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Introduction to
ElasticSearch
Ashish
@ashish_fagna
Elasticsearch
real time,
search and
analytics engine
Elasticsearch
real time,
search and
analytics engine
distributed
real time,
search and
analytics engine
distributed
scales
massively Elasticsearch
Elasticsearch
real time,
search and
analytics engine
distributed
scales
massively
high
availability
Elasticsearch
real time,
search and
analytics engine
distributed
scales
massively
high
availability
RESTful API
Elasticsearch
real time,
search and
analytics engine
distributed
scales
massively
high
availability
RESTful
API
JSON
over HTTP
Elasticsearch
real time,
search and distributed
scales
massively
high
availability
RESTful
API
JSON
over HTTP
schema
analytics enginefree
Elasticsearch
real time,
search and
analytics engine
distributed
scales
massively
RESTful
API
JSON
over HTTP
high
availability
schema
free
multi
tenancy
Elasticsearch
real time,
search and
analytics engine
distributed
open-source
scales
massively
RESTful
API
JSON
over HTTP
high
availability
schema
free
multi
tenancy
Elasticsearch
real time,
search and
analytics engine
Lucene
based
distributed
open-source
scales
massively
RESTful
API
JSON
over HTTP
high
availability
schema
free
multi
tenancy
> ./bin/elasticsearch
> _
Usage
> curl -XGET localhost:9200/?pretty
> curl -XGET localhost:9200/?pretty
verb
> curl -XGET localhost:9200/?pretty
node
> curl -XGET localhost:9200/?pretty
HTTP port
> curl -XGET localhost:9200/?pretty
path
> curl -XGET localhost:9200/?pretty
query string
> curl -XGET localhost:9200/?pretty
GET /
GET /
{
Man",
for Search",
: "Exploding
: "You Know,
: true,
: 200,
: {
"name"
"tagline"
"ok"
"status"
"version"
"number"
"snapshot_build"
: "0.90.1",
: false
}
}
Where do we start?
With data
{
is AWESOME","tweet":
"nick":
"name":
"date":
"rt" :
"loc":
"lat":
"lon":
"I think #elasticsearch
"@ashish",
"Ashish K",
"2016-01-01",
5,
{
13.4,
52.5
}
Saving in ElasticSearch
PUT /index/type/id
PUT /index/type/id
where?
PUT /myapp/type/id
PUT /myapp/type/id
what?
PUT /myapp/tweet/id
PUT /myapp/tweet/id
which?
PUT /myapp/tweet/1
PUT /myapp/tweet/1 -d '
{
is AWESOME","I think #elasticsearch
"@ashish",
"Ashish Kumar",
"2013-06-03",
5,
{
77,
13.5
"tweet":
"nick":
"name":
"date":
"rt":
"loc":
"lat":
"lon":
}
}
'
{
"_index":
"_type":
"_id":
"_version":
"ok":
"myapp",
"tweet",
"1",
1,
true
}
# 201 CREATED
Get
GET /myapp/tweet/1
{
"_index":
"_type":
"_id":
"_version":
"exists":
"_source":
"myapp",
"tweet",
"1",
1,
true,
{ ...OUR TWEET... }
}
# 200 OK
Update
PUT /myapp/tweet/1 -d '
{
is AWESOME","I know #elasticsearch
"@ashish",
"Ashish Kumar",
"2016-01-01",
5,
{
77,
13.5
"tweet":
"nick":
"name":
"date":
"rt":
"loc":
"lat":
"lon":
}
}
'
{
"_index":
"_type":
"_id":
"_version":
"ok":
"myapp",
"tweet",
"1",
2,
true
}
# 200 OK
Delete
DELETE /myapp/tweet/1
{
"_index": "myapp",
"_type": "tweet",
"_id": "1",
"_version": 3,
"ok": true,
"found": true
}
# 200 OK
Cheaper in bulk
Any
datastore
Elasticsearch
Client
Mirror external DB
Any
datastore
Elasticsearch
Client
Standalone
"Empty" Search
GET /_search
GET /_search
{
"took" : 2,
}
GET /_search
{
"took" :
"timed_out" :
2,
false,
}
GET /_search
{
2,
false,
"took" :
"timed_out" :
"_shards" : {
"total" : 10,
"successful" : 10,
"failed" : 0
},
}
GET /_search
{
2,
false,
"took" :
"timed_out" :
"_shards" : {
"total" : 10,
"successful" : 10,
"failed" : 0
14,
: 1.0,
[ { ... }]
},
"hits" : {
"total" :
"max_score"
"hits" :
}
}
GET /_search
"de",
"tweet",
"4",
: { ... },
1.0,
"hits" : [
{
"_index" :
"_type" :
"_id" :
"_source"
"_score" :
},
...
