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[英]How to aggregate by dynamic or unknown fields in Elasticsearch 6.x
[英]How to aggregate over dynamic fields in elasticsearch?
我试图通过elasticsearch聚合动态字段(不同文档不同)。 文件如下:
[{
"name": "galaxy note",
"price": 123,
"attributes": {
"type": "phone",
"weight": "140gm"
}
},{
"name": "shirt",
"price": 123,
"attributes": {
"type": "clothing",
"size": "m"
}
}]
如您所见,文档中的属性发生了变化。 我想要实现的是聚合这些属性的字段,如下所示:
{
aggregations: {
types: {
buckets: [{key: 'phone', count: 123}, {key: 'clothing', count: 12}]
}
}
}
我正在尝试使用elasticsearch的聚合功能来实现这一目标,但却无法找到正确的方法。 是否有可能通过聚合实现? 或者我应该开始寻找方面 ,认为它似乎被剥夺了。
您必须将属性定义为嵌套在映射中,并将单个属性值的布局更改为固定布局{ key: DynamicKey, value: DynamicValue }
PUT /catalog
{
"settings" : {
"number_of_shards" : 1
},
"mappings" : {
"article": {
"properties": {
"name": {
"type" : "string",
"index" : "not_analyzed"
},
"price": {
"type" : "integer"
},
"attributes": {
"type": "nested",
"properties": {
"key": {
"type": "string"
},
"value": {
"type": "string"
}
}
}
}
}
}
}
您可以像这样索引您的文章
POST /catalog/article
{
"name": "shirt",
"price": 123,
"attributes": [
{ "key": "type", "value": "clothing"},
{ "key": "size", "value": "m"}
]
}
POST /catalog/article
{
"name": "galaxy note",
"price": 123,
"attributes": [
{ "key": "type", "value": "phone"},
{ "key": "weight", "value": "140gm"}
]
}
毕竟,您可以聚合嵌套属性
GET /catalog/_search
{
"query":{
"match_all":{}
},
"aggs": {
"attributes": {
"nested": {
"path": "attributes"
},
"aggs": {
"key": {
"terms": {
"field": "attributes.key"
},
"aggs": {
"value": {
"terms": {
"field": "attributes.value"
}
}
}
}
}
}
}
}
然后,它会以稍微不同的形式为您提供所需的信息
[...]
"buckets": [
{
"key": "type",
"doc_count": 2,
"value": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "clothing",
"doc_count": 1
}, {
"key": "phone",
"doc_count": 1
}
]
}
},
[...]
不确定这是不是你的意思,但这对于基本的聚合功能来说相当简单。 请注意,我没有包含映射,所以使用多个单词的类型会得到双重结果。
POST /product/atype
{
"name": "galaxy note",
"price": 123,
"attributes": {
"type": "phone",
"weight": "140gm"
}
}
POST /product/atype
{
"name": "shirt",
"price": 123,
"attributes": {
"type": "clothing",
"size": "m"
}
}
GET /product/_search?search_type=count
{
"aggs": {
"byType": {
"terms": {
"field": "attributes.type",
"size": 10
}
}
}
}
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