1.查看所有index：
GET _cat/indices
2.查看索引的type、mapping：
GET [indexName]/_mapping
GET [indexName]/_mappings
GET [indexName]/_mapping/[type]
3.查看某索引的某类型的数据：
GET [indexName]/[type]/_search
GET browser_device_idx/tbl_device/_search
{
"query":
{
"match": {
"groupid":1174
}
}
}
GET browser_device_idx/tbl_device/_search
{
"query":
{
"match": {
"groupid":1174
}
}
}
4.过滤：
DELETE [indexName]/[type]/_query
{
"query": {
"filtered": {
"query": { "match": { "email": "business opportunity" }},
"filter": { "term": { "folder": "inbox" }}
}
}
}
5.查看分词器分词：
常用分词器：standard whitespace simple english pinyin ik
GET /_analyze?analyzer=ik
{
"text":"ahaha傻笑high"
}
GET /_analyze
{
"analyzer":"ik",
"text":"ahaha傻笑high"
}
6.查询指定的部分字段：
通过限定 _source 字段来请求指定字段
GET [indexName]/[type]/_search
{
"query": { "match_all": {}},
"_source": [ "title", "created" ]
}
7.范围查询：
GET [indexName]/[type]/_search
{
"query":{
"range":{
"字段名"：{//范围[148,200)
"gte":148,
"lt":200
}
}
}
}
8.重建索引：
使用【scan-scoll】来批量读取旧索引的文档，然后将通过【bulk API】来将它们推送给新的索引。
GET /old_index/_search?search_type=scan&scroll=1m
{
//获取数据应该通过范围查询进行
//scan-scoll性能比通过范围在各个分片排序再获取好
"query": {
"range": {
"date": {
"gte": "2014-01-01",
"lt": "2014-02-01"
}
}
},
"size": 1000
}
POST _bulk//批量操作
{ "index" : { "_index" : "test", "_type" : "type1", "_id" : "1" } }
{ "field1" : "value1" }
{ "delete" : { "_index" : "test", "_type" : "type1", "_id" : "2" } }
{ "create" : { "_index" : "test", "_type" : "type1", "_id" : "3" } }
{ "field1" : "value3" }
{ "update" : {"_id" : "1", "_type" : "type1", "_index" : "test"} }
{ "doc" : {"field2" : "value2"} }
9.索引别名alias aliases：
检测这个别名指向哪个索引：
GET /*/_alias/my_index
检测哪些别名指向这个索引：
GET /my_index_v1/_alias/*
新索引中添加别名的同时从旧索引中删除它。这个操作需要原子化，所以我们需要用 _aliases ：
POST /_aliases
{
"actions": [
{ "remove": { "index": "my_index_v1", "alias": "my_index" }},
{ "add": { "index": "my_index_v2", "alias": "my_index" }}
]
}
10.范围查询并排序：
GET [indexName]/[type]/_search
{
"query": {
"range": {
"date": {
"gte": "2014-01-01",
"lt": "2014-02-01"
}
}
},
"sort": [
{
"createTime":"desc"
}
]
}
11.排序
GET mcms_iflow/tbl_news_iflow/_search
{
"_source": ["abstract_desc","title","channel_id"],
"query":{
"match_phrase": {
"abstract_desc":"可爱"
}
},
"sort": [
{
"channel_id": {//一级
"order": "asc",
"missing":"_last"//该字段缺省的文档排到最后
}
},
{
"add_time": {//二级
"order": "desc"
}
}
]
}
12.验证查询语句：
GET [indexName]/[type]/_validate/query?explain
{//能够查看es对查询语句的解释
"query": {
...
}
}
13.查询结果数量、分页：
//如果无from、size设置，from默认为0，size默认为10，默认查询出前10个
GET mcms_iflow/tbl_news_iflow/_search
{
"query":{
"match_all": {}
},
"size":20//查前20条
}
//查询出从第10条开始，取20条
GET mcms_iflow/tbl_news_iflow/_search
{
"query":{
"match_all": {}
},
"from":10,
"size":20
}
//如果搜索size大于10000，需要设置index.max_result_window参数
//注意：size的大小不能超过index.max_result_window这个参数的设置，默认为10,000。
PUT _settings
{
"index": {
"max_result_window": "10000000"
}
}
进阶：Elasticsearch——分页查询From&Size VS scroll、Elasticsearch from+size 超过10000结果解决方法
14.搜索 实例：
//(标题含k或摘要含k)&&(范围[a,b])&&(品类为x&&文本类型为y)
//bool可以嵌套，match_phrase精确匹配，范围可lt lte gt gte，
GET mcms_iflow/tbl_news_iflow/_search
{
"query":{
"bool":{
"must":[{
"bool":{
"should":[{
"match":{
"title":{
"query":"樱子",
"type":"phrase"
}
}
},{
"match_phrase":{
"abstract_desc":"樱子"
}
}]
}
},{
"range":{
"add_time": {
"from": "1487927871500",
"to": "1492185599999",
"include_lower":true,
"include_upper":true
}
}
},{
"bool":{
"must":[{
"term":{
"variety_type": "1"
}
},{
"term":{
"articletype": "1"
}
}]
}
} ]
}
}
}
15.聚合-高级统计
POST mcms_iflow/tbl_news_iflow/_search
{
"size":0,
"aggs":{
"grades_stats":{
"extended_stats": {
"field": "add_time"
}
}
}
}
更多聚合：Elasticsearch分析聚合、官方-Aggregations
16.短语匹配 match_phrase
GET mcms_iflow/tbl_news_iflow/_search
{
"_source": ["abstract_desc","title"],//只显示指定字段
"query":{
"match_phrase": {//短语匹配
"abstract_desc":"可爱"
}
}
}
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