定义
- 语主相近或相同
- 品牌类目关联
- 搜索它等于搜索它
配置方法
1. 进入ES第一个节点：cd node1/config/analysis-ik
添加近义词echo '凯悦,锡伯,红桃' > vim synonyms.txt
2. 将配置得制到节点2与节点3
cp synonyms.txt /opt/elasticsearch8.0.0/node2/config/analysis-ik/
cp synonyms.txt /opt/elasticsearch8.0.0/node3/config/analysis-ik/3. 修改结构（定义支持同义词的门店索引结构）
要点：
增加analysis，处定义分词器
修改name的分词器
DELETE /shopPUT /shop
{"settings": {"number_of_shards": 1, "number_of_replicas": 1,"analysis": {"filter": {"my_synonym_filter": {"type": "synonym","synonyms_path": "analysis-ik/synonyms.txt"}},"analyzer": {"ik_syno":{"type":"custom","tokenizer":"ik_smart","filter":["my_synonym_filter"]},"ik_syno_max":{"type":"custom","tokenizer":"ik_max_word","filter":["my_synonym_filter"]}}}},"mappings": {"properties": {"id":{"type":"integer"},"name":{"type":"text","analyzer": "ik_syno_word","search_analyzer": "ik_syno"},"tags":{"type":"text","analyzer": "whitespace","fielddata": true}, "location":{"type":"geo_point"},"remark_score":{"type":"double"},"price_per_man": {"type":"integer"},"category_id":{"type":"integer"},"category_name":{"type": "keyword"},"seller_id":{"type":"integer"},"seller_remark_score":{"type":"double"},"seller_disabled_flag":{"type":"integer"}}}
}4. 验证同义词是否载入
GET /shop/_analyze
{"field":"name","text":"凯悦"
}如输出信息如下，则代表配置成功
{"tokens" : [{"token" : "凯悦","start_offset" : 0,"end_offset" : 2,"type" : "CN_WORD","position" : 0},{"token" : "锡伯","start_offset" : 0,"end_offset" : 2,"type" : "SYNONYM","position" : 0},{"token" : "红桃","start_offset" : 0,"end_offset" : 2,"type" : "SYNONYM","position" : 0}]
}5. 其他
1). 重建索引
如果结构之前就存在，要让同义词起作用，需要先删除原索引再重建结构（如上）
如果是新索引，则不需要行该步骤 .
2). 在Kibana上验证
以下会查询相同的内容
GET /shop/_search
{"query": {"match": {"name": "锡伯"}}
}GET /shop/_search
{"query": {"match": {"name": "凯悦"}}
}GET /shop/_search
{"query": {"match": {"name": "红桃"}}
}
)
