基本增删改查（CURD）
操作中注意：1.当执行PUT命令时，如果数据不存在，则新增该条数据，如果数据存在则修改该条数据。
2.PUT命令，在做修改操作时，如果未指定其他的属性，则按照指定的属性进行修改操作。
3.POST命令，这里可用来执行修改操作（还有其他的功能），POST命令配合_update完成修改操作，指定修改的内容放到doc中。
1 PUT user/doc/1
2 {
3 "name":"热狗",
4 "age":18,
5 "sex":"男",
6 "tags":"闷骚",
7 "b":"19970715"
8 }
9
10 PUT user/doc/2
11 {
12 "name":"爆音",
13 "age":20,
14 "sex":"男",
15 "tags":"浪",
16 "b":"19970521"
17 }
18
19 PUT user/doc/3
20 {
21 "name":"和苏",
22 "age":21,
23 "sex":"女",
24 "tags":"高冷",
25 "b":"19980621"
26 }
27
28 PUT user/doc/4
29 {
30 "name":"宝石",
31 "age":25,
32 "sex":"男",
33 "tags":"实力高手",
34 "b":"19940421"
35 }
36
37 PUT user/doc/5
38 {
39 "name":"TT",
40 "age":24,
41 "sex":"男",
42 "tags":"就是帅",
43 "b":"19981201"
44 }
45
46 GET user/doc/1
47
48 GET user/doc/_search
49
50 # 查询字符串 query string
51 GET user/doc/_search?q=age:22
52
53
54 # 在做修改时操作，如果未指定其它的字段，则按照指定的字段进行修改，未指定的字段就不复存在了
55 PUT user/doc/4
56 {
57 "tags":"帅气"
58 }
59
60 GET user/doc/4
61
62
63 # 修改指定字段使用POST
64 POST user/doc/4/_update
65 {
66 "doc":{
67 "tags":"高手"
68 }
69 }
70
71 DELETE user/doc/5
72
73 DELETE user
74
75 POST user/doc/_delete_by_query?q=age:18
查询的两种方式
1.查询字符串 query string
2.DSL结构化查询
1 # 查询的两种方式
2 # 1.查询字符串 query string
3 GET user/doc/_search?q=age:22
4
5 # 2.DSL结构化查询
6 GET user/doc/_search
7 {
8 "query": {
9 "match": {
10 "age": "24"
11 }
12 }
13 }
14
15
16 GET user/doc/_search
17 {
18 "query": {
19 "match": {
20 "tags": "浪 就是帅"
21 }
22 }
23 }
24
25
26 # 查所有
27 GET user/doc/_search
28 GET user/doc/_search
29 {
30 "query": {
31 "match_all": {}
32 }
33 }
复杂查询（按照条件查询）
1 GET user/doc/_search
2 {
3 "query": {
4 "match": {
5 "tags": "浪 就是帅"
6 }
7 }
8 }
9
10
11 # 查所有
12 GET user/doc/_search
13 GET user/doc/_search
14 {
15 "query": {
16 "match_all": {}
17 }
18 }
排序（sort desc降序 asc升序）
1 GET user/doc/_search
2 {
3 "query": {
4 "match_all": {}
5 },
6 "sort": [
7 {
8 "age": {
9 "order": "asc"
10 }
11 }
12 ]
13 }
14
15
16 GET user/doc/_search
17 {
18 "query": {
19 "match_all": {}
20 },
21 "sort": [
22 {
23 "age": {
24 "order": "desc"
25 }
26 }
27 ]
28 }
分页（from/size）
1 # 分页
2 GET user/doc/_search
3 {
4 "query": {
5 "match_all": {}
6 },
7 "from": 2,
8 "size": 2
9 }
10
11 GET user/doc/_search
12 {
13 "query": {
14 "match_all": {}
15 },
16 "from": 4,
17 "size": 2
18 }
布尔查询bool: should(or) must(and) must_not(not)
1 GET user/doc/_search
2 {
3 "query": {
4 "match_all": {}
5 },
6 "from": 2,
7 "size": 2
8 }
9
10 GET user/doc/_search
11 {
12 "query": {
13 "match_all": {}
14 },
15 "from": 4,
16 "size": 2
17 }
18
19
20
21
22 # 布尔查询bool: should(or) must(and) must_not(not)
