【发布时间】：2022-01-17 01:25:51
【问题描述】：
我已经在 ES 组上发布了这个，但我没有得到任何回应，所以把它发布在 SO 上。链接https://discuss.elastic.co/t/missing-field-value-for-nested-field-function-score-query-v7-10-2/291365
我已经尝试了很长时间但是嵌套字段值在计算分数时总是说缺少字段值。
映射：
{
"doctor_idx" : {
"mappings" : {
"properties" : {
"_class" : {
"type" : "keyword",
"index" : false,
"doc_values" : false
},
"service" : {
"type" : "nested",
"properties" : {
"_class" : {
"type" : "keyword",
"index" : false,
"doc_values" : false
},
"serviceTypeEarliestAvailability" : {
"type" : "nested",
"properties" : {
"_class" : {
"type" : "keyword",
"index" : false,
"doc_values" : false
},
"earliestAvailableDateTimeByType" : {
"type" : "date",
"format" : "date_hour_minute_second"
},
"serviceType" : {
"type" : "text"
},
"servicesMedium" : {
"type" : "keyword"
}
}
}
}
}
}
}
}
}
为简单起见，我只保留了一条记录。记录一瞥
"serviceTypeEarliestAvailability" : [
{
"serviceType" : "Service Type",
"earliestAvailableDateTimeByType" : "2021-12-09T19:39:16",
"servicesMedium" : [
"MED1",
"MED2",
"MED3",
"MED4"
]
}
],
以下查询给出：“文档没有字段值！使用 doc[].size()==0 检查文档是否缺少字段！”
我尝试使用field_value_factor 而不是script_score，但这是同样的问题，它抱怨缺少字段值。
查询 1：使用 script_score
GET /doctor_idx/_search
{
"explain": true,
"query": {
"nested": {
"path": "service",
"query": {
"nested": {
"score_mode": "max",
"path": "service.serviceTypeEarliestAvailability",
"query": {
"function_score": {
"query": {
"match_all": {
"boost": 1
}
},
"functions": [
{
"filter": {
"match": {
"service.serviceTypeEarliestAvailability.serviceType": "type" // no complaints about this
}
},
"weight": 10
},
{
"script_score": {
"script": {
"source": "(doc['service.serviceTypeEarliestAvailability.earliestAvailableDateTimeByType'].value.getMillis())"
}
}
}
]
}
}
}
}
}
}
}
查询 2：field_value_factor
GET /doctor_idx/_search
{
"explain": true,
"query": {
"nested": {
"path": "service",
"query": {
"nested": {
"score_mode": "max",
"path": "service.serviceTypeEarliestAvailability",
"query": {
"function_score": {
"query": {
"match_all": {
"boost": 1
}
},
"functions": [
{
"filter": {
"match": {
"service.serviceTypeEarliestAvailability.serviceType": "type"
}
},
"weight": 10
},
{
"field_value_factor": {
"field": "service.serviceTypeEarliestAvailability.earliestAvailableDateTimeByType"
}
}
]
}
}
}
}
}
}
}
查询 1 的 ES 错误：
{
"error" : {
"root_cause" : [
{
"type" : "script_exception",
"reason" : "runtime error",
"script_stack" : [
"org.elasticsearch.index.fielddata.ScriptDocValues$Dates.get(ScriptDocValues.java:160)",
"org.elasticsearch.index.fielddata.ScriptDocValues$Dates.getValue(ScriptDocValues.java:154)",
"(doc['service.serviceTypeEarliestAvailability.earliestAvailableDateTimeByType'].value.getMillis())",
" ^---- HERE"
],
"script" : "(doc['service.serviceTypeEarliestAvailability.earliestAvailableDateTimeByType'].value.getMillis())",
"lang" : "painless",
"position" : {
"offset" : 79,
"start" : 0,
"end" : 98
}
}
],
"type" : "search_phase_execution_exception",
"reason" : "all shards failed",
"phase" : "query",
"grouped" : true,
"failed_shards" : [
{
"shard" : 0,
"index" : "doctor_idx",
"node" : "mvh5k24dQPqM-d7JVeNomQ",
"reason" : {
"type" : "script_exception",
"reason" : "runtime error",
"script_stack" : [
"org.elasticsearch.index.fielddata.ScriptDocValues$Dates.get(ScriptDocValues.java:160)",
"org.elasticsearch.index.fielddata.ScriptDocValues$Dates.getValue(ScriptDocValues.java:154)",
"(doc['service.serviceTypeEarliestAvailability.earliestAvailableDateTimeByType'].value.getMillis())",
" ^---- HERE"
],
"script" : "(doc['service.serviceTypeEarliestAvailability.earliestAvailableDateTimeByType'].value.getMillis())",
"lang" : "painless",
"position" : {
"offset" : 79,
"start" : 0,
"end" : 98
},
"caused_by" : {
"type" : "illegal_state_exception",
"reason" : "A document doesn't have a value for a field! Use doc[<field>].size()==0 to check if a document is missing a field!"
