环境：es(7.14.0)+kibana(7.14.2)
一、ES查询示例
1、查看es信息
GET /
2、创建索引
PUT demo_person
3、删除索引
DELETE demo_person
说明：
DELETE /index_one,index_two --删除两个索引
DELETE /index_* --删除index_k开头的索引
DELETE /_all --删除全部索引
DELETE /* --删除全部索引
4、创建索引包含setting和mapping
PUT demo_person
{
"settings": {
"number_of_shards": 5,"number_of_replicas": 1
},"mappings": {
"properties": {
"about": {
"type": "text","fields": {
"keyword": {
"type": "keyword","ignore_above": 256
}
}
},"age": {
"type": "long"
},"first_name": {
"type": "text","interests": {
"type": "text","ignore_above": 256
}
},"fielddata": true
},"last_name": {
"type": "keyword"
}
}
}
}
5、修改setting
PUT demo_person/_settings
{
"number_of_replicas" : 2
}
只能修改副本分片，主分片在创建索引时确定，后续不可以再次修改
6、修改mapping
PUT demo_person/_mapping/_doc?include_type_name=true
{
"properties":{
"interests":{
"type":"text","fielddata":true
}
}
}
7、查询总数
GET demo_person/_count
{
"query": {
"match_all": {}
}
}
8、添加/修改数据
PUT /demo_person/_doc/1
{
"first_name" : "John","last_name" : "Smith","age" : 25,"about" : "I love to go rock climbing","interests": [ "sports","music" ]
}
9、批量插入数据
POST demo_person/_bulk
{"index":{}}
{"first_name":"zhang","last_name":"san","age" :44,"about":"I like to collect hehe albums","interests":["music"]}
{"index":{}}
{"first_name":"li","last_name":"si","age":12,"about":"I like to drink","interests":["drink"]}
10、查询所有数据
GET demo_person/_search
{
"query": {
"match_all": {}
}
}
11、查询指定条数
GET demo_person/_search
{ "size": 20,"query": {
"match_all": {}
}
}
12、根据ID查询
GET /demo_person/_doc/1?pretty
13、一个查询字符串搜索
GET /demo_person/_search?q=last_name:Smith
14、match搜索
GET /demo_person/_search
{
"query" : {
"match" : {
"last_name" : "Smith"
}
}
}
15、term搜索
GET /demo_person/_search
{
"query": {
"term": {
"last_name": {
"value": "Smith"
}
}
}
}
基于词项的查询
如 term 或 fuzzy 这样的底层查询不需要分析阶段，它们对单个词项进行操作。用 term 查询词项 Foo 只要在倒排索引中查找 准确词项 ，并且用 TF/IDF 算法为每个包含该词项的文档计算相关度评分 _score 。
记住 term 查询只对倒排索引的词项精确匹配，这点很重要，它不会对词的多样性进行处理（如， foo 或 FOO ）。这里，无须考虑词项是如何存入索引的。如果是将 ["Foo","Bar"] 索引存入一个不分析的（ not_analyzed ）包含精确值的字段，或者将 Foo Bar 索引到一个带有 whitespace 空格分析器的字段，两者的结果都会是在倒排索引中有 Foo 和 Bar 这两个词。
基于全文的查询
像 match 或 query_string 这样的查询是高层查询，它们了解字段映射的信息：
如果查询 日期（date） 或 整数（integer） 字段，它们会将查询字符串分别作为日期或整数对待。
如果查询一个（ not_analyzed ）未分析的精确值字符串字段，它们会将整个查询字符串作为单个词项对待。
但如果要查询一个（ analyzed ）已分析的全文字段，它们会先将查询字符串传递到一个合适的分析器，然后生成一个供查询的词项列表。
16、bool搜索
GET /demo_person/_search
{
"query": {
"bool": {
"must": [
{"match": {
"last_name": "Smith"
}}
],"filter": [
{"range": {
"age": {
"gte": 30
}
}}
]
}
}
}
说明：
must: 完全匹配条件 相当于sql中的and
should： 至少满足一个条件 相当于sql中的 or
must_not: 文档必须不匹配条件 相当于sql中的!=
17、must多条件匹配查询
GET /demo_person/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"last_name": "Smith"
}
},{
"match": {
"age": 32
}
}
]
}
}
}
18、Should满足一个条件查询
GET /demo_person/_search
{
"query": {
"bool": {
"should": [
{
"match": {
"last_name": "Fir"
}
},{
"match": {
"age": 32
}
}
]
}
}
}
19、must_not必须不匹配查询
GET /demo_person/_search
{
"query": {
"bool": {
"must_not": [
{
"match": {
"last_name": "Fir"
}
},{
"match": {
"age": 32
}
}
]
}
}
}
20、多个字段查询内容
GET /demo_person/_search
{
"query": {
"multi_match": {
"query": "collect rock","fields": ["last_name","about"]
}
}
}
21、一个字段查询多个内容
GET /demo_person/_search
{
"query": {
"terms": {
"about": [
"rock","hehe"
]
}
}
}
22、通配符和正则匹配
GET /demo_person/_search
{
"query": {
"bool": {
"filter": [
{
"wildcard":{
"last_name":"*mi*"
}
}]
}
}
}
23、前缀查询
GET /demo_person/_search
{
"query": {
"prefix": {
"last_name": {
"value": "Smi"
}
}
}
