仅在满足条件时填充
Populate Only When Conditions Are Met
我有一个 mongodb 数据库，我将 mongoose 与 nodejs 结合使用。
只有当我有字段 "temtussvinculado=true".
时，我才需要来自下一个查询的 return 数据填充 "tabela_tuss"
这是我正在做的事情：
ConvProced.find({'convenioId':new ObjectId(req.params.id)})
.populate('convenioId')
.populate({
path:'procedId',
populate:{
path:'tabela_tuss',
match: { 'procedId.temtussvinculado': true}
}
})
.exec( (err,data) => {
callback(err,data,res)
})
我的问题是我与 "procedId.temtussvinculado:true" 的匹配没有效果，并且 "tabela_tuss" 从未被填充。
我做错了什么？
这是我的架构：
////
var conveniosSchema = new mongoose.Schema({
nome: {type: String, unique:true},
ativo: {type: Boolean}
});
module.exports = mongoose.model('Convenio', conveniosSchema,'convenios' );
////
////
const agProcedimentosSchema = new mongoose.Schema({
ativo:{type:Boolean},
temtussvinculado:{type:Boolean},
tabela_tuss:{type:mongoose.Schema.Types.ObjectId, ref:'Tuss_22'}
});
module.exports = mongoose.model('Ag_procedimento', agProcedimentosSchema,'ag_procedimentos' );
///
////
const tuss_22Schema = new mongoose.Schema({
codigo: {type: String, unique:true},
descricao:{type: String},
tabela:{type: String}
});
module.exports = mongoose.model('Tuss_22', tuss_22Schema,'tuss_22' );
////
//../models/convenioprocedimento
var conveniosProcedsSchema = new mongoose.Schema({
convenioId:{type:mongoose.Schema.Types.ObjectId, ref:'Convenio'},
procedId:{type:mongoose.Schema.Types.ObjectId, ref:'Ag_procedimento'},
valor_particular:{type:Number},
valor_convenio:{type:Number},
});
module.exports = mongoose.model('ConvenioProcedimento', conveniosProcedsSchema,'conveniosprocedimentos' );
//my query:
const ConvProced = require('../models/convenioprocedimento');
ConvProced.find({'convenioId':new ObjectId(req.params.id)})
.populate('convenioId')
.populate({
path:'procedId',
populate:{
path:'tabela_tuss',
match: { 'procedId.temtussvinculado': true}
}
})
.exec( (err,data) => {
callback(err,data,res)
})
你在这里实际问的是 "Only populate where a condition within the data says to do so"，这实际上不是 "directly" 支持的 .populate() 操作或使用 "nested populate" 语法。
因此，如果您想 "conditions" 对哪些项目实际填充或不填充，则必须处理填充调用 "manually"。
你的情况的基本前提是你需要检查你需要从 "initial" 顶级 .populate() 调用中获得的值，然后 "only" 调用"inner" 在给定条件实际允许时填充。
所以你的代码应该看起来像这样使用 "Promises" 使用 Promise.all() where you basically "loop" or .map() each query result and test the proceedid.temtussvinculado to see if it is true/false, and where true we actually issue a Model.populate() 调用，否则只是 return 当前状态的数据：
ConvProced.find({'convenioId':new ObjectId(req.params.id)})
.populate('convenioId procedId')
.exec()
.then(data =>
Promise.all(
data.map( d =>
( d.proceedid.temtussvinculado )
? mongoose.model('Tuss_22').populate(d,{ path: 'proceedId.tabela_tuss' })
: d
)
)
)
)
// Populated conditionally
.then( data =>
// Do something with data
)
.catch(err => console.error(err)); // or something else with error
除了'Promises'，还有不同的选项可用，但它是无依赖选项。其他情况，例如 async.map 做同样的事情，但如果您还没有它，它是一个额外的依赖项：
ConvProced.find({'convenioId':new ObjectId(req.params.id)})
.populate('convenioId procedId')
.exec((err,data) => {
if (err) throw err;
async.map(data,(d,callback) =>
( d.proceedid.temtussvinculado )
? mongoose.model('Tuss_22').populate(d,{ path: 'proceedId.tabela_tuss' },callback)
: callback(null,d)
(err,data) => {
if (err) throw err; // or something
// Conditionally populated
}
)
})
还用一个完整的工作示例进行了演示，这实际上比您需要做的要复杂一些，因为 "condition" 在这个示例中嵌套在另一个数组中：
const async = require('async'),
