注:本文档中除无特别说明,请求方式均为
GET
。所有的请求均在Sense
中测试通过
遵循的格式为
curl -X<REST Verb> <Node>:<Port>/<Index>/<Type>/<ID>
epoch timestamp cluster status node.total node.data shards pri relo init unassign pending_tasks
1441940569 11:02:49 elasticsearch yellow 1 1 7 7 0 0 7 0
host ip heap.percent ram.percent load node.role master name
acer 169.254.9.202 32 52 d * Mys-Tech
health status index pri rep docs.count docs.deleted store.size pri.store.size
yellow open .marvel-2015.09.11 1 1 3233 0 10.5mb 10.5mb
yellow open .marvel-2015.09.10 1 1 1996 0 3.9mb 3.9mb
yellow open news 5 1 3455 0 17.8mb 17.8mb
使用PUT
请求创建一个countries的索引
curl -XPUT http://127.0.0.1:9200/countries?pretty
输出:
{
"acknowledged": true
}
查看索引列表
curl -XGET http://127.0.0.1:9200/_cat/indices?v
输出:
health status index pri rep docs.count docs.deleted store.size pri.store.size
yellow open countries 5 1 0 0 575b 575b
yellow open .marvel-2015.09.11 1 1 3436 0 11.4mb 11.4mb
yellow open .marvel-2015.09.10 1 1 1996 0 3.9mb 3.9mb
yellow open news 5 1 3455 0 17.8mb 17.8mb
- 使用自定义id索引文档
使用PUT
请求创建一个索引为countries
类型为country
的文档。其文档编号为1
,文档内容包含name
和capital
curl -XPUT http://127.0.0.1:9200/countries/country/1?pretty -d '
{
"name": "中国",
"capital": "北京"
}'
输出:
{
"_index": "countries",
"_type": "country",
"_id": "1",
"_version": 1,
"created": true
}
- 使用系统分配的id索引文档
curl -XPOST http://127.0.0.1:9200/countries/country?pretty -d '
{
"name": "韩国",
"capital": "首尔"
}'
注意:使用系统分配的id时使用POST
方式提交文档,且在索引\类型
url格式中不再有id
输出:
{
"_index": "countries",
"_type": "country",
"_id": "AU-6awteDgxJZYVN-E5I",
"_version": 1,
"created": true
}
使用自定义id查询文档
curl -XGET http://127.0.0.1:9200/countries/country/1?pretty
输出:
{
"_index": "countries",
"_type": "country",
"_id": "1",
"_version": 1,
"found": true,
"_source": {
"name": "中国",
"capital": "北京"
}
}
使用系统分配的id查询
GET http://127.0.0.1:9200/countries/country/AU-6awteDgxJZYVN-E5I?pretty
输出:
{
"_index": "countries",
"_type": "country",
"_id": "AU-6awteDgxJZYVN-E5I",
"_version": 1,
"found": true,
"_source": {
"name": "韩国",
"capital": "首尔"
}
}
GET http://127.0.0.1:9200/countries/
输出:
{
"countries": {
"aliases": {},
"mappings": {
"country": {
"properties": {
"capital": {
"type": "string"
},
"name": {
"type": "string"
}
}
}
},
"settings": {
"index": {
"creation_date": "1441941497754",
"uuid": "UaoQ_WCATaiy5w736cjw2A",
"number_of_replicas": "1",
"number_of_shards": "5",
"version": {
"created": "1070199"
}
}
},
"warmers": {}
}
}
删除myindex
索引
DELETE http://127.0.0.1:9200/myindex/?pretty
输出:
{
"acknowledged": true
}
根据文档id索引或替换文档,若存在则修改替换,否则索引该文档。
- 使用已存在的id
修改文档id为1的国家信息。
PUT 'http://127.0.0.1:9200/countries/country/1?pretty'
{
"name": "日本",
"capital": "东京"
}
查询其是否已修改
GET http://127.0.0.1:9200/countries/country/1?pretty
输出:
{
"_index": "countries",
"_type": "country",
"_id": "1",
"_version": 2,
"found": true,
"_source": {
"name": "日本",
"capital": "东京"
}
}
可见国家信息已由中国
变为日本
,其首都信息也发生了变化
- 使用不存在的id则是索引文档
PUT http://127.0.0.1:9200/countries/country/2?pretty
{
"name": "澳大利亚",
"capital": "悉尼"
}
输出:
{
"_index": "countries",
"_type": "country",
"_id": "2",
"_version": 1,
"created": true
}
- 按doc方式更新文档
以doc
方式修改文档id为1的文档
POST http://127.0.0.1:9200/countries/country/1/_update?pretty
{
"doc": { "name": "美国","capital": "华盛顿"}
}
其中doc
是固定写法,其内容为要修改的文档内容
- 按script方式更新文档
以script
方式修改文档id为1的文档
POST http://127.0.0.1:9200/countries/country/1/_update?pretty
{
"script": "ctx._source.name=\"加拿大\";ctx._source.capital=\"渥太华\""
}
- 按文档id删除
DELETE http://127.0.0.1:9200/countries/country/1?pretty
输出:
{
"found": true,
"_index": "countries",
"_type": "country",
"_id": "1",
"_version": 6
}
