“文档” 菜单
文档首页
/
MongoDB Manual
/ /

SQL 聚合映射图表

在此页面上

  • 举例

聚合管道允许 MongoDB 提供与 SQL 中许多常见数据聚合操作相对应的原生聚合功能。

下表简要说明了常见的 SQL 聚合术语、函数和概念以及相应的 MongoDB 聚合操作符

SQL 术语、函数和概念
MongoDB 聚合操作符
WHERE
GROUP BY
HAVING
SELECT
ORDER BY
限制
SUM()
COUNT()
连接 (JOIN)
SELECT INTO NEW_TABLE
MERGE INTO TABLE
UNION ALL

有关所有聚合管道和表达式运算符的列表,请参阅:

提示

另请参阅:

下表提供 SQL 聚合语句和相应 MongoDB 语句的快速参考。此表中的示例假定存在以下条件:

  • SQL 示例假设有两个ordersorder_lineitem,它们通过 order_lineitem.order_idorders.id 列连接。

  • MongoDB 示例假定存在一个集合 orders,其中包含以下原型的文档:

    {
    cust_id: "abc123",
    ord_date: ISODate("2012-11-02T17:04:11.102Z"),
    status: 'A',
    price: 50,
    items: [ { sku: "xxx", qty: 25, price: 1 },
    { sku: "yyy", qty: 25, price: 1 } ]
    }
SQL 示例
MongoDB 示例
说明
SELECT COUNT(*) AS count
FROM orders
db.orders.aggregate( [
{
$group: {
_id: null,
count: { $sum: 1 }
}
}
] )
计算以下位置所有记录的数量: orders
SELECT SUM(price) AS total
FROM orders
db.orders.aggregate( [
{
$group: {
_id: null,
total: { $sum: "$price" }
}
}
] )
orders 中的 price 字段求和
SELECT cust_id,
SUM(price) AS total
FROM orders
GROUP BY cust_id
db.orders.aggregate( [
{
$group: {
_id: "$cust_id",
total: { $sum: "$price" }
}
}
] )
对于每个唯一的 cust_id,对 price 字段求和。
SELECT cust_id,
SUM(price) AS total
FROM orders
GROUP BY cust_id
ORDER BY total
db.orders.aggregate( [
{
$group: {
_id: "$cust_id",
total: { $sum: "$price" }
}
},
{ $sort: { total: 1 } }
] )
对于每个唯一 cust_id,对 price 字段求和,且结果按总和排序。
SELECT cust_id,
ord_date,
SUM(price) AS total
FROM orders
GROUP BY cust_id,
ord_date
db.orders.aggregate( [
{
$group: {
_id: {
cust_id: "$cust_id",
ord_date: { $dateToString: {
format: "%Y-%m-%d",
date: "$ord_date"
}}
},
total: { $sum: "$price" }
}
}
] )
对于每个唯一的 cust_idord_date 分组,对 price 字段求和。不包括日期的时间部分。
SELECT cust_id,
count(*)
FROM orders
GROUP BY cust_id
HAVING count(*) > 1
db.orders.aggregate( [
{
$group: {
_id: "$cust_id",
count: { $sum: 1 }
}
},
{ $match: { count: { $gt: 1 } } }
] )
对于具有多条记录的 cust_id,返回 cust_id 和相应的记录数。
SELECT cust_id,
ord_date,
SUM(price) AS total
FROM orders
GROUP BY cust_id,
ord_date
HAVING total > 250
db.orders.aggregate( [
{
$group: {
_id: {
cust_id: "$cust_id",
ord_date: { $dateToString: {
format: "%Y-%m-%d",
date: "$ord_date"
}}
},
total: { $sum: "$price" }
}
},
{ $match: { total: { $gt: 250 } } }
] )
对于每个唯一的 cust_idord_date 分组,对 price 字段求和并仅在总和大于 250 的情况下返回结果。不包括日期的时间部分。
SELECT cust_id,
SUM(price) as total
FROM orders
WHERE status = 'A'
GROUP BY cust_id
db.orders.aggregate( [
{ $match: { status: 'A' } },
{
$group: {
_id: "$cust_id",
total: { $sum: "$price" }
}
}
] )
对于状态为 A 的每个唯一的 cust_id,对 price 字段求和。
SELECT cust_id,
SUM(price) as total
FROM orders
WHERE status = 'A'
GROUP BY cust_id
HAVING total > 250
db.orders.aggregate( [
{ $match: { status: 'A' } },
{
$group: {
_id: "$cust_id",
total: { $sum: "$price" }
}
},
{ $match: { total: { $gt: 250 } } }
] )
对状态为 A 的每个唯一 cust_id,求 price 字段的总和,仅当总和大于 250 时才会返回。
SELECT cust_id,
SUM(li.qty) as qty
FROM orders o,
order_lineitem li
WHERE li.order_id = o.id
GROUP BY cust_id
db.orders.aggregate( [
{ $unwind: "$items" },
{
$group: {
_id: "$cust_id",
qty: { $sum: "$items.qty" }
}
}
] )
对于每个唯一的 cust_id,将与订单关联的相应订单项 qty 字段相加求和。
SELECT COUNT(*)
FROM (SELECT cust_id,
ord_date
FROM orders
GROUP BY cust_id,
ord_date)
as DerivedTable
db.orders.aggregate( [
{
$group: {
_id: {
cust_id: "$cust_id",
ord_date: { $dateToString: {
format: "%Y-%m-%d",
date: "$ord_date"
}}
}
}
},
{
$group: {
_id: null,
count: { $sum: 1 }
}
}
] )
计算不同 cust_idord_date 分组的数量。不包括日期的时间部分。
← 聚合表达式中的变量

在此页面上