给出一组modified
条记录和一组original
条记录。我希望能够编写一个查询,从本质上给我从original
“集合”到modified
“集合”的集合差异。
因此,给定了original
和modified
这两个集合:
{ "_id" : 1, "set": "original", "key" : "foo", "element" : "bar" }
{ "_id" : 2, "set": "original", "key" : "bar", "element" : "old" }
{ "_id" : 3, "set": "original", "key" : "qux", "element" : "abc" } # Deleted
{ "_id" : 4, "set": "modified", "key" : "foo", "element" : "bar" } # Unchanged
{ "_id" : 5, "set": "modified", "key" : "bar", "element" : "new" } # Changed
{ "_id" : 6, "set": "modified", "key" : "baz", "element" : "bar" } # Created
我想从差异查询中获得某种结果,它们看起来像是一组可移动的文档,例如:
{ "_id" : 3, "deleted": True}
{ "_id" : 5, "changed": True}
{ "_id" : 6, "created": True}
或更不理想(只是因为它不具备cursor
功能):
{
"deleted": [3],
"changed": [5],
"created": [6]
}
我不限于结果格式,而只是想弄清楚如何进行此计算,并想证明我在寻找什么。
我看到Mongo具有$setDifference
功能,但是在解决问题时遇到了困难。
答案 0 :(得分:1)
您可以使用以下汇总:
db.col.aggregate([
{
$group: {
_id: "$key",
docs: { $push: "$$ROOT" },
lastId: { $last: "$_id" }
}
},
{
$project: {
_id: 1,
lastId: 1,
original: { $arrayElemAt: [ { $filter: { input: "$docs", as: "d", cond: { $eq: [ "$$d.set", "original" ] } } } , 0 ] },
modified: { $arrayElemAt: [ { $filter: { input: "$docs", as: "d", cond: { $eq: [ "$$d.set", "modified" ] } } } , 0 ] }
}
},
{
$project: {
_id: 1,
lastId: 1,
state: {
$switch: {
branches: [
{ case: { $eq: [ "$original", undefined ] }, then: "created" },
{ case: { $eq: [ "$modified", undefined ] }, then: "deleted" },
{ case: { $ne: [ "$modified.element", "$original.element" ] }, then: "changed" }
],
default: "notModified"
}
}
}
},
{
$group: {
_id: "$state",
ids: { $push: "$lastId" }
}
},
{
$match: {
_id: { $ne: "notModified" }
}
},
{
$group: {
_id: null,
stats: { $push: { k: "$_id", v: "$ids" } }
}
},
{
$replaceRoot: {
newRoot: {
$arrayToObject: "$stats"
}
}
}
])
最初,您需要将$group与$filter结合使用,以获取每个modified
的{{1}}和original
字段。然后,您可以使用$switch根据这两个字段确定状态。最终,您可以再次key
(通过此$group
),并将$arrayToObject与$replaceRoot运算符一起使用,以根据检测到的状态动态获取密钥。最终结果:
state
编辑:或者,您可以使用以下聚合方式每个键获取单个文档:
{ "deleted" : [ 3 ], "changed" : [ 5 ], "created" : [ 6 ] }
输出:
db.col.aggregate([
{
$group: {
_id: "$key",
docs: { $push: "$$ROOT" },
lastId: { $last: "$_id" }
}
},
{
$project: {
_id: 1,
lastId: 1,
original: { $arrayElemAt: [ { $filter: { input: "$docs", as: "d", cond: { $eq: [ "$$d.set", "original" ] } } } , 0 ] },
modified: { $arrayElemAt: [ { $filter: { input: "$docs", as: "d", cond: { $eq: [ "$$d.set", "modified" ] } } } , 0 ] }
}
},
{
$project: {
_id: 1,
lastId: 1,
state: {
$switch: {
branches: [
{ case: { $eq: [ "$original", undefined ] }, then: "created" },
{ case: { $eq: [ "$modified", undefined ] }, then: "deleted" },
{ case: { $ne: [ "$modified.element", "$original.element" ] }, then: "changed" }
],
default: "notModified"
}
}
}
},
{
$match: {
state: { $ne: "notModified" }
}
},
{
$project: {
_id: "$lastId",
state: 1
}
}
])