拼音，ik分词
https://www.cnblogs.com/dashuaiguo/p/10014978.html
https://blog.csdn.net/shi_yi_fei/article/details/85266449
elasticsearch 通过设置模板自定义一些初始化的数据，比如副本，分词
https://www.elastic.co/guide/en/elasticsearch/reference/7.0/indices-templates.html
设置默认的分片和副本
curl -XPUT 'http://10.xx.xx.xx:9200/_template/template_http_request_record' -H 'Content-Type: application/json' -d
{
"index_patterns": [
"*"
],
"settings": {
"number_of_shards": 5,
"number_of_replicas": 1
}
}
允许设置type名称(不建议)
curl -XPUT http://10.xx.xx.xx:9200/course5/?include_type_name=true
#####################
设置索引副本，分片，指定分词器
PUT book_v5
{
"settings":{
"number_of_shards": "6",
"number_of_replicas": "1",
"analysis":{
"analyzer":{
"ik":{
"tokenizer":"ik_max_word"
}
}
}
},
"mappings":{
"properties":{
"author":{
"type":"text"
},
"wordCount":{
"type":"integer"
},
"publishDate":{
"type":"date",
"format":"yyyy-MM-dd HH:mm:ss || yyyy-MM-dd"
},
"briefIntroduction":{
"type":"text"
},
"bookName":{
"type":"text"
}
}
}
}
在建了索引的 时候指定
PUT test
{
"settings" : {
"number_of_shards" : 1
},
"mappings" : {
"type1" : {
"properties" : {
"field1" : { "type" : "text" }
}
}
}
}
查询分词效果：
GET /_analyze
{
"text":"中华人民共和国国徽",
"analyzer":"ik_smart"
}