我的目标是按日期和星期几过滤我的记录（Mo = 1，Tue = 2，Thu = 3，...，Sun = 7）。在这种情况下，日期或工作日应匹配数组中的任何日期。或两者兼而有之。我是Elasticsearch的新手，在我的查询中似乎有很多错误。我记录了所有内容，据我所知，并希望获得一些有用的见解。提前谢谢。
当前映射
{
"index":{
"mappings":{
"entity":{
"_meta":{
"model":"AppBundle\\Entity\\Entity"
},
"properties":{
"subEntity":{
"properties":{
"date":{
"type":"date",
"format":"strict_date_optional_time||epoch_millis"
},
"days":{
"properties":{
"day":{
"type":"string"
}
}
}
}
}
}
}
}
}
}
当前记录
curl -XGET 'localhost:9200/index/_search?pretty=1'
{
"took" : 2,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 4,
"max_score" : 1.0,
"hits" : [ {
"_index" : "index",
"_type" : "entity",
"_id" : "1",
"_score" : 1.0,
"_source" : {
"subEntity" : [ {
"date" : "2016-09-20T00:00:00+02:00",
"days" : [ ]
}, {
"date" : "2016-09-21T00:00:00+02:00",
"days" : [ ]
}, {
"date" : "2016-09-22T00:00:00+02:00",
"days" : [ {
"day" : 4
}, {
"day" : 5
}, {
"day" : 6
} ]
}, {
"date" : "2016-09-20T00:00:00+02:00",
"days" : [ ]
} ]
}
},
[...]
}
}
当前请求
{
"query":{
"should":{
"filter":[ {
"range":{
"entity.subEntity.date":{
"gte":"2016-09-20",
"lte":"2016-09-21"
}
}
}, {
"term":{
"entity.subEntity.days.day": 2
}
} ]
}
}
}
MySQL等效
SELECT entity
FROM entity
LEFT JOIN subEntity ON (subEntity.entity_id = entity.id)
LEFT JOIN day ON (day.subEntity_id = subEntity.id)
WHERE subEntity.date BETWEEN 2016-09-20 AND 2016-09-21
OR day = 2
答案 0 :(得分：1)
如果要跨文档中的子对象的属性进行查询（文档可能包含此类子对象的集合），则需要将subEntity映射为nested type。在您的示例中，由于您只查找日期范围或与日期值匹配的文档，因此您可以使用object映射，但是如果您需要合并查询使用和操作，则需要nested类型映射。如果您需要这样做，那么映射为nested类型是有意义的。此外，由于日期是数字值，因此您应将其映射为byte。
{
"index":{
"mappings":{
"entity":{
"_meta":{
"model":"AppBundle\\Entity\\Entity"
},
"properties":{
"subEntity":{
"type": "nested",
"properties":{
"date":{
"type":"date",
"format":"strict_date_optional_time||epoch_millis"
},
"days":{
"properties":{
"day":{
"type":"byte"
}
}
}
}
}
}
}
}
}
}
现在subEntity被映射为nested类型，需要使用a nested query来查询它，因此查询变为
{
"query": {
"nested": {
"query": {
"bool": {
"should": [
{
"bool": {
"filter": [
{
"range": {
"subEntity.date": {
"gte": "2016-09-20",
"lte": "2016-09-21"
}
}
}
]
}
},
{
"bool": {
"filter": [
{
"terms": {
"subEntity.days.day": [
2
]
}
}
]
}
}
]
}
},
"path": "subEntity"
}
}
}
这两个查询都是bool过滤查询，因为我们不需要计算任何一个的相关性得分，我们只需要知道文档是否匹配，即简单的是/否答案。在bool过滤器中扭曲查询意味着查询在过滤器上下文中运行。
接下来，任一查询都可以匹配，因此我们将should子句添加到外部bool查询。
作为一个完整的例子：
创建索引和映射
PUT http://localhost:9200/entities?pretty=true
{
"settings": {
"index.number_of_replicas": 0,
"index.number_of_shards": 1
},
"mappings": {
"entity": {
"properties": {
"id": {
"type": "integer"
},
"subEntity": {
"type": "nested",
"properties": {
"date": {
"type": "date"
},
"days": {
"properties": {
"day": {
"type": "short"
}
},
"type": "object"
}
}
}
}
}
}
}
批量索引四个实体
POST http://localhost:9200/_bulk?pretty=true
{"index":{"_index":"entities","_type":"entity","_id":"1"}}
{"subEntity":{"date":"2016-09-19T05:00:00+00:00"}}
{"index":{"_index":"entities","_type":"entity","_id":"2"}}
{"subEntity":{"date":"2016-09-20T05:00:00+00:00"}}
{"index":{"_index":"entities","_type":"entity","_id":"3"}}
{"subEntity":{"date":"2016-09-18T18:00:00+00:00","days":[{"day":2},{"day":5}]}}
{"index":{"_index":"entities","_type":"entity","_id":"4"}}
{"subEntity":{"date":"2016-09-18T18:00:00+00:00","days":[{"day":3},{"day":4}]}}
发出上面的搜索查询
POST http://localhost:9200/entities/entity/_search?pretty=true
{
"query": {
"nested": {
"query": {
"bool": {
"should": [
{
"bool": {
"filter": [
{
"range": {
"subEntity.date": {
"gte": "2016-09-20",
"lte": "2016-09-21"
}
}
}
]
}
},
{
"bool": {
"filter": [
{
"terms": {
"subEntity.days.day": [
2
]
}
}
]
}
}
]
}
},
"path": "subEntity"
}
}
}
我们应该只返回带有ID 2和3的实体; id 2匹配日期，id 3匹配日
{
"took" : 4,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"failed" : 0
},
"hits" : {
"total" : 2,
"max_score" : 0.0,
"hits" : [ {
"_index" : "entities",
"_type" : "entity",
"_id" : "2",
"_score" : 0.0,
"_source" : {
"subEntity" : {
"date" : "2016-09-20T05:00:00+00:00"
}
}
}, {
"_index" : "entities",
"_type" : "entity",
"_id" : "3",
"_score" : 0.0,
"_source" : {
"subEntity" : {
"date" : "2016-09-18T18:00:00+00:00",
"days" : [ {
"day" : 2
}, {
"day" : 5
} ]
}
}
} ]
}
}
答案 1 :(得分：0)
您的解决方案可以使用“或”查询轻松实现，但现在在es 2.0.0以后“或”查询已被弃用。在使用或查询的原位，我们现在可以使用“bool”查询。示例查询如下所示
{
"query": {
"bool" : {
"should" : [
{
"term" : { "CREAT_DT": "2015-11-03T07:49:07.000Z" }
},
{
"term" : { "TableName": "dwd" }
}
],
"minimum_should_match" : 1,
"boost" : 1.0
}
}
}
有关其用途的更多详细信息，请参阅以下链接 https://www.elastic.co/guide/en/elasticsearch/reference/2.0/query-dsl-bool-query.html