23 GET user/doc/_search
24 {
25 "query": {
26 "bool": {
27 "should": [
28 {
29 "match": {
30 "name": "热狗"
31 }
32 },
33 {
34 "match": {
35 "age": "24"
36 }
37 }
38 ]
39 }
40 }
41 }
42
43
44
45 # 查询性别是男的,年龄24：must
46 GET user/doc/_search
47 {
48 "query": {
49 "bool": {
50 "must": [
51 {
52 "match": {
53 "sex": "男"
54 }
55 },
56 {
57 "match": {
58 "age": "24"
59 }
60 }
61 ]
62 }
63 }
64 }
65
66
67
68
69 # 查询既不是男的，又不是18岁:must_not
70 GET user/doc/_search
71 {
72 "query": {
73 "bool": {
74 "must_not": [
75 {
76 "match": {
77 "sex": "男"
78 }
79 },
80 {
81 "match": {
82 "age": "18"
83 }
84 }
85 ]
86 }
87 }
88 }
89
90
91
92
93 # 查询年龄大于20岁的男的文档filter range gt
94 GET user/doc/_search
95 {
96 "query": {
97 "bool": {
98 "must": [
99 {
100 "match": {
101 "sex": "男"
102 }
103 }
104 ],
105 "filter": {
106 "range": {
107 "age": {
108 "gt": 20
109 }
110 }
111 }
112 }
113 }
114 }
115
116
117
118 # 查询年龄大于等于25的男的文档
119 GET user/doc/_search
120 {
121 "query": {
122 "bool": {
123 "must": [
124 {
125 "match": {
126 "sex": "男"
127 }
128 }
129 ],
130 "filter": {
131 "range": {
132 "age": {
133 "gte": 25
134 }
135 }
136 }
137 }
138 }
139 }
140
141
142
143
144
145 # 查询年龄小于20的男的文档
146 GET user/doc/_search
147 {
148 "query": {
149 "bool": {
150 "must": [
151 {
152 "match": {
153 "sex": "男"
154 }
155 }
156 ],
157 "filter": {
158 "range": {
159 "age": {
160 "lt": 20
161 }
162 }
163 }
164 }
165 }
166 }
高亮查询（highlight,pre_tags,post_tags）
1 # 查询名字是热狗的文档
2 GET user/doc/_search
3 {
4 "query": {
5 "match": {
6 "name": "热狗"
7 }
8 },
9 "highlight": {
10 "pre_tags": "<b style=‘color:red;font-size:30px;‘ class=‘regou‘>",
11 "post_tags": "</b>",
12 "fields": {
13 "name": {}
14 }
15 }
16 }
17
18
19 # *************************
20 PUT user/doc/6
21 {
22 "name":"ziqi",
23 "desc":"美的打漂"
24 }
25
26
27
28 GET user/doc/_search
29 {
30 "query": {
31 "match": {
32 "desc": "打漂"
33 }
34 },
35 "highlight": {
36 "pre_tags": "<b style=‘color:red;font-size:30px;‘ class=‘ziqi‘>",
37 "post_tags": "</b>",
38 "fields": {
39 "desc": {}
40 }
41 }
42 }
结果过滤(_source)
1 GET user/doc/_search
2 {
3 "query": {
4 "match": {
5 "name": "TT"
6 }
7 },
8 "_source": ["name","age","sex"]
9 }
聚合查询(avg、max、min、sum、分组)
# sum 查询所有男性年龄的总和
GET user/doc/_search
{
"query": {
"match": {
"sex": "男"
}
},
"aggs": {
"my_sum": {
"sum": {
"field": "age"
}
}
}
}
# max 查询年龄最大的男生
GET user/doc/_search
{
"query": {
"match": {
"sex": "男"
}
},
"aggs": {
"my_max": {
"max": {
"field": "age"
}
}
}
}
# min 查询年龄最小的男生
GET user/doc/_search
{
"aggs": {
"my_min": {
