ES的使用

 

GET /_cat/indices?v

# 增加一个索引
PUT /movies_index

# 删除一个索引
DELETE /movies_index

# 新增文档

PUT /movies_index/movies/1
{
  "id":1,
  "name":"operation red sea",
  "actorList":[
    {"id":1,"name":"zhang yi"},
    {"id":2, "name":"hai qing"},
    {"id":3,"name":"zhang han yu"}
    ]
}

PUT /movies_index/movies/2
{
  "id":2,
  "name":"operation meigonghe river",
  "actorList":[
    {"id":3,"name":"zhang han yu"}
    ]
}

PUT /movies_index/movies/3
{
  "id":3,
  "name":"incident red sea",
  "actorList":[
    {"id":4,"name":"zhang chen"}
    ]
}


PUT /movies_index/movies/3
{
  "id":3,
  "name":"incident red sea",
  "actorList":[
    {"id":3,"name":"zhang han yu"},
    {"id":5,"name":"fang hong jian"}
    ]
}


GET /movies_index/movies/3

GET /_search/
{
  "query":{
    "match": {
      "name": "operation red sea"
    }
  }
}


# 通过索引查找值
GET /movies_index/movies/1
GET /movies_index/movies/2
GET /movies_index/movies/3


# 修改整体替换
PUT /movies_index/movies/2
{
  "id":2,
  "name":"operation meigonghe river",
  "actorList":[
    {"id":3,"name":"zhang han yu"}
    ]
}

# 查找
GET /movies_index/movies/2

# 修改整体替换

PUT /blog_index/blogs/1
{
"title": "Invest Money",
"body": "Please start investing money as soon...",
"tags": ["money", "invest"],
"published_on": "18 Oct 2017",
"comments": [
{
"name": "William",
"age": 34,
"rating": 8,
"comment": "Nice article..",
"commented_on": "30 Nov 2017"
},
{
"name": "John",
"age": 38,
"rating": 9,
"comment": "I started investing after reading this.",
"commented_on": "25 Nov 2017"
},
{
"name": "Smith",
"age": 33,
"rating": 7,
"comment": "Very good post",
"commented_on": "20 Nov 2017"
}
]
}

{
  "id":3,
  "name":"incident red sea",
  "doubanScore":8.0,
  "actorList":[
    {"id":4,"name":"zhang chen"}
    ]
}

# 查看修改结果
GET /movies_index/movies/3

# 修改某个字段


POST /movies_index/movies/3/_update
{
  "doc":{
    "doubanScore":9.9
  }
}

GET /movies_index/movies/3


# 删除一个document

DELETE movies_index/movies/3

# 搜索TYPE全部数据

GET /movies_index/movies/_search


# 按条件查询

# 按条件查询全部
GET /movies_index/movies/_search
{
  "query": {
    "match_all": {}
  }
}
# 按分词查询
GET /movies_index/movies/_search
{
  "query": {
    "match": {
      "name": "red"
    }
  }
}


# 修改Id为1的数据中actorList中id为2的属性为haiqing
POST /movies_index/movies/1/_update
{
  "doc":{
    "actorList":  [          {
              "id" : 1,
              "name" : "zhang yi"
            },
            {
              "id" : 2,
              "name" : "haiqing"
            },
            {
              "id" : 3,
              "name" : "zhang han yu"
            }]
  }
}

GET /movies_index/movies/1
GET /movies_index/movies/2

# 按分词子属性查询
GET /movies_index/movies/_search
{
  "query": {
    "match": {
      "name": "red sea"
    }
  }
}


# 按短语查询，不再利用分词技术，直接用短语在原始数据中匹配
GET /movies_index/movies/_search
{
  "query": {
    "match_phrase": {
      "name": "red sea"
    }
  }
}


# fuzzy查询，校正匹配分词，当一个单词都无法准确匹配，es通过一种算法对非常接近的单词也给出一定的评分，能够查询出来，但是消耗更多的性能

GET /movies_index/movies/_search
{
  "query":{
    "fuzzy": {"name":"operatiom"}
  }

