以下操作在kibana中进行, 如果在linux的shell中, 请使用
curl -Xget 'http://node1:9200/index/type/id' -d '{ ... }' 的形式, 其中 -d 是传参
1, 获取集群状态
1), 查看健康状况:
GET /_cat/health?v
2), 查看节点:
GET /_cat/nodes?v
2, index操作(类似数据库databases)
1, index操作
1), 创建数据库
put lag{ "settings": { "index": { "number_of_shards": 5, "number_of_replicas": 1 } }}
2), 修改settings
分片不可以更改, 副本可以更改
put lag/_settings{ "number_of_shards": 3} 3), 获取所有的索引
get _all
获取索引
get lag/_settingsget _all/settingsget .kibana,lagou/_settingsget _settings
4), 查看所有index
GET /_cat/indices?v
5), 创建数据
put customer/_doc/1?pretty{ "name": "vini"} 4), 查询
get customer/_doc/1?pretty
5), 删除index
delete customer?pretty
GET /_cat/indices?v
2, document操作(类似记录 record)
1), 保存文档
index/type/id 不指定id的话, 会自动生成uuid
put lag/job/1{ "title": 'python 爬虫“, ‘salary”: 15000, ’city‘: ’bj‘, ’company“: { "name": "Baidu", "company_addr": "bj" }, "publish_date": "2018"} 2), 获取文档
get lagou/job/1
或者
看下面query
3), 修改数据
PUT /customer/_doc/1/_update?pretty{ "name": "wenbronk"} 就可以将原来的name进行更改
4), 使用post进行修改, 只修改某些字段
只能更新已经存在的id, 增量修改, 没有的字段会添加, 有的会覆盖
post lagou/doc/1/_update?pretty{ "doc": { "name": "vini", "age": 28 }} 5), 进行简单的脚本计算
post customer/_doc/1/_update?pretty{ "script": "ctx._source.age += 5" } 6), 删除document
DELETE /customer/_doc/1?pretty
3, batch处理
可以合并多个操作, 比如index, delete, update, 也可以从一个index导入另一个index
1), 批量插入数据
每条数据由2行构成, delete除外, 第一行为元数据行, 第二行为数据行, upsert比较特殊, 可能为upsert, doc, 或者script
元数据必须放在一行!!!!!
POST /customer/_doc/_bulk?pretty{ "index":{ "_id":"1"}} # 针对哪个索引完成的{ "name": "John Doe" } # 数据行, 必须放在一行, 不能做美化{ "index":{ "_id":"2"}}{ "name": "Jane Doe" } 如果不写index或者type, 需要在元数据中指定
2), 执行修改第一条, 删除第二条
delte操作, 只有一行,没有元数据行
POST /customer/_doc/_bulk?pretty{ "update":{ "_id":"1"}}{ "doc": { "name": "John Doe becomes Jane Doe" } }{ "delete":{ "_id":"2"}} 单条出错不影响, 会继续执行剩下的
3), 批量修改
post _bulk?pretty{ "update": { "_index": "lag", "_type": "job", "_id": 1} { "doc": { "fileds": "values"}}
4), 批量获取
get _mget{ "docs": [ { "index": "tested", "_type": "job", "_id": 1 }, { "_index": "lag", "_type": "job2", "_id": 2 } ]} 或者同一个index或者同一个 type
get lagou/job1{ "docs": [ { "_id": 1}, { "_id": 2} ]} 或者缩写
get lagou/job1 { "ids": [1, 2] }
4, 查询
基本查询, 组合查询, 过滤查询
1), 导入基础数据
https://raw.githubusercontent.com/elastic/elasticsearch/master/docs/src/test/resources/accounts.json
curl -H "Content-Type: application/json" -XPOST "10.110.122.172:9200/bank/_doc/_bulk?pretty&refresh" --data-binary "@accounts.json"
GET /_cat/indices?v
2), 使用 q 进行查询
GET /bank/_search?q=*&sort=account_number:asc&pretty
只获取部分字段
get lag/job/1?_source
3) 使用body体进行查询
from 从哪开始, size: 取多少条, sort: 排序
使用 wildcard 进行 * 通配符查询
4), match 分词匹配, 部分匹配
a. match_all 查询所有
get /bank/_search{ "query": { "match_all": {}}, "from": 10, "size": 10, "sort": [ { "account_number": "asc"} ]} _source: 显示取字段
get bank/_search{ "query": { "match": { "age": 37 }}, "_source": [ "account_number", "age", "address" ] } 5), macth_parse 短语匹配
会将 查询进行分词, 满足所有分词才会返回结果
term: 完全匹配, 不分词