"min": {
"field": "age"
}
}
}
}
# avg 年龄平均
GET user/doc/_search
{
"aggs": {
"my_avg": {
"avg": {
"field": "age"
}
}
}
}
# 分组，对男性年龄，10-20， 20-30
GET user/doc/_search
{
"query": {
"match": {
"sex": "男"
}
},
"aggs": {
"my_group": {
"range": {
"field": "age",
"ranges": [
{
"from": 10,
"to": 20
},
{
"from": 20,
"to": 30
}
]
}
}
}
}
# 分组，对男性年龄，10-20， 20-30 对每组年龄求和
GET user/doc/_search
{
"query": {
"match": {
"sex": "男"
}
},
"aggs": {
"group":{
"range": {
"field": "age",
"ranges": [
{
"from": 10,
"to": 20
},
{
"from": 20,
"to": 30
}
]
},
"aggs": {
"my_sum": {
"sum": {
"field": "age"
}
}
}
}
}
}
mappings创建映射关系以及dynamic参数三种模式
三种模式：
mapping的dynamic的三种状态true动态模式 flase静态模式 strict严格模式
默认是true，如果插入未定义的字段，也可以通过此字段进行查找
如果自己定义false,那么此字段不能当为主的查询条件，否则hits为空
它们二者都有相同的特点：就是在查询的时候（查所有），如果之前没有定义的映射类型字段的时候它们都会返回
strict，不能新增字段
# mappings 创建映射关系
PUT s2
{
"mappings": {
"doc":{
"properties":{
"name":{
"type":"text"
},
"age":{
"type":"long"
},
"desc":{
"type":"text"
}
}
}
}
}
# 往自定义映射关系中插入数据
PUT s2/doc/1
{
"name":"凡哥",
"age":22,
"desc":"低调"
}
PUT s2/doc/2
{
"name":"潘帅",
"age":25,
"desc":"自带说唱特效",
"tags":"帅"
}
# 又可以开始查询了
GET s2/doc/_search
# mapping的dynamic的三种状态true动态模式 flase静态模式 strict严格模式
# 默认是true，如果插入未定义的字段，也可以通过此字段进行查找
# 如果自己定义false,那么此字段不能当为主的查询条件，否则hits为空
# 它们二者都有相同的特点：就是在查询的时候（查所有），如果之前没有定义的映射类型字段的时候它们都会返回
# strict，不能新增字段
PUT s4
{
"mappings": {
"doc":{
"dynamic":true,
"properties":{
"name":{
"type":"text"
}
}
}
}
}
GET s4/_mapping
PUT s4/doc/1
{
"name":"那吾克热"
}
PUT s4/doc/2
{
"name":"l4雾都",
"age":"20"
}
GET s4/doc/_search
{
"query": {
"match": {
"name": "那吾克热"
}
}
}
GET s4/doc/_search
{
"query": {
"match": {
"age": "20"
}
}
}
PUT s5
{
"mappings": {
"doc":{
"dynamic":false,
"properties":{
"name":{
"type":"text"
}
}
}
}
}
GET s5/_mapping
PUT s5/doc/1
{
"name":"那吾克热"
}
PUT s5/doc/2
{
"name":"l4雾都",
"age":"20"
}
GET s5/doc/_search
{
"query": {
"match": {
"name": "那吾克热"
}
}
}
# 查不到hits里边为空
GET s5/doc/_search
{
"query": {
"match": {
"age": "20"
}
}
}
# 在创建mapping时必须添加类型（doc）,不然报错，我已经试过了
PUT s6
{
"mappings": {
"doc":{
"dynamic":"strict",
"properties":{
"name":{
"type":"text"
}
}
}
}
}
PUT s6/doc/1
{
"name":"好大哥"
}
# 直接报错 strict模式严格遵循定的字段，整死都不能加age字段
PUT s6/doc/2
{
"name":"紫棋",
"age":18
}
GET s6/_mapping
GET s6/doc/_search
{
"query": {
"match": {
"name": "好大哥"
}
}
}
PUT s3
{
"mappings": {
"doc":{
"properties":{
"name":{
"type":"text",
"fields":{
"keyword":{
"type":"keyword",
"ignore_above":64
}
}
},
"age":{
"type":"long"
},
"desc":{
"type":"text"
}
}
}
}
}
GET user/_mapping
GET s2/_mapping
GET s3/_mapping