mongoose = require('mongoose'),
Schema = mongoose.Schema;
mongoose.Promise = global.Promise;
mongoose.set('debug',true);
mongoose.connect('mongodb://localhost/test');
const subInnerSchema = new Schema({
label: String
});
const innerSchema = new Schema({
name: String,
populate: Boolean,
subs: [{ type: Schema.Types.ObjectId, ref: 'Sub' }]
});
const outerSchema = new Schema({
title: String,
inners: [{ type: Schema.Types.ObjectId, ref: 'Inner' }]
});
const Sub = mongoose.model('Sub', subInnerSchema);
const Inner = mongoose.model('Inner', innerSchema);
const Outer = mongoose.model('Outer', outerSchema);
function log(data) {
console.log(JSON.stringify(data, undefined, 2))
}
async.series(
[
// Clean data
(callback) =>
async.each(mongoose.models,(model,callback) =>
model.remove({},callback),callback),
// Insert some data
(callback) =>
async.waterfall(
[
(callback) =>
Sub.create([1,2,3,4].map( label => ({ label })),callback),
(subs,callback) =>
Inner.create(
[0,2].map(x => subs.slice(x,x+2))
.map((el,i) => ({
name: i+i,
populate: i == 1,
subs: el
})),
callback
),
(inners,callback) =>
Outer.create(
inners.map((inner,i) => ({
title: i+1,
inners: [inner]
})),
callback
),
],
callback
),
// Conditional populate async.map version
(callback) =>
Outer.find().populate('inners').exec((err,outers) => {
if (err) callback(err);
async.map(
outers,
(outer,callback) =>
async.map(
outer.inners,
(inner,callback) =>
(inner.populate)
? Inner.populate(inner,{ path: 'subs' },callback)
: callback(null,inner),
(err,inners) => {
if (err) callback(err);
outer.inners = inners
callback(null,outer);
}
),
(err,outers) => {
if (err) callback(err);
log(outers);
callback();
}
);
}),
// Conditional populate Promise
(callback) =>
Outer.find().populate('inners').exec()
.then(outers =>
Promise.all(
outers.map( outer =>
new Promise((resolve,reject) => {
Promise.all(
outer.inners.map( inner =>
(inner.populate)
? Inner.populate(inner,{ path: 'subs' })
: inner
)
).then(inners => {
outer.inners = inners;
resolve(outer)
})
.catch(reject)
})
)
)
)
.then(outers => {
log(outers);
callback();
})
.catch(err => callback(err))
],
(err) => {
if (err) throw err;
mongoose.disconnect();
}
);
这会产生显示 "conditional" 选择的输出，当然可以使用任何一种方法：
Mongoose: subs.remove({}, {})
Mongoose: inners.remove({}, {})
Mongoose: outers.remove({}, {})
Mongoose: subs.insert({ label: '1', _id: ObjectId("5961830256bf9e2d0fcf13b3"), __v: 0 })
Mongoose: subs.insert({ label: '2', _id: ObjectId("5961830256bf9e2d0fcf13b4"), __v: 0 })
Mongoose: subs.insert({ label: '3', _id: ObjectId("5961830256bf9e2d0fcf13b5"), __v: 0 })
Mongoose: subs.insert({ label: '4', _id: ObjectId("5961830256bf9e2d0fcf13b6"), __v: 0 })
Mongoose: inners.insert({ name: '0', populate: false, _id: ObjectId("5961830256bf9e2d0fcf13b7"), subs: [ ObjectId("5961830256bf9e2d0fcf13b3"), ObjectId("5961830256bf9e2d0fcf13b4") ], __v: 0 })
Mongoose: inners.insert({ name: '2', populate: true, _id: ObjectId("5961830256bf9e2d0fcf13b8"), subs: [ ObjectId("5961830256bf9e2d0fcf13b5"), ObjectId("5961830256bf9e2d0fcf13b6") ], __v: 0 })
Mongoose: outers.insert({ title: '1', _id: ObjectId("5961830256bf9e2d0fcf13b9"), inners: [ ObjectId("5961830256bf9e2d0fcf13b7") ], __v: 0 })
Mongoose: outers.insert({ title: '2', _id: ObjectId("5961830256bf9e2d0fcf13ba"), inners: [ ObjectId("5961830256bf9e2d0fcf13b8") ], __v: 0 })
Mongoose: outers.find({}, { fields: {} })
