我正在研究基于NodeJs的API，它是用Elasticsearch和NodeJs构建的。
我必须提供一种功能，使API用户可以根据分类法条款排除某些内容。
自由格式:多值字段-类型:字符串
游戏:多值字段-类型:字符串
播放器:多值字段-类型:字符串
小组:多值字段-类型:字符串
writer:多值字段-类型:字符串
channel :多值字段-类型:字符串
API网址的格式类似于以下内容。
https://api.test.net/2/xxxxx/article/?exclude=term1+term2
上面应该返回未标记到term1和term2的内容。
假设我们有3篇文章，第一篇文章标记为term1，第二篇文章标记为term2，第三篇文章标记为term1和term2。
预期结果:
https://api.test.net/2/xxxxx/article/?exclude=term1+term2应该返回第一条(标记为term1)，第二条(标记为term2)而不是第三条(标记为term1和term2)
实际结果:
有时https://api.test.net/2/xxxxx/article/?exclude=term1+term2返回所有三篇文章，有时返回第一篇(标记为term1)和第二篇文章(标记为term2)。
更新:
以下是正确的文档，我也添加了查询，但仍然看到不一致。
文件:
{
"team":{
"mappings":{
"article":{
"properties":{
"body":{
"properties":{
"content":{
"type":"string"
},
"html":{
"type":"string"
},
"type":{
"type":"string"
}
}
},
"brand":{
"type":"string"
},
"changed":{
"type":"date",
"format":"dateOptionalTime"
},
"changedUtc":{
"type":"long"
},
"content":{
"type":"string"
},
"created":{
"type":"date",
"format":"dateOptionalTime"
},
"createdUtc":{
"type":"long"
},
"domain":{
"type":"string"
},
"headline":{
"type":"string"
},
"langcode":{
"type":"string",
"index":"not_analyzed"
},
"nid":{
"type":"string"
},
"published":{
"type":"date",
"format":"dateOptionalTime"
},
"publishedUtc":{
"type":"long"
},
"raw":{
"type":"string",
"index":"no"
},
"revisionTimestamp":{
"type":"date",
"format":"dateOptionalTime"
},
"revisionTimestampUtc":{
"type":"long"
},
"status":{
"type":"string"
},
"subheadline":{
"type":"string"
},
"syndication":{
"properties":{
"brand":{
"type":"string"
},
"options":{
"properties":{
"actionFrom":{
"type":"string"
},
"publish":{
"type":"string"
},
"status":{
"type":"string"
}
}
},
"type":{
"type":"string"
}
}
},
"taxonomy":{
"properties":{
"coaches":{
"properties":{
"value":{
"type":"string"
}
}
},
"freeform":{
"properties":{
"value":{
"type":"string"
}
}
},
"games":{
"properties":{
"id":{
"type":"string"
},
"value":{
"type":"string"
}
}
},
"players":{
"properties":{
"id":{
"type":"string"
},
"value":{
"type":"string"
}
}
},
"section":{
"properties":{
"value":{
"type":"string"
}
}
},
"teams":{
"properties":{
"city":{
"type":"string"
},
"id":{
"type":"string"
},
"nickname":{
"type":"string"
},
"tricode":{
"type":"string"
},
"urlName":{
"type":"string"
},
"value":{
"type":"string"
}
}
},
"writer":{
"properties":{
"emailAddress":{
"type":"string"
},
"id":{
"type":"string"
},
"responsive_web":{
"type":"string"
},
"title":{
"type":"string"
},
"value":{
"type":"string"
}
}
}
}
},
"teaser":{
"type":"string"
},
"title":{
"type":"string"
},
"type":{
"type":"string"
},
"url":{
"type":"string",
"index":"not_analyzed"
},
"uuid":{
"type":"string",
"index":"not_analyzed"
},
"vid":{
"type":"string"
}
}
}
}
}
}
查询:
{
"filter":{
"bool":{
"should":[
[
{
"term":{
"status":1
}
}
]
],
"must":[
