1、新增索引
#请求
put 192.168.1.139:9200/test11
{
"mappings": {
"properties": {
"title": {
"type": "text"
},
"year": {
"type": "date",
"format": "yyyy"
},
"type": {
"type": "integer"
}
}
},
"settings": {
"index": {
"number_of_shards": 5,
"number_of_replicas": 1
}
}
}
# 返回
{
"acknowledged": true,
"shards_acknowledged": true,
"index": "test11"
}
2、新增文档
#请求
post 192.168.1.139:9200/test11/_doc/
{
"title": "标题",
"year": "2024-01-18 12:00:34",
"type": 1,
"star": 5.2,
"director": "啦啦啦"
}
#返回
{
"_index": "test11",
"_id": "QlS7Go0BnqotedfyWh-N",
"_version": 1,
"result": "created",
"_shards": {
"total": 2,
"successful": 1,
"failed": 0
},
"_seq_no": 0,
"_primary_term": 1
}
3、 查询文档
########### 查询所有
get 192.168.1.139:9200/test11/_search/
{
"query":{
"match_all":{
}
}
}
#返回
{
"took": 163,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 1.0,
"hits": [
{
"_index": "test11",
"_id": "QlS7Go0BnqotedfyWh-N",
"_score": 1.0,
"_source": {
"title": "标题",
"year": "2024-01-18 12:00:34",
"type": 1,
"star": 5.2,
"director": "啦啦啦"
}
}
]
}
}
########### 匹配查询(match)
# 查看title 字段有"标题"的
GET /test11/_search
{
"query":{
"match": {
"title": "标题"
}
}
}
# 查看所有字段有"标题"
body = {
"query": {
"multi_match": {
"query": "标题",
}
}
}
# 查看title字段有"标"or"题"的
GET /test11/_search
{
"query": {
"match": {
"title": {
"query": "标题",
"analyzer": "standard"
}
}
}
}
3. 多字段查询
# 查询 title or director 含有标的
GET /test11/_search/
{
"query": {
"multi_match": {
"query": "标",
"fields": [
"title",
"director"
]
}
}
}
4. 词条匹配(term)
# term 查询被用于精确值 匹配，
# 这些精确值可能是数字、时间、布尔或者那些未分词的字符串(keyword)
GET /test11/_search/
{
"query":{
"term":{
"director":"标题"
}
}
}
# term只能完整值匹配，这样就查询不出来
GET /test11/_search/
{
"query":{
"term":{
"director":"标"
}
}
}
对于未分词的字符串查找
GET /test11/_search/
{
"query":{
"term":{
"director.keyword":"标"
}
}
}
5. 范围
GET test11/_search
{
"query": {
"range": {
"type": {
"gte": 0,
"lte": 1
}
}
}
}
6. 复杂查询
# bool有3类查询关系，must(都满足),should(其中一个满足),must_not(都不满足)
GET test11/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"type": 1
}
},
{
"match": {
"title": "标"
}
},
{
"range": {
"type": {
"gte": 1,
"lte": 2
}
}
}
]
}
}
}
7.通配符
# 诸如我的丧失女友，逆我者亡等等
GET test11/_search
{
"query":{
"wildcard":{
"title":"*标*"
}
}
}
8.多字段搜索
GET /test11/_search
{
"query": {
"match": {
"title": {
"query": "腾讯 收入",
"operator": "and"
}
}
}
}
9.类似数据表一样，条件、范围、排序
GET test11/_search
{
"sort":{// 排序
"type":{"order":"asc"}// 类型排序，asc正序，desc倒叙
}
#“sort”: { “update_time”: { “order”: “asc”,”mode”:”min” }}//对数字或者日期可以查询多个值当中min、max、avg、sum排序
"from":0,//条目开始位置
"size":10,// 每页数量
"query": {// 查询条件
"bool": {
"must": [
{
"match": {
"type": 1
}
},
{
"match": {
"title": "标"
}
},
{
"range": {
"type": {
"gte": 1,
"lte": 2
}
}
}
]
}
}
}
10、精准匹配match_phrase
GET test11/_search
{
"query":{
"match_phrase":{
"title":"标题1"
}
}
}
4、指定id插入文档
PUT /test11/1
{
"title": "标题11",
"year": "2024-01-18 12:00:34",
"type": 1,
"star": 5.2,
"director": "啦啦啦"
}
# 返回
{
"_index" : "test11",
"_type" : "_doc",
"_id" : "1",
"_version" : 1,
"result" : "created",
"_shards" : {
"total" : 2,
"successful" : 2,
"failed" : 0
},
"_seq_no" : 26,
"_primary_term" : 4
}
5、指定id获取文档
GET /test11/_doc/1
# 返回
{
"_index" : "customer",
"_type" : "_doc",
"_id" : "1",
"_version" : 1,
"_seq_no" : 26,
"_primary_term" : 4,
"found" : true,
"_source" : {
"title": "标题11",
"year": "2024-01-18 12:00:34",
"type": 1,
"star": 5.2,
"director": "啦啦啦"
}
}
6、修改文档
# 单个文档单个字段修改
post test11/_update/1
{
"doc": {
"title":"标题2222"
}
}
#单个文档全部字段修改
put test11/_doc/1
{
"title": "标题333",
"year": "2024-01-19 12:00:34",
"type": 2,
"star": 5.3,
"director": "啦e啦"
}
# 全部文档统一修改
POST /test11/_doc/_update_by_query
{
"query": {// 根据查询条件修改，若不需要，在这里不需要query,只要script
"match": {
"director": "啦e啦"
}
},
"script": {
"inline": "ctx._source['title'] = '都是这个标题'"
}
}
7、删除文档
delete test11/_doc/1
8、获取索引信息
# 查询所有索引
get /_cat/indices
# 查询单个索引
get /test11/
查询对应索引的数据结构
`GET /test11/_mapping`
查询对应索引的数据条数
GET /test11/_count
9、删除索引
delete /test11
10、修改索引
# 修改名字
## 方法1
为原索引增加别名，则就可以用别名作为新名字
## 方法2
新建一个索引，然后把就数据copy到新索引
# 迁移数据
POST _reindex
{
"source": {
"index": "test1"// 旧索引
},
"dest": {
"index": "test2"// 新索引
}
}
# 修改字段类型
由于es无法修改mapping，则需要曲线救国，可通过新建索引的方式来修改字段类型
先新增新的索引
然后吧旧数据倒过来
POST _reindex
{
"source": {
"index": "test1"// 旧索引
},
"dest": {
"index": "test2"// 新索引
}
}
## 此外还可以进行字段名修改，新创建的索引字段名为create_time
PUT test2
{
"mappings": {
"properties": {
"create_time": {
"type": "text"
}
}
}
}
POST _reindex
{
"source": {
"index": "test1
},
"dest": {
"index": "test2"
},
"script": {
"source": "ctx._source.create_time= ctx._source.remove(\"create_date\")"
}
}
