我已经看了好几次，到目前为止还没有答案。我想将字符串日期转换为ISODate - 我不希望它转换为UTC或来自UTC，我只想将存储为字符串的日期值存储作为日期。
我不想要UTC，因为我想根据世界任何地方的时间（例如：12pm）查询和计算，我按小时，天，周和月进行求和，并比较多个数据国家根据当地时间。
目前我有一个日期作为字符串，我想用新名称添加到新文档中：
“transaction_date”：“$ object_raw_origin_data.register_sales.sale_date”
以下字符串的日期值显示为：
“sale_date”：“2018-03-13 20:05:46”
我希望它是：“transaction_date”：ISODate（“2018-03-13 20:05:46”）
日期和时间必须读取2018-03-13 20:05:46未转换为UTC。
谢谢，马特
原始数据JSON
{
"object_category" : "application",
"object_type" : "register-sales-24-months",
"object_origin" : "vend",
"tenant_uuid" : "00000000-0000-0009-9999-999999999999",
"party_uuid" : "8d519765-05d2-469f-ad35-d7a22fa9df2f",
"subscription_uuid" : "0",
"connection_uuid" : "6ed9bd79-d9c5-4296-a821-7e15b1c69e6c",
"status" : "",
"object_created" : ISODate("2018-03-15T21:40:57.158+0000"),
"object_raw_origin_data" : {
"pagination" : {
"results" : NumberInt(75964),
"page" : NumberInt(1),
"page_size" : NumberInt(200),
"pages" : NumberInt(380)
},
"register_sales" : {
"id" : "776a66f2-993c-b372-11e8-26f9d3c1bdde",
"source" : "USER",
"source_id" : "",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"market_id" : "3",
"customer_id" : "02d59481-b67d-11e5-f667-b08185e8f6d5",
"customer_name" : "",
"customer" : {
"id" : "02d59481-b67d-11e5-f667-b08185e8f6d5",
"name" : "",
"customer_code" : "WALKIN",
"customer_group_id" : "02d59481-b67d-11e5-f667-b08185e893f8",
"customer_group_name" : "All Customers",
"updated_at" : "2016-01-01 12:16:44",
"deleted_at" : "",
"balance" : "0",
"year_to_date" : "0",
"date_of_birth" : "",
"sex" : "",
"custom_field_1" : "",
"custom_field_2" : "",
"custom_field_3" : "",
"custom_field_4" : "",
"note" : "",
"contact" : {
}
},
"user_id" : "02d59481-b655-11e5-f667-dca974edc4ea",
"user_name" : "Alvaro Velosa",
"sale_date" : "2018-03-13 20:05:46",
"created_at" : "2018-03-13 20:06:00",
"updated_at" : "2018-03-13 20:06:00",
"total_price" : 4.5,
"total_cost" : 3.34,
"total_tax" : NumberInt(0),
"tax_name" : "No Tax",
"note" : "",
"status" : "CLOSED",
"short_code" : "wqgsgi",
"invoice_number" : "Masonic2108Temple",
"accounts_transaction_id" : "",
"return_for" : "",
"register_sale_products" : [
{
"id" : "776a66f2-993c-b372-11e8-26f9e92cb9bc",
"product_id" : "02dcd191-ae55-11e7-f130-9d4f4bcd91b1",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"sequence" : "0",
"handle" : "LAGERDRAUGHT300",
"sku" : "10287",
"name" : "LAGER DRAUGHT £3.00",
"quantity" : NumberInt(1),
"price" : 3.5,
"cost" : 2.74,
"price_set" : NumberInt(0),
"discount" : NumberInt(0),
"loyalty_value" : NumberInt(0),
"tax" : NumberInt(0),
"tax_id" : "02d59481-b67d-11e5-f667-b08185ec2871",
"tax_name" : "No Tax",
"tax_rate" : NumberInt(0),
"tax_total" : NumberInt(0),
"price_total" : 3.5,
"display_retail_price_tax_inclusive" : "0",
"status" : "CONFIRMED",
"attributes" : [
{
"name" : "line_note",
"value" : ""
}
]
},
{
"id" : "776a66f2-993c-b372-11e8-26f9e98104e0",
"product_id" : "02dcd191-ae55-11e7-f130-9d50e948a0b5",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"sequence" : "0",
"handle" : "SOFTDRINK",
"sku" : "10292",
"name" : "SOFT DRINK",
"quantity" : NumberInt(1),
"price" : NumberInt(1),
"cost" : 0.6,
"price_set" : NumberInt(0),
"discount" : NumberInt(0),
"loyalty_value" : NumberInt(0),
"tax" : NumberInt(0),
"tax_id" : "02d59481-b67d-11e5-f667-b08185ec2871",
"tax_name" : "No Tax",
"tax_rate" : NumberInt(0),
"tax_total" : NumberInt(0),
"price_total" : NumberInt(1),
"display_retail_price_tax_inclusive" : "0",
"status" : "CONFIRMED",
"attributes" : [
{
"name" : "line_note",
"value" : ""
}
]
}
],
"totals" : {
"total_tax" : NumberInt(0),
"total_price" : 4.5,
"total_payment" : 4.5,
"total_to_pay" : NumberInt(0)
},
"register_sale_payments" : [
{
"id" : "776a66f2-993c-b372-11e8-26f9eab2cb46",
"payment_type_id" : "1",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"retailer_payment_type_id" : "02d59481-b655-11e5-f667-b0a23bc0e7bc",
"name" : "Cash",
"label" : "Account Customer",
"payment_date" : "2018-03-13 20:05:46",
"amount" : NumberInt(10)
},
{
"id" : "776a66f2-993c-b372-11e8-26f9eab6b21a",