}
}
}
]
},
"status" : 400
}
查询 2 的 ES 错误：
{
"error" : {
"root_cause" : [
{
"type" : "exception",
"reason" : "Missing value for field [service.serviceTypeEarliestAvailability.earliestAvailableDateTimeByType]"
}
],
"type" : "search_phase_execution_exception",
"reason" : "all shards failed",
"phase" : "query",
"grouped" : true,
"failed_shards" : [
{
"shard" : 0,
"index" : "doctor_idx",
"node" : "mvh5k24dQPqM-d7JVeNomQ",
"reason" : {
"type" : "exception",
"reason" : "Missing value for field [service.serviceTypeEarliestAvailability.earliestAvailableDateTimeByType]"
}
}
]
},
"status" : 500
}
我在ES里唯一的记录
{
"took" : 32,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "doctor_idx",
"_type" : "_doc",
"_id" : "xM20oH0Bmp1zsT0w8pQe",
"_score" : 1.0,
"_source" : {
"_class" : "com.insig.clinic_apps.services_server.booking.dao.DoctorSchema",
"id" : "xM20oH0Bmp1zsT0w8pQe",
"metadata" : {
"doctorId" : "xhnz2lGvXxelWyVekz82c2v6Srb2",
"fullName" : "Dave Insig Email Test",
"credentials" : [
"MD"
],
"languagesSpoken" : [
"EN",
"NOT_DEFINED"
],
"specialitiesServed" : [ ],
"city" : "VAUGHAN",
"provincesPermitted" : [ ],
"province" : "ON",
"country" : "CANADA"
},
"service" : {
"servicesMedium" : [
"IN_CLINIC",
"VIDEO",
"MESSAGING",
"PHONE"
],
"servicesTypeDuration" : [
{
"serviceType" : "Acne Symptoms",
"duration" : 5,
"servicesMedium" : [
"IN_CLINIC",
"MESSAGING",
"PHONE",
"VIDEO"
]
}
],
"serviceTypeEarliestAvailability" : [
{
"serviceType" : "Acne Symptoms",
"earliestAvailableDateTimeByType" : "2021-12-09T19:39:16",
"servicesMedium" : [
"IN_CLINIC",
"MESSAGING",
"PHONE",
"VIDEO"
]
}
],
"bufferTimeForNextAvailability" : 0
},
"earliestAvailableDateTime" : "2021-12-09T19:39:16",
"patientRating" : 4.384481,
"onTimeRating" : 3.171053
}
}
]
}
}
【问题讨论】：
-
您好，您能粘贴实际的错误日志，并提供完整的示例文档吗？它将有助于调试^^
-
@Paulo 看看
-
对于 Query1 ...您在错误中有一个解决方案建议，您似乎有一些文档对
earliestAvailableDateTimeByType没有价值。对于 Query2，我不确定。但我很想有一个完整的示例文档来帮助我尝试 -
我只添加了一个文档，并确保
earliestAvailableDateTimeByType在其中有价值。因此，它具有价值，但 ES 给了我这个错误。 IDK 为什么 -
@Paulo 我什至添加了 ES 的结果。看看吧。
标签： elasticsearch