Mongoose: inners.find({ _id: { '$in': [ ObjectId("5961830256bf9e2d0fcf13b7"), ObjectId("5961830256bf9e2d0fcf13b8") ] } }, { fields: {} })
Mongoose: subs.find({ _id: { '$in': [ ObjectId("5961830256bf9e2d0fcf13b5"), ObjectId("5961830256bf9e2d0fcf13b6") ] } }, { fields: {} })
[
{
"_id": "5961830256bf9e2d0fcf13b9",
"title": "1",
"__v": 0,
"inners": [
{
"_id": "5961830256bf9e2d0fcf13b7",
"name": "0",
"populate": false,
"__v": 0,
"subs": [
"5961830256bf9e2d0fcf13b3",
"5961830256bf9e2d0fcf13b4"
]
}
]
},
{
"_id": "5961830256bf9e2d0fcf13ba",
"title": "2",
"__v": 0,
"inners": [
{
"_id": "5961830256bf9e2d0fcf13b8",
"name": "2",
"populate": true,
"__v": 0,
"subs": [
{
"_id": "5961830256bf9e2d0fcf13b5",
"label": "3",
"__v": 0
},
{
"_id": "5961830256bf9e2d0fcf13b6",
"label": "4",
"__v": 0
}
]
}
]
}
]
Mongoose: outers.find({}, { fields: {} })
Mongoose: inners.find({ _id: { '$in': [ ObjectId("5961830256bf9e2d0fcf13b7"), ObjectId("5961830256bf9e2d0fcf13b8") ] } }, { fields: {} })
Mongoose: subs.find({ _id: { '$in': [ ObjectId("5961830256bf9e2d0fcf13b5"), ObjectId("5961830256bf9e2d0fcf13b6") ] } }, { fields: {} })
[
{
"_id": "5961830256bf9e2d0fcf13b9",
"title": "1",
"__v": 0,
"inners": [
{
"_id": "5961830256bf9e2d0fcf13b7",
"name": "0",
"populate": false,
"__v": 0,
"subs": [
"5961830256bf9e2d0fcf13b3",
"5961830256bf9e2d0fcf13b4"
]
}
]
},
{
"_id": "5961830256bf9e2d0fcf13ba",
"title": "2",
"__v": 0,
"inners": [
{
"_id": "5961830256bf9e2d0fcf13b8",
"name": "2",
"populate": true,
"__v": 0,
"subs": [
{
"_id": "5961830256bf9e2d0fcf13b5",
"label": "3",
"__v": 0
},
{
"_id": "5961830256bf9e2d0fcf13b6",
"label": "4",
"__v": 0
}
]
}
]
}
]
所以你可以看到那里有一个 "boolean" 字段，正在测试以确定是执行 .populate() 还是只执行 return 纯数据相反。
我有一个 mongodb 数据库，我将 mongoose 与 nodejs 结合使用。
只有当我有字段 "temtussvinculado=true".
时，我才需要来自下一个查询的 return 数据填充 "tabela_tuss"这是我正在做的事情：
ConvProced.find({'convenioId':new ObjectId(req.params.id)})
.populate('convenioId')
.populate({
path:'procedId',
populate:{
path:'tabela_tuss',
match: { 'procedId.temtussvinculado': true}
}
})
.exec( (err,data) => {
callback(err,data,res)
})
我的问题是我与 "procedId.temtussvinculado:true" 的匹配没有效果，并且 "tabela_tuss" 从未被填充。
我做错了什么？
这是我的架构：
////
var conveniosSchema = new mongoose.Schema({
nome: {type: String, unique:true},
ativo: {type: Boolean}
});
module.exports = mongoose.model('Convenio', conveniosSchema,'convenios' );
////
////
const agProcedimentosSchema = new mongoose.Schema({
ativo:{type:Boolean},
temtussvinculado:{type:Boolean},
tabela_tuss:{type:mongoose.Schema.Types.ObjectId, ref:'Tuss_22'}
});
module.exports = mongoose.model('Ag_procedimento', agProcedimentosSchema,'ag_procedimentos' );
///
////
const tuss_22Schema = new mongoose.Schema({
codigo: {type: String, unique:true},
descricao:{type: String},
tabela:{type: String}
});
module.exports = mongoose.model('Tuss_22', tuss_22Schema,'tuss_22' );
////
//../models/convenioprocedimento
var conveniosProcedsSchema = new mongoose.Schema({
convenioId:{type:mongoose.Schema.Types.ObjectId, ref:'Convenio'},
procedId:{type:mongoose.Schema.Types.ObjectId, ref:'Ag_procedimento'},
valor_particular:{type:Number},
valor_convenio:{type:Number},
});
module.exports = mongoose.model('ConvenioProcedimento', conveniosProcedsSchema,'conveniosprocedimentos' );
//my query:
const ConvProced = require('../models/convenioprocedimento');
ConvProced.find({'convenioId':new ObjectId(req.params.id)})
