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--获取某一特定值的信息<REST Verb> /<Index>/<Type>/<ID>?<Rounting>=
GET /yinshang/poi/4628754?routing=B00155MPVY
—快捷查询无法查询中文字
GET /dp_pois/_search?q=city:”藤县”
—查询中文字符串
GET /dp_pois/_search {
"query" : {
"match" : {
"city": "上海"
}
}
}
—两次运行结果顺序不一样
GET /yinshang/_search
{
"query" : {
"match" : {
"city": "上海"
}
}
}
—term的类型应为kewword
GET /yinshang/_search
{
"query": {
"bool": {
"filter": {
"term": { "city": "南京" }
}
}
}
}
--terms 匹配多个数据
GET /yinshang/_search
{
"query": {
"bool": {
"filter": {
"terms": { "city": ["南京"] }
}
}
}
}
—查找上海大于3星的商铺
GET /yinshang/_search
{
"query" : {
"bool": {
"must": {
"match" : {
"city": "上海"
}
},
"filter": {
"range" : {
"stars" : { "gt" : 3 }
}
}
}
}
}
match 完全模糊匹配 match_phrase短语模糊匹配 keyword类型数据只能全匹配
— 创建文档
第一种方法使用 op_type 查询 -字符串参数：
PUT /website/blog/123?op_type=create
{ ... }
第二种方法是在 URL 末端使用 /_create :
PUT /website/blog/123/_create
{ ... }
DELETE /website/blog/123
如果每页展示 5 条结果，可以用下面方式请求得到 1 到 3 页的结果：
GET /_search?size=5
GET /_search?size=5&from=5
GET /_search?size=5&from=10
被允许的操作符如下：
gt：大于
gte：大于等于
lt：小于
lte：小于等于
——————————
查询点评poi商铺数量
GET /dp_pois/_search
{
"query" : {
"match" : {
"name": "华联"
}
}
}
--查询多个index的方法
GET /amap_pois,amap_pois4,amap_pois5/_search
{
"query" : {
"match" : {
"name": "华联"
}
}
}
—分组并计算平均评分
GET /yinshang/_search
{
"size" : 0,
"aggs" : {
"t_name" : {
"terms" : {
"field" : "type_name"
},
"aggs": {
"avg_price": {
"avg": {
"field": "stars"
}
}
}
}
}
}
—多个分组 类型、城市
GET /yinshang/_search
{
"size" : 0,
"aggs" : {
"type_name" : {
"terms" : {
"field" : "type_name"
},
"aggs": {
"city" : {
"terms" : {
"field" : "city"
}
}}
}
}
}
—地理范围过滤，无该方法,filtered已不再使用
GET /yinshang/_search
{
"query": {
"filtered": {
"filter": {
"geo_distance": {
"distance": "1km",
"position": {
"lat": 31.25575572,
"lon": 121.4214928
}
}
}
}
}
}
可改为如下形式
GET /yinshang/_search
{
"query": {
"bool": {
"filter": {
"geo_distance": {
"distance": "1km",
"position": {
"lat": 31.25575572,
"lon": 121.4214928
}
}
}
}
}
}
—泉州，stars>3
GET /yinshang/_search
{
"query" : {
"bool": {
"must": {
"match" : {
"city": "泉州"
}
},
"filter": {
"range" : {
"stars" : { "gt" : 3 }
}
}
}
}
}
—泉州三星级美食
GET /yinshang/_search
{
"query" : {
"bool": {
"must": {
"match" : {
"city": "泉州"
}
},
"should": [
{ "match": { "type_name": "美食"}}],
"filter": {
"range" : {
"stars" : { "gt" : 3 }
}
}
}
}
}
or
GET /yinshang/_search
{
"query" : {
"bool": {
"must": {
"match" : {
"city": "上海"
}
},
"should": [
{ "match": { "type_name": "美食"}},
{"range" : {
"stars" : { "gt" : 4 } }
}]
}
}
}
