您可以将其重新组织成更for_each
友好的对象列表并将其存储在本地helper_list
.
例如:
variable "bq_iam_role_bindings" {
default = {
"member1" = {
"dataset1" : ["role1","role2", "role5"],
"dataset2" : ["role3","role2"],
},
"member2" = {
"dataset3" : ["role1","role4"],
"dataset2" : ["role5"],
}
}
}
locals {
helper_list = flatten([for member, value in var.bq_iam_role_bindings:
flatten([for dataset, roles in value:
[for role in roles:
{"member" = member
"dataset" = dataset
"role" = role}
]])
])
}
这将导致helper_list
以下形式:
[
{
"dataset" = "dataset1"
"member" = "member1"
"role" = "role1"
},
{
"dataset" = "dataset1"
"member" = "member1"
"role" = "role2"
},
{
"dataset" = "dataset1"
"member" = "member1"
"role" = "role5"
},
{
"dataset" = "dataset2"
"member" = "member1"
"role" = "role3"
},
{
"dataset" = "dataset2"
"member" = "member1"
"role" = "role2"
},
{
"dataset" = "dataset2"
"member" = "member2"
"role" = "role5"
},
{
"dataset" = "dataset3"
"member" = "member2"
"role" = "role1"
},
{
"dataset" = "dataset3"
"member" = "member2"
"role" = "role4"
},
]
上面的表格更容易使用for_each
,例如:
resource "google_bigquery_dataset_iam_binding" "reader" {
for_each = { for idx, record in local.helper_list : idx => record }
dataset_id = each.value.dataset
role = each.value.role
members = [
each.value.member
]
}