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Advanced Elasticsearch 7.0

You're reading from   Advanced Elasticsearch 7.0 A practical guide to designing, indexing, and querying advanced distributed search engines

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781789957754
Length 560 pages
Edition 1st Edition
Languages
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Author (1):
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Wai Tak Wong Wai Tak Wong
Author Profile Icon Wai Tak Wong
Wai Tak Wong
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Table of Contents (25) Chapters Close

Preface 1. Section 1: Fundamentals and Core APIs FREE CHAPTER
2. Overview of Elasticsearch 7 3. Index APIs 4. Document APIs 5. Mapping APIs 6. Anatomy of an Analyzer 7. Search APIs 8. Section 2: Data Modeling, Aggregations Framework, Pipeline, and Data Analytics
9. Modeling Your Data in the Real World 10. Aggregation Frameworks 11. Preprocessing Documents in Ingest Pipelines 12. Using Elasticsearch for Exploratory Data Analysis 13. Section 3: Programming with the Elasticsearch Client
14. Elasticsearch from Java Programming 15. Elasticsearch from Python Programming 16. Section 4: Elastic Stack
17. Using Kibana, Logstash, and Beats 18. Working with Elasticsearch SQL 19. Working with Elasticsearch Analysis Plugins 20. Section 5: Advanced Features
21. Machine Learning with Elasticsearch 22. Spark and Elasticsearch for Real-Time Analytics 23. Building Analytics RESTful Services 24. Other Books You May Enjoy

Index persistence

Elasticsearch solves the persistence in different ways. The transaction log, translog, and the temporary storage in-memory buffer are used during index operations. Later, the data in the in-memory buffer will move to a new segment. Finally, segments will be flushed to the disk storage. A few APIs that manage the persistent stage of the indexed data are as follows:

  • Clear Cache: When Elasticsearch determines that a bitset is likely to be reused in the future, it will be cached directly in memory and reuse it as needed. This API allows you to clear all caches or specific caches such as query, request, and field data for one or more indices.

The following is an example of clearing the query cache of the cf_view index:

The following is an example of clearing the shard request cache of the cf_view index:

The following is an example of clearing the field data cache...

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