mappings的参数ignore_above
长度超出将不会被索引
PUT s7
{
"mappings": {
"doc":{
"properties":{
"title":{
"type":"keyword",
"ignore_above":10
}
}
}
}
}
GET s7/_mapping
PUT s7/doc/1
{
"title":"外交部:美国没资格对他国谈什么守信、谈什么承诺"
}
PUT s7/doc/2
{
"title":"成都"
}
GET s7/doc/_search
# hits为空
GET s7/doc/_search
{
"query": {
"match": {
"title": "外交部"
}
}
}
# hits也为空
GET s7/doc/_search
{
"query": {
"match": {
"title": "外交部:美国没资格对他国谈什么守信、谈什么承诺"
}
}
}
GET s7/doc/_search
{
"query": {
"match": {
"title": "成都"
}
}
}
1 {
2 "took" : 1,
3 "timed_out" : false,
4 "_shards" : {
5 "total" : 5,
6 "successful" : 5,
7 "skipped" : 0,
8 "failed" : 0
9 },
10 "hits" : {
11 "total" : 2,
12 "max_score" : 1.0,
13 "hits" : [
14 {
15 "_index" : "s7",
16 "_type" : "doc",
17 "_id" : "2",
18 "_score" : 1.0,
19 "_source" : {
20 "title" : "成都"
21 }
22 },
23 {
24 "_index" : "s7",
25 "_type" : "doc",
26 "_id" : "1",
27 "_score" : 1.0,
28 "_source" : {
29 "title" : "外交部:美国没资格对他国谈什么守信、谈什么承诺"
30 }
31 }
32 ]
33 }
34 }
35
36
37
38
39 {
40 "took" : 1,
41 "timed_out" : false,
42 "_shards" : {
43 "total" : 5,
44 "successful" : 5,
45 "skipped" : 0,
46 "failed" : 0
47 },
48 "hits" : {
49 "total" : 0,
50 "max_score" : null,
51 "hits" : [ ]
52 }
53 }
54
55
56
57
58
59
60
61 {
62 "took" : 1,
63 "timed_out" : false,
64 "_shards" : {
65 "total" : 5,
66 "successful" : 5,
67 "skipped" : 0,
68 "failed" : 0
69 },
70 "hits" : {
71 "total" : 0,
72 "max_score" : null,
73 "hits" : [ ]
74 }
75 }
76
77
78
79
80 {
81 "took" : 1,
82 "timed_out" : false,
83 "_shards" : {
84 "total" : 5,
85 "successful" : 5,
86 "skipped" : 0,
87 "failed" : 0
88 },
89 "hits" : {
90 "total" : 1,
91 "max_score" : 0.2876821,
92 "hits" : [
93 {
94 "_index" : "s7",
95 "_type" : "doc",
96 "_id" : "2",
97 "_score" : 0.2876821,
98 "_source" : {
99 "title" : "成都"
100 }
101 }
102 ]
103 }
104 }
mappings的参数index
若设置成false,不会为该字段创索引，意味着不能当主查询条件
PUT s8
{
"mappings": {
"doc":{
"properties":{
"t1":{
"type":"text",
"index":true
},
"t2":{
"type":"text",
"index":false
}
}
}
}
}
PUT s8/doc/1
{
"t1" : "论母猪的产前保养",
"t2" : "论母猪的产后护理"
}
GET s8/doc/_search
{
"query": {
"match": {
"t1": "母猪"
}
}
}
GET s8/doc/_search
{
"query": {
"match": {
"t2": "母猪"
}
}
}
