elasticsearchHow do I find the best book about Elasticsearch?
The best book about Elasticsearch depends on the reader's needs. For those who are just getting started with Elasticsearch, I recommend Elasticsearch: The Definitive Guide by Clinton Gormley and Zachary Tong. It provides an in-depth overview of Elasticsearch, from installation to data indexing and query optimization.
For those who need a more advanced guide, I recommend Elasticsearch in Action by Radu Gheorghe, Matthew Lee Hinman, and Roy Russo. This book goes beyond the basics and covers topics such as data analysis and advanced query optimization.
For those who are interested in the internals of Elasticsearch, I recommend Elasticsearch Server by Rafal Kuc. This book covers topics such as cluster architecture, distributed search, and indexing strategies.
For those who need a comprehensive guide to all aspects of Elasticsearch, I recommend Elasticsearch Cookbook by Alberto Paro. This book covers topics such as installation, data indexing, query optimization, and data analysis.
Finally, for those who need to learn the basics of Elasticsearch quickly, I recommend Getting Started with Elasticsearch by Bharvi Dixit. This book covers the fundamentals of Elasticsearch in an easy-to-understand format.
No matter which book you choose, you can be sure that you will get the best possible introduction to Elasticsearch.
Example code
GET /_search
{
"query": {
"match_all": {}
}
}
Output example
{
"took" : 3,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 10,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "my_index",
"_type" : "_doc",
"_id" : "1",
"_score" : 1.0,
"_source" : {
"title" : "My Document"
}
},
{
"_index" : "my_index",
"_type" : "_doc",
"_id" : "2",
"_score" : 1.0,
"_source" : {
"title" : "Another Document"
}
},
// more results
]
}
}
Code explanation
GET /_search
- This is the API endpoint used to query Elasticsearch.{ "query": { "match_all": {} } }
- This is the query that is sent to Elasticsearch. It is a simple query that matches all documents in the index."took" : 3
- This is the amount of time it took for Elasticsearch to process the query."total" : { "value" : 10, "relation" : "eq" }
- This is the total number of documents that matched the query."hits" : [ { "_index" : "my_index", "_type" : "_doc", "_id" : "1", "_score" : 1.0, "_source" : { "title" : "My Document" } }, { "_index" : "my_index", "_type" : "_doc", "_id" : "2", "_score" : 1.0, "_source" : { "title" : "Another Document" } }, // more results ]
- This is the list of documents that matched the query. Each document has an index, type, ID, score, and source.
Helpful links
More of Elasticsearch
- How do I set up an Elasticsearch Yum repository?
- How can I use Elasticsearch and ZFS together?
- How can I use YouTube to learn about Elasticsearch?
- How do I configure the Xms and Xmx settings for Elasticsearch?
- How do I configure Elasticsearch shards?
- How can I use Elasticsearch and Zabbix together for software development?
- How can I use Elasticsearch and MongoDB together to optimize my software development process?
- What is Elasticsearch and how is it used?
- How do I use an Elasticsearch keystore?
- How can I use regular expressions with Elasticsearch?
See more codes...