Elasticsearch提供了一个可以执行查询的Json风格的DSL(domain-specific language 领域特定语言)，这个被称为Query DSL。
样例GET bank/_search
{
"query": { # 查询的字段
"match_all": {} # 查询类型【代表查询所有的索引】，es中可以在query中组合非常多的查询类型完成复杂查询；
},
"from": 0, # 从第0条文档开始查
"size": 5, # 返回5条文档
"_source":["balance"], # _source为要返回balance这个字段
"sort": [
{
"account_number": { # 返回结果按account_number的值进行排序
"order": "desc" # 降序
}
}
]
}
结果
{
"took" : 18, # 查询花费18ms
"timed_out" : false, # 没有超时
"_shards" : { # 分片信息
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : { # 命中
"total" : {
"value" : 1000, # 查到1000条
"relation" : "eq"
},
"max_score" : null, # 匹配分数
"hits" : [
{
"_index" : "bank", # 索引
"_type" : "account", # 类型
"_id" : "999", # 第一条数据id是999
"_score" : null, # 得分信息
"_source" : { # 返回的字段
"firstname" : "Dorothy",
"balance" : 6087
},
"sort" : [ # 排序字段的值
999
]
},
省略。。。
match
分词检索
GET bank/_search
{
"query": {
"match": {
"address": "mill road" # 只要包含mill或者road就可以查出来
}
}
}
match_phrase
不分词检索
GET bank/_search
{
"query": {
"match_phrase": {
"address": "mill road" # 只要包含(mill road)就可以查出来 mill和road作为一个查询整体不分开
}
}
}
keyword
精确检索
GET bank/_search
{
"query": {
"match": {
"address.keyword": "990 Mill" # 内容必须是990 Mill 严格相等 equal
}
}
}
multi_math
多字段检索
GET bank/_search
{
"query": {
"multi_match": {
"query": "mill",
"fields": [ # state或address字段的值包含mill 不要求两个字段都包含
"state",
"address"
]
}
}
}
bool/must
GET bank/_search
{
"query":{
"bool":{
"must":[ # address和gender的值必须包含mill和M
{"match":{"address":"mill"}},
{"match":{"gender":"M"}}
]
}
}
}
bool/must_not
GET bank/_search
{
"query": {
"bool": {
"must_not": [ # age不包含38 过滤作用
{ "match": { "age": "38" }}
]
}
}
bool/should
GET bank/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"gender": "M"
}
},
{
"match": {
"address": "mill"
}
}
],
"must_not": [
{
"match": {
"age": "18"
}
}
],
"should": [ # 如果有lastname字段值等于Wallace的文档 它的匹配分数会更高
{
"match": {
"lastname": "Wallace"
}
}
]
}
}
}
结果
{
"took" : 5,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 3,
"relation" : "eq"
},
"max_score" : 12.585751,
"hits" : [
{
"_index" : "bank",
"_type" : "account",
"_id" : "970",
"_score" : 12.585751, # 得分第一
"_source" : {
"account_number" : 970,
"balance" : 19648,
"firstname" : "Forbes",
"lastname" : "Wallace", # should匹配的字段
"age" : 28, # 不是18
"gender" : "M", # 包含M
"address" : "990 Mill Road", # 包含mill
"employer" : "Pheast",
"email" : "forbeswallace@pheast.com",
"city" : "Lopezo",
"state" : "AK"
}
},
{
"_index" : "bank",
"_type" : "account",
"_id" : "136",
"_score" : 6.0824604,
"_source" : {
"account_number" : 136,
"balance" : 45801,
"firstname" : "Winnie",
"lastname" : "Holland",
"age" : 38,
"gender" : "M",
"address" : "198 Mill Lane",
"employer" : "Neteria",
"email" : "winnieholland@neteria.com",
"city" : "Urie",
"state" : "IL"
}
},
{
"_index" : "bank",
"_type" : "account",
"_id" : "345",
"_score" : 6.0824604,
"_source" : {
"account_number" : 345,
"balance" : 9812,
"firstname" : "Parker",
"lastname" : "Hines",
"age" : 38,
"gender" : "M",
"address" : "715 Mill Avenue",
"employer" : "Baluba",
"email" : "parkerhines@baluba.com",
"city" : "Blackgum",
"state" : "KY"
}
}
]
}
}
bool/filter
在boolean查询中，must, should 和must_not 元素都被称为查询子句 。文档是否符合每个“must”或“should”子句中的标准，决定了文档的“相关性得分”。 得分越高，文档越符合您的搜索条件。 默认情况下，Elasticsearch返回根据这些相关性得分排序的文档。
如果bool查询中只有filter条件的话，我们会发现得分都是0。
must 贡献得分should 贡献得分must_not 不贡献得分filter 不贡献得分
GET bank/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"address": "mill"
}
}
],
"filter": {
"range": { # 范围
"balance": {
"gte": "10000", # 大于10000
"lte": "20000" # 小于20000
}
}
}
}
}
}
term
非text字段匹配 包含匹配 适用于查数字 如果使用term来查文本字段很能查不到
GET bank/_search
{
"query": {
"term": {
"address": "717" # 或 "address": 717 数字可以去掉双引号
}
}
}
结果
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 2,
"relation" : "eq"
},
"max_score" : 5.9908285,
"hits" : [
{
"_index" : "bank",
"_type" : "account",
"_id" : "872",
"_score" : 5.9908285,
"_source" : {
"account_number" : 872,
"balance" : 26314,
"firstname" : "Jane",
"lastname" : "Greer",
"age" : 36,
"gender" : "F",
"address" : "717 Hewes Street",
"employer" : "Newcube",
"email" : "janegreer@newcube.com",
"city" : "Delshire",
"state" : "DE"
}
},
{
"_index" : "bank",
"_type" : "account",
"_id" : "248",
"_score" : 5.9908285,
"_source" : {
"account_number" : 248,
"balance" : 49989,
"firstname" : "West",
"lastname" : "England",
"age" : 36,
"gender" : "M",
"address" : "717 Hendrickson Place",
"employer" : "Obliq",
"email" : "westengland@obliq.com",
"city" : "Maury",
"state" : "WA"
}
}
]
}
}
如果查文本
GET bank/_search
{
"query": {
"term": {
"address": "717 Hewes Street"
}
}
}
结果为null
{
"took" : 3,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 0,
"relation" : "eq"
},
"max_score" : null,
"hits" : [ ]
}
}