.populate('convenioId')
.populate({
path:'procedId',
populate:{
path:'tabela_tuss',
match: { 'procedId.temtussvinculado': true}
}
})
.exec( (err,data) => {
callback(err,data,res)
})
你在这里实际问的是 "Only populate where a condition within the data says to do so"，这实际上不是 "directly" 支持的 .populate() 操作或使用 "nested populate" 语法。
因此，如果您想 "conditions" 对哪些项目实际填充或不填充，则必须处理填充调用 "manually"。
你的情况的基本前提是你需要检查你需要从 "initial" 顶级 .populate() 调用中获得的值，然后 "only" 调用"inner" 在给定条件实际允许时填充。
所以你的代码应该看起来像这样使用 "Promises" 使用 Promise.all() where you basically "loop" or .map() each query result and test the proceedid.temtussvinculado to see if it is true/false, and where true we actually issue a Model.populate() 调用，否则只是 return 当前状态的数据：
ConvProced.find({'convenioId':new ObjectId(req.params.id)})
.populate('convenioId procedId')
.exec()
.then(data =>
Promise.all(
data.map( d =>
( d.proceedid.temtussvinculado )
? mongoose.model('Tuss_22').populate(d,{ path: 'proceedId.tabela_tuss' })
: d
)
)
)
)
// Populated conditionally
.then( data =>
// Do something with data
)
.catch(err => console.error(err)); // or something else with error
除了'Promises'，还有不同的选项可用，但它是无依赖选项。其他情况，例如 async.map 做同样的事情，但如果您还没有它，它是一个额外的依赖项：
ConvProced.find({'convenioId':new ObjectId(req.params.id)})
.populate('convenioId procedId')
.exec((err,data) => {
if (err) throw err;
async.map(data,(d,callback) =>
( d.proceedid.temtussvinculado )
? mongoose.model('Tuss_22').populate(d,{ path: 'proceedId.tabela_tuss' },callback)
: callback(null,d)
(err,data) => {
if (err) throw err; // or something
// Conditionally populated
}
)
})
还用一个完整的工作示例进行了演示，这实际上比您需要做的要复杂一些，因为 "condition" 在这个示例中嵌套在另一个数组中：
const async = require('async'),
mongoose = require('mongoose'),
Schema = mongoose.Schema;
mongoose.Promise = global.Promise;
mongoose.set('debug',true);
mongoose.connect('mongodb://localhost/test');
const subInnerSchema = new Schema({
label: String
});
const innerSchema = new Schema({
name: String,
populate: Boolean,
subs: [{ type: Schema.Types.ObjectId, ref: 'Sub' }]
});
const outerSchema = new Schema({
title: String,
inners: [{ type: Schema.Types.ObjectId, ref: 'Inner' }]
});
const Sub = mongoose.model('Sub', subInnerSchema);
const Inner = mongoose.model('Inner', innerSchema);
const Outer = mongoose.model('Outer', outerSchema);
function log(data) {
console.log(JSON.stringify(data, undefined, 2))
}
async.series(
[
// Clean data
(callback) =>
async.each(mongoose.models,(model,callback) =>
model.remove({},callback),callback),
// Insert some data
(callback) =>
async.waterfall(
[
(callback) =>
Sub.create([1,2,3,4].map( label => ({ label })),callback),
(subs,callback) =>
Inner.create(
[0,2].map(x => subs.slice(x,x+2))
.map((el,i) => ({
name: i+i,
populate: i == 1,
subs: el
})),
callback
),
(inners,callback) =>
Outer.create(
inners.map((inner,i) => ({
title: i+1,
inners: [inner]
})),
callback
),
],
callback
),
// Conditional populate async.map version
(callback) =>
Outer.find().populate('inners').exec((err,outers) => {
if (err) callback(err);
async.map(
outers,
(outer,callback) =>
async.map(
outer.inners,
(inner,callback) =>
(inner.populate)
? Inner.populate(inner,{ path: 'subs' },callback)
: callback(null,inner),
(err,inners) => {
if (err) callback(err);
outer.inners = inners
callback(null,outer);
}
),
(err,outers) => {
if (err) callback(err);
log(outers);
callback();
}
);
}),
// Conditional populate Promise