{ "took" : 2, "timed_out" : false, "_shards" : { "total" : 5, "successful" : 5, "skipped" : 0, "failed" : 0 }, "hits" : { "total" : 1, "max_score" : 0.5753642, "hits" : [ { "_index" : "s8", "_type" : "doc", "_id" : "1", "_score" : 0.5753642, "_source" : { "t1" : "论母猪的产前保养", "t2" : "论母猪的产后护理" } } ] } } # 报错 { "error": { "root_cause": [ { "type": "query_shard_exception", "reason": "failed to create query: {\n \"match\" : {\n \"t2\" : {\n \"query\" : \"母猪\",\n \"operator\" : \"OR\",\n \"prefix_length\" : 0,\n \"max_expansions\" : 50,\n \"fuzzy_transpositions\" : true,\n \"lenient\" : false,\n \"zero_terms_query\" : \"NONE\",\n \"auto_generate_synonyms_phrase_query\" : true,\n \"boost\" : 1.0\n }\n }\n}", "index_uuid": "0RDJTT8UQKy6grrB2VJx1w", "index": "s8" } ], "type": "search_phase_execution_exception", "reason": "all shards failed", "phase": "query", "grouped": true, "failed_shards": [ { "shard": 0, "index": "s8", "node": "DyXq8gbMRUKFhmD6Rgbw3g", "reason": { "type": "query_shard_exception", "reason": "failed to create query: {\n \"match\" : {\n \"t2\" : {\n \"query\" : \"母猪\",\n \"operator\" : \"OR\",\n \"prefix_length\" : 0,\n \"max_expansions\" : 50,\n \"fuzzy_transpositions\" : true,\n \"lenient\" : false,\n \"zero_terms_query\" : \"NONE\",\n \"auto_generate_synonyms_phrase_query\" : true,\n \"boost\" : 1.0\n }\n }\n}", "index_uuid": "0RDJTT8UQKy6grrB2VJx1w", "index": "s8", "caused_by": { "type": "illegal_argument_exception", "reason": "Cannot search on field [t2] since it is not indexed." } } } ] }, "status": 400 } 查询结果
mappings的参数copy_to
可以把字段的值copy给其它的字段，这样其它的字段可以做主查询条件。
同时它也可以copy多个字段
# copy_to 把t1 t2两字段的值copy给t3,t3也可以当做主查询条件
PUT s9
{
"mappings": {
"doc":{
"properties":{
"t1":{
"type":"text",
"copy_to":"t3"
},
"t2":{
"type":"text",
"copy_to":"t3"
},
"t3":{
"type":"text"
}
}
}
}
}
# copy多个字段也行试了下居然对字段类型没要求
PUT s10
{
"mappings": {
"doc":{
"properties":{
"t1":{
"type":"text",
"copy_to":["f1", "f2"]
},
"t2":{
"type":"text",
"copy_to":["f1", "f2"]
},
"f1":{
"type":"text"
},
"f2":{
"type":"keyword"
}
}
}
}
}
PUT s9/doc/1
{
"t1":"TT",
"t2":"ziqi"
}
GET s9/doc/_search
{
"query": {
"match": {
"t1": "TT"
}
}
}
GET s9/doc/_search
{
"query": {
"match": {
"t2": "ziqi"
}
}
}
GET s9/doc/_search
{
"query": {
"match": {
"t3": "ziqi"
}
}
}
三种方式都可以被查到 { "took" : 2, "timed_out" : false, "_shards" : { "total" : 5, "successful" : 5, "skipped" : 0, "failed" : 0 }, "hits" : { "total" : 1, "max_score" : 0.2876821, "hits" : [ { "_index" : "s9", "_type" : "doc", "_id" : "1", "_score" : 0.2876821, "_source" : { "t1" : "TT", "t2" : "ziqi" } } ] } }
对象属性之嵌套
PUT w1
{
"mappings": {
"doc":{
"properties":{
"name":{
"type":"text"
},
"age":{
"type":"long"
},
"info":{
"properties":{
"addr":{
"type":"text"
},
"telphone":{
"type":"long"
}
}
}
}
}
}
}
GET w1/_mapping
PUT w1/doc/1
{
"name":"tom",
"age":18,
"info":{
"addr":"成都",
"telphone":15555555555
}
}
