elasticsearch" />
elasticsearch,Javascript,Node.js,Mongodb,Javascript Elasticsearch与MongoDB聚合-与示例的开发比较
我正在NodeJS平台中将MongoDB查询转换为Elasticsearch。在开发过程中，我在Elasticsearch查询中对数据进行分组和筛选（获取嵌套对象，如hits.hits.\u source）时遇到了一些困难，就像我们在MongoDB查询中所做的那样 例如：-Javascript Elasticsearch与MongoDB聚合-与示例的开发比较,javascript,node.js,mongodb,
elasticsearch,Javascript,Node.js,Mongodb,
UserModel.aggregate([
{
$match: {
uId: req.body.uId, timestamp: { $gte: req.body.date, $lte: new Date() }
},
},
{
$group: {
_id: "$eId",
location: {
$push: {
time: "$timestamp", lat: "$lat"
}
},
timestamp: {
$push: "$timestamp"
},
testId: { $first: "$testId" },
}
},
{
$project: {
eId: 1, location: 1, testId: 1, max: { $max: "$timestamp" }
}
},
{ $unwind: { path: "$location", preserveNullAndEmptyArrays: true } },
{
$redact: {
$cond: {
if: { $eq: ["$location.time", "$max"] },
then: "$$DESCEND",
else: "$$PRUNE"
}
}
},
{
$project: {
eId: 1, latitude: "$location.lat", testId: 1
}
},
]).exec(function (err, result) {
console.log(result)
});
{
"timestamp": "2019-10-08T:02:50:15.54Z",
"status" : 1,
"eId": "5d5d7ce0c89852e7bad4a407",
"location": [
2.000,
34.5664111801
],
"zId": "5d5d7ce0c89852e7bad4a4ef"
},
{
"timestamp": "2019-10-09T:02:50:15.54Z",
"status" : 1,
"eId": "5d5d7ce0c89852e7bad4a408",
"location": [
2.100,
35.5664111801
],
"zId": "5d5d7ce0c89852e7bad4a4ef"
},
{
"timestamp": "2019-10-09T:03:50:15.54Z",
"status" : 1,
"eId": "5d5d7ce0c89852e7bad4a407",
"location": [
4.100,
35.5664111801
],
"zId": "5d5d7ce0c89852e7bad4a4ef"
},
{
"timestamp": "2019-10-09T:03:40:15.54Z",
"status" : 1,
"eId": "5d5d7ce0c89852e7bad4a407",
"location": [
2.100,
35.5664111801
],
"zId": "5d5d7ce0c89852e7bad4a4e1"
},
{
"timestamp": "2019-10-10T:03:40:15.54Z",
"status" : 1,
"eId": "5d5d7ce0c89852e7bad4a407",
"location": [
3.100,
35.5664111801
],
"zId": "5d5d7ce0c89852e7bad4a4e1"
}
[
{
"_id": "5d5d7ce0c89852e7bad4a407",
"max": "2019-10-10T:03:40:15.54Z", // max timestamp
"zId": [
"5d5d7ce0c89852e7bad4a4e1",
"5d5d7ce0c89852e7bad4a4ef"
]
},
{
"_id": "5d5d7ce0c89852e7bad4a408",
"max": "2019-10-09T:02:50:15.54Z",
"zId": [
"5d5d7ce0c89852e7bad4a4ef"
]
}, // ...etc
]
谢谢你的文件。遗憾的是，我不知道如何仅检索具有max timestamp字段值的文档 下面的查询将允许您按
statuseId{
"size": 0,
"query": {
"term": {
"status": 1
}
},
"aggregations": {
"eId_group": {
"terms": {
"field": "eId"
},
"aggregations": {
"max_timestamp": {
"max": {
"field": "timestamp"
}
}
}
}
}
}
eId{
"size": 0,
"query": {
"term": {
"status": 1
}
},
"aggregations": {
"eId_group": {
"terms": {
"field": "eId"
},
"aggregations": {
"max_timestamp": {
"max": {
"field": "timestamp"
}
},
"top_documents": {
"top_hits": {
"size": 20,
"sort": { "timestamp": "desc"}
}
}
}
}
}
}
PUT /test_index
{
"mappings": {
"properties": {
"timestamp": {
"type": "date"
},
"eId": {
"type": "keyword"
},
"zId": {
"type": "keyword"
},
"status": {
"type": "keyword"
}
}
}
}
谢谢你的文件。遗憾的是，我不知道如何仅检索具有max timestamp字段值的文档 下面的查询将允许您按
statuseId{
"size": 0,
"query": {
"term": {
"status": 1
}
},
"aggregations": {
"eId_group": {
"terms": {
"field": "eId"
},
"aggregations": {
"max_timestamp": {
"max": {
"field": "timestamp"
}
}
}
}
}
}
eId{
"size": 0,
"query": {
"term": {
"status": 1
}
},
"aggregations": {
"eId_group": {
"terms": {
"field": "eId"
},
"aggregations": {
"max_timestamp": {
"max": {
"field": "timestamp"
}
},
"top_documents": {
"top_hits": {
"size": 20,
"sort": { "timestamp": "desc"}
}
}
}
}
}
}
PUT /test_index
{
"mappings": {
"properties": {
"timestamp": {
"type": "date"
},
"eId": {
"type": "keyword"
},
"zId": {
"type": "keyword"
},
"status": {
"type": "keyword"
}
}
}
}
我对mongoDb了解不够，无法回答您的问题，但如果您能提供一套文档和预期结果，我可以尝试给您一个答案。@Pierre NicolasMougel谢谢。将添加文档。@Pierre NicolasMougel数据已添加。您能帮助我吗？我对mongoDb了解不够，无法回答您的问题，但如果您能提供一套文档和预期结果，我可以尝试给您一个答案。@Pierre NicolasMougel谢谢。将添加文档。@Pierre NicolasMougel数据已添加。你能帮我吗？这个查询将在正文中：{}对吗？而且，我也收到了错误，因为默认情况下，文本字段上禁用了[Ilawk_argument_exception]字段数据。在[employeeId]上设置fielddata=true，以便通过取消反转索引将fielddata加载到内存中。请注意，这可能会占用大量内存。或者使用关键字字段。注意：-添加了所有字段的关键字。但是仍然会出现一些错误。是的，您应该对要执行聚合的字段使用
关键字关键字