【发布时间】：2020-06-21 09:31:24
【问题描述】：
我正在使用 ES 1.7，尝试使用 match_phrase 查找文档以使用完全匹配字符串进行搜索。过滤器单独使用时效果很好，但是当我组合过滤器时，我得到一个错误。
示例：人员文档
q=aaron&address=scarborough - 按姓名和地址搜索人，工作正常。
{
"query": {
"match_phrase": {
"name": "aaron"
}
},
"filter": {
"bool": {
"must": {
"nested": {
"path": "addresses",
"query": {
"match_phrase": {
"address": "scarborough"
}
}
}
}
}
},
q=aaron&phone=813-689-6889 - 按姓名和电话号码搜索人也可以。
{
"query": {
"match_phrase": {
"name": "aaron"
}
},
"filter": {
"bool": {
"must": {
"query": {
"match_phrase": {
"phone": "813-689-6889"
}
}
}
}
}
但是，当我尝试同时使用过滤器、地址和电话时，我收到 No filter registered for [match_phrase] 错误
例如：q=aaron&address=scarborough&phone=813-689-6889
{
"query": {
"match_phrase": {
"name": "aaron"
}
},
"filter": {
"bool": {
"must": {
"nested": {
"path": "addresses",
"query": {
"match_phrase": {
"address": "scarborough"
}
}
},
"query": {
"match_phrase": {
"phone": "813-689-6889"
}
}
}
}
}
同时使用address 和phone 过滤器时的错误：
nested: QueryParsingException[[pl_people] No filter registered for [match_phrase]]; }]","status":400}):
索引映射（人）：
{
"pl_people": {
"mappings": {
"person": {
"properties": {
"ac_name": {
"type": "string",
"analyzer": "autocomplete"
},
"addresses": {
"type": "nested",
"properties": {
"address": {
"type": "string"
},
"city": {
"type": "string",
"index": "not_analyzed"
},
"city_id": {
"type": "long"
},
"country": {
"type": "string",
"index": "not_analyzed"
},
"county": {
"type": "string",
"index": "not_analyzed"
},
"county_id": {
"type": "long"
},
"id": {
"type": "long"
},
"location": {
"type": "geo_point"
},
"parameterized": {
"type": "string"
},
"state": {
"type": "string",
"index": "not_analyzed"
},
"state_id": {
"type": "long"
},
"zip": {
"type": "string",
"index": "not_analyzed"
}
}
},
"author": {
"type": "string",
"index": "not_analyzed"
},
"body": {
"type": "string",
"analyzer": "remove_html",
"fields": {
"ns_body": {
"type": "string",
"analyzer": "remove_html_stopwords"
}
}
},
"charities": {
"type": "nested",
"properties": {
"email": {
"type": "string",
"index": "not_analyzed"
},
"id": {
"type": "long"
}
}
},
"community": {
"properties": {
"name": {
"type": "string",
"index": "not_analyzed"
},
"parameterized": {
"type": "string",
"index": "not_analyzed"
},
"slug": {
"type": "string",
"index": "not_analyzed"
}
}
},
"created_at": {
"type": "date",
"format": "dateOptionalTime"
},
"date_of_birth": {
"type": "date",
"format": "dateOptionalTime"
},
"delimiters": {
"type": "nested",
"properties": {
"delimiter_type": {
"type": "string",
"index": "not_analyzed"
},
"id": {
"type": "long"
}
}
},
"description": {
"type": "string"
},
"employments": {
"type": "nested",
"properties": {
"email": {
"type": "string",
"index": "not_analyzed"
},
"employment_status": {
"type": "string",
"index": "not_analyzed"
},
"foia_contact": {
"type": "boolean"
},
"id": {
"type": "long"
},
"phone": {
"type": "string",
"index": "not_analyzed"
},
"phone_extension": {
"type": "string",
"index": "not_analyzed"
}
}
},
"first_name": {
"type": "string",
"fields": {
"na_first_name": {
"type": "string",
"index": "not_analyzed"
}
}
},
"last_name": {
"type": "string",
"fields": {
"na_last_name": {
"type": "string",
"index": "not_analyzed"
}
}
},
"market": {
"properties": {
"name": {
"type": "string",
"index": "not_analyzed"
},
"parameterized": {
"type": "string",
"index": "not_analyzed"
},
"slug": {
"type": "string",
"index": "not_analyzed"
}
}
},
"middle_name": {
"type": "string",
"fields": {
"na_middle_name": {
"type": "string",
"index": "not_analyzed"
}
}
},
