插入有两种方式,一种是指定id,一种是es自动分配id
# 先创建一个index1索引
# 由于不建议使用多类型,所以创建只有一个类型的索引,默认类型名为_doc
PUT 'http://localhost:9200/index1'
{
"mappings": {
"properties":{
"name":{ "type":"keyword" },
"age":{ "type": "long" }
}
}
}
1.1 指定ID
# /[index]/[type]/[id]
# 默认type为_doc,指定为no1
# 可以加上?op_type=create,会在重复id时报错导致插入失败,否则会更新该id的属性值
PUT 'http://localhost:9200/index1/_doc/no1?op_type=create'
{
"name":"123",
"age":"123"
}
1.2 自动生成id
POST 'http://localhost:9200/index1/_doc'
{
"name":"123",
"age":"123"
}
# 结果
{
"_index" : "accounts",
"_type" : "person",
"_id" : "0dwdw4548", # 自动生成的id
"_version" : 1,
"result" : "created",
"_shards" : {
"total" : 1,
"successful" : 1,
"failed" : 0
},
"_seq_no": 1,
"_primary_term": 1
}
二、删除数据
# 通过id删除 DELETe 'http://localhost:9200/index1/_doc/no1'三、更新数据
3.1 普通修改更新文档数据可以根据id修改,而id修改支持普通修改和脚本修改
# 通过id更新记录
POST 'http://localhost:9200/index1/_doc/no1/_update'
{
"doc":
{
"name":"123",
"age":"321"
}
}
3.2 脚本修改
# 关键字”script”: 标志以脚本的方式修改文档
# “lang”: 表示以何种脚本语言进行修改, “painless”表示以es内置的脚本语言进行修改.
# 此外es还支持多种脚本语言, 如Python, js等等
# “inline”:指定脚本内容 “ctx”代表es上下文, _source 代表文档
POST 'http://localhost:9200/index1/_doc/no1/_update'
{
"script": {
"lang": "painless",
"inline": "ctx._source.name = params.name; ctx._source.age = params.age",
"params": {
"name": "312",
"age": 30
}
}
}
四、数据查询
4.1 通过id查询数据
GET 'http://localhost:9200/index1/_doc/no1'
# 结果
{
"_index" : "accounts",
"_type" : "person",
"_id" : "1",
"_version" : 1,
"found" : true,
"_source" : {
"user" : "123",
"title" : "123",
"desc" : "123"
}
}
4.2 查询所有记录
# 使用 GET 方法,直接请求/Index/Type/_search,就会返回所有记录。
GET 'http://localhost:9200/index1/_doc/_search'
{
"took":2,
"timed_out":false,
"_shards":{"total":5,"successful":5,"failed":0},
"hits":{
"total":2,
"max_score":1.0,
"hits":[
{
"_index":"accounts",
"_type":"person",
"_id":"AV3qGfrC6jMbsbXb6k1p",
"_score":1.0,
"_source": {
"user": "李四",
"title": "工程师",
"desc": "系统管理"
}
},
{
"_index":"accounts",
"_type":"person",
"_id":"1",
"_score":1.0,
"_source": {
"user" : "123",
"title" : "123",
"desc" : "123"
}
}
]
}
}
4.3 全文查询
# 使用 Match 查询,指定的匹配条件是desc字段里面包含"123"这个词
GET 'http://localhost:9200/index1/_doc/_search'
{
"query" : { "match" : { "desc" : "123" }}
}
# 结果
{
"took":3,
"timed_out":false,
"_shards":{"total":5,"successful":5,"failed":0},
"hits":{
"total":1,
"max_score":0.28582606,
"hits":[
{
"_index":"accounts",
"_type":"person",
"_id":"1",
"_score":0.28582606,
"_source": {
"user" : "123",
"title" : "123",
"desc" : "123"
}
}
]
}
}
# Elastic 默认一次返回10条结果,可以通过size字段改变这个设置
# 下面代码指定,每次只返回一条结果
GET 'http://localhost:9200/index1/_doc/_search'
{
"query" : { "match" : { "desc" : "123" }},
"size": 1
}
# 还可以通过from字段,指定位移
GET 'http://localhost:9200/index1/_doc/_search'
{
"query" : { "match" : { "desc" : "管理" }},
"from": 1,
"size": 1
}
4.4 逻辑运算
# 如果有多个搜索关键字, Elastic 认为它们是or关系
# 下面面代码搜索的是软件 or 系统
GET 'http://localhost:9200/index1/_doc/_search'
{
"query" : { "match" : { "desc" : "1 3" }}
}
# 如果要执行多个关键词的and搜索,必须使用布尔查询
GET 'http://localhost:9200/index1/_doc/_search'
{
"query": {
"bool": {
"must": [
{ "match": { "desc": "1" } },
{ "match": { "desc": "3" } }
]
}
}
}



