Book Image

Learning ELK Stack

By : Saurabh Chhajed
Book Image

Learning ELK Stack

By: Saurabh Chhajed

Overview of this book

Table of Contents (17 chapters)
Learning ELK Stack
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Elasticsearch Query DSL


The queries that we saw until now were basic commands that were used to retrieve data, but the actual power of Elasticsearch's querying lies in a robust Query Domain Specific Language based on JSON also called Query DSL. Kibana makes extensive use of Query DSL in order to get results in a desired format for you. You almost never really have to worry about writing the query JSON, as Kibana will automatically create and put the results in a nice format.

For example, in order to get only three results out of all the matching ones, we can specify it like this:

curl -XPOST 'localhost:9200/logstash-*/_search' -d '
{
  "query": { "match_all": {} },
  "size": 3
}'

The response is as follows, which contains three documents matching the search:

{
  "took" : 390,
  "timed_out" : false,
  "_shards" : {
    "total" : 640,
    "successful" : 640,
    "failed" : 0
  },
  "hits" : {
    "total" : 128,
    "max_score" : 1.0,
    "hits" : [{
        "_index" : "logstash-2014.07.01",...