- 根据查询结果删除
DELETE http://127.0.0.1:9200/countries/country/_query?pretty
{
"query": { "match": { "name": "美国" } }
}
输出:
{
"_indices": {
"countries": {
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
}
}
}
}
查询是否还有name为美国的文档
GET http://127.0.0.1:9200/countries/country/_query
{
"query": { "match_all": { "name": "美国" } }
}
_bulk api
https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-bulk.html
遵循格式
/_bulk, /{index}/_bulk, {index}/{type}/_bulk
action_and_meta_data\n
optional_source\n
action_and_meta_data\n
optional_source\n
支持的action有index
, create
, delete
, update
index
和create
在下一行跟上要索引的doc
delete
则不需要
update
在下一行跟上doc
或script
- 批量索引文档
POST http://127.0.0.1:9200/countries/country/_bulk?pretty
{"index":{"_id":"1"}}
{"name": "中国","capital": "北京"}
{"index":{"_id":"2"}}
{"name": "美国","capital": "华盛顿"}
{"index":{"_id":"3"}}
{"name": "日本","capital": "东京"}
{"index":{"_id":"4"}}
{"name": "澳大利亚","capital": "悉尼"}
{"index":{"_id":"5"}}
{"name": "印度","capital": "新德里"}
{"index":{"_id":"6"}}
{"name": "韩国","capital": "首尔"}
以上请求将会批量索引6个文档。
输出:
{
"took": 4,
"errors": false,
"items": [
{
"index": {
"_index": "countries",
"_type": "country",
"_id": "1",
"_version": 1,
"status": 201
}
},
{
"index": {
"_index": "countries",
"_type": "country",
"_id": "2",
"_version": 2,
"status": 200
}
},
{
"index": {
"_index": "countries",
"_type": "country",
"_id": "3",
"_version": 1,
"status": 201
}
},
{
"index": {
"_index": "countries",
"_type": "country",
"_id": "4",
"_version": 1,
"status": 201
}
},
{
"index": {
"_index": "countries",
"_type": "country",
"_id": "5",
"_version": 1,
"status": 201
}
},
{
"index": {
"_index": "countries",
"_type": "country",
"_id": "6",
"_version": 1,
"status": 201
}
}
]
}
- 批量执行,含index、create、delete、update
POST http://127.0.0.1:9200/countries/country/_bulk?pretty
{"index":{"_id":"7"}}
{"name": "新加坡","capital": "渥太华"}
{"create":{"_id":"8"}}
{"name": "德国","capital": "柏林"}
{"update":{"_id":"1"}}
{"doc": {"name": "法国","capital": "巴黎" }}
{"update":{"_id":"3"}}
{"script": "ctx._source.name = \"法国\";ctx._source.capital = \"巴黎\""}
{"delete":{"_id":"2"}}
输出:
{
"took": 40,
"errors": false,
"items": [
{
"index": {
"_index": "countries",
"_type": "country",
"_id": "7",
"_version": 1,
"status": 201
}
},
{
"create": {
"_index": "countries",
"_type": "country",
"_id": "8",
"_version": 1,
"status": 201
}
},
{
"update": {
"_index": "countries",
"_type": "country",
"_id": "1",
"_version": 2,
"status": 200
}
},
{
"update": {
"_index": "countries",
"_type": "country",
"_id": "3",
"_version": 2,
"status": 200
}
},
{
"delete": {
"_index": "countries",
"_type": "country",
"_id": "2",
"_version": 3,
"status": 200,
"found": true
}
}
]
}
- 导入数据
countries.json
{"index":{"_id":"1"}}
{"name": "新加坡","capital": "渥太华"}
{"index":{"_id":"2"}}
{"name": "韩国","capital": "首尔"}
{"index":{"_id":"3"}}
{"name": "朝鲜","capital": "平壤"}
{"index":{"_id":"4"}}
{"name": "日本","capital": "东京"}
{"index":{"_id":"5"}}
{"name": "马来西亚","capital": "吉隆坡"}
使用curl的--data-binary
参数导入数据
curl XPOST http://127.0.0.1:9200/countries/country/_bulk?pretty --data-binary @countries.json
或者使用postman导入
http://127.0.0.1:9200/countries/country/_bulk?pretty
{"index":{"_id":"1"}}
{"name": "新加坡","capital": "渥太华"}
{"index":{"_id":"2"}}
{"name": "韩国","capital": "首尔"}
{"index":{"_id":"3"}}
{"name": "朝鲜","capital": "平壤"}
{"index":{"_id":"4"}}
{"name": "日本","capital": "东京"}
{"index":{"_id":"5"}}
{"name": "马来西亚","capital": "吉隆坡"}
- GET方式搜索(queryString)
GET http://127.0.0.1:9200/countries/_search?q=*&pretty
注:q=*
将匹配索引中的所有文档
输出:
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 10,
