convert dplyr join syntax into pure data.table syntax

Question

I am learning data.table. I have difficulty converting the dplyr join syntax. Can you please recommend the data.table equivalence for the following test cases?

Answer 1

setkey(dtOrder, ProductID)

(1-2)

# this will be literally what you wrote

dtProduct[dtOrder,
          list(OrderID, ProductID, ProductName, Qty, Price, ExtPrice=Qty*Price),
          nomatch = 0 # or omit this to get (2)
         ]

# but I think you'd be better off with this
dtProduct[dtOrder][, ExtPrice := Qty*Price][]

(3)

# you can again take the literal direction:
dtProduct[dtOrder][!is.na(ProductName)][,
          list(OrderID, ProductID, ProductName, Qty)]

# but again I think you'd be better off with
dtOrder[!dtProduct]

(4-5)

dtProduct[dtOrder, nomatch = 0][,
          list(OrderCount=.N, TotalQty=sum(Qty), TotalSales=sum(Qty*Price)),
          by = list(ProductID, ProductName)][
          order(-TotalSales)]