edition4th Edition
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Author (1)
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.
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Flushing an index

For performance reasons, Elasticsearch stores some data in memory and on a transaction log. If we want to free memory, we need to empty the transaction log, and to be sure that our data is safely written on disk, we need to flush an index.

Elasticsearch automatically provides periodic flushing on disk, but forcing flushing can be useful, for example:

  • When we need to shut down a node to prevent stale data
  • To have all the data in a safe state (for example, after a big indexing operation to have all the data flushed and refreshed)

Getting ready

You need an up-and-running Elasticsearch installation, as we described in the Downloading and installing Elasticsearch recipe in Chapter 1, Getting...

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Elasticsearch 7.0 Cookbook. - Fourth Edition
Published in: Apr 2019Publisher: PacktISBN-13: 9781789956504

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