Find nearest timestamp - elasticsearch

Question

I'm using Elasticsearch 6.4.2, and I need to find the previous and next docs considering a specified timestamp.
Kinda like if I did a SELECT TOP 1 * from table WHERE date < 2019-01-01 ORDER BY date DESC and SELECT TOP 1 * from table WHERE date > 2019-01-01 ORDER BY date ASCon a SQL table, to find the previous and next records from 2019-01-01, you know?
Any ideas?

Answer 1

Data:
[
{
"_index" : "index25",
"_type" : "_doc",
"_id" : "mceIBm4B1qXGA4PnKzvZ",
"_score" : 1.0,
"_source" : {
"id" : 1,
"date" : "2019-10-01"
}
},
{
"_index" : "index25",
"_type" : "_doc",
"_id" : "mseIBm4B1qXGA4PnRDvs",
"_score" : 1.0,
"_source" : {
"id" : 2,
"date" : "2019-10-02"
}
},
{
"_index" : "index25",
"_type" : "_doc",
"_id" : "m8eIBm4B1qXGA4PncDv9",
"_score" : 1.0,
"_source" : {
"id" : 3,
"date" : "2019-10-03"
}
},
{
"_index" : "index25",
"_type" : "_doc",
"_id" : "nMeIBm4B1qXGA4Pnhjvs",
"_score" : 1.0,
"_source" : {
"id" : 4,
"date" : "2019-10-04"
}
},
{
"_index" : "index25",
"_type" : "_doc",
"_id" : "nceIBm4B1qXGA4Pnmjtm",
"_score" : 1.0,
"_source" : {
"id" : 5,
"date" : "2019-10-05"
}
}
]
Query: I am using two filter and terms aggregations to get first date greater than and less to 2019-10-03
{
"size": 0,
"aggs": {
"above": {
"filter": {
"range": {
"date": {
"gt": "2019-10-03"
}
}
},
"aggs": {
"TopDocument": {
"terms": {
"field": "date",
"size": 1,
"order": {
"_term": "asc"
}
},
"aggs": {
"documents": {
"top_hits": {
"size": 10
}
}
}
}
}
},
"below":{
"filter": {
"range": {
"date": {
"lt": "2019-10-03"
}
}
},
"aggs": {
"TopDocument": {
"terms": {
"field": "date",
"size": 1,
"order": {
"_term": "desc"
}
},
"aggs": {
"documents": {
"top_hits": {
"size": 10
}
}
}
}
}
}
}
}
Response:
{
"below" : {
"doc_count" : 2,
"TopDocument" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 1,
"buckets" : [
{
"key" : 1569974400000,
"key_as_string" : "2019-10-02T00:00:00.000Z",
"doc_count" : 1,
"documents" : {
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "index25",
"_type" : "_doc",
"_id" : "mseIBm4B1qXGA4PnRDvs",
"_score" : 1.0,
"_source" : {
"id" : 2,
"date" : "2019-10-02"
}
}
]
}
}
}
]
}
},
"above" : {
"doc_count" : 2,
"TopDocument" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 1,
"buckets" : [
{
"key" : 1570147200000,
"key_as_string" : "2019-10-04T00:00:00.000Z",
"doc_count" : 1,
"documents" : {
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "index25",
"_type" : "_doc",
"_id" : "nMeIBm4B1qXGA4Pnhjvs",
"_score" : 1.0,
"_source" : {
"id" : 4,
"date" : "2019-10-04"
}
}
]
}
}
}
]
}
}
}

Answer 2

You can try this :
SELECT TOP 1 * from table WHERE date < 2019-01-01 ORDER BY date DESC
{
"sort": [
{
"date": {
"order": "desc"
}
}
],
"query": {
"bool": {
"filter": [
{
"range": {
"date": {
"lt": "2019-01-01"
}
}
}
]
}
},
"size": 1
}
SELECT TOP 1 * from table WHERE date > 2019-01-01 ORDER BY date ASC
{
"sort": [
{
"date": {
"order": "asc"
}
}
],
"query": {
"bool": {
"filter": [
{
"range": {
"date": {
"gt": "2019-01-01"
}
}
}
]
}
},
"size": 1
}