使用match_phrase组合过滤器-Elastic 1.7 [英] combine filters using match_phrase - Elastic 1.7
本文介绍了使用match_phrase组合过滤器-Elastic 1.7的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
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的字符串进行搜索.单独使用时，过滤器可以正常工作，但是当我组合使用过滤器时，会出现错误.
Im using ES 1.7, trying to look for documents using match_phrase to search using exact match string. The filter works fine when used alone, however when I combine the filters, I get an error.
示例:人员文档
q=aaron&address=scarborough-通过姓名和地址搜索人员，效果很好.
example: people document
q=aaron&address=scarborough - searching a person by name and address, works fine.
{
"query": {
"match_phrase": {
"name": "aaron"
}
},
"filter": {
"bool": {
"must": {
"nested": {
"path": "addresses",
"query": {
"match_phrase": {
"address": "scarborough"
}
}
}
}
}
},
q=aaron&phone=813-689-6889-通过姓名和电话号码搜索人也可以正常工作.
q=aaron&phone=813-689-6889 - searching a person by name and phone number works fine as well.
{
"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，出现No filter registered for [match_phrase]错误
However, When I try to use both filters, address and phone I get a No filter registered for [match_phrase] error
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:
the error, when using address and phone filters together:
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"
}
}
}
}
}
}
我要测试的文档
[
{
"_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"
}
]
推荐答案
最后，我能够重现该问题，看起来像"include_in_parent": true,在您的映射中丢失了，由于我遇到了我的评论..
Finally, I was able to reproduce the issue, Looks like "include_in_parent": true, missed in your mapping, due to which I was getting the error mentioned In my comment..
为解决此问题，我使用了相同的映射为您提供，但在address嵌套字段的顶层添加了"include_in_parent": true,.为简洁起见，仅提供修改后映射的address部分.
To fix, the issue I used the same mapping provided you but add "include_in_parent": true, at the top level of address nested field. For brevity providing only the address part of modified mapping.
"addresses": {
"type": "nested",
"include_in_parent": true, --> added only this in your mapping.
"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"
}
}
}
在此之后，对一些示例文档建立了索引，这些文档的address和name参数值不同，以验证我的搜索查询的正确结果.
After that indexed some sample docs, which have different values of address and name param, to verify the right outcome of my search query.
以及同时包含过滤器的最终搜索查询，请注意，由于父文档中包含了地址字段中的嵌套部分，因此您可以直接在其上进行查询.看起来很简单，现在给出了预期的结果.
And final search query which includes both the filter, please note, I removed the nested part on address field as it's included at the parent document, so you can directly query now on it. This query looks much simple and now gives the expected result.
{
"query": {
"match_phrase": {
"name": "aaron"
}
},
"filter": {
"bool": {
"must": [{
"query": {
"match_phrase": {
"address": "scarborough"
}
}
},
{
"query": {
"match_phrase": {
"phone": "813-689-6889"
}
}
}]
}
}
}
示例文档的输出
"hits": [
{
"_index": "so-match-phrase",
"_type": "pl_people",
"_id": "4",
"_score": 0.19178301,
"_source": {
"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": "Scarborough road",
"zip": "L5A2A9",
"city": "Ontario",
"country": "USA",
"state": "California",
"location": null,
"state_id": null,
"county_id": null,
"city_id": null
}
],
"id": "813106"
}
},
{
"_index": "so-match-phrase",
"_type": "pl_people",
"_id": "1",
"_score": 0.19178301,
"_source": {
"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
}
],
"id": "813106"
}
}
]
这篇关于使用match_phrase组合过滤器-Elastic 1.7的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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