}


# 过滤 -查询后过滤
GET /movies_index/movies/_search
{
  "query": {
    "match": {
      "name": "operation"
    }
  }
}

GET /movies_index/movies/_search
{
  "query": {
    "match": {
      "name": "operation"
    }
  },"post_filter": {
    "term": {
      "actorList.id": 1
    }
  }
}

# 查询前过滤V001
GET /movies_index/movies/_search
{
  "query": {
    "bool": {
      "filter": [
        {"term":{"actorList.id":3}}
        ]
    }
  }
}

# 查询前过V002
GET /movies_index/movies/_search
{
  "query": {
    "bool": {
      "filter": [
        {"term":{"actorList.id":3}},
        {"term":{"actorList.id":1}}
        ]
    }
  }
}





# 查询前过滤V003
GET /movies_index/movies/_search
{
  "query": {
    "bool": {
      "filter": [
        {"term":{"actorList.id":3}},
        {"term":{"actorList.id":1}}
        ],"must": [
          {"match": {
            "name": "red"
          }}
        ]
    }
  }
}

# 增加豆瓣电影评分
POST /movies_index/movies/3/_update
{
  "doc":{
    "doubanScore":9.9
  }
}




GET /movies_index/movies/2
GET /movies_index/movies/_search
{
  "query": {
    "match_all": {}
  }
}


# 过滤按范围进行过滤
GET /movies_index/movies/_search
{
  "query": {
    "bool": {
      "filter": {
        "range": {
          "doubanScore": {
            "gte": 8
          }
        }
      }
    }
  }
}


GET /movies_index/movies/_search
{
  "query": {
    "match": {
      "name": "red"
    }
  },"sort": [
    {
      "doubanScore": {
        "order": "desc"
      }
    }
  ]
}



GET /movies_index/movies/_search
{
  "query": {
    "match_all": {}
  }
  ,"sort": [
    {
      "doubanScore": {
        "order": "desc"
      }
    }
  ]
}


GET /movies_index/movies/_search
{
  "query": {
    "match_all": {}
  },"sort": [
    {
      "doubanScore": {
        "order": "asc"
      }
    }
  ]
}


# 分页查询
GET /movies_index/movies/_search
{
  "query": {"match_all": {}},
  "from": 1,
  "size": 1
}


# 指定查询的字段
GET /movies_index/movies/_search
{
  "query": {"match_all": {}},
  "_source": ["name","doubanScore"],
  "sort": [
    {
      "doubanScore": {
        "order": "asc"
      }
    }
  ],
  "from": 0,
  "size": 10
}



GET /movies_index/movies/_search
{
  "query": {"match": {
    "name": "red sea"
  }},
  "highlight": {
    "fields": {"name":{}}
  }
}

GET /movies_index/movies/_search
{
  "query": {"match_all": {}},
  "aggs": {
    "aggs_by_event_type": {
      "terms": {
        "field": "event_type"
      }
    }
  }
}


GET /movies_index/movies/_search
{
  "query": {"match_all": {}}
}

# 聚合，取出每个演员一共从参加了多少部电影
GET /movies_index/movies/_search
{
  "query": {
    "match_phrase": {
      "event_type_path": "/事件类型/恶意样本/"
    }
  }
}

# 每个演员参演的电影的平均分，并按评分排序
GET /movies_index/movies/_search
{
  "aggs": {
    "groupby_actor_id": {
      "terms": {
        "field": "actorList.name.keyword",
        "order": {
          "avg_score": "desc"
        }
      },
      "aggs": {
        "avg_score": {
          "avg": {
            "field": "doubanScore"
          }
        }
      }
    }
  }
}






GET /fmall_dau/_doc/_search
{
  "aggs":{
    "groupby_logDate":{
      "terms":{
        "field":"logDate"
      }
    }
  }
}