如果这是 0 KIBANA,则从值中获得最高命中
GET TOP HIT FROM A VALUE IF THIS IS 0 KIBANA
我的第一个post,我整个周末都在寻找一个没有好的结果的答案
我会尽力解释我的问题,我有这个索引
ST 编号
0 1
1 1
0 2
1 2
0 2
1 3
0 3
例如,我需要显示每个 ID 为 0 的最后一条记录,例如,在这个索引中我必须只显示 ID 1 和 ID 2,因为最后一条记录的 ID ST 为 0 1 和 2
有人可以帮我解决这个问题吗?
BR
映射:
PUT index34
{
"mappings": {
"properties": {
"ST":{
"type": "integer"
},
"ID":{
"type": "integer"
},
"Date":{
"type": "date"
}
}
}
}
数据:
[
{
"_index" : "index34",
"_type" : "_doc",
"_id" : "LO7Z7W0B_-hMjUaqtwHw",
"_score" : 1.0,
"_source" : {
"ST" : 1,
"ID" : 1,
"Date" : "2019-10-21T12:00:00Z"
}
},
{
"_index" : "index34",
"_type" : "_doc",
"_id" : "Le7Z7W0B_-hMjUaq0QEz",
"_score" : 1.0,
"_source" : {
"ST" : 0,
"ID" : 1,
"Date" : "2019-10-21T12:01:00Z"
}
},
{
"_index" : "index34",
"_type" : "_doc",
"_id" : "Lu7a7W0B_-hMjUaqAwE0",
"_score" : 1.0,
"_source" : {
"ST" : 1,
"ID" : 2,
"Date" : "2019-10-21T12:02:00Z"
}
},
{
"_index" : "index34",
"_type" : "_doc",
"_id" : "L-7a7W0B_-hMjUaqGAEr",
"_score" : 1.0,
"_source" : {
"ST" : 0,
"ID" : 2,
"Date" : "2019-10-21T12:04:00Z"
}
},
{
"_index" : "index34",
"_type" : "_doc",
"_id" : "MO7a7W0B_-hMjUaqNAGA",
"_score" : 1.0,
"_source" : {
"ST" : 0,
"ID" : 3,
"Date" : "2019-10-21T12:04:00Z"
}
},
{
"_index" : "index34",
"_type" : "_doc",
"_id" : "Me7a7W0B_-hMjUaqTQFP",
"_score" : 1.0,
"_source" : {
"ST" : 1,
"ID" : 3,
"Date" : "2019-10-21T12:06:00Z"
}
}
]
查询:我正在获取所有项的最大日期,然后在 ST 为零时获取最大值。如果这两个匹配(这意味着 0 是最新文档)那么我将保留桶
GET index34/_search
{
"size": 0,
"aggs": {
"ID": {
"terms": {
"field": "ID",
"size": 10000
},
"aggs": {
"maxDate": {
"max": {
"field": "Date"
}
},
"pending_status": {
"filter": {
"term": {
"ST": 0
}
},
"aggs": {
"filtered_maxdate": {
"max": {
"field": "Date"
}
}
}
},
"buckets_latest_status_pending": {
"bucket_selector": {
"buckets_path": {
"filtereddate": "pending_status>filtered_maxdate",
"maxDate": "maxDate"
},
"script": "params.filtereddate==params.maxDate"
}
}
}
}
}
}
回复:
"aggregations" : {
"ID" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : 1,
"doc_count" : 2,
"pending_status" : {
"doc_count" : 1,
"filtered_maxdate" : {
"value" : 1.57165926E12,
"value_as_string" : "2019-10-21T12:01:00.000Z"
}
},
"maxDate" : {
"value" : 1.57165926E12,
"value_as_string" : "2019-10-21T12:01:00.000Z"
}
},
{
"key" : 2,
"doc_count" : 2,
"pending_status" : {
"doc_count" : 1,
"filtered_maxdate" : {
"value" : 1.57165944E12,
"value_as_string" : "2019-10-21T12:04:00.000Z"
}
},
"maxDate" : {
"value" : 1.57165944E12,
"value_as_string" : "2019-10-21T12:04:00.000Z"
}
}
]
}
我的第一个post,我整个周末都在寻找一个没有好的结果的答案
我会尽力解释我的问题,我有这个索引
ST 编号
0 1
1 1
0 2
1 2
0 2
1 3
0 3
例如,我需要显示每个 ID 为 0 的最后一条记录,例如,在这个索引中我必须只显示 ID 1 和 ID 2,因为最后一条记录的 ID ST 为 0 1 和 2
有人可以帮我解决这个问题吗?
