В моем индексе эластичного поиска test_index у меня есть много документов в формате JSON со структурой ниже.
{
"_index": "test_index",
"_type": "_doc",
"_id": "index10",
"_score": 1,
"_source": {
"id_name": "index10",
"further_details": {
"nest1": {
"section1": {
"sectionnest1": {
"fielding11": "value11",
"fielding12": "value12",
"fielding13": "value13",
"fielding14": {
"subfielding141": "subvalue141",
"subfielding142": "subvalue142",
"subfielding143": "subvalue143"
},
"fielding15": "value15",
"fielding16": "value16",
"fielding17": "value16",
"fielding18": {
"subfielding181": "subvalue181",
"subfielding182": "20-DEC-2013 07:09:43",
"subfielding183": "0",
"subfielding184": "subvalue184",
"subfielding185": "subvalue185",
"subfielding186": "subvalue186",
"subfielding187": "subvalue187"
},
"fielding19": "value19",
}
},
"sectionnest2": {
"fielding21": [
"arrayvalue21"
]
},
"sectionnest3": {
"fielding31": "value31",
"fielding32": "value32",
"fielding33": "value33",
"fielding34": "value34",
"fielding35": "value35",
"fielding36": {
"subfielding361": "subvalue361"
}
}
},
"section2": {
"sectionnest1": {
"fielding11": "value21",
"fielding12": "value22",
"fielding13": "value23",
"fielding14": {
"subfielding141": "subvalue241",
"subfielding142": "subvalue242",
"subfielding143": "subvalue243"
},
"fielding15": "value25",
"fielding16": "value26",
"fielding17": "value26",
"fielding18": {
"subfielding181": "subvalue281",
"subfielding182": "20-DEC-2014 08:09:43",
"subfielding183": "0",
"subfielding184": "subvalue284",
"subfielding185": "subvalue285",
"subfielding186": "subvalue286",
"subfielding187": "subvalue287"
},
"fielding19": "value29",
}
},
"sectionnest2": {
"fielding21": [
"arrayvalue21"
]
},
"sectionnest3": {
"fielding31": "value231",
"fielding32": "value232",
"fielding33": "value233",
"fielding34": "value234",
"fielding35": "value235",
"fielding36": {
"subfielding361": "subvalue2361"
}
}
},
"section3": {
"sectionnest1": {
"fielding11": "value31",
"fielding12": "value32",
"fielding13": "value33",
"fielding14": {
"subfielding141": "subvalue341",
"subfielding142": "subvalue342",
"subfielding143": "subvalue343"
},
"fielding15": "value35",
"fielding16": "value36",
"fielding17": "value36",
"fielding18": {
"subfielding181": "subvalue381",
"subfielding182": "20-DEC-2017 08:10:43",
"subfielding183": "0",
"subfielding184": "subvalue384",
"subfielding185": "subvalue385",
"subfielding186": "subvalue386",
"subfielding187": "subvalue387"
},
"fielding19": "value39",
}
},
"sectionnest2": {
"fielding21": [
"arrayvalue31"
]
},
"sectionnest3": {
"fielding31": "value4331",
"fielding32": "value4332",
"fielding33": "value4333",
"fielding34": "value4334",
"fielding35": "value4335",
"fielding36": {
"subfielding361": "subvalue43361"
}
}
}
}
}
}
В приведенном выше примере документа я смог получить данные section1, section2, section3 (которые я хотел), используя запрос как
POST test_index/_search
{
"size": 10,
"_source": {
"includes": [ "further_details.*.nest1.*" ],
"excludes": [ "further_details.*.nest1.*.*" ]
}
}
, но если я хочу получитьdata section1, section2, section3 и subfielding141 value, приведенный ниже запрос, который я пробовал, не работает.
POST test_index/_search
{
"size": 10,
"_source": {
"includes": [ "further_details.*.nest1.*", "further_details.*subfielding141" ],
"excludes": [ "further_details.*.nest1.*.*" ]
}
}
Так что меня беспокоит, ожидаемое ли это поведение с Elasticsearch или я делаю не так.Я пытался проверить документы, которые не помогают мне преодолеть это.