}
24、短语匹配
GET /demo_person/_search
{
"query" : {
"match_phrase" : {
"about" : "rock climbing"
}
}
}
25、输入即搜索
GET /demo_person/_search
{
"query": {
"match_phrase_prefix": {
"about": "I like to collect"
}
}
}
26、高亮搜索
GET /demo_person/_search
{
"query" : {
"match_phrase" : {
"about" : "rock climbing"
}
},"highlight": {
"fields" : {
"about" : {}
}
}
}
27、统计
GET /demo_person/_search
{
"aggs": {
"all_result": {
"terms": { "field": "interests" }
}
}
}
28、根据条件统计
GET /demo_person/_search
{
"query": {
"match": {
"last_name": "smith"
}
},"aggs": {
"all_interests": {
"terms": {
"field": "interests"
}
}
}
}
29、获取平均数
GET /demo_person/_search
{
"aggs" : {
"all_interests" : {
"terms" : { "field" : "interests" },"aggs" : {
"avg_age" : {
"avg" : { "field" : "age" }
}
}
}
}
}
30、多个字段匹配查询
GET /demo_person/_search
{
"query": {
"multi_match": {
"query": "Smith","about"]
}
}
}
31、范围查询
GET demo_person/_search
{
"query": {
"range": {
"age": {
"gte": 30,"lt": 35
}
}
}
}
32、排序
GET /demo_person/_search
{
"query": {
"bool": {
"must": [
{"term": {
"last_name.keyword": {
"value": "Smith"
}
}},{
"term": {
"about": {
"value": "climbing"
}
}
}
]
}
},"sort": [
{
"last_name": {
"order": "desc"
}
}
]
}
33、删除一条数据
DELETE /demo_person/_doc/TC4cJ4ABPbcGgBnacj_w
34、批量删除
POST /_bulk
{"delete":{"_index":"demo_person","_id":"1"}}
{"delete":{"_index":"demo_person","_id":"12"}}
35、分页查询
GET /demo_person/_search?from=1&size=10
或者
GET /demo_person/_search
{
"from": 1,"size": 10
}
Size：显示应该返回的结果数量，默认是 10
From：显示应该跳过的初始结果数量，默认是 0
36、游标查询
GET /demo_person/_search?scroll=5m
{
"query": {
"match_all": {}
},"sort": [
{
"_doc": {
"order": "desc"
}
}
],"size": 1
}
然后获取scroll_id继续查询，如下
GET _search/scroll
{
"scroll":"5m","scroll_id":"FGluY2x1ZGVfY29udGV4dF91dWlkDnF1ZXJ5VGhlbkZldGNoBRZybzdMSjJ2NVNiV0poWVhwbFEtYmdnAAAAAAEj8FgWV0QzQ0pVQm9URnVBVFpmOGpDSC05QRZybzdMSjJ2NVNiV0poWVhwbFEtYmdnAAAAAAEj8FkWV0QzQ0pVQm9URnVBVFpmOGpDSC05QRZybzdMSjJ2NVNiV0poWVhwbFEtYmdnAAAAAAEj8FoWV0QzQ0pVQm9URnVBVFpmOGpDSC05QRZybzdMSjJ2NVNiV0poWVhwbFEtYmdnAAAAAAEj8FsWV0QzQ0pVQm9URnVBVFpmOGpDSC05QRZybzdMSjJ2NVNiV0poWVhwbFEtYmdnAAAAAAEj8FwWV0QzQ0pVQm9URnVBVFpmOGpDSC05QQ=="
}
37、字段存在查询
GET /demo_person/_search
{
"query": {
"exists": {"field": "aa"}
}
}
38、复杂查询demo
Demo1
{
"bool": {
"must": { "match": { "tweet": "elasticsearch" }},"must_not": { "match": { "name": "mary" }},"should": { "match": { "tweet": "full text" }},"filter": { "range": { "age" : { "gt" : 30 }} }
}
}
demo2
{
"bool": {
"must": { "match": { "email": "business opportunity" }},"should": [
{ "match": { "starred": true }},{ "bool": {
"must": { "match": { "folder": "inbox" }},"must_not": { "match": { "spam": true }}
}}
],"minimum_should_match": 1
}
}
Demo3
GET /my_store/products/_search
{
"query" : {
"filtered" : {
"filter" : {
"bool" : {
"should" : [
{ "term" : {"productID" : "KDKE-B-9947-#kL5"}},{ "bool" : {
"must" : [
{ "term" : {"productID" : "JODL-X-1937-#pV7"}},{ "term" : {"price" : 30}}
]
}}
]
}
}
}
}
}
39、拷贝索引
POST _reindex
{
"source": {
"index": "twitter"
},"dest": {
"index": "new_twitter"
}
}
40、索引别名
PUT /my_index_v1 –创建索引
PUT /my_index_v1/_alias/my_index --创建my_index_v1别名为my_index
GET /*/_alias/my_index –-查看别名指向哪个索引
GET /my_index_v1/_alias/* --查看哪些别名指向此索引
41、查询集群健康
GET /_cluster/health
status 字段指示着当前集群在总体上是否工作正常。它的三种颜色含义如下：
green：所有的主分片和副本分片都正常运行。
Yellow：所有的主分片都正常运行，但不是所有的副本分片都正常运行。
Red:有主分片没能正常运行。
文章浏览阅读784次。react router redux antd eslint pretti...
文章浏览阅读1.2k次，点赞23次，收藏24次。Centos 8 安装es_...
文章浏览阅读1.9k次，点赞2次，收藏7次。针对多数据源写入的...