[英]How to combine multiple pyspark sql queries to the same table into one query
[英]How to combine multiple queries into one query with MongoDB?
给定 3 collections 包含格式
collection = {
"Link":link,
"foodList":foodItems
}
我试图通过将三个不同的链接传递给我的 3 collections 来检索 3 个食物列表,例如
redFoods = collection1.find(redLink)
blueFoods = collection2.find(blueLink)
greenFoods = collection3.find(greenLink)
在哪里
redFoods = [red1, red2, red3, ... , redN]
blueFoods = [blue1, blue2, blue3, ... , blueN]
greenFoods = [green1, green2, green3, ... , greenN]
然后,我想将 redFoods、blueFoods 和 greenFoods 组合为一个列表,将食物替换为:
[red1, blue1, green1, red2, blue2, green2, red3, blue3, ... , redN, blueN, greenN]
如何通过 MongoDB 在一个查询步骤中执行此操作?
到目前为止,我已经尝试过了,但这似乎不起作用:
redLink = "meat"
blueLink = "fruit"
greenLink = "veggies"
shoesList = redFoods.aggregate([
{
'$match': {
'Link': {
redLink
}
}
}, {
'$unionWith': {
'coll': 'blueFoods',
'pipeline': [
{
'$match': {
'Link': {
blueLink
}
}
}
]
}
}, {
'$unionWith': {
'coll': 'greenFoods',
'pipeline': [
{
'$match': {
'Link': {
greenLink
}
}
}
]
}
}])
也许与:
{
'$match': {
$or: [
{ 'Link': redLink },
{ 'Link': blueLink }
]
}
}
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.