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Mastering Elasticsearch - Second Edition

You're reading from   Mastering Elasticsearch - Second Edition Further your knowledge of the Elasticsearch server by learning more about its internals, querying, and data handling

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Product type Paperback
Published in Feb 2015
Publisher
ISBN-13 9781783553792
Length 434 pages
Edition 2nd Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 2. Power User Query DSL 3. Not Only Full Text Search 4. Improving the User Search Experience 5. The Index Distribution Architecture 6. Low-level Index Control 7. Elasticsearch Administration 8. Improving Performance 9. Developing Elasticsearch Plugins Index

NRT, flush, refresh, and transaction log


In an ideal search solution, when new data is indexed, it is instantly available for searching. When you start Elasticsearch, this is exactly how it works even in distributed environments. However, this is not the whole truth, and we will show you why it is like this.

Let's start by indexing an example document to the newly created index using the following command:

curl -XPOST localhost:9200/test/test/1 -d '{ "title": "test" }'

Now, let's replace this document, and let's try to find it immediately. In order to do this, we'll use the following command chain:

curl -XPOST localhost:9200/test/test/1 -d '{ "title": "test2" }' ; curl -XGET 'localhost:9200/test/test/_search?pretty'

The preceding command will probably result in a response that is very similar to the following one:

{"_index":"test","_type":"test","_id":"1","_version":2,"created":false}{
  "took" : 1,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "failed" :...
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