Elasticsearch修改分词器以及自定义分词器

1、默认的分词器

standard

standard tokenizer：以单词边界进行切分
standard token filter：什么都不做
lowercase token filter：将所有字母转换为小写
stop token filer（默认被禁用）：移除停用词，比如a the it等等

2、修改分词器的设置

启用english停用词token filter

PUT /my_index
{
“settings”: {
“analysis”: {
“analyzer”: {
“es_std”: {
“type”: “standard”,
“stopwords”: “english”
}
}
}
}
}

GET /my_index/_analyze
{
“analyzer”: “standard”,
“text”: “a dog is in the house”
}

GET /my_index/_analyze
{
“analyzer”: “es_std”,
“text”:“a dog is in the house”
}

3、定制化自己的分词器

PUT /my_index
{
“settings”: {
“analysis”: {
“char_filter”: {
“&_to_and”: {
“type”: “mapping”,
“mappings”: ["&=> and"]
}
},
“filter”: {
“my_stopwords”: {
“type”: “stop”,
“stopwords”: [“the”, “a”]
}
},
“analyzer”: {
“my_analyzer”: {
“type”: “custom”,
“char_filter”: [“html_strip”, “&_to_and”],
“tokenizer”: “standard”,
“filter”: [“lowercase”, “my_stopwords”]
}
}
}
}
}


测试：
GET /my_index/_analyze
{
“text”: “tom&jerry are a friend in the house, , HAHA!!”,
“analyzer”: “my_analyzer”
}

在自己的type里要用到自己自定义的分词器下面语法
PUT /my_index/_mapping/my_type
{
“properties”: {
“content”: {
“type”: “text”,
“analyzer”: “my_analyzer”
}
}
}