一、elasticsearch的API：
1、查询整个集群中的文档的数量
GET _count
{
"query": {
"match_all": {}
}
}
2、查询整个集群中的文档的详细信息
GET _search
{
"query": {
"match_all": {}
}
}
3、添加数据
PUT index_name/doc_type_name/id (添加和更新)(更新时_version会增加)
{
"first_name" : "John",
"last_name" : "Smith",
"age" : 25,
"about" : "I love to go rock climbing"
}
PUT index_name/doc_type_name/id?version=1 (更新)(更新时_version会增加)(增加了并发控制)
{
"first_name" : "John",
"last_name" : "Smith",
"age" : 25,
"about" : "I love to go rock climbing"
}
PUT index_name/doc_type_name/id?version=1&version_type=external (更新和创建都可以)(使用外部版本控制系统)
{
"first_name" : "John",
"last_name" : "Smith",
"age" : 25,
"about" : "I love to go rock climbing"
}
POST index_name/doc_type_name/id/_update (局部更新)(增加tags和views两个字段)
{
"doc" : {
"tags" : [ "testing" ],
"views": 0
}
}
POST index_name/doc_type_name/id/_update (局部更新)(views字段的值+1)
{
"script" : "ctx._source.views+=1"
}
POST index_name/doc_type_name/id/_update (局部更新)(tags数组字段增加新成员“search”)
{
"script" : "ctx._source.tags+=new_tag",
"params" : {
"new_tag" : "search"
}
}
POST index_name/doc_type_name/id/_update (局部更新)(如果views==1，就删除文档)
{
"script" : "ctx.op = ctx._source.views == count ? 'delete' : 'none'",
"params" : {
"count": 1
}
}
POST index_name/doc_type_name/id/_update (局部更新)(更新可能不存在的文档)
{
"script" : "ctx._source.views+=1",
"upsert": {
"views": 1
}
}
POST index_name/doc_type_name/id/_update?retry_on_conflict=5 (局部更新)(并发情况下失败后的尝试更新次数)
{
"script" : "ctx._source.views+=1",
"upsert": {
"views": 0
}
}
PUT index_name/doc_type_name/id?op_type=create(创建)
{
"first_name" : "John",
"last_name" : "Smith",
"age" : 25,
"about" : "I love to go rock climbing"
}
PUT index_name/doc_type_name/id/_create(创建)
{
"first_name" : "John",
"last_name" : "Smith",
"age" : 25,
"about" : "I love to go rock climbing"
}
POST index_name/doc_type_name (创建)自动生成ID
{
"first_name" : "John",
"last_name" : "Smith",
"age" : 25,
"about" : "I love to go rock climbing"
}
4、查询单一行的数据(DLETE方法删除文档、HEAD方法检查文档是否存在、PUT方法更新文档)
GET index_name/doc_type_name/id
GET index_name/doc_type_name/id?_source=last_name,about
GET index_name/doc_type_name/id/_source
5、查询某一doc_type的所有数据(默认情况下搜索会返回前10个结果)
GET index_name/doc_type_name/_search
6、条件查询
GET index_name/doc_type_name/_search?q=last_name:Smith
GET index_name/doc_type_name/_search
{
"query" : {
"match" : {
"last_name" : "Smith"
}
}
}
下面这个查询用到了过滤器
{
"query": {
"filtered": {
"filter": {
"range": {
"age": {
"gt": 30
}
}
},
"query": {
"match": {
"last_name": "smith"
}
}
}
}
}
7、全文搜索(也是条件查询)（可以看出查询体和6一模一样，只是7中有两个单词，这个查询单词是或的关系，也就是说只要about字段含有rock或者climbing的行都会被查到）
GET index_name/doc_type_name/_search
{
"query" : {
"match" : {
"about" : "rock climbing"
}
}
}
8、短语搜索（也是条件查询）（这个查询与7的不同就是，这两个单词是且的关系，也就是说about字段同时含有rock和climbing的行才会被查到）
GET index_name/doc_type_name/_search
{
"query" : {
"match_phrase" : {
"about" : "rock climbing"
}
}
}
9、高亮我们的搜索(也是条件查询)
GET index_name/doc_type_name/_search
{
"query" : {
"match_phrase" : {
"about" : "rock climbing"
}
},
"highlight": {
"fields" : {
"about" : {}
}
}
}
10、聚合（统计分析+条件查询）
PUT index_name/_mapping/doc_type_name
{
"properties": {
"field_name": {
"type": "text",
"fielddata": true
}
}
}
GET index_name/doc_type_name/_search
{
"aggs": {
"all_interests": {
"terms": {
"field": "last_name"
}
}
}
}
GET index_name/doc_type_name/_search
{
"query": {
"match": {
"last_name": "smith"
}
},
"aggs": {
"all_interests": {
"terms": {
"field": "interests"
}
}
}
}
GET index_name/doc_type_name/_search
{
"aggs" : {
"all_interests" : {
"terms" : { "field" : "interests" },
"aggs" : {
"avg_age" : {
"avg" : { "field" : "age" }
}
}
}
}
}
10、集群健康状况
GET _cluster/health
11、创建索引
PUT index_name 分配3个主分片和每个主分片都有一个复制分片；当索引创建完成后，主分片的数量就不可以变了
{
"settings" : {
"number_of_shards" : 3,
"number_of_replicas" : 1
}
}
PUT index_name/_settings 索引创建完成后，复制分片的数量是可以改变的
{
"number_of_replicas" : 2
}
12、检查文档是否存在
HEAD index_name/doc_type_name/id
13、删除文档
DELETE index_name/doc_type_name/id(删除时_version会增加)
14、检索多个文档
POST _mget
{
"docs" : [
{
"_index" : "website",
"_type" : "blog",
"_id" : 2
},
{
"_index" : "website",
"_type" : "pageviews",
"_id" : 1,
"_source": "views"
}
]
}
POST index_name/doc_type_name/_mget
{
"docs" : [
{ "_id" : 2 },
{ "_type" : "pageviews", "_id" : 1 }
]
}
POST index_name/doc_type_name/_mget
{
"ids" : [ "2", "1" ]
}
15、批量操作（每个请求都是独立的，所以不能实现事务）
