ES虽然是一个分布式搜索引擎，但使用上依然是CRUD的形式，这也是所有软件都在做的事情，因为所有操作都是围绕数据展开的。
基本操作
index: 指定文档id，文档type固定为_doc。如果文档id已存在，先删除再新增，version版本会递增。
PUT student/_doc/1
{
"name":"star.mai",
"age":30,
"interest":["football","elec-game"]
}
create: _create时如果文档已存在，返回失败。
PUT student/_create/2
{
"name":"star",
"age":25,
"interest":["basketball","music"]
}
POST student/_doc
{
"name":"little.mai",
"age":28,
"interest":["computer","novel"]
}
get: 读取
GET student/_doc/1
update: 注意payload部分使用doc。update时文档不存在返回404。更新是增量操作。
POST student/_update/1
{
"doc": {
"interest":["football","elec-game","computer"]
}
}
批量操作
_bulk: 批量提交
POST _bulk
{
"create":{
"_index":"batch_demo2","_id":2}}
{
"name":"batch2","city":"shanghai"}
{
"update":{
"_index":"batch_demo2","_id":2}}
{
"doc":{
"age":25,"city":"beijing"}}
mget: 批量get
GET _mget
{
"docs":[
{
"_index":"batch_demo",
"_id":1
},
{
"_index":"batch_demo2",
"_id":2
}
]
}
msearch 批量search
POST student/_msearch
{
"index":"batch_demo"}
{
"query":{
"match_all":{
}}}
{
"index":"batch_demo2"}
{
"query":{
"match_all":{
}}}