我使用弹性搜索来索引我的文档，并希望根据特定属性过滤文档。这是我的代码：
filter.push({
range: {"audience.ethnicity.asian" : { gt: 50 } }
})
它不能与gt运算符一起使用（发回不一致的结果）但与lt运算符一起使用
filter.push({
range: {"audience.ethnicity.asian" : { lt: 50 } }
})
这令人惊讶。我已经仔细检查过属性值是一个整数。我尝试了很多不同的方法，但似乎无法弄清楚我错过了什么。 映射：
"audience": {
"properties": {
"age": {
"properties": {
"13-17": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"18-24": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"25-34": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"35-44": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"45-64": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"eighteen": {
"type": "long"
},
"fortyfive": {
"type": "long"
},
"thirteen": {
"type": "long"
},
"thirtyfive": {
"type": "long"
},
"twentyfive": {
"type": "long"
}
}
},
"ages": {
"properties": {
"13-17": {
"type": "float"
},
"18-24": {
"type": "float"
},
"25-34": {
"type": "float"
},
"35-44": {
"type": "float"
},
"45-64": {
"type": "float"
}
}
},
"ethnicity": {
"properties": {
"African American": {
"type": "float"
},
"Asian": {
"type": "float"
},
"Hispanic": {
"type": "float"
},
"White / Caucasian": {
"type": "float"
},
"african": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"asian": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"hispanic": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"white": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
},
"gender": {
"properties": {
"female": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"male": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
},
"genders": {
"properties": {
"FEMALE": {
"type": "float"
},
"MALE": {
"type": "float"
}
}
},
"gendersPerAge": {
"properties": {
"13-17": {
"properties": {
"FEMALE": {
"type": "float"
},
"MALE": {
"type": "float"
}
}
},
"18-24": {
"properties": {
"FEMALE": {
"type": "float"
},
"MALE": {
"type": "float"
}
}
},
"25-34": {
"properties": {
"FEMALE": {
"type": "float"
},
"MALE": {
"type": "float"
}
}
},
"35-44": {
"properties": {
"FEMALE": {
"type": "float"
},
"MALE": {
"type": "float"
}
}
},
"45-64": {
"properties": {
"FEMALE": {
"type": "float"
},
"MALE": {
"type": "float"
}
}
}
}
}
}
} "audience": {
"properties": {
"age": {
"properties": {
"13-17": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"18-24": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"25-34": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"35-44": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"45-64": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"eighteen": {
"type": "long"
},
"fortyfive": {
"type": "long"
},
"thirteen": {
"type": "long"
},
"thirtyfive": {
"type": "long"
},
"twentyfive": {
"type": "long"
}
}
},
"ages": {
"properties": {
"13-17": {
"type": "float"
},
"18-24": {
"type": "float"
},
"25-34": {
"type": "float"
},
"35-44": {
"type": "float"
},
"45-64": {
"type": "float"
}
}
},
"ethnicity": {
"properties": {
"African American": {
"type": "float"
},
"Asian": {
"type": "float"
},
"Hispanic": {
"type": "float"
},
"White / Caucasian": {
"type": "float"
},
"african": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"asian": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"hispanic": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"white": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
},
"gender": {
"properties": {
"female": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"male": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
},
"genders": {
"properties": {
"FEMALE": {
"type": "float"
},
"MALE": {
"type": "float"
}
}
},
"gendersPerAge": {
"properties": {
"13-17": {
"properties": {
"FEMALE": {
"type": "float"
},
"MALE": {
"type": "float"
}
}
},
"18-24": {
"properties": {
"FEMALE": {
"type": "float"
},
"MALE": {
"type": "float"
}
}
},
"25-34": {
"properties": {
"FEMALE": {
"type": "float"
},
"MALE": {
"type": "float"
}
}
},
"35-44": {
"properties": {
"FEMALE": {
"type": "float"
},
"MALE": {
"type": "float"
}
}
},
"45-64": {
"properties": {
"FEMALE": {
"type": "float"
},
"MALE": {
"type": "float"
}
}
}
}
}
}
}
答案 0 :(得分：1)
在您的映射中，audience.ethnicity.asian字段属于文本类型，因此范围查询正在执行词法范围比较，而不是数值范围比较。
数值上，123＆gt; 50，但词汇123＆lt; 50因为ASCII字符1在5之前出现，这正是你在这里遇到的问题。
我不确定你是否可以使用audience.ethnicity.Asian字段，这是一个浮点数。如果没有，则需要将audience.ethnicity.asian的映射更改为数字类型（integer，float等）并重新索引数据。