Elastic Search(一)
一. 安装插件
Marvel集群管理
root@lj-ThinkPad-L460:~# sudo bin/plugin install license
root@lj-ThinkPad-L460:~# sudo bin/plugin install marvel-agent 访问 http://localhost:9200/_plugin/marvel/
Kibana 4.5.1可视化
root@lj-ThinkPad-L460:~# wget https://download.elastic.co/kibana/kibana/kibana-4.5.1-linux-x64.tar.gz
root@lj-ThinkPad-L460:~# vim config/kibana.yml
Set the elasticsearch.url
root@lj-ThinkPad-L460:~# ./bin/kibana 运行 访问 http://yourhost.com:5601
启动es
./elasticsearch --cluster.name my_cluster_name --node.name my_node_name
二.快速入门
管理
#1.cluster healthy
curl 'localhost:9200/_cat/health?v'
#2. nodes in our cluster
curl 'localhost:9200/_cat/nodes?v'
#3.list all indices
curl 'localhost:9200/_cat/indices?v'
customer例子
#1. create an index named "customer" and then list all the indexes again:
➜ ~ curl 'localhost:9200/_cat/indices?v'
➜ ~ curl 'localhost:9200/_cat/indices?v' #2. Let’s index a simple customer document into the customer index, "external" type, with an ID of 1
➜ ~ curl -XPUT 'localhost:9200/customer/external/1?pretty' -d '
{
"name": "John Doe"
}' # ip:port/index name/type/id
➜ ~ curl -XGET 'localhost:9200/customer/external/1?pretty'
{
"_index" : "customer",
"_type" : "external",
"_id" : "1",
"_version" : 1,
"found" : true,
"_source" : {
"name" : "John Doe" # full json
}
} #3. delete the index that we just created
# curl -X<REST Verb> <Node>:<Port>/<Index>/<Type>/<ID>
➜ ~ curl -XGET 'localhost:9200/customer/external/1?pretty' #4. batch processing
➜ ~ curl -XPOST 'localhost:9200/customer/external/_bulk?pretty' -d '
{"index":{"_id":"1"}}
{"name": "John ss" }
{"index":{"_id":"2"}}
{"name": "Jane Doe" }
'
bank例子
#1. download json file : https://github.com/bly2k/files/blob/mas
#2. load file
➜ ~ curl -XPOST 'localhost:9200/bank/account/_bulk?pretty' --data-binary "@accounts.json"
➜ ~ curl 'localhost:9200/_cat/indices?v'
health status index pri rep docs.count docs.deleted store.size pri.store.size
yellow open bank 5 1 1000 0 442.1kb 442.1kb
yellow open .marvel-es-1-2016.06.14 1 1 4816 26 1.9mb 1.9mb
yellow open .marvel-es-data-1 1 1 4 2 12.2kb 12.2kb
yellow open .kibana 1 1 1 0 3.1kb 3.1kb
yellow open customer 5 1 2 0 6.5kb 6.5kb #3. search api
➜ ~ curl 'localhost:9200/bank/_search?q=*&pretty'
{
"took" : 89, #time in milliseconds for Elasticsearch to execute the search
"timed_out" : false, #if the search timed out or not
"_shards" : { #how many shards were searched, as well as a count of the successful/failed searched shards
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : { #search results
"total" : 1000, # total number of documents matching our search criteria
"max_score" : 1.0,
"hits" : [ {
"_index" : "bank",
"_type" : "account",
"_id" : "25",
"_score" : 1.0,
"_source" : {
"account_number" : 25,
"balance" : 40540,
"firstname" : "Virginia",
"lastname" : "Ayala",
"age" : 39,
"gender" : "F",
"address" : "171 Putnam Avenue",
"employer" : "Filodyne",
"email" : "virginiaayala@filodyne.com",
"city" : "Nicholson",
"state" : "PA"
}
}, { # instead of passing q=* in the URI, we POST a JSON-style query : Json Query DSL
➜ ~ curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
{
"query": { "match_all": {} }
}'
➜ ~ curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
{
"query": { "match_all": {} },
"from": 10,
"size": 10,
"sort": { "balance": { "order": "desc" } },
"_source": ["account_number", "balance"] #显示的字段
}'
#where条件
➜ ~ curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
{
"query": { "match": { "account_number": 20 } }
}' # and or条件查询语法
➜ ~ curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
{
"query": {
"bool": {
"must": [
{ "match": { "address": "mill" } },
{ "match": { "address": "lane" } }
]
}
}
}'#"bool":bool型查询 #"must":and "should":or "must_not":neither..nor #范围查询
➜ ~ curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
{
"query": {
"bool": {
"must": { "match_all": {} },
"filter": {
"range": {
"balance": {
"gte": 20000,
"lte": 30000
}
}
}
}
}
}' # "gte":大于 "lte":小于 #group by
#SELECT state, COUNT(*) FROM bank GROUP BY state ORDER BY COUNT(*) DESC
➜ ~ curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
{
"size": 0,
"aggs": {
"group_by_state": {
"terms": {
"field": "state"
}
}
}
}'
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