您的描述含糊不清，但我尝试制作一个可运行的示例，该示例应在此处运行：https ://www.found.no/play/gist/8940202（也嵌入在下面）
这是我做的几件事：
将过滤器放入filtered-query中。仅当您要过滤匹配时才使用顶层filter（post_filter在Elasticsearch 1.0中重命名），而不要过滤方面。
使用bool代替and和or，因为过滤器是可缓存的。此处更多信息：http : @L_502_4@//www.elasticsearch.org/blog/all-about-elasticsearch-filter-bitsets/
而最重要的，把nested 里面 的bool，所以逻辑得到正确的WRT。嵌套文档与父文档应该匹配什么。
must_not为您的最后一点添加了一个帐户。不知道您是否可以拥有两个名为name的子文档"Connectivity"，但是如果可以的话，应该可以解决这个问题。如果您只有一个，可以删除must_not。
您没有提供任何示例文档，所以我提出了一些我认为适合您的描述的文档。我认为您不需要两个级别的嵌套。
#!/bin/bash
export ELASTICSEARCH_ENDPOINT="http://localhost:9200"
# Create indexes
curl -XPUT "$ELASTICSEARCH_ENDPOINT/play" -d '{
"mappings": {
"type": {
"properties": {
"kol_tags": {
"properties": {
"scored": {
"type": "nested",
"properties": {
"name": {
"type": "string",
"index": "not_analyzed"
}
}
}
}
}
}
}
}
}'
# Index documents
curl -XPOST "$ELASTICSEARCH_ENDPOINT/_bulk?refresh=true" -d '
{"index":{"_index":"play","_type":"type"}}
{"kol_tags":{"scored":[{"name":"Core Grower","score":36},{"name":"Connectivity","score":42}]}}
{"index":{"_index":"play","_type":"type"}}
{"kol_tags":{"scored":[{"name":"Connectivity","score":34},{"name":"Connectivity","score":42}]}}
{"index":{"_index":"play","_type":"type"}}
{"kol_tags":{"scored":[{"name":"Core Grower","score":36}]}}
{"index":{"_index":"play","_type":"type"}}
{"kol_tags":{"scored":[{"name":"Connectivity","score":36}]}}
'
# Do searches
curl -XPOST "$ELASTICSEARCH_ENDPOINT/_search?pretty" -d '
{
"query": {
"filtered": {
"filter": {
"bool": {
"should": [
{
"nested": {
"path": "kol_tags.scored",
"filter": {
"bool": {
"must": [
{
"term": {
"name": "Core Grower"
}
},
{
"range": {
"score": {
"gte": 1,
"lte": 100
}
}
}
]
}
}
}
},
{
"nested": {
"path": "kol_tags.scored",
"filter": {
"bool": {
"must": [
{
"term": {
"name": "Connectivity"
}
},
{
"range": {
"score": {
"gte": 35,
"lte": 65
}
}
}
]
}
}
}
}
],
"must_not": [
{
"nested": {
"path": "kol_tags.scored",
"filter": {
"bool": {
"must": [
{
"term": {
"name": "Connectivity"
}
},
{
"not": {
"range": {
"score": {
"gte": 35,
"lte": 65
}
}
}
}
]
}
}
}
}
]
}
}
}
}
}
'
curl -XPOST "$ELASTICSEARCH_ENDPOINT/_search?pretty" -d '
{
"filter": {
"nested": {
"path": "kol_tags.scored",
"filter": {
"or": [
{
"and": [
{
"terms": {
"kol_tags.scored.name": [
"Core Grower"
]
}
},
{
"range": {
"kol_tags.scored.score": {
"gte": 1,
"lte": 100
}
}
}
]
},
{
"and": [
{
"terms": {
"kol_tags.scored.name": [
"Connectivity"
]
}
},
{
"range": {
"kol_tags.scored.score": {
"gte": 35,
"lte": 65
}
}
}
]
}
]
}
}
}
}
'
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