"most_recent_organization": {
"properties": {
"description": {
"type": "string"
},
"id": {
"type": "long"
},
"name": {
"type": "string"
},
"parameterized": {
"type": "string"
},
"phone": {
"type": "string"
}
}
},
"name": {
"type": "string",
"fields": {
"na_name": {
"type": "string",
"index": "not_analyzed"
},
"ngram_name": {
"type": "string",
"analyzer": "my_start"
},
"ns_name": {
"type": "string",
"analyzer": "no_stopwords"
}
}
},
"organizations": {
"properties": {
"name": {
"type": "string"
},
"parameterized": {
"type": "string",
"index": "not_analyzed"
}
}
},
"package": {
"properties": {
"name": {
"type": "string",
"index": "not_analyzed"
},
"parameterized": {
"type": "string",
"index": "not_analyzed"
},
"slug": {
"type": "string",
"index": "not_analyzed"
}
}
},
"parameterized": {
"type": "string",
"index": "not_analyzed"
},
"phone": {
"type": "string"
},
"photo": {
"properties": {
"large": {
"type": "string"
},
"medium": {
"type": "string"
},
"teaser": {
"type": "string"
},
"thumb": {
"type": "string"
},
"url": {
"type": "string"
}
}
},
"projects": {
"properties": {
"id": {
"type": "long"
},
"name": {
"type": "string",
"index": "not_analyzed"
},
"parameterized": {
"type": "string",
"index": "not_analyzed"
},
"slug": {
"type": "string",
"index": "not_analyzed"
}
}
},
"public_offices": {
"type": "nested",
"properties": {
"email": {
"type": "string",
"index": "not_analyzed"
},
"employment_status": {
"type": "string",
"index": "not_analyzed"
},
"id": {
"type": "long"
}
}
},
"published": {
"type": "string",
"index": "not_analyzed"
},
"region": {
"properties": {
"name": {
"type": "string",
"index": "not_analyzed"
},
"parameterized": {
"type": "string",
"index": "not_analyzed"
},
"slug": {
"type": "string",
"index": "not_analyzed"
}
}
},
"resource": {
"type": "string"
},
"short_description": {
"type": "string"
},
"show_path": {
"type": "string"
},
"time": {
"type": "date",
"format": "dateOptionalTime"
},
"updated_at": {
"type": "date",
"format": "dateOptionalTime"
}
}
}
}
}
}
我用来测试的文档
[
{
"_index": "pl_people",
"_type": "person",
"_id": "813106",
"_score": null,
"sort": [
-9223372036854775808
],
"resource": "Person",
"parameterized": "813106-aaron-mcguire",
"created_at": "2011-10-29T19:51:24.000-05:00",
"updated_at": "2014-12-11T07:21:08.000-06:00",
"name": "Aaron McGuire",
"title": null,
"photo": {
"url": "/assets/140x140.gif"
},
"description": null,
"short_description": null,
"time": "2014-12-11",
"show_path": "/people/813106-aaron-mcguire",
"published": true,
"aliases": [],
"phone": "813-689-6889",
"date_of_birth": "1991-03-01",
"first_name": "Aaron",
"middle_name": "",
"last_name": "McGuire",
"delimiters": [],
"market": null,
"region": null,
"most_recent_organization": null,
"households": [],
"court_cases": [],
"addresses": [
{
"id": 1,
"parameterized": "1",
"address": "123 Scarborough road",
"zip": "L5A2A9",
"city": "Ontario",
"country": "USA",
"state": "California",
"location": null,
"state_id": null,
"county_id": null,
"city_id": null
}
],
"projects": [],
"voter_ids": [],
"id": "813106"
}
]
【问题讨论】：
-
您能否发布相同的文档，我可以使用这些文档来重现您的问题？您的映射也不完整，您是否也可以提供您的设置，在您的映射中，您使用了
autocomplete、no_stopwords、my_start自定义分析器，在您的示例中使用了查询address字段，这不是出现在您的映射中。 -
@OpsterElasticsearchNinja，好的，更新了问题。抱歉，我尝试稍微清理一下映射，以便问题更短
-
我使用您的映射创建了索引并为示例文档编制了索引，但即使使用 1 个过滤器
nested: QueryParsingException[[so-match-phrase] [nested] nested object under path [addresses] is not of nested type]也会出现异常 -
那很奇怪，我自己使用地址或电话过滤器时没有问题，只有将两者结合时才会出现问题，同样在映射上，地址被列为嵌套。
-
在错误和查询部分花费了相当长的时间后，终于能够使其工作，如果您有其他问题，请看看，让我知道。