Show query when fetching higher indices of an array of documents

SQL++
1

I have created a secondary index for this document type where it ordered by time (e.t).
And I have experienced significant delay or slow query responses while fetching time range is large or towards second half of the array.

From the queries below, query #1 has response time of ~200ms, while query #2 has response time of 3 seconds. You can see the increased in response time is probably due to total count of the documents, as it has to filter through from the start.

I want to know if there is a way to speed up this query, or creating a different type of index would help.

PS: I also have an adaptive index, not sure if that will be the cause of the slowness.

Queries:

query #1

SELECT a.e, meta(a).id FROM company a WHERE a.type=‘program’ AND a.rp=‘id_3498587349857’
AND a.l AND a.e.d IS MISSING AND a.e.t >= 0 AND a.e.t < 480000

query #2

SELECT a.e, meta(a).id FROM company a WHERE a.type=‘program’ AND a.rp=‘id_3498587349857’
AND a.l AND a.e.d IS MISSING AND a.e.t >= 36000000 AND a.e.t < 36480000

Document model:

  {
  "e": {
    "t": 117859,
    "e": "N",
  },
  "l": true,
  "r": "id_98572945879854",
  "rp": "id_3498587349857",
  "s": "U",
  "d": 1557119400,
  "i": 0,
  "type": "program"
}

Adaptive Index:

CREATE INDEX `program` ON `company`((distinct (pairs(self)))) WHERE (`type` = "program")

Secondary Index:

CREATE INDEX filter_programsON `company`(type, rp, l, e.d, e.t ASC)
2

Use following index. drop adaptive index.

CREATE INDEX ix1  ON `company`(rp, l, e.t ASC, e.d, e) 
WHERE type = "program"

https://blog.couchbase.com/create-right-index-get-right-performance/

3

thank solved the issue