Elasticsearch覆盖搜索结果中的字段值

Question

用例是，如果用户没有登录，我想隐藏产品价格(更改为0(。

PUT /products
{
"mappings": {
"properties": {
"price": {
"type": "scaled_float",
"scaling_factor": 100
}
}
}
}

POST /products/_doc
{
"price": 101
}

POST /products/_doc
{
"price": 102
}

POST /products/_doc
{
"price": 103
}

我尝试在下面的脚本中使用runtime_mapping，但结果仍然是原始数据。

GET /products/_search
{
"query": {
"match_all": {}
},
"runtime_mappings": {
"price": {
"type": "double",
"script": "if(0 == 1) {emit(333);} else{emit(222);}"
}
}
}

我想念什么？脚本条件无效吗？

谢谢。

--编辑--

我预计所有价格都是222。但原价已退回

预期输出：

{
"took" : 4,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 4,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "products",
"_id" : "XXphNoMBcFxgyV6Mwe1-",
"_score" : 1.0,
"_source" : {
"price" : 222
}
},
{
"_index" : "products",
"_id" : "XnphNoMBcFxgyV6Mye2c",
"_score" : 1.0,
"_source" : {
"price" : 222
}
},
{
"_index" : "products",
"_id" : "X3phNoMBcFxgyV6M0e2W",
"_score" : 1.0,
"_source" : {
"price" : 222
}
},
{
"_index" : "products",
"_id" : "YHphNoMBcFxgyV6M3u0V",
"_score" : 1.0,
"_source" : {
"price" : 222
}
}
]
}
}

实际输出：

{
"took" : 4,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 4,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "products",
"_id" : "XXphNoMBcFxgyV6Mwe1-",
"_score" : 1.0,
"_source" : {
"price" : 101
}
},
{
"_index" : "products",
"_id" : "XnphNoMBcFxgyV6Mye2c",
"_score" : 1.0,
"_source" : {
"price" : 102
}
},
{
"_index" : "products",
"_id" : "X3phNoMBcFxgyV6M0e2W",
"_score" : 1.0,
"_source" : {
"price" : 105
}
},
{
"_index" : "products",
"_id" : "YHphNoMBcFxgyV6M3u0V",
"_score" : 1.0,
"_source" : {
"price" : 0
}
}
]
}
}

Answer 1

在正式文档中的示例重试后，我意识到我错过了查询体中的fields键。

GET /products/_search
{
"query": {
"match_all": {}
},
"runtime_mappings": {
"price": {
"type": "double",
"script": "if(0 == 1) {emit(333);} else{emit(222);}"
}
},
"fields": ["price"]
}

现在我得到了原始字段和脚本字段。