Elasticsearch 我得到了特定价格范围内唯一可用的尺寸，Elasticsearch 返回所有值
[英]Elasticsearch i am getting the only size available in specific price range, Elasticsearch returns all values
问题描述
I am creating a filters application for products, and i am using nodejs and elasticsearch for filtering products.
我正在为产品创建一个过滤器应用程序，并且我正在使用nodejs和elasticsearch来过滤产品。 I have stuck on price range filter, it shows wrong options values.我坚持价格范围过滤器，它显示错误的选项值。 Here is mapping.这里是映射。
{
"elasticsearch": {
"default_mapping": {
"properties": {
"variants.option_values": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"completion": {
"type": "completion",
"analyzer": "standard"
}
}
},
"variants.price": {
"type": "float",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"text": {
"type": "text"
}
}
}
}
}
}
}
My Query我的查询
{
"_source": [
"variants.option_values",
"variants.price"
],
"query": {
"bool": {
"filter": {
"range": {
"variants.price": {
"gte": 25000,
"lte": 30000
}
}
}
}
},
"aggs": {
"sizes": {
"terms": {
"field": "variants.option_values.keyword",
"order": {
"_count": "desc"
},
"size": 750
}
}
}
}
And Elasticsearch's Result和 Elasticsearch 的结果
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 4.8374715,
"hits": [
{
"_index": "my-products",
"_type": "products",
"_id": "4680333656118",
"_score": 4.8374715,
"_ignored": [
"product_type.completion"
],
"_source": {
"variants": [
{
"price": "30000.00",
"option_values": [
"Small"
]
},
{
"price": "20000.00",
"option_values": [
"Medium"
]
},
{
"price": "25000.00",
"option_values": [
"Large"
]
}
]
}
}
]
},
"aggregations": {
"sizes": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Large",
"doc_count": 1
},
{
"key": "Medium",
"doc_count": 1
},
{
"key": "Small",
"doc_count": 1
}
]
}
}
}
I am expecting an aggregations's buckets must have Size Large and Small .我期望聚合的存储桶必须具有 Size Large和Small 。 And must not include Medium .并且不得包含Medium 。 Because Size Medium's price in less than the filtered price.(In other words size medium is not available in filtered price).因为中号中号的价格低于过滤后的价格。（换句话说，中号中号在过滤后的价格中不可用）。
Here is my mapping这是我的映射
"elasticsearch": {
"default_mapping": {
"properties": {
"placement": {
"type": "nested"
},
"collects": {
"properties": {
"collection_id": {
"type": "long",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"text": {
"type": "text"
}
}
},
"id": {
"type": "long",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"text": {
"type": "text"
}
}
},
"product_id": {
"type": "long",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"text": {
"type": "text"
}
}
}
}
},
"variants.percent_sale": {
"type": "float",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"text": {
"type": "text"
}
}
},
"variants.option_values": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"completion": {
"type": "completion",
"analyzer": "standard"
}
}
},
"variants.price": {
"type": "float",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"text": {
"type": "text"
}
}
},
"variants.compare_at_price": {
"type": "float",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"text": {
"type": "text"
}
}
},
"variants.weight": {
"type": "float",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"text": {
"type": "text"
}
}
},
"variants.sku": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"completion": {
"type": "completion",
"analyzer": "standard"
}
}
},
"tags": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"completion": {
"type": "completion",
"analyzer": "standard"
}
}
},
"vendor": {
"type": "text",
"analyzer": "keyword",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"completion": {
"type": "completion",
"analyzer": "standard"
}
}
},
"product_type": {
"type": "text",
"analyzer": "keyword",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"completion": {
"type": "completion",
"analyzer": "standard"
}
}
},
"title": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"completion": {
"type": "completion",
"analyzer": "standard"
}
}
},
"options.values": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"completion": {
"type": "completion",
"analyzer": "standard"
}
}
},
"articles.title": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"completion": {
"type": "completion",
"analyzer": "standard"
}
}
},
"articles.tags": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
},
"completion": {
"type": "completion",
"analyzer": "standard"
}
}
}
}
}
}
1 个解决方案
解决方案1
0 已采纳 2020-08-12 10:38:39
- Mapping issue: Resolved when i set variants as nested type映射问题：当我将变体设置为嵌套类型时解决
- inner_hits done the great job! inner_hits做得很好！
Here is results这是结果
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 0,
"hits": [
{
"_index": "my-products",
"_type": "products",
"_id": "5012966080571",
"_score": 0,
"_source": {
"variants": [
{
"price": "30000.00"
},
{
"price": "20000.00"
},
{
"price": "25000.00"
}
]
},
"inner_hits": {
"variants": {
"hits": {
"total": {
"value": 2,
"relation": "eq"
},
"max_score": null,
"hits": [
{
"_index": "my-products",
"_type": "products",
"_id": "5012966080571",
"_nested": {
"field": "variants",
"offset": 0
},
"_score": null,
"_source": {
"id": 34120727560251,
"product_id": 5012966080571,
"title": "Small",
"price": "30000.00",
"sku": "super-1101",
"position": 1,
"inventory_policy": "deny",
"compare_at_price": "30500.00",
"fulfillment_service": "manual",
"inventory_management": "shopify",
"option1": "Small",
"option2": null,
"option3": null,
"created_at": "2020-08-11T11:09:29-04:00",
"updated_at": "2020-08-11T11:09:49-04:00",
"taxable": true,
"barcode": "",
"grams": 144,
"image_id": null,
"weight": 144,
"weight_unit": "g",
"inventory_item_id": 35675740274747,
"inventory_quantity": 2,
"old_inventory_quantity": 2,
"requires_shipping": true,
"admin_graphql_api_id": "gid://shopify/ProductVariant/34120727560251",
"option_values": [
"Small"
],
"percent_sale": 1
},
"sort": [
30000
]
},
{
"_index": "my-products",
"_type": "products",
"_id": "5012966080571",
"_nested": {
"field": "variants",
"offset": 2
},
"_score": null,
"_source": {
"id": 34120727625787,
"product_id": 5012966080571,
"title": "Large",
"price": "25000.00",
"sku": "super-1103",
"position": 3,
"inventory_policy": "deny",
"compare_at_price": "25500.00",
"fulfillment_service": "manual",
"inventory_management": "shopify",
"option1": "Large",
"option2": null,
"option3": null,
"created_at": "2020-08-11T11:09:29-04:00",
"updated_at": "2020-08-11T11:10:03-04:00",
"taxable": true,
"barcode": "",
"grams": 144,
"image_id": null,
"weight": 144,
"weight_unit": "g",
"inventory_item_id": 35675740340283,
"inventory_quantity": 4,
"old_inventory_quantity": 4,
"requires_shipping": true,
"admin_graphql_api_id": "gid://shopify/ProductVariant/34120727625787",
"option_values": [
"Large"
],
"percent_sale": 1
},
"sort": [
25000
]
}
]
}
}
}
}
]
},
"aggregations": {
"variants_options": {
"doc_count": 3,
"inner": {
"doc_count": 2,
"sizes": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Large",
"doc_count": 1
},
{
"key": "Small",
"doc_count": 1
}
]
}
}
}
}
}
Thanks Gibbs谢谢吉布斯
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