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ElasticSearch Blueprints

You're reading from   ElasticSearch Blueprints A practical project-based guide to generating compelling search solutions using the dynamic and powerful features of Elasticsearch

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Product type Paperback
Published in Jul 2015
Publisher Packt
ISBN-13 9781783984923
Length 192 pages
Edition 1st Edition
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Toc

Table of Contents (10) Chapters Close

Preface 1. Google-like Web Search 2. Building Your Own E-Commerce Solution FREE CHAPTER 3. Relevancy and Scoring 4. Managing Relational Content 5. Analytics Using Elasticsearch 6. Improving the Search Experience 7. Spicing Up a Search Using Geo 8. Handling Time-based Data Index

Shard allocation using curator


As seen earlier, the task of allocation of good machines to the desired index can be done using the curator tool, shown as follows:

curator  --host <IP> allocation --rule memory=16G indices  --timestring '%Y-%M-%D' --prefix "logstash-" --newer-than 2 --time-unit days

Here, we are telling curator to move all the indexes that are newer than the past 2 days to nodes that have memory attribute as the 16G value. With this process, the latest indices would be moved to better hardware, as follows:

curator  --host <IP> allocation --rule ram=8G indices   --timestring '%Y-%M-%D' --prefix "logstash-"  --older-than  2 --time-unit days

We also need to run the preceding command to make sure that the rest of indices are moved to normal nodes that have only 8GB main memory.

Opening and closing of indices

The opening or closing of indices can also be done using curator. An example of this would be:

curator  --host <IP> close   --timestring '%Y-%M-%D' --prefix "logstash...
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