Terraform是一个开源的基础设施即代码工具,它