GET /yinshang/_search
{
"query" : {
"multi_match" : {
"query": "3",
"fields": [ "stars" ]
}
}
}
—查询多个条件
GET /yinshang/_search
{
"query": {
"bool": {"must": [
{ "match": { "type_name": "美食"}},
{ "match": { "city": "上海"}}
]}
}
}
—多fields查找字段内容
GET /yinshang/_search
{
"query": {
"multi_match": {
"query": “上海 购物",
"fields": [ "name", "addr","city" ]
}
}
}
—-地理范围内poi
GET /yinshang/_search
{
"query": {
"bool" : {
"must" : {
"match_all" : {}
},
"filter" : {
"geo_distance" : {
"distance" : "200km",
"position" : {
"lat" : 24.999,
"lon" : 118.999
}
}
}
}}
}
longitude,latitude 经度，纬度
经度东西半球的坐标范围是 -180 到 180
纬度南北半球的坐标范围是 -90 到 90
—指定地理范围内的poi
GET /yinshang/_search?size=0
{
"aggs" : {
"rings" : {
"geo_distance" : {
"field" : "position",
"origin" : "24.999, 118.999",
"unit" : "km",
"ranges" : [
{ "to" : 100 },
{ "from" : 100, "to" : 300 },
{ "from" : 300 }
]
}
}
}
}
—上海地区不同类别poi的数量
GET /yinshang/_search?size=0
{
"query" : {
"match" : {
"city" : "上海"
}
},
"aggs" : {
"type_name" : {
"terms" : {
"field" : "type_name"
}
}
}
}
—不同城市家乐福数量
GET /yinshang/_search?size=0
{
"query" : {
"match" : {
"name" : "家乐福"
}
},
"aggs" : {
"city" : {
"terms" : {
"field" : "city"
}
}
}
}
—minimum_should_match 匹配度
GET /dp_pois/_search
{
"query" : {
"match" : {
"name": {"query": "家乐福", "minimum_should_match": "100%"}
}
}
}
—match more
GET /yinshang/_search
{
"query": {
"bool": {
"should": [
{ "match": { "city": "北京" }},
{ "match": { "type_name": "丽人" }},
{ "match": { "area": "海淀区" }}
],
"minimum_should_match": 3
}
}
}
使用bool过滤器来合并多个过滤器以实现and，or和not逻辑。bool查询也做了类似的事，但有一个显著的不同。分值计算(Score Calculation)
bool查询通过将匹配的must和should语句的_score相加，然后除以must和should语句的总数来得到相关度分值_score。
must_not语句不会影响分值；它们唯一的目的是将不需要的文档排除在外
—多字段分值https://www.elastic.co/guide/cn/elasticsearch/guide/current/_boosting_query_clauses.html
—dis_max 即分离 最大化查询（Disjunction Max Query）
{
"query": {
"dis_max": {
"queries": [
{ "match": { "title": "Brown fox" }},
{ "match": { "body": "Brown fox" }}
]
}
}
}
—指定点附近地铁的数量
GET /yinshang/_search
{
"query": {
"bool": {
"must": {
"match": {
"addr": "地铁"
}
}
}
},
"aggs" : {
"rings" : {
"geo_distance" : {
"field" : "position",
"origin" : "31.254822, 121.440661",
"unit" : "km",
"ranges" : [
{ "to" : 1 }
]
}
}
},
"post_filter": {
"geo_distance": {
"distance": "1km",
"position": {
"lat": 31.254822,
"lon": 121.440661
}
}
},
"size": 10
}
—查询city包含 南京 并且name包含 美食 的地址 ，查询结果再按city名分组
GET /dp_pois/_search
{
"size" : 0,
"query": {
"bool": {
"must": [
{ "match": { "city": "南京" }},
{ "match": { "name": "美食" }}
]
}
},
"aggs": {
"users": {
"terms": {
"field": "city",