]
}
},
"from":0,
"size":10,
"_source":{
"include":[
"uuid",
"nid",
"type",
"title",
"headline",
"shortHeadline",
"teaser",
"url",
"published",
"changed",
"subheadline",
"listImage",
"brand",
"videoId",
"videoSource",
"duration",
"taxonomy",
"includeTerms",
"excludeTerms",
"media",
"credit",
"caption",
"description",
"videoCaptions",
"franchiseId",
"showAirTime",
"slateImage",
"mainImage",
"thumbnailImage",
"showTitle",
"status",
"pubstatus"
]
},
"query":{
"bool":{
"must":[
{
"query_string":{
"query":"langcode:\"en\""
}
},
{
"bool":{
"must_not":{
"query_string":{
"query":"(taxonomy.freeform.value:\"sociosqu\" AND taxonomy.freeform.value:\"nullam\") OR (taxonomy.games.id:\"sociosqu\" AND taxonomy.games.id:\"nullam\") OR (taxonomy.players.id:\"sociosqu\" AND taxonomy.players.id:\"nullam\") OR (taxonomy.teams.id:\"sociosqu\" AND taxonomy.teams.id:\"nullam\") OR (taxonomy.writer.value:\"sociosqu\" AND taxonomy.writer.value:\"nullam\") OR (taxonomy.channels.value:\"sociosqu\" AND taxonomy.channels.value:\"nullam\") OR (taxonomy.section.value:\"sociosqu\" AND taxonomy.section.value:\"nullam\") "
}
}
}
}
]
}
},
"sort":[
{
"publishedUtc":{
"order":"desc"
}
},
{
"_score":{
"order":"desc"
}
}
]
}
最佳答案
我假设您具有与此类似的映射:
{
"mappings": {
"_doc": {
"properties": {
"taxonomy": {
"properties": {
"game": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"team": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
}
}
}
}
}
所需的查询将是:
{
"query": {
"bool": {
"filter": [
{
"query_string": {
"query": "(t1 OR t2) NOT (t1 AND t2)",
"fields": [
"taxonomy.game.keyword",
"taxonomy.team.keyword"
]
}
}
]
}
}
}
根据您提供的文档，字段列表将为:
"fields":[
"taxonomy.teams.id",
"taxonomy.freeform.value",
"taxonomy.games.id",
"taxonomy.players.id",
"taxonomy.writer.value",
"taxonomy.coaches.value"
]
请注意，我假设
id，value是keyword类型。如果不是，请更改映射。同样，如果映射是动态创建的，那么keyword，id下将有一个子字段名称value，其方式类似于我使用的示例映射，该映射在keyword和game下具有team字段。以上适用于Elasticsearch 6.x
基于已添加到问题的查询的更新:
您查询中的
must_not部分在逻辑上应为:(f1=t1 AND f1=t2) OR (f2=t1 AND f2=t2) OR (f3=t1 AND f3=t2) ....
其中 f i代表字段，而 t i代表术语。
因此，
must_not部分应为:{
"must_not": {
"query_string": {
"query": "(taxonomy.freeform.value:\"sociosqu\" AND taxonomy.freeform.value:\"nullam\") OR (taxonomy.games.id:\"sociosqu\" AND taxonomy.games.id:\"nullam\") OR (taxonomy.players.id:\"sociosqu\" AND taxonomy.players.id:\"nullam\") OR (taxonomy.teams.id:\"sociosqu\" AND taxonomy.teams.id:\"nullam\") OR (taxonomy.writer.value:\"sociosqu\" AND taxonomy.writer.value:\"nullam\") OR (taxonomy.channels.value:\"sociosqu\" AND taxonomy.channels.value:\"nullam\") OR (taxonomy.section.value:\"sociosqu\" AND taxonomy.section.value:\"nullam\") "
}
}
}
关于elasticsearch - Elasticsearch具有多个must_not条件的行为不一致，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/53528609/