我对ElasticSearch映射有问题。
例如，字段name的映射为：
{
"name": {
"type": "keyword",
"fields": {
"ngram": {
"type": "text",
"analyzer": "ngram_analyzer",
"search_analyzer": "ngram_analyzer"
},
"word": {
"type": "text",
"analyzer": "word_analyzer",
"search_analyzer": "word_analyzer"
}
}
}
}
除了search_analyzer之外，整个映射都起作用，{
"analysis":{
"analyzer":{
"ngram_analyzer":{
"type":"custom",
"char_filter":[
"number_char_filter_map",
"remove_duplicates"
],
"tokenizer":"ngram_tokenizer_whitespace",
"filter":[
"lowercase",
"english_stop"
]
},
"word_analyzer":{
"type":"custom",
"char_filter":[
"number_char_filter_map",
"remove_duplicates"
],
"tokenizer":"word_tokenizer",
"filter":[
"lowercase",
"english_stop"
]
}
},
"char_filter":{
"remove_duplicates":{
"type":"pattern_replace",
"pattern":"(.)(?=\\1)",
"replacement":""
},
"remove_white_spaces":{
"type":"pattern_replace",
"pattern":"(\s)",
"replacement":""
}
},
"filter":{
"english_stop":{
"type":"stop",
"ignore_case":true,
"stopwords":"_english_"
}
},
"tokenizer":{
"ngram_tokenizer":{
"type":"ngram",
"min_gram":2,
"max_gram":7
},
"ngram_tokenizer_whitespace":{
"type":"ngram",
"min_gram":2,
"max_gram":7,
"token_chars":[
"letter",
"digit",
"punctuation",
"symbol"
]
},
"word_tokenizer":{
"type":"standard"
}
}
}
}
似乎被ElasticSearch忽略了。
分析设置：
search_analyzer根据ElasticSearch文档，我在字段中没有找到text-align:center的任何定义。如果此方法不起作用，是否还有其他结构可以包括搜索分析器？
答案 0 :(得分：0)
几天后问题解决了...
问题是使用与search_analyzer相同的分析器。我只是在设置中设置了另一个名称不同的分析器（使用与分析器相同的键，而search_analyzer似乎会引起问题，并忽略search_analyzer）。
将ngram_analyzer克隆到ngram_search_analyzer
将word_analyzer克隆到word_search_analyzer
以及创建映射请求：
PUT /suggestions HTTP/1.1
Host: localhost:9200
Content-Type: application/json
{
"mappings":{
"doc":{
"properties":{
"caption":{
"type":"keyword",
"fields":{
"ngram":{
"type":"text",
"analyzer":"ngram_analyzer",
"search_analyzer":"ngram_search_analyzer"
},
"word":{
"type":"text",
"analyzer":"word_analyzer",
"search_analyzer":"word_search_analyzer"
}
}
}
}
}
},
"settings":{
"number_of_shards":1,
"number_of_replicas":1,
"routing_partition_size":1,
"analysis":{
"analyzer":{
"ngram_analyzer":{
"type":"custom",
"char_filter":[
"number_char_filter_map",
"remove_duplicates"
],
"tokenizer":"ngram_tokenizer_whitespace",
"filter":[
"lowercase",
"english_stop"
]
},
"ngram_search_analyzer":{
"type":"custom",
"char_filter":[
"number_char_filter_map",
"remove_duplicates"
],
"tokenizer":"ngram_tokenizer_whitespace",
"filter":[
"lowercase",
"english_stop"
]
},
"word_analyzer":{
"type":"custom",
"char_filter":[
"number_char_filter_map",
"remove_duplicates"
],
"tokenizer":"word_tokenizer",
"filter":[
"lowercase",
"english_stop"
]
},
"word_search_analyzer":{
"type":"custom",
"char_filter":[
"number_char_filter_map",
"remove_duplicates"
],
"tokenizer":"word_tokenizer",
"filter":[
"lowercase",
"english_stop"
]
}
},
"char_filter":{
"number_char_filter_map":{
"type":"mapping",
"mappings":[
"\u0660 => 0",
"\u0661 => 1",
"\u0662 => 2",
"\u0663 => 3",
"\u0664 => 4",
"\u0665 => 5",
"\u0666 => 6",
"\u0667 => 7",
"\u0668 => 8",
"\u0669 => 9",
"\u06f0 => 0",
"\u06f1 => 1",
"\u06f2 => 2",
"\u06f3 => 3",
"\u06f4 => 4",
"\u06f5 => 5",
"\u06f6 => 6",
"\u06f7 => 7",
"\u06f8 => 8",
"\u06f9 => 9"
]
},
"remove_duplicates":{
"type":"pattern_replace",
"pattern":"(.)(?=\\1)",
"replacement":""
},
"remove_white_spaces":{
"type":"pattern_replace",
"pattern":"(\\s)",
"replacement":""
}
},
"filter":{
"english_stop":{
"type":"stop",
"ignore_case":true,
"stopwords":"_english_"
}
},
"tokenizer":{
"ngram_tokenizer":{
"type":"ngram",
"min_gram":2,
"max_gram":7
},
"ngram_tokenizer_whitespace":{
"type":"ngram",
"min_gram":2,
"max_gram":7,
"token_chars":[
"letter",
"digit",
"punctuation",
"symbol"
]
},
"word_tokenizer":{
"type":"standard",
"token_chars":[
]
}
}
}
}
}
现在我在映射中看到搜索分析器：]
我认为拥有不同的分析器和搜索分析器以用于以后的自定义也是一件好事。