"order": { "top_score": "desc" }
},
"aggs": {
"top_score": { "max": { "script": "_score" }},
"blogposts": { "top_hits": { "_source": "addr", "size": 5 }}
}
}
}
}
—创建index
PUT /customer?pretty
PUT /customer/_doc/1?pretty
{
"name": "John Doe"
}
GET /customer/_doc/1?pretty
DELETE /customer?pretty
<REST Verb> /<Index>/<Type>/<ID>
POST /customer/_doc/1/_update?pretty
{
"doc": { "name": "Jane Doe" }
}
POST /customer/_doc/1/_update?pretty
{
"doc": { "name": "Jane Doe", "age": 20 }
}
POST /customer/_doc/1/_update?pretty
{
"script" : "ctx._source.age += 5"
}
DELETE /customer/_doc/2?pretty
—范围 排序
GET /_search
{
"query": { "match_all": {} },
"sort": { "stars": { "order": "desc" }},
"from": 10,
"size": 10
}
—指定source中字段
GET /_search
{
"query": { "match_all": {} },
"_source": ["name", "addr"]
}
—查找词语
GET /_search
{
"query": { "match_phrase": { "addr": "上海" } }
}
—must同时满足
GET /_search
{
"query": {
"bool": {
"must": [
{ "match": { "addr": "上海" } },
{ "match": { "addr": "路" } }
]
}
}
}
—满足一个
GET /_search
{
"query": {
"bool": {
"should": [
{ "match": { "addr": "上海" } },
{ "match": { "addr": "路" } }
]
}
}
}
—分组
GET /_search
{
"size": 0,
"aggs": {
"group_by_city": {
"terms": {
"field": "city"
}
}
}
}
—每个城市美食的数量及平均评分
GET /_search
{
"query": { "bool": {
"must": {
"term" : {
"type_name": "美食"
}},
"filter": {
"range" : {
"stars" : { "gt" : 0 }
}
}
}
} ,
"size": 0,
"aggs": {
"group_by_city": {
"terms": {
"field": "city"
},
"aggs": {
"average_balance": {
"avg": {
"field": "stars"
}
}
}
}
}
}
—指定点附近的美食排序
POST /_search
{
"query" : {
"term" : { "type_name": "美食" }
},
"sort" : [
{
"_geo_distance" : {
"position" : [113.3624924, 22.94712592],
"order" : "asc",
"unit" : "km",
"mode" : "min",
"distance_type" : "arc"
}
}
]
}
—南京玄武区不同种类的商铺的数量，以及南京所有区分别的商铺数量
GET /_search
{
"query": {
"bool": {
"filter": {
"term": { "city": "南京" }
}
}
},
"aggs": {
"colors": {
"terms": { "field": "area" }
},
"color_red": {
"filter": {
"term": { "area": "玄武区" }
},
"aggs": {
"models": {
"terms": { "field": "type_name" }
}
}
}
},
"post_filter": {
"term": { "area": "玄武区" }
}
}
1、分城市/行政区级别的poi按类别统计数量
GET /_search?size=0
{
"aggs" : {
"city" : {
"terms" : {
"field" : "city"
},
"aggs" : {
"type_names" : {
"terms" : {
"field" : "type_name"
}
}
}
}
}
}
上述语法无法应用到dp_pois上，应terms参数类型应为keyworld
2、综合超市数量、地理分布（例如家乐福，沃尔玛、大润发、欧尚、联华、华联）
GET /yinshang/_search
{ "size": 10,
"query" : {
"match_phrase" : {
"name" : "家乐福"
}
} ,
"aggs" : {
"city" : {
"terms" : {
"field" : "city"
},
"aggs" : {
"area" : {
"terms" : {
"field" : "area"
}}
}
}
}
}
GET /_search
{ "size": 10,
"query" : {
