温馨提示：电脑端看不到右侧目录的话请减小缩放比例。
新建index，要向服务器发送一个PUT请求，下面是使用curl命令新建了一个名为test的index的例子
curl -XPUT 'localhost:9200/test'Response：
{
"acknowledged": true,
"shards_acknowledged": true,
"index": "test"
}删除index，要向服务器发送一个delete请求，下面是删除上面的test的index的例子
curl -XDELETE 'http://localhost:9200/customer'Response:
{
"acknowledged": true
}查询index，要发送一个HEAD请求，例子如下
curl -IHEAD 'localhost:9200/test'Reponse:
HTTP/1.1 200 OK
content-type: application/json; charset=UTF-8
content-length: 359接下来的操作用curl比较不方便，复杂的内容使用PostMan进行操作，创建映射关系要使用PUT请求，如下json代码代表我定义了三个字段，分别是title，url和doc，他们的type属性即为数据类型，关于elasticsearch的数据类型这里不过多赘述，analyzer为ik_max_word代表使用了ik分词器的最粗粒度分词
PUT test/_mapping
{
"properties": {
"title": {
"type": "text",
"analyzer": "ik_max_word"
},
"url": {
"type": "text"
},
"doc": {
"type": "text",
"analyzer": "ik_max_word"
}
}
}Reponse:
{
"acknowledged": true
}查询索引库的映射关系要使用GET请求，如下我查询了上面创建的映射关系
curl -XGET 'localhost:9200/test/_mapping'Response:
{
"test" : {
"mappings" : {
"properties" : {
"doc" : {
"type" : "text",
"analyzer" : "ik_max_word"
},
"title" : {
"type" : "text",
"analyzer" : "ik_max_word"
},
"url" : {
"type" : "text"
}
}
}
}
}添加数据使用GET请求发送json数据，以上面的索引库为例，我添加以下数据
GET test/_doc
{
"title": "PlumK's blog",
"url": "plumk.site",
"doc": "this is the content,这里是正文"
}更新数据需要知道数据的id，可以通过查找获得，其他的跟添加数据差不多，GET请求http://localhost:9200/test/_doc/bm87BW8BcAj1cF19_7Sfjson如下：（这里的bm87BW8BcAj1cF19_7Sf就是我上面插入数据的id）
GET test/_doc/bm87BW8BcAj1cF19_7Sf
{
"title": "PlumK's blog",
"url": "plumk.site",
"doc": "this is the content,这里是修改后的正文"
}Response:
{
"_index": "test",
"_type": "_doc",
"_id": "bm87BW8BcAj1cF19_7Sf",
"_version": 2,
"result": "updated",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"_seq_no": 1,
"_primary_term": 1
}删除数据同样需要知道id，以删除上面的数据为例，对下面url发送DELETE请求：
localhost:9200/test/_doc/bm87BW8BcAj1cF19_7Sf最基本的查询，他将返回所有结果，每个对象的得分为1
POST /test/_search
{
"query":{
"match_all":{}
}
}Response:
{
"took": 9,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 1.0,
"hits": [
{
"_index": "test",
"_type": "_doc",
"_id": "bm87BW8BcAj1cF19_7Sf",
"_score": 1.0,
"_source": {
"title": "PlumK's blog",
"url": "plumk.site",
"doc": "this is the content,这里是正文"
}
}
]
}
}match查询返回match中属性相同的条目，下面如果url为plumk就查询不到了，也就是说必须属性完全相同
POST test/_search
{
"query": {
"match": {
"url": "plumk.site"
}
}
}Reponse:
{
"took": 11,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 0.2876821,
"hits": [
{
"_index": "test",
"_type": "_doc",
"_id": "bm87BW8BcAj1cF19_7Sf",
"_score": 0.2876821,
"_source": {
"title": "PlumK's blog",
"url": "plumk.site",
"doc": "this is the content,这里是修改后的正文"
}
}
]
}
}该查询使用查询解析器和query_string关键字。例如下：
POST test/_search
{
"query": {
"query_string": {
"query": "plumk"
}
}
}Response:
{
"took": 25,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 0.2876821,
"hits": [
{
"_index": "test",
"_type": "_doc",
"_id": "bm87BW8BcAj1cF19_7Sf",
"_score": 0.2876821,
"_source": {
"title": "PlumK's blog",
"url": "plumk.site",
"doc": "this is the content,这里是修改后的正文"
}
}
]
}
}设置minimum_should_match字段，如果满足这个匹配度就会被查询出来，不多废话，看例子
GET test/_search
{
"query": {
"match": {
"title":{"query": "plumk的博客","minimum_should_match": "50%"}
}
}
}这里尝试在url和title中搜索plumk
GET test/_search
{
"query": {
"multi_match": {
"query": "plumk",
"fields": ["url", "title"]
}
}
}接下来的查询我接下来可能使用不到，但是考虑到会有同样刚入门的小白看到这篇博客，所以这里我还是从网上摘抄以下
这些查询主要处理数字、日期等结构化数据。如下：
POST /schools/_search
{
"query":{
"term":{"zip":"176115"}
}
}Reponse:
{
"took":1, "timed_out":false, "_shards":{"total":10, "successful":10, "failed":0},
"hits":{
"total":1, "max_score":0.30685282, "hits":[{
"_index":"schools", "_type":"school", "_id":"1", "_score":0.30685282,
"_source":{
"name":"Central School", "description":"CBSE Affiliation",
"street":"Nagan", "city":"paprola", "state":"HP", "zip":"176115",
"location":[31.8955385, 76.8380405], "fees":2200,
"tags":["Senior Secondary", "beautiful campus"], "rating":"3.3"
}
}]
}
}该查询用于查找值在值范围之间的对象。为此，我们需要使用如下运算符
POST /schools*/_search
{
"query":{
"range":{
"rating":{
"gte":3.5
}
}
}
}Response:
{
"took":31, "timed_out":false, "_shards":{"total":10, "successful":10, "failed":0},
"hits":{
"total":3, "max_score":1.0, "hits":[
{
"_index":"schools", "_type":"school", "_id":"2", "_score":1.0,
"_source":{
"name":"Saint Paul School", "description":"ICSE Affiliation",
"street":"Dawarka", "city":"Delhi", "state":"Delhi",
"zip":"110075", "location":[28.5733056, 77.0122136], "fees":5000,
"tags":["Good Faculty", "Great Sports"], "rating":"4.5"
}
},
{
"_index":"schools_gov", "_type":"school", "_id":"2", "_score":1.0,
"_source":{
"name":"Government School", "description":"State Board Affiliation",
"street":"Hinjewadi", "city":"Pune", "state":"MH", "zip":"411057",
"location":[18.599752, 73.6821995] "fees":500,
"tags":["Great Sports"], "rating":"4"
}
},
{
"_index":"schools", "_type":"school", "_id":"3", "_score":1.0,
"_source":{
"name":"Crescent School", "description":"State Board Affiliation",
"street":"Tonk Road", "city":"Jaipur", "state":"RJ", "zip":"176114",
"location":[26.8535922, 75.7923988], "fees":2500,
"tags":["Well equipped labs"], "rating":"4.5"
}
}
]
}
}这个比较复杂，这里也不过多赘述，可以去看这个博客
此外还有Joining查询，这个涉及到嵌套映射，就不展开讲了，还有地理查询，暂时用不到，可以去看官方文档
未完待续。。。
原文：https://www.cnblogs.com/Rasang/p/12041729.html