以下操作在es 7.x版本下执行
CRUD
批量添加数据
POST /company/_bulk
添加单条数据，一般用POST
POST /company/_doc/1
{
"account_number":1,"balance":39225,"firstname":"Amber","lastname":"Duke","age":32,"gender":"M","address":"880 Holmes Lane","employer":"Pyrami","email":"[email protected]","city":"Brogan","state":"IL"}
更新数据，一般用PUT
PUT /company/_doc/1
{
"account_number":1,"balance":2222,"firstname":"Amber2","lastname":"Duke2","age":32,"gender":"M","address":"880 Holmes Lane","employer":"Pyrami","email":"[email protected]","city":"Brogan","state":"IL"}
查找所有数据
GET /company/_search
{
"query": {
"match_all": {
}
}
}
查找指定id数据
GET /company/_doc/1
删除指定id数据
DELETE /company/_doc/1
检索
分页查找
from：开始页
size：每页显示记录数
GET /company/_search
{
"query": {
"match_all": {
}
},
"from": 0,
"size": 20
}
显示指定字段
_source
GET /company/_search
{
"query": {
"match_all": {
}
},
"_source": [
"account_number", "balance"
],
"from": 0,
"size": 5
}
按指定字段查询
match 模糊搜索，进行自动分词
GET /company/_search
{
"query": {
"match": {
"address": "Road"
}
}
}
match和match_phrase 精确查询 ，不进行分词
GET /company/_search
{
"query": {
"match": {
"address.keyword": "263 Aviation Road"
}
}
}
或
{
"query": {
"match_phrase": {
"address.keyword": "263 Aviation Road"
}
}
}
多字段查询
multi_match
GET /company/_search
{
"query": {
"multi_match": {
"query": "Albemarle AK",
"fields": ["address","state"]
}
}
}
复合查询
bool 复合查询
must：必须
must_not：必须不能
should：应该，should只影响相关评分
例子：查询address里面包含305，state不能包含KS，如果年龄>=20并且<=34就最好
GET /company/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"address": "305"
}
}
],
"must_not": [
{
"match": {
"state": "KS"
}
}
],
"should": [
{
"range": {
"age": {
"gte": 20,
"lte": 34
}
}}
]
}
}
}
过滤 filter
filter可以替换 must， filter不需要评分，效率比query好
GET /company/_search
{
"query": {
"bool": {
"filter": {
"match": {
"gender": "M"
}
}
}
}
}
term精确查询
term/terms只能用于非文本类型（string）
一、term 匹配单个值
二、terms 匹配多个值
{
"query": {
"term": {
"age": {
"value": "25"
}
}
}
}
{
"query": {
"terms": {
"age": [
"22",
"30"
]
}
}
}
以下查询文本类型，会查不到数据
{
"query": {
"term": {
"gender": {
"value": "M"
}
}
}
}
每一个text类型的字段，都有一个keyword，用来精确匹配，以下内容可以查找到数据
GET /company/_search
{
"query": {
"term": {
"gender.keyword": {
"value": "M"
}
}
}
}
聚合查询：用来分析数据
查看平均薪水
aggs：聚合查询，
avg_balance：指定查询的名称，任意有效字符串
avg：关键字，用于查询平均值
field：用于指定查询哪个字段
GET /company/_search
{
"aggs": {
"avg_balance": {
"avg": {
"field": "balance"
}
}
}
}
统计
统计地址中包含Street并按年龄进行分组
GET /company/_search
{
"query": {
"match": {
"address": "Street"
}
},
"aggs": {
"age_count": {
"terms": {
"field": "age",
"size": 100
}
}
}
}