# 查嵌套点就完事
GET w1/doc/_search
{
"query": {
"match": {
"info.addr": "成都"
}
}
}
GET w1
{ "w1" : { "aliases" : { }, "mappings" : { "doc" : { "properties" : { "age" : { "type" : "long" }, "info" : { "properties" : { "addr" : { "type" : "text" }, "telphone" : { "type" : "long" } } }, "name" : { "type" : "text" } } } }, "settings" : { "index" : { "creation_date" : "1566437237640", "number_of_shards" : "5", "number_of_replicas" : "1", "uuid" : "4sGzN3COSTq3kvkgQVDZNQ", "version" : { "created" : "6050499" }, "provided_name" : "w1" } } } } GET w1结果
settings参数（主分片、复制分片）
主分片一旦设置不能修改，复制分片设置可以被修改，请求到来时主复制分片都会去检索，检索到返回 若主分片挂了，复制分片数据依然存在，检索到数据依然被返回，但是复制分片自动升级为主分片，内部自动会将数据进行迁移，不会丢失数据
PUT w2
{
"mappings": {
"doc":{
"properties":{
"name":{
"type":"text"
}
}
}
},
"settings": {
"number_of_shards": 3,
"number_of_replicas": 3
}
}
GET w2
短语查询(match_phrase,slop match_phrase_prefix最左前缀查询
注意格式
# 短语查询
PUT t1/doc/1
{
"title":"中国是世界人口最多的国家"
}
PUT t1/doc/2
{
"title":"美国是世界上军事实力最强大的国家"
}
PUT t1/doc/3
{
"title":"北京是中国的首都"
}
# 会查出三篇文档返回 分词查找的
GET t1/doc/_search
{
"query": {
"match": {
"title": "中国"
}
}
}
# 短语查询
GET t1/doc/_search
{
"query": {
"match_phrase": {
"title": "中国"
}
}
}
# 查不到
GET t1/doc/_search
{
"query": {
"match_phrase": {
"title": "中国世界"
}
}
}
# slop默认1
GET t1/doc/_search
{
"query": {
"match_phrase": {
"title": {
"query": "中国人口",
"slop": 4
}
}
}
}
# 最左前缀查询
PUT t2/doc/1
{
"title":"beautful girl"
}
PUT t2/doc/2
{
"title":"beautful so"
}
GET t2/doc/_search
{
"query": {
"match_phrase_prefix": {
"title": "bea"
}
}
}
GET t2/doc/_search
{
"query": {
"match_phrase_prefix": {
"title": "gi"
}
}
}
多字段名查询（multi_match）
PUT t3/doc/1
{
"t1":"beautful girl",
"t2":"beautful so"
}
GET t3/doc/_search
{
"query": {
"multi_match": {
"query": "beautful",
"fields": ["t1", "t2"]
}
}
}
GET t3/doc/_search
{
"query": {
"multi_match": {
"query": "beautful",
"fields": ["t1", "t2"],
"type": "phrase"
}
}
}
GET t3/doc/_search
{
"query": {
"multi_match": {
"query": "beautful",
"fields": ["t1", "t2"],
"type": "phrase_prefix"
}
}
}
分析器（analyzer-ik）
GET _analyze
{
"analyzer": "standard",
"text": ["中国", "北京"]
}
GET _analyze
{
"analyzer": "standard",
"text":"上海自来水来自海上"
}
GET _analyze
{
"analyzer": "ik_smart",
"text":"上海自来水来自海上"
}
GET _analyze
{
"analyzer": "ik_max_word",
"text":" 上海自来水来自海上"
}
查询结果ik_smart
ik_max_work
了解分析器更多https://www.elastic.co/guide/en/elasticsearch/reference/6.5/index.html
查看索引状态
GET _cat/indices
结果看起霸气各个索引信息
注意： 为什么删除映射类型？
不同映射类型具有相同名称的字段在内部由相同的Lucene支持
当我们删除一个日期字段和同一个索引中另外一个类型的字段，可能会导致失败
还有就是导致稀疏数据并干扰Lucene有效压缩文档的能力