]
Multi-index
Multi-type
GET /index/_search
GET /index/_search
GET /index1,index2/_search
GET /index/_search
GET /index1,index2/_search
GET /ind*/_search
GET /index/_search
GET /index1,index2/_search
GET /ind*/_search
GET /index/type/_search
GET /index/_search
GET /index1,index2/_search
GET /ind*/_search
GET /index/type/_search
GET /index/type1,type2/_search
GET /index/_search
GET /index1,index2/_search
GET /ind*/_search
GET /index/type/_search
GET /index/type1,type2/_search
GET /index/type*/_search
GET /index/_search
GET /index1,index2/_search
GET /ind*/_search
GET /index/type/_search
GET /index/type1,type2/_search
GET /index/type*/_search
GET /_all/type*/_search
Pagination
Pagination
size = num of results
Pagination
size = num of results
from = results to skip
GET /_search?size=5&from=0
GET /_search?size=5&from=5
GET /_search?size=5&from=10
Search Lite
Search Lite
GET /_search?q=name:john
+tweet:foo +name:john +date:>2013-05-01
+tweet:foo +name:john +date:>2013-05-01
→ percent encoding →
+tweet:foo +name:john +date:>2013-05-01
?q=%2Btweet%3Afoo+%2Bname%3Ajohn+
%2Bdate%3A%3E2013-05-01
→ percent encoding →
GET /_search?q=mary
→ user named "Mary"
→ tweets by "Mary"
→ tweet mentioning "@mary"
GET /_search?q=mary
GET /_search?q=_all:mary
→ user named "Mary"
→ tweets by "Mary"
→ tweet mentioning "@mary"
_all field
string values from
all other fields
GET /_search?q=2016
GET /_search?q=2016
GET /_search?q=2016-01-01
GET /_search?q=2016
GET /_search?q=2016-01-03
GET /_search?q=date:2016-01-03
GET /_search?q=date:2016
datatype differences?
check "mapping"
(field definitions)
GET /myapp/tweet/_mapping
GET /myapp/tweet/_mapping
{
"tweet" : {
"properties" : {
"tweet" : { "type" : "string" },
"name" : { "type" : "string" },
"nick" : { "type" : "string" },
"date" : { "type" : "date" },
"rt" : { "type" : "long" },
: "double" },
: "double" }
"loc" : {
"type": "object",
"properties" : {
"lat" : { "type"
"lon" : { "type"
}
}
}}}
date = type:date
_all = type:string
normalize terms
"Analysis"
"Analysis"
tokenization + normalization
"Analysers"
tokenizer + token filters
standard analyzer
"The Quick Brown Fox jumped
over the Lazy Dog!"
standard analyzer
→ standard tokenizer
"The Quick Brown Fox jumped
over the Lazy Dog!"
standard analyzer
→ standard tokenizer
The,Quick,Brown,Fox,jumped,
over,the,Lazy,Dog
standard analyzer
→ standard tokenizer
→ lowercase filter
The,Quick,Brown,Fox,jumped,
over,the,Lazy,Dog
standard analyzer
→ standard tokenizer
→ lowercase filter
the,quick,brown,fox,jumped,
over,the,lazy,dog
standard analyzer
→ standard tokenizer
→ lowercase filter
→ stopwords filter
the,quick,brown,fox,jumped,
over,the,lazy,dog
standard analyzer
→ standard tokenizer
→ lowercase filter
→ stopwords filter
,quick,brown,fox,jumped,
over, ,lazy,dog
english analyzer
→ standard tokenizer
→ lowercase filter
the,quick,brown,fox,jumped,
over,the,lazy,dog
Analyzer
{
"type" : "string"
"type" : "string"
},
},
"string",
"not_analyzed"
{ "type"
{ "type"
{ "type"
: "date" },
: "long" },
: "geo_point" }
"tweet" : {
"properties" : {
"tweet" : {
"name" : {
"nick" : {
"type" :
"index" :
},
"date" :
"rt" :
"loc" :
}}}
{
"tweet" : {
"properties" : {
"tweet" : {
"type" : "string",
"analyzer" : "english"
},
},
"name" :
"nick" :
"type"
"index"
{ "type" : "string"
{
:
:
"string",
"not_analyzed"
},
"date" :
"rt" :
{
{
"type" :
"type" :
"date"
"long"
},
},
}}}
"loc" : { "type" : "geo_point" }
Thank You

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