BR
映射:
PUT index34
{
"mappings": {
"properties": {
"ST":{
"type": "integer"
},
"ID":{
"type": "integer"
},
"Date":{
"type": "date"
}
}
}
}
数据:
[
{
"_index" : "index34",
"_type" : "_doc",
"_id" : "LO7Z7W0B_-hMjUaqtwHw",
"_score" : 1.0,
"_source" : {
"ST" : 1,
"ID" : 1,
"Date" : "2019-10-21T12:00:00Z"
}
},
{
"_index" : "index34",
"_type" : "_doc",
"_id" : "Le7Z7W0B_-hMjUaq0QEz",
"_score" : 1.0,
"_source" : {
"ST" : 0,
"ID" : 1,
"Date" : "2019-10-21T12:01:00Z"
}
},
{
"_index" : "index34",
"_type" : "_doc",
"_id" : "Lu7a7W0B_-hMjUaqAwE0",
"_score" : 1.0,
"_source" : {
"ST" : 1,
"ID" : 2,
"Date" : "2019-10-21T12:02:00Z"
}
},
{
"_index" : "index34",
"_type" : "_doc",
"_id" : "L-7a7W0B_-hMjUaqGAEr",
"_score" : 1.0,
"_source" : {
"ST" : 0,
"ID" : 2,
"Date" : "2019-10-21T12:04:00Z"
}
},
{
"_index" : "index34",
"_type" : "_doc",
"_id" : "MO7a7W0B_-hMjUaqNAGA",
"_score" : 1.0,
"_source" : {
"ST" : 0,
"ID" : 3,
"Date" : "2019-10-21T12:04:00Z"
}
},
{
"_index" : "index34",
"_type" : "_doc",
"_id" : "Me7a7W0B_-hMjUaqTQFP",
"_score" : 1.0,
"_source" : {
"ST" : 1,
"ID" : 3,
"Date" : "2019-10-21T12:06:00Z"
}
}
]
查询:我正在获取所有项的最大日期,然后在 ST 为零时获取最大值。如果这两个匹配(这意味着 0 是最新文档)那么我将保留桶
GET index34/_search
{
"size": 0,
"aggs": {
"ID": {
"terms": {
"field": "ID",
"size": 10000
},
"aggs": {
"maxDate": {
"max": {
"field": "Date"
}
},
"pending_status": {
"filter": {
"term": {
"ST": 0
}
},
"aggs": {
"filtered_maxdate": {
"max": {
"field": "Date"
}
}
}
},
"buckets_latest_status_pending": {
"bucket_selector": {
"buckets_path": {
"filtereddate": "pending_status>filtered_maxdate",
"maxDate": "maxDate"
},
"script": "params.filtereddate==params.maxDate"
}
}
}
}
}
}
回复:
"aggregations" : {
"ID" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : 1,
"doc_count" : 2,
"pending_status" : {
"doc_count" : 1,
"filtered_maxdate" : {
"value" : 1.57165926E12,
"value_as_string" : "2019-10-21T12:01:00.000Z"
}
},
"maxDate" : {
"value" : 1.57165926E12,
"value_as_string" : "2019-10-21T12:01:00.000Z"
}
},
{
"key" : 2,
"doc_count" : 2,
"pending_status" : {
"doc_count" : 1,
"filtered_maxdate" : {
"value" : 1.57165944E12,
"value_as_string" : "2019-10-21T12:04:00.000Z"
}
},
"maxDate" : {
"value" : 1.57165944E12,
"value_as_string" : "2019-10-21T12:04:00.000Z"
}
}
]
}