"max_score": 1,
"hits": [
{
"_index": "countries",
"_type": "country",
"_id": "4",
"_score": 1,
"_source": {
"name": "日本",
"capital": "东京"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "_query",
"_score": 1,
"_source": {
"query": {
"match_all": {
"name": "美国"
}
}
}
},
{
"_index": "countries",
"_type": "country",
"_id": "5",
"_score": 1,
"_source": {
"name": "印度",
"capital": "新德里"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "6",
"_score": 1,
"_source": {
"name": "韩国",
"capital": "首尔"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "1",
"_score": 1,
"_source": {
"name": "新加坡",
"capital": "渥太华"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "7",
"_score": 1,
"_source": {
"name": "新加坡",
"capital": "渥太华"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "2",
"_score": 1,
"_source": {
"name": "韩国",
"capital": "首尔"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "AU-6awteDgxJZYVN-E5I",
"_score": 1,
"_source": {
"name": "韩国",
"capital": "首尔"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "8",
"_score": 1,
"_source": {
"name": "德国",
"capital": "柏林"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "3",
"_score": 1,
"_source": {
"name": "朝鲜",
"capital": "平壤"
}
}
]
}
}
- POST方式搜索(含请求体query)
POST http://127.0.0.1:9200/countries/_search?pretty
{
"query": {
"match_all": {}
}
}
输出:
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 10,
"max_score": 1,
"hits": [
{
"_index": "countries",
"_type": "country",
"_id": "4",
"_score": 1,
"_source": {
"name": "日本",
"capital": "东京"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "_query",
"_score": 1,
"_source": {
"query": {
"match_all": {
"name": "美国"
}
}
}
},
{
"_index": "countries",
"_type": "country",
"_id": "5",
"_score": 1,
"_source": {
"name": "印度",
"capital": "新德里"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "6",
"_score": 1,
"_source": {
"name": "韩国",
"capital": "首尔"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "1",
"_score": 1,
"_source": {
"name": "新加坡",
"capital": "渥太华"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "7",
"_score": 1,
"_source": {
"name": "新加坡",
"capital": "渥太华"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "2",
"_score": 1,
"_source": {
"name": "韩国",
"capital": "首尔"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "AU-6awteDgxJZYVN-E5I",
"_score": 1,
"_source": {
"name": "韩国",
"capital": "首尔"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "8",
"_score": 1,
"_source": {
"name": "德国",
"capital": "柏林"
}
},
{
"_index": "countries",
"_type": "country",
"_id": "3",
"_score": 1,
"_source": {
"name": "朝鲜",
"capital": "平壤"
}
}
]
}
}
- 限定返回条目
POST http://127.0.0.1:9200/countries/_search?pretty
{
"query": {
"match_all": {}
},
"size": 1
}
size
控制返回条目,默认为10
输出:
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 10,
"max_score": 1,
"hits": [
{
"_index": "countries",
"_type": "country",
"_id": "4",
"_score": 1,
"_source": {
"name": "日本",
"capital": "东京"
}
}
]
}
}
- 分页(form,size)
POST http://127.0.0.1:9200/countries/_search?pretty
{
"query": {
"match_all": {}
},
"from": 2,
"size": 2
}
使用from
和size
来翻页。其中form
默认为0
,size
默认为10
- 排序(sort)
POST http://127.0.0.1:9200/countries/_search?pretty
{
"query": {
"match_all": {}
},
"sort": [
{
"name": {
"order": "desc"
}
}
]
}
其中name
为排序字段
POST http://127.0.0.1:9200/countries/_search?pretty
{
"query": {
"match_all": {}
},
"_source": ["name"]
}
使用_source
来限定返回的字段。这里只返回name
- match_phrase
POST http://127.0.0.1:9200/countries/_search?pretty
{
"query": {
"match_phrase": {
"name": "韩国"
}
}
}
- must
POST http://127.0.0.1:9200/countries/_search?pretty
