添加索引
添加的方法有很多，简单的来说就是将JSON格式的数据放到Elasticsearch 索引中
一下请求都在shell中，貌似不太专业，你可以直接在Kibana操作
添加一个
直接使用PUT请求，将指定索引添加到文档的索引。如果该请求customer尚不存在，此请求将自动创建该索引，添加ID为1
添加命令
curl -X PUT "localhost:9200/customer/_doc/1?pretty" -H 'Content-Type: application/json' -d' { "name": "John Doe" } '
返回值
{
"_index" : "customer",
"_type" : "_doc",
"_id" : "1",
"_version" : 1,
"result" : "created",
"_shards" : {
"total" : 2,
"successful" : 1,
"failed" : 0
},
"_seq_no" : 0,
"_primary_term" : 1
}
通过id查看文档
curl -X GET "localhost:9200/customer/_doc/1?pretty"
返回值
{
"_index" : "customer",
"_type" : "_doc",
"_id" : "1",
"_version" : 1,
"_seq_no" : 26,
"_primary_term" : 4,
"found" : true,
"_source" : {
"name": "John Doe"
}
}
批量索引文档
如果一次性添加一个以上的索引，则可以使用批量添加API，可以优化运行速度。这取决于，文档的大小和复杂性、索引编制和搜索负载以及集群的可用资源
Elasticsearch 官方提供的示例数据
运行命令
curl -H "Content-Type: application/json" -XPOST "localhost:9200/bank/_bulk?pretty&refresh" --data-binary "@accounts.json"
curl "localhost:9200/_cat/indices?v"
返回结果，后面会详述其含义
health status index uuid pri rep docs.count docs.deleted store.size pri.store.size
yellow open bank l7sSYV2cQXmu6_4rJWVIww 5 1 1000 0 128.6kb 128.6kb
查看索引结构
命令
curl 'http://localhost:9200/bank/_mapping'
返回结果
{
"bank": {
"mappings": {
"properties": {
"account_number": {
"type": "long"
},
"address": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"age": {
"type": "long"
},
"balance": {
"type": "long"
},
"city": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"email": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"employer": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"firstname": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"gender": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"lastname": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"state": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
}
}
}
简单搜索
每个搜索都是独立的，Elasticsearch 在请求中不维护任何状态信息
命令
curl -X GET "localhost:9200/bank/_search?pretty" -H 'Content-Type: application/json' -d'
{
"query": { "match_all": {} },
"sort": [
{ "account_number": "asc" }
]
}
根据from和size进行分页查询
curl -X GET "localhost:9200/bank/_search?pretty" -H 'Content-Type: application/json' -d'
{
"query": { "match_all": {} },
"sort": [
{ "account_number": "asc" }
],
"from": 10,
"size": 10
}
'
返回结果
{
"took" : 160,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 1000,
"relation" : "eq"
},
"max_score" : null,
"hits" : [
{
"_index" : "bank",
"_type" : "_doc",
"_id" : "0",
"_score" : null,
"_source" : {
"account_number" : 0,
"balance" : 16623,
"firstname" : "Bradshaw",
"lastname" : "Mckenzie",
"age" : 29,
"gender" : "F",
"address" : "244 Columbus Place",
"employer" : "Euron",
"email" : "bradshawmckenzie@euron.com",
"city" : "Hobucken",
"state" : "CO"
},
"sort" : [
0
]
},
# 省略其余结果
]
}
}
结果说明
- took Elasticsearch 运行查询花费时间，以毫秒为单位
- time_out 请求是否超时（在请求的时候可以设定）
- _shards 搜索了多少分片，以及成功、失败或是跳过了多少（这里涉及到分布式部署）
- max_source 找到的最相关文档的分数
- hits.total.value 找到了多少匹配的文档
- hits.sort 文档的排序位置（不按照默认的相关性得分排序，在搜索时指定排序字段）
- hits._source 文档的相关性得分
match查询（字段的类型，会有差异，后续文章中会详述）
匹配字段包含某个单词。address字段包含mail或lane
curl -X GET "localhost:9200/bank/_search?pretty" -H 'Content-Type: application/json' -d'
{
"query": { "match": { "address": "mill lane" } }
}'
match_phrase查询
词组搜索，某字段包含某个短语。address字段包含mill lane这个词组
curl -X GET "localhost:9200/bank/_search?pretty" -H 'Content-Type: application/json' -d'
{
"query": { "match_phrase": { "address": "mill lane" } }
}
'
利用bool查询组合多个查询条件
命令解释：age = 40 && state != "ID"
curl -X GET "localhost:9200/bank/_search?pretty" -H 'Content-Type: application/json' -d'
{
"query": {
"bool": {
"must": [
{ "match": { "age": "40" } }
],
"must_not": [
{ "match": { "state": "ID" } }
]
}
}
}
'
必须指定某个查询条件的匹配程度（类似于与或非）
- must：结果必须满足查询条件。会影响相关性得分
- should：结果应该满足查询条件，但可以不满足。会影响相关性得分
- mast_not：结果必须不满足查询条件。不会影响相关性得分
转载：https://blog.csdn.net/wei_bo_cai/article/details/106219745
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