(callback) =>
Outer.find().populate('inners').exec()
.then(outers =>
Promise.all(
outers.map( outer =>
new Promise((resolve,reject) => {
Promise.all(
outer.inners.map( inner =>
(inner.populate)
? Inner.populate(inner,{ path: 'subs' })
: inner
)
).then(inners => {
outer.inners = inners;
resolve(outer)
})
.catch(reject)
})
)
)
)
.then(outers => {
log(outers);
callback();
})
.catch(err => callback(err))
],
(err) => {
if (err) throw err;
mongoose.disconnect();
}
);
这会产生显示 "conditional" 选择的输出，当然可以使用任何一种方法：
Mongoose: subs.remove({}, {})
Mongoose: inners.remove({}, {})
Mongoose: outers.remove({}, {})
Mongoose: subs.insert({ label: '1', _id: ObjectId("5961830256bf9e2d0fcf13b3"), __v: 0 })
Mongoose: subs.insert({ label: '2', _id: ObjectId("5961830256bf9e2d0fcf13b4"), __v: 0 })
Mongoose: subs.insert({ label: '3', _id: ObjectId("5961830256bf9e2d0fcf13b5"), __v: 0 })
Mongoose: subs.insert({ label: '4', _id: ObjectId("5961830256bf9e2d0fcf13b6"), __v: 0 })
Mongoose: inners.insert({ name: '0', populate: false, _id: ObjectId("5961830256bf9e2d0fcf13b7"), subs: [ ObjectId("5961830256bf9e2d0fcf13b3"), ObjectId("5961830256bf9e2d0fcf13b4") ], __v: 0 })
Mongoose: inners.insert({ name: '2', populate: true, _id: ObjectId("5961830256bf9e2d0fcf13b8"), subs: [ ObjectId("5961830256bf9e2d0fcf13b5"), ObjectId("5961830256bf9e2d0fcf13b6") ], __v: 0 })
Mongoose: outers.insert({ title: '1', _id: ObjectId("5961830256bf9e2d0fcf13b9"), inners: [ ObjectId("5961830256bf9e2d0fcf13b7") ], __v: 0 })
Mongoose: outers.insert({ title: '2', _id: ObjectId("5961830256bf9e2d0fcf13ba"), inners: [ ObjectId("5961830256bf9e2d0fcf13b8") ], __v: 0 })
Mongoose: outers.find({}, { fields: {} })
Mongoose: inners.find({ _id: { '$in': [ ObjectId("5961830256bf9e2d0fcf13b7"), ObjectId("5961830256bf9e2d0fcf13b8") ] } }, { fields: {} })
Mongoose: subs.find({ _id: { '$in': [ ObjectId("5961830256bf9e2d0fcf13b5"), ObjectId("5961830256bf9e2d0fcf13b6") ] } }, { fields: {} })
[
{
"_id": "5961830256bf9e2d0fcf13b9",
"title": "1",
"__v": 0,
"inners": [
{
"_id": "5961830256bf9e2d0fcf13b7",
"name": "0",
"populate": false,
"__v": 0,
"subs": [
"5961830256bf9e2d0fcf13b3",
"5961830256bf9e2d0fcf13b4"
]
}
]
},
{
"_id": "5961830256bf9e2d0fcf13ba",
"title": "2",
"__v": 0,
"inners": [
{
"_id": "5961830256bf9e2d0fcf13b8",
"name": "2",
"populate": true,
"__v": 0,
"subs": [
{
"_id": "5961830256bf9e2d0fcf13b5",
"label": "3",
"__v": 0
},
{
"_id": "5961830256bf9e2d0fcf13b6",
"label": "4",
"__v": 0
}
]
}
]
}
]
Mongoose: outers.find({}, { fields: {} })
Mongoose: inners.find({ _id: { '$in': [ ObjectId("5961830256bf9e2d0fcf13b7"), ObjectId("5961830256bf9e2d0fcf13b8") ] } }, { fields: {} })
Mongoose: subs.find({ _id: { '$in': [ ObjectId("5961830256bf9e2d0fcf13b5"), ObjectId("5961830256bf9e2d0fcf13b6") ] } }, { fields: {} })
[
{
"_id": "5961830256bf9e2d0fcf13b9",
"title": "1",
"__v": 0,
"inners": [
{
"_id": "5961830256bf9e2d0fcf13b7",
"name": "0",
"populate": false,
"__v": 0,
"subs": [
"5961830256bf9e2d0fcf13b3",
"5961830256bf9e2d0fcf13b4"
]
}
]
},
{
"_id": "5961830256bf9e2d0fcf13ba",
"title": "2",
"__v": 0,
"inners": [
{
"_id": "5961830256bf9e2d0fcf13b8",
"name": "2",
"populate": true,
"__v": 0,
"subs": [
{
"_id": "5961830256bf9e2d0fcf13b5",
"label": "3",
"__v": 0
},
{
"_id": "5961830256bf9e2d0fcf13b6",
"label": "4",
"__v": 0
}
]
}
]
}
]
所以你可以看到那里有一个 "boolean" 字段，正在测试以确定是执行 .populate() 还是只执行 return 纯数据相反。