I have documents as
{
"took" : 3,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 3,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "journeys-development-latest",
"_type" : "_doc",
"_id" : "1399",
"_score" : 1.0,
"_source" : {
"draft_recent_edit_at" : "2023-01-14T04:16:41.318Z",
"recent_edit_at" : "2022-09-23T14:13:41.246Z"
}
},
{
"_index" : "journeys-development-latest",
"_type" : "_doc",
"_id" : "1394",
"_score" : 1.0,
"_source" : {
"draft_recent_edit_at" : "2022-07-02T16:19:41.347Z",
"recent_edit_at" : "2022-12-26T10:12:41.333Z"
}
},
{
"_index" : "journeys-development-latest",
"_type" : "_doc",
"_id" : "1392",
"_score" : 1.0,
"_source" : {
"draft_recent_edit_at" : "2022-05-20T11:33:41.372Z",
"recent_edit_at" : "2021-12-21T03:36:41.359Z"
}
}
]
}
}
What I know is if I do
{
"size": 12,
"from": 0,
"query": {
......,
......
},
"sort": [
{
"recent_edit_at": {
"order": "desc"
}
}
]
}
This will order by recent_edit_at
in desc
order.
Similarly replacing recent_edit_at
with draft_recent_edit_at
will order by draft_recent_edit_at
in desc
order.
What I am struggling is to find a way where I can say I want to order by max
in draft_recent_edit_at, recent_edit_at
and then order the documents according to those.
===========================Update===========================
After adding sort proposed by HPringles the output is
{
"error": {
"root_cause": [
{
"type": "script_exception",
"reason": "runtime error",
"script_stack": [
"Math.max(doc['draft_recent_edit_at'].value.toInstant().toEpochMilli(),\n doc['recent_edit_at'].value.toInstance().toEpochMilli())\n ",
" ^---- HERE"
],
"script": "\n Math.max(doc['draft_recent_edit_at'].value.toInstant().toEpochMilli(),\n doc['recent_edit_at'].value.toInstance().toEpochMilli())\n ",
"lang": "painless"
}
],
"type": "search_phase_execution_exception",
"reason": "all shards failed",
"phase": "query",
"grouped": true,
"failed_shards": [
{
"shard": 0,
"index": "journeys-development-latest",
"node": "GGAHq1ufQQmSqeLRyzka5A",
"reason": {
"type": "script_exception",
"reason": "runtime error",
"script_stack": [
"Math.max(doc['draft_recent_edit_at'].value.toInstant().toEpochMilli(),\n doc['recent_edit_at'].value.toInstance().toEpochMilli())\n ",
" ^---- HERE"
],
"script": "\n Math.max(doc['draft_recent_edit_at'].value.toInstant().toEpochMilli(),\n doc['recent_edit_at'].value.toInstance().toEpochMilli())\n ",
"lang": "painless",
"caused_by": {
"type": "illegal_argument_exception",
"reason": "dynamic method [org.elasticsearch.script.JodaCompatibleZonedDateTime, toInstance/0] not found"
}
}
}
]
},
"status": 400
}
CodePudding user response:
If I'm understanding correctly, you can do this with a painless script at runtime.
See below:
"sort": {
"_script": {
"type": "number",
"script": {
"lang": "painless",
"source": """
Math.max(doc['draft_recent_edit_at'].value.toInstant().toEpochMilli(),
doc['recent_edit_at'].value.toInstance().toEpochMilli())
""",
"params": {
"factor": 1.1
}
},
"order": "asc"
}
}
This will work out the maximum of the two, and then sort based on that value.
CodePudding user response:
As far as I know you might also want to convert the Epoch values to long.
Something like -
"sort": {
"_script": {
"type": "number",
"script": {
"lang": "painless",
"source": """
long draft_recent_edit_at = doc['draft_recent_edit_at'].value.toInstant().toEpochMilli();
long recent_edit_at = doc['recent_edit_at'].value.toInstant().toEpochMilli();
Math.max(draft_recent_edit_at, recent_edit_at);
"""
},
"order": "asc"
}
}