"bool": {
"must": [
{"match_phrase" : {"name" : "家乐福"}},
{"match_phrase" : {"type_name": "购物>超市/便利店"}}
]
}},
"aggs" : {
"city" : {
"terms" : {
"field" : "city"
},
"aggs" : {
"area" : {
"terms" : {
"field" : "area"
}}
}
}
},
"post_filter": {
"term": { "area": "浦东新区" }
}
}
1 以点评数据为主
2 通过关键字“家乐福”以及poi类型，找出全国所有的家乐福超市（约300家），具体结果可能需要手动去把最终的列表整理出来，poi信息的准确性可以和高德poi交叉验证
GET /_search
{ "size": 1000,
"query" : {
"bool": {
"must": [
{"match_phrase": {"name": "店"}},
{"match_phrase" : {"name" : "家乐福"}},
{"match_phrase" : {"type_name": "购物>超市/便利店"}}
]
}},
"aggs" : {
"city" : {
"terms" : {
"field" : "city"
},
"aggs" : {
"area" : {
"terms" : {
"field" : "area"
}}
}
}
}
}
因elastic无法对符号进行匹配，总数为436家，比实际值大
3 搜索每一个家乐福周边三公里内的poi列表
GET /_search
{
"query": {
"bool": {
"filter": {
"geo_distance": {
"distance": "3km",
"distance_type": "plane",
"position": {
"lat": 31.3028178,
"lon": 121.4187999
}
}
}
}
}
}
1 * 在某个特定的地理范围内（多边形），找出所有特定类型（例如餐饮），名称包含关键字（例如麦当劳）的poi，返回满足条件的poi列表，包含poi的基本信息（名称，经纬度坐标，地址，id）
GET /_search
{
"query": {
"bool" : {
"must" : {
"match_all" : {}
},
"filter" : {
"geo_polygon" : {
"position" : {
"points": [
[121.335041,30.755042],
[121.335464,30.75513],
[121.335888,30.755213],
[121.33598,30.755229],
[121.336071,30.755213],
[121.33613,30.755146],
[121.336594,30.754063],
[121.335738,30.753756],
[121.334816,30.753431],
[121.334172,30.753226],
[121.333574,30.754501],
[121.335041,30.755042]
]
}
}
}
}
}
}
2 * 指定城市（例如上海），返回所有名称包含关键字（例如万达广场）的商场列表，包含商场的基本信息（名称，地址，经纬度坐标边界, id）
GET /_search
{
"query": {
"bool": {
"must": [
{"match_phrase": {"name": "万达广场"}},
{"match_phrase": { "_type": "mall" }}
],
"filter": {
"term": { "city": "上海" }
}
}
}
}
3 * 指定某个商场（从接口#2中返回），以该商场的经纬度坐标边界为地理范围，按照接口#1的条件做进一步查询
GET /_search
{
"query": {
"bool" : {
"must" : {
"match" : {"name" : "麦当劳"}
},
"filter" : {
"geo_polygon" : {
"position" : {
"points": [
[121.513433,31.299647],
[121.513283,31.299743],
[121.513088,31.300281],
[121.512564,31.301219],
[121.511901,31.302248],
[121.511898,31.302326],
[121.335738,30.753756],
[121.334816,30.753431],
[121.334172,30.753226],
[121.333574,30.754501],
[121.335041,30.755042]
]
}
}
}
}
}
}
4 * 指定某个品牌关键字（例如麦当劳），返回所有包含该品牌的商场列表，包含商场的基本信息（名称，地址，经纬度坐标边界, id）
GET /_search
{
"query": {
"has_child": {
"type": "poi",
"query": {
"bool" : {
"must" : {
"match" : {"name" : {"query": "麦当劳", "minimum_should_match": "100%"}}
},
"filter" : {
"geo_polygon" : {
"position" : {
"points": [
[121.085376,31.410612], [121.960162,31.436394], [121.995868,30.823947], [121.008472,30.803897], [121.085376,31.410612]
]
}
}
}
}
}
}
}
}