{
"query": {
"bool": {
"must": [
{"match": {
"name": "日本"
}},
{"match": {
"capital": "东京"
}}
]
}
}
}
- should
POST http://127.0.0.1:9200/countries/_search?pretty
{
"query": {
"bool": {
"should": [
{"match": {
"name": "日本"
}},
{"match": {
"name": "韩国"
}}
]
}
}
}
- must_not
POST http://127.0.0.1:9200/countries/_search?pretty
{
"query": {
"bool": {
"must_not": [
{"match": {
"name": "日本"
}},
{"match": {
"name": "韩国"
}}
]
}
}
}
- filter
POST http://127.0.0.1:9200/countries/_search?pretty
{
"query": {
"match_all": {}
},
"filter": {
"term": {
"capital": "东京"
}
}
}
- 聚合(aggs)
POST http://127.0.0.1:9200/countries/_search?pretty
{
"size": 0,
"aggs": {
"group_by_name": {
"terms": {
"field": "name"
}
}
}
}
按name
统计分组文档数
输出:
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 10,
"max_score": 0,
"hits": []
},
"aggregations": {
"group_by_name": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "韩国",
"doc_count": 3
},
{
"key": "新加坡",
"doc_count": 2
},
{
"key": "印度",
"doc_count": 1
},
{
"key": "德国",
"doc_count": 1
},
{
"key": "日本",
"doc_count": 1
},
{
"key": "朝鲜",
"doc_count": 1
}
]
}
}
}
POST http://127.0.0.1:9200/news/_search?q=李克强
{
"query" : {
match_all:{}
},
"highlight" : {
"pre_tags" : ["<font color='red'>", "<b>", "<em>"],
"post_tags" : ["</font>", "<b>", "</em>"],
"fields" : [
{"title" : {}},
{"content" : {
"fragment_size" : 350,
"number_of_fragments" : 3,
"no_match_size": 150
}}
]
}
}
POST http://127.0.0.1:9200/news/_search?q=李克强
{
"query" : {
match_all:{}
},
"highlight" : {
"pre_tags" : ["<font color='red'><b><em>"],
"post_tags" : ["</font><b></em>"],
"fields" : [
{"title" : {}},
{"content" : {
"fragment_size" : 350,
"number_of_fragments" : 3,
"no_match_size": 150
}}
]
}
}
https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-delete-index.html
DELETE http://127.0.0.1:9200/news
https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-create-index.html
PUT http://127.0.0.1:9200/news
https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-put-mapping.html
PUT /{index}/_mapping/{type}
PUT http://127.0.0.1:9200/news/_mapping/article
{
"article": {
"properties": {
"pubdate": {
"type": "date",
"format": "dateOptionalTime"
},
"author": {
"type": "string"
},
"content": {
"type": "string"
},
"id": {
"type": "long"
},
"source": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
}
}
}
https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-get-mapping.html
GET http://127.0.0.1:9200/_all/_mapping
GET http://127.0.0.1:9200/_mapping
GET http://127.0.0.1:9200/news/_mapping/article
输出:
{
"news": {
"mappings": {
"article": {
"properties": {
"author": {
"type": "string"
},
"content": {
"type": "string"
},
"id": {
"type": "long"
},
"pubdate": {
"type": "date",
"store": true,
"format": "yyyy-MM-dd HH:mm:ss"
},
"source": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
}
}
}
}
}
https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-delete-mapping.html
[DELETE] /{index}/{type}
[DELETE] /{index}/{type}/_mapping
[DELETE] /{index}/_mapping/{type}
DELETE http://127.0.0.1:9200/news/_mapping/article
http://127.0.0.1:9200/news/_analyze?analyzer=ansj_index&text=习近平
http://127.0.0.1:9200/news/_analyze?analyzer=ansj_index&text=我是中国人
- 普通查询
http://127.0.0.1:9200/news/_search?q=习近平&analyzer=ansj_index&size=50
- 指定term查询
http://127.0.0.1:9200/news/_search?q=content:江泽民&analyzer=ansj_index&size=50
http://127.0.0.1:9200/news/_search?q=title:江泽民&analyzer=ansj_index&size=50
http://127.0.0.1:9200/news/_search?q=source:新华网&analyzer=ansj_index&size=50
- 其中
ansj_index
为在elasticsearch.yml
文件中配置的ansj
分词器