【发布时间】:2019-02-27 07:51:25
【问题描述】:
我正在尝试对存储在 elasticsearch 中的记录执行搜索查询。 记录结构看起来像这样。
{
"_index" : "box_info_store",
"_type" : "boxes",
"_id" : "pWjQLWkBIJk0ORjd0X2P",
"_score" : null,
"_source" : {
"transactionID" : "60ab66cf24c9924f562bf1a2b5d92305d0a6",
"boxNumber" : "Box3",
"createDate" : "2013-09-17T00:00:00",
"itemNumber" : "Item1",
"address" : "Sample Address"
}
}
一个盒子可以包含多个项目。例如 Box3 可以有 Item1、Item2 和 Item3。所以在elasticsearch中我将有3个不同的文档。同时,同样的盒子和同样的物品也可以存在,但地址不同。这些文档的 transactionID 可能相同也可能不同。
我的要求是获取最近 n 个最近且不同的 transactionID 及其记录。
我尝试使用以下查询来获取最后 7 个不同的 transactionID
GET /box_info_store/boxes/_search?size=7
{
"query": {
"bool": {
"must": [
{"match":{"boxNumber":"Box3"}},
{"match":{"itemNumber":"Item1"}}
]
}
},
"sort": [
{
"createDate": {
"order": "desc"
}
}
],
"aggs": {
"distinct_transactions": {
"terms": { "field": "transactionID"}
}
}
}
这为我获取了最后 7 个文档,其中 boxNumber 是 Box3,itemNumber 是 Item1,但不是 7 个不同的 transactionID,这七个文档中有两个具有相同的 transactionID(尽管两者都有不同的地址)。 但我的要求是获得 7 个不同的 transactionId,无论它返回多少个文档。
希望我能够解释自己。 在这里感谢任何形式的帮助
谢谢
-----编辑@gaurav9620,我运行第一个查询并得到计数为32,然后我运行第二个查询,不同计数为3,我得到以下结果
{
"took" : 1,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : 32,
"max_score" : null,
"hits" : [
{
"_index" : "box_info_store",
"_type" : "boxes",
"_id" : "RWjRLWkBIJk0ORjdEX-L",
"_score" : null,
"_source" : {
"transactionID" : "3087e106244f6247a5290fb21ce64254529c",
"boxNumber" : "Box3",
"createDate" : "2017-11-15T00:00:00",
"itemNumber" : "Item1",
"address" : "sampleAddress12",
},
"sort" : [
1510704000000
]
},
{
"_index" : "box_info_store",
"_type" : "boxes",
"_id" : "MGjQLWkBIJk0ORjdwX0M",
"_score" : null,
"_source" : {
"transactionID" : "60ab66cf24c9924f562bf1a2b5d92305d0a6",
"boxNumber" : "Box3",
"createDate" : "2016-04-03T00:00:00",
"itemNumber" : "Item1",
"address" : "sampleAddress321",
},
"sort" : [
1459641600000
]
},
..........
..........
..........
{
"_index" : "box_info_store",
"_type" : "boxes",
"_id" : "AGjRLWkBIJk0ORjdK4CJ",
"_score" : null,
"_source" : {
"transactionID" : "3087e106244f6247a5290fb21ce64254529c",
"boxNumber" : "Box3",
"createDate" : "1996-02-16T00:00:00",
"itemNumber" : "Item1",
"address" : "sampleAddress4324",
},
"sort" : [
824428800000
]
}
]
},
"aggregations" : {
"unique_transactions" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 16,
"buckets" : [
{
"key" : "3087e106244f6247a5290fb21ce64254529c",
"doc_count" : 6
},
{
"key" : "27c5f3422f4482495d29e7b2c15c0e311743",
"doc_count" : 5
},
{
"key" : "c40e53212e74e24bf02a5bd2b134cf92bffb",
"doc_count" : 5
}
]
}
}
}
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标签: elasticsearch kibana