get bank/_search{ "query": { "match_phrase": { "address": "mill lane", “slop”: 6 # 必须大于设置的词距离才会被搜索到 }}, "_source": [ "account_number", "age", "address" ] } 6) term查询, 完全匹配
如果没有指定schema是什么类型的, 可能会查询失败
get /ban/_search{ "query" : { "term" : { "abc": "1234" } }} terms 查询
可传入多个词, 只要有一个匹配, 就可以被查询到
get /ban/_search{ "query" : { "term" : { "abc": ["1234", “568”, “23”] } }}
7), 使用range查询, 范围查询
get /ban/_search{ "query": { "range": { "price": { "gte": 10, "lte": 99 } } }} 8) multi_match: 多字段匹配
get /bank/_search { "query': { "bool": { "must": { "multi_match": { "operator": "and", "fileds": [ "name", "author^3"] # 把titil的权重提高, 分值较高的 "query": "Guide" } }, "filter": { "terms": { "price": [ 35.99, 188.99] } } } } } 5 bool匹配
1) must
get bank/_search{ "query": { "bool": { "must": [ { "match": { "address": "mill"}}, { "match": { "address": "lane"}} ] } } }} 2) or 匹配, should
GET /bank/_search{ "query": { "bool": { "should": [ { "match": { "address": "mill" } }, { "match": { "address": "lane" } } ] } }} 3) must_not匹配
GET /bank/_search{ "query": { "bool": { "must_not": [ { "match": { "address": "mill" } }, { "match": { "address": "lane" } } ] } }} 4) 混搭
GET /bank/_search{ "query": { "bool": { "must": [ { "match": { "age": "40" } } ], "must_not": [ { "match": { "state": "ID" } } ] } }} get lag/testjob/_search{ "query":{ "bool": { "should": [ { "term": { "title"; "python"}}, { "bool": { "must": [ { "term": { "title": "es"}}, { "term": { "salary": 30}} ] } } } } } select * from test job where title = 'python' or(title = 'es' and salary = 30)
5) fliter查询, es5.x之后, 被 bool 替换, 包裹在bool查询内
1), 使用filtre实现 gte lte
GET /bank/_search{ "query": { "bool": { "must": { "match_all": {} }, "filter": { "range": { "balance": { "gte": 20000, "lte": 30000, "boost": 2.0 } } } } }} GET /bank/_search{ "query": { "bool": { "filter": { "term": { "abc": "123" } } } }} fitler查询多个值
GET /bank/_search{ "query": { "bool": { "must": { "match_all": {} }, "filter": { "term": [‘adb’, ‘12'] } } }} 判断字段是否存在
exists
7, 聚合查询
默认 limit 10
size : 0 为了不显示搜索结果
GET /bank/_search{ "size": 0, "aggs": { "group_by_state": { "terms": { "field": "state.keyword" } } }} 相当于
SELECT state, COUNT(*) FROM bank GROUP BY state ORDER BY COUNT(*) DESC LIMIT 10;
2), 增加avg聚合
GET /bank/_search{ "size": 0, "aggs": { "group_by_state": { "terms": { "field": "state.keyword", "order": { "average_balance": "desc" } }, "aggs": { "average_balance": { "avg": { "field": "balance" } } } } }} 3), from-to, 控制查询的返回数量, 其实就是分页
from: 从..开始
to: 到..结束
size: 10
GET /bank/_search{ "size": 0, "aggs": { "group_by_age": { "range": { "field": "age", "ranges": [ { "from": 20, "to": 30 }, { "from": 30, "to": 40 }, { "from": 40, "size": 10 } ] }, "aggs": { "group_by_gender": { "terms": { "field": "gender.keyword" }, "aggs": { "average_balance": { "avg": { "field": "balance" } } } } } } }} 4), sort
get lagou/_search{ 'query': { 'match_all': {} } "sort": [{ "comments": { "order": "asa" } }]} 注意, 被排序的字段, 必须被存储, 即 stored: true