"payment_type_id" : "1",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"retailer_payment_type_id" : "02d59481-b655-11e5-f667-b0a23bc0e7bc",
"name" : "Cash",
"label" : "Account Customer",
"payment_date" : "2018-03-13 20:05:46",
"amount" : -5.5
}
]
}
}
}
答案 0 :(得分：0)
感谢@Saleem和@Krishna的帮助，但我尝试使用字符串中的$ conctr $ conctr来创建一个ISODate，但它还没有工作。
db.Vend_raw_transactions.aggregate(
[{
"$project": {
"object_origin": "$object_origin",
"company": "$party_uuid",
"connection": "$connection_uuid",
"object_creation_date": "$object_created",
// "transaction_date": "$object_raw_origin_data.register_sales.sale_date",
"transaction_date": {
"$dateFromString": {
"dateString": {
"$concat": [
"$substr": [ "$object_raw_origin_data.register_sales.sale_date", 0, 10 ],
"T",
"$substr": [ "$object_raw_origin_data.register_sales.sale_date", 11, 9]
]
}
}
},
"transaction_gross_value": {
"$add": [
"$object_raw_origin_data.register_sales.total_price",
"$object_raw_origin_data.register_sales.total_tax"
]
},
"transaction_net_value": "$object_raw_origin_data.register_sales.total_price",
"transaction_tax_value": "$object_raw_origin_data.register_sales.total_tax",
"transaction_cost_value": "$object_raw_origin_data.register_sales.total_cost",
"object_class": "goods-service-transaction",
"object_origin_category": "point-of-sale",
"object_type": "receipt",
"object_origin_type": "offline",
"transaction_reference": "$object_raw_origin_data.register_sales.invoice_number",
"transaction_status": "$object_raw_origin_data.register_sales.status",
"transaction_currency": "GBP",
"party_name": "$object_raw_origin_data.register_sales.customer.customer_name",
"party_identifier": "$object_raw_origin_data.register_sales.customer.customer_code",
"staff_identifier": "$object_raw_origin_data.register_sales.user_id",
"staff_name": "$object_raw_origin_data.register_sales.user_name",
"line_items" : {
"$map": {
"input": "$object_raw_origin_data.register_sales.register_sale_products",
"as" : "product",
"in": {"item_name": "$$product.name",
"item_system_id": "$$product.id",
"item_identifier": "$$product.sku",
"item_category" : "sales-revenue",
"item_quantity" : "$$product.quantity",
"item_net_unit_sale_value" : "$$product.price",
"item_net_unit_discount_value" : "$$product.discount",
"item_net_unit_member_value" : "$$product.loyalty_value",
"item_net_unit_cost_value" : "$$product.cost",
"item_unit_tax_value" : "$$product.tax",
"item_price_list_reference" : "$$product.price_set",
"item_total_sale_value" : "$$product.price_total",
"item_total_tax_value" : "$$product.tax_total"
}
}
}
}
}
// ,{"$out": "9SP_Source" }
])
我无法理解为什么这不起作用，似乎应该 - 我根据现有的字符串值创建一个新的字符串并在中间添加一个T但它没有＆＃39;识别$ DateFromString。感谢
错误消息
{ ＆＃34;消息＆＃34; ：＆＃34;无法识别的表达式＆＃39; $ dateFromString＆＃39;＆＃34;， ＆＃34;堆＆＃34; ：＆＃34; MongoError：无法识别的表达式＆＃39; $ dateFromString＆＃39;＆＃34; + ＆＃34;在queryCallback（C：\ Users \ mattl \ AppData \ Local \ Programs \ nosqlbooster4mongo \ resources \ app.asar \ node_modules \ mongodb-core \ lib \ cursor.js：223：25）＆＃34; + ＆＃34;在C：\ Users \ mattl \ AppData \ Local \ Programs \ nosqlbooster4mongo \ resources \ app.asar \ node_modules \ mongodb-core \ lib \ connection \ pool.js：541：18＆＃34; + ＆＃34;在_combinedTickCallback（内部/进程/ next_tick.js：131：7）＆＃34; + ＆＃34; at process._tickCallback（internal / process / next_tick.js：180：9）＆＃34;， ＆＃34;名称＆＃34; ：＆＃34; MongoError＆＃34;， ＆＃34; OK＆＃34; ：0， ＆＃34; ERRMSG＆＃34; ：＆＃34;无法识别的表达式＆＃39; $ dateFromString＆＃39;＆＃34;， ＆＃34;代码＆＃34; ：168， ＆＃34;代号＆＃34; ：＆＃34; InvalidPipelineOperator＆＃34; }
我设法使用以下脚本制作另一个字符串，但$ dateFromString无法识别
db.Vend_raw_transactions.aggregate(
[{
"$project": {
"origin_date": "$object_raw_origin_data.register_sales.sale_date",
"transaction_date": {
"$substr": [ "$object_raw_origin_data.register_sales.sale_date", 0, 10 ]
},
"transaction_time": {
"$substr": [ "$object_raw_origin_data.register_sales.sale_date", 11, 9 ]
},
"new_string_date": {
"$concat" :[
{"$substr": [ "$object_raw_origin_data.register_sales.sale_date", 0, 10 ]},
"T",
{"$substr": [ "$object_raw_origin_data.register_sales.sale_date", 11, 9 ]}]
}
}
}
])
由于