我有产品数据库。每一个产品是由田：uuid，group_id，title，since，till。
since并till定义可用性间隔。
间隔[since, till]是每个group_id的不相交的对。因此，一组内没有2个产品的间隔相交。
我需要获取满足以下条件的产品列表：
ES映射：
{
"products": {
"mappings": {
"dynamic": "false",
"properties": {
"group_id": {
"type": "long",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"title": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"since": {
"type": "date",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"till": {
"type": "date",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
}
}
}
是否可以在Elasticsearch中创建此类查询？
查看您的映射，我创建了示例文档，查询及其响应，如下所示：
POST product_index/_doc/1
{
"group_id": 1,
"title": "nike",
"since": "2020-01-01",
"till": "2020-03-31"
}
POST product_index/_doc/2
{
"group_id": 2,
"title": "nike",
"since": "2020-01-01",
"till": "2020-03-31"
}
POST product_index/_doc/3
{
"group_id": 3,
"title": "nike",
"since": "2020-03-15",
"till": "2020-03-31"
}
POST product_index/_doc/4
{
"group_id": 3,
"title": "nike",
"since": "2020-03-19",
"till": "2020-03-31"
}
如上文提到的，有像在总共4个文件，group 1并2具有一个文档的每个而group 3具有两个两个文件since >= now
查询摘要如下：
Bool
- Must
- Match title as nike
- Should
- clause 1 - since <= now <= till
- clause 2 - now <= since
Agg
- Terms on GroupId
- Top Hits (retrieve only 1st document as your clause is at most for each group, and sort them by asc order of since)
下面是实际的查询：
POST product_index/_search
{
"size": 0,
"query": {
"bool": {
"must": [
{
"match": {
"title": "nike"
}
},
{
"bool": {
"should": [
{ <--- since <=now <= till
"bool": {
"must": [
{
"range": {
"till": {
"gte": "now"
}
}
},
{
"range": {
"since": {
"lte": "now"
}
}
}
]
}
},
{ <---- since >= now
"bool": {
"must": [
{
"range": {
"since": {
"gte": "now"
}
}
}
]
}
}
]
}
}
]
}
},
"aggs": {
"my_groups": {
"terms": {
"field": "group_id.keyword",
"size": 10
},
"aggs": {
"my_docs": {
"top_hits": {
"size": 1, <--- Note this to return at most one document
"sort": [
{ "since": { "order": "asc"} <--- Sort to return the lowest value of since
}
]
}
}
}
}
}
}
{
"took" : 7,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 4,
"relation" : "eq"
},
"max_score" : null,
"hits" : [ ]
},
"aggregations" : {
"my_groups" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "3",
"doc_count" : 2,
"my_docs" : {
"hits" : {
"total" : {
"value" : 2,
"relation" : "eq"
},
"max_score" : null,
"hits" : [
{
"_index" : "product_index",
"_type" : "_doc",
"_id" : "3",
"_score" : null,
"_source" : {
"group_id" : 3,
"title" : "nike",
"since" : "2020-03-15",
"till" : "2020-03-31"
},
"sort" : [
1584230400000
]
}
]
}
}
},
{
"key" : "1",
"doc_count" : 1,
"my_docs" : {
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : null,
"hits" : [
{
"_index" : "product_index",
"_type" : "_doc",
"_id" : "1",
"_score" : null,
"_source" : {
"group_id" : 1,
"title" : "nike",
"since" : "2020-01-01",
"till" : "2020-03-31"
},
"sort" : [
1577836800000
]
}
]
}
}
},
{
"key" : "2",
"doc_count" : 1,
"my_docs" : {
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : null,
"hits" : [
{
"_index" : "product_index",
"_type" : "_doc",
"_id" : "2",
"_score" : null,
"_source" : {
"group_id" : 2,
"title" : "nike",
"since" : "2020-01-01",
"till" : "2020-03-31"
},
"sort" : [
1577836800000
]
}
]
}
}
}
]
}
}
}
让我知道这是否有帮助！
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