You could use the first key (kind of make it your own before_key
) and turn around the sort order. Quick example:
Test data:
POST test/_doc
{
"date": "2020-01-01",
"product": "a"
}
POST test/_doc
{
"date": "2020-01-02",
"product": "b"
}
POST test/_doc
{
"date": "2020-01-03",
"product": "c"
}
POST test/_doc
{
"date": "2020-01-04",
"product": "d"
}
POST test/_doc
{
"date": "2020-01-05",
"product": "e"
}
Run the first query:
GET /_search
{
"size": 0,
"aggs": {
"my_buckets": {
"composite": {
"size": 2,
"sources": [
{
"date": {
"date_histogram": {
"field": "date",
"calendar_interval": "1d",
"order": "desc"
}
}
},
{
"product": {
"terms": {
"field": "product.keyword",
"order": "asc"
}
}
}
]
}
}
}
}
That returns:
"aggregations" : {
"my_buckets" : {
"after_key" : {
"date" : 1578096000000,
"product" : "d"
},
"buckets" : [
{
"key" : {
"date" : 1578182400000,
"product" : "e"
},
"doc_count" : 1
},
{
"key" : {
"date" : 1578096000000,
"product" : "d"
},
"doc_count" : 1
}
]
}
}
Based on this you fetch the next page of the aggregation with the after_key
:
GET /_search
{
"size": 0,
"aggs": {
"my_buckets": {
"composite": {
"size": 2,
"sources": [
{
"date": {
"date_histogram": {
"field": "date",
"calendar_interval": "1d",
"order": "desc"
}
}
},
{
"product": {
"terms": {
"field": "product.keyword",
"order": "asc"
}
}
}
],
"after": {
"date": 1578096000000,
"product": "d"
}
}
}
}
}
That gets you back:
"aggregations" : {
"my_buckets" : {
"after_key" : {
"date" : 1577923200000,
"product" : "b"
},
"buckets" : [
{
"key" : {
"date" : 1578009600000,
"product" : "c"
},
"doc_count" : 1
},
{
"key" : {
"date" : 1577923200000,
"product" : "b"
},
"doc_count" : 1
}
]
}
}
Now if you want to go to the page before instead of after: Take the first bucket of this result:
"key" : {
"date" : 1578009600000,
"product" : "c"
}
And invert the asc
and desc
, so you get the following query for the before page:
GET /_search
{
"size": 0,
"aggs": {
"my_buckets": {
"composite": {
"size": 2,
"sources": [
{
"date": {
"date_histogram": {
"field": "date",
"calendar_interval": "1d",
"order": "asc"
}
}
},
{
"product": {
"terms": {
"field": "product.keyword",
"order": "desc"
}
}
}
],
"after": {
"date": 1578009600000,
"product": "c"
}
}
}
}
}
And that takes you to the previous page again:
"aggregations" : {
"my_buckets" : {
"after_key" : {
"date" : 1578182400000,
"product" : "e"
},
"buckets" : [
{
"key" : {
"date" : 1578096000000,
"product" : "d"
},
"doc_count" : 1
},
{
"key" : {
"date" : 1578182400000,
"product" : "e"
},
"doc_count" : 1
}
]
}
}