To query and sort events by their next upcoming date from an array of dates in Elasticsearch, you need to combine a range filter with a custom script-based sort. Here's how to achieve this:
Use a range query to include events with at least one date in the future:
json
"query": { "bool": { "filter": { "range": { "OccursOn": { "gte": "now" } } } } }
This ensures only events with dates occurring now or later are included134.
Use a Painless script in the sort to find the earliest future date in the OccursOn array:
json
"sort": [ { "_script": { "type": "number", "script": { "lang": "painless", "source": """ long now = new Date().getTime(); long nextDate = Long.MAX_VALUE; for (def date : doc['OccursOn']) { long timestamp = date.toInstant().toEpochMilli(); if (timestamp >= now && timestamp < nextDate) { nextDate = timestamp; } } return nextDate; """ }, "order": "asc" } } ]
Gets the current timestamp
Iterates through all event dates
Identifies the earliest date that hasn't occurred yet
Sorts events ascending by this calculated next date
json
{ "query": { "bool": { "filter": { "range": { "OccursOn": { "gte": "now" } } } } }, "sort": [ { "_script": { "type": "number", "script": { "lang": "painless", "source": """ long now = new Date().getTime(); long nextDate = Long.MAX_VALUE; for (def date : doc['OccursOn']) { long timestamp = date.toInstant().toEpochMilli(); if (timestamp >= now && timestamp < nextDate) { nextDate = timestamp; } } return nextDate; """ }, "order": "asc" } } ] }
Script sorting has performance implications for large datasets
For better performance, consider pre-calculating the next occurrence date during indexing
Use parameterized now in production for consistent timestamps across distributed systems24
This solution filters events with future dates and sorts them by their earliest upcoming occurrence using Elasticsearch's script sorting capabilities