I am following this example https://www.compose.com/articles/how-to-script-painless-ly-in-elasticsearch/ where BOTH the ORIGINAL fields plus the calculated field (some_scores) are presented in the result document.
{
"_index": "sat",
"_type": "scores",
"_id": "AV3CYR8JFgEfgdUCQSON",
"_score": 1,
"_source": {
"cds": 1611760130062,
"rtype": "S",
"sname": "American High",
"dname": "Fremont Unified",
"cname": "Alameda",
"enroll12": 444,
"NumTstTakr": 298,
"AvgScrRead": 576,
"AvgScrMath": 610,
"AvgScrWrit": 576,
"NumGE1500": 229,
"PctGE1500": 76.85,
"year": 1516
},
"fields": {
"some_scores": [
1152
]
}
}
Now i am doing a _search with the following post body
{
"query": {
"match_all": {}
},
"script_fields": {
"some_scores": {
"script": {
"lang": "painless",
"inline": "\"hello\""
}
}
}
}
but the results i am getting DOESN'T contain the original fields; it only contains the testing field which i hardcoded to hello. Is there anything wrong with my query ?
"hits": [
{
"_index": "abcIndex",
"_type": "data",
"_id": "id_00000025",
"_score": 1.0,
"fields": {
"some_scores": [
"hello"
]
}
}]
You need to explicitly pass _source": ["*"] when using script field. I was not able to find reason for this , looks like some kind of optimization.
{
"_source": ["*"],
"query": {
"match_all": {}
},
"script_fields": {
"some_scores": {
"script": {
"lang": "painless",
"inline": "doc['authorization']+\"hello\""
}
}
}