mongo 聚合添加日期和总和
mongo aggregation adding dates and sums
我觉得这可能真的很复杂。我知道这在 JS 中是可能的,方法是获取每条记录,确定月份差异,然后在 for 循环中将每个 model.month 增加 1,一旦满足月份差异,循环就会停止。我只是无法理解聚合的可能性。任何帮助都是救命稻草!
这是我的数据:
{
model: car
serial: bbbaaa
warranty_start_date: 03/05/2018
warranty_end_date: 06/16/2018
},
{
model: car
serial: jjjwww
warranty_start_date: 03/02/2018
warranty_end_date: 05/20/2018
},
{
model: truck
serial: tttvvv
warranty_start_date: 05/06/2016
warranty_end_date: 07/15/2016
}
这就是我想要的结局:
{
model: car
in_warranty_these_months: { 03/2018: 2, 04/2018: 2, 05/2018: 2, 06/2018: 1 }
},
{
model: truck
in_warranty_these_months: { 05/2016: 1, 06/2016: 1, 07/2016: 1 }
}
更新
在@mickl 的大力帮助下,
下面的代码就像一个魅力:
db.col.aggregate([
{
$addFields: {
monthsRange: {
$range: [
{ $add: [
{ $multiply: [12, {$year: "$warranty_start_date"}] },
{$month: "$warranty_start_date"} ]
},
{ $add: [
{ $multiply: [12, {$year: "$warranty_end_date"}] },
{ $add: [{$month: "$warranty_end_date"}, 1] } ]
}, 1]
}
}
},
{
$unwind: "$monthsRange"
},
{
$group: {
_id: { model: "$model", month: "$monthsRange" },
count: {$sum:1}
}
},
{
$group: {
_id: "$_id.model",
pairs: {
$push: {
k: {
$dateToString: {
format: "%m_%Y",
date: {
$dateFromParts: {
day: 1,
month: {
$cond: [{
$eq: [0, {
$mod: ["$_id.month", 12]
}]
}, {
$trunc: 12
}, {
$mod: ["$_id.month", 12]
}]
},
year: {
$cond: [{
$eq: [0, {
$mod: ["$_id.month", 12]
}]
}, {
$subtract: [{
$trunc: {
$divide: ["$_id.month", 12]
}
}, 1]
}, {
$trunc: {
$divide: ["$_id.month", 12]
}
}]
}
}
}
}
},
v: "$count"
}
}
}
},
{
$project: {
_id: 0,
model: "$_id",
in_warranty_these_months: {
$arrayToObject: "$pairs"
}
}
}
])
您可以使用以下聚合:
db.col.aggregate([
{
$addFields: {
monthsRange: {
$range: [
{ $add: [
{ $multiply: [12, {$year: "$warranty_start_date"}] },
{$month: "$warranty_start_date"} ]
},
{ $add: [
{ $multiply: [12, {$year: "$warranty_end_date"}] },
{ $add: [{$month: "$warranty_end_date"}, 1] } ]
}, 1]
}
}
},
{
$unwind: "$monthsRange"
},
{
$group: {
_id: { model: "$model", month: "$monthsRange" },
count: {$sum:1}
}
},
{
$group: {
_id: "$_id.model",
pairs: {
$push: {
k: {
$dateToString: {
format: "%m/%Y",
date: {
$dateFromParts: {
day: 1,
month: { $add: [{ $mod: [ "$_id.month", 12 ] }, 1] },
year: { $trunc: { $divide: [ "$_id.month", 12 ] } }
}
}
}
},
v: "$count"
}
}
}
},
{
$project: {
_id: 0,
model: "$_id",
in_warranty_these_months: {
$arrayToObject: "$pairs"
}
}
}
])
基本上,您必须根据日期生成范围(使用 $range)。为此,您可以根据以下公式将日期转换为数字:12 *year + month
。这将使您有可能使用 $range 为第一个文档生成四个值,为第二个文档生成三个值,等等。
然后你可以使用$group
来计算每个模型的每个月。
最后一步我们要使用$arrayToObject so we have to transform our data to objects with two properties, k
and v
. To do that we have to transform our numbers back to desired format using $dateFromParts and $dateToString
我觉得这可能真的很复杂。我知道这在 JS 中是可能的,方法是获取每条记录,确定月份差异,然后在 for 循环中将每个 model.month 增加 1,一旦满足月份差异,循环就会停止。我只是无法理解聚合的可能性。任何帮助都是救命稻草!
