[英]How to make flattened sub-field in the nested field in elastic search?
在這里,我有一個索引文檔,如:
doc = {
"id": 1,
"content": [
{
"txt": I,
"time": 0,
},
{
"txt": have,
"time": 1,
},
{
"txt": a book,
"time": 2,
},
{
"txt": do not match this block,
"time": 3,
},
]
}
我想匹配“我有一本書”,並返回匹配的時間:0,1,2。 有沒有人知道如何為這種情況構建索引和查詢? 我認為“content.txt”應該變平但“content.time”應該嵌套?
想要匹配“我有一本書”,並返回匹配的時間:0,1,2。
添加帶有索引映射、搜索查詢和搜索結果的工作示例
索引映射:
{
"mappings": {
"properties": {
"content": {
"type": "nested"
}
}
}
}
搜索查詢:
{
"query": {
"nested": {
"path": "content",
"query": {
"bool": {
"must": [
{
"match": {
"content.txt": "I have a book"
}
}
]
}
},
"inner_hits": {}
}
}
}
搜索結果:
"inner_hits": {
"content": {
"hits": {
"total": {
"value": 3,
"relation": "eq"
},
"max_score": 2.5226097,
"hits": [
{
"_index": "64752029",
"_type": "_doc",
"_id": "1",
"_nested": {
"field": "content",
"offset": 2
},
"_score": 2.5226097,
"_source": {
"txt": "a book",
"time": 2
}
},
{
"_index": "64752029",
"_type": "_doc",
"_id": "1",
"_nested": {
"field": "content",
"offset": 0
},
"_score": 1.5580825,
"_source": {
"txt": "I",
"time": 0
}
},
{
"_index": "64752029",
"_type": "_doc",
"_id": "1",
"_nested": {
"field": "content",
"offset": 1
},
"_score": 1.5580825,
"_source": {
"txt": "have",
"time": 1
}
}
]
}
}
}
}
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