问题
By the docs, it seems that in order to filter all users that are 30 years old OR 40 years old, I can do this (with python):
r.table("users").filter((r.row["age"].eq(30)) | (r.row["age"].eq(40))).run(conn)
Say I have a list based on input / request: [12, 14, 18, 88, 33 ...], how do I filter all the users that are in the age of one of the elements in the list above by iterating it (and not doing it hard coded)?
回答1:
That's one way to do it
valid_ages = [12, 14, 18, 88, 33]
r.table("users").filter(lambda user:
r.expr(valid_ages).contains(user["age"])
).run(connection)
If you were using an index and get_all, you could do
r.table("users").get_all(*valid_ages, index="age").run(connection)
(You need to create the index age before that)
来源：https://stackoverflow.com/questions/23900791/rethinkdb-multiple-comparisons-filtering