这是我的数据:
{
model: car
serial: bbbaaa
warranty_start_date: 03/05/2018
warranty_end_date: 06/16/2018
},
{
model: car
serial: jjjwww
warranty_start_date: 03/02/2018
warranty_end_date: 05/20/2018
},
{
model: truck
serial: tttvvv
warranty_start_date: 05/06/2016
warranty_end_date: 07/15/2016
}
这就是我想要的结局:
{
model: car
in_warranty_these_months: { 03/2018: 2, 04/2018: 2, 05/2018: 2, 06/2018: 1 }
},
{
model: truck
in_warranty_these_months: { 05/2016: 1, 06/2016: 1, 07/2016: 1 }
}
更新 在@mickl 的大力帮助下, 下面的代码就像一个魅力:
db.col.aggregate([
{
$addFields: {
monthsRange: {
$range: [
{ $add: [
{ $multiply: [12, {$year: "$warranty_start_date"}] },
{$month: "$warranty_start_date"} ]
},
{ $add: [
{ $multiply: [12, {$year: "$warranty_end_date"}] },
{ $add: [{$month: "$warranty_end_date"}, 1] } ]
}, 1]
}
}
},
{
$unwind: "$monthsRange"
},
{
$group: {
_id: { model: "$model", month: "$monthsRange" },
count: {$sum:1}
}
},
{
$group: {
_id: "$_id.model",
pairs: {
$push: {
k: {
$dateToString: {
format: "%m_%Y",
date: {
$dateFromParts: {
day: 1,
month: {
$cond: [{
$eq: [0, {
$mod: ["$_id.month", 12]
}]
}, {
$trunc: 12
}, {
$mod: ["$_id.month", 12]
}]
},
year: {
$cond: [{
$eq: [0, {
$mod: ["$_id.month", 12]
}]
}, {
$subtract: [{
$trunc: {
$divide: ["$_id.month", 12]
}
}, 1]
}, {
$trunc: {
$divide: ["$_id.month", 12]
}
}]
}
}
}
}
},
v: "$count"
}
}
}
},
{
$project: {
_id: 0,
model: "$_id",
in_warranty_these_months: {
$arrayToObject: "$pairs"
}
}
}
])
您可以使用以下聚合:
db.col.aggregate([
{
$addFields: {
monthsRange: {
$range: [
{ $add: [
{ $multiply: [12, {$year: "$warranty_start_date"}] },
{$month: "$warranty_start_date"} ]
},
{ $add: [
{ $multiply: [12, {$year: "$warranty_end_date"}] },
{ $add: [{$month: "$warranty_end_date"}, 1] } ]
}, 1]
}
}
},
{
$unwind: "$monthsRange"
},
{
$group: {
_id: { model: "$model", month: "$monthsRange" },
count: {$sum:1}
}
},
{
$group: {
_id: "$_id.model",
pairs: {
$push: {
k: {
$dateToString: {
format: "%m/%Y",
date: {
$dateFromParts: {
day: 1,
month: { $add: [{ $mod: [ "$_id.month", 12 ] }, 1] },
year: { $trunc: { $divide: [ "$_id.month", 12 ] } }
}
}
}
},
v: "$count"
}
}
}
},
{
$project: {
_id: 0,
model: "$_id",
in_warranty_these_months: {
$arrayToObject: "$pairs"
}
}
}
])
基本上,您必须根据日期生成范围(使用 $range)。为此,您可以根据以下公式将日期转换为数字:12 *year + month
。这将使您有可能使用 $range 为第一个文档生成四个值,为第二个文档生成三个值,等等。
然后你可以使用$group
来计算每个模型的每个月。
最后一步我们要使用$arrayToObject so we have to transform our data to objects with two properties, k
and v
. To do that we have to transform our numbers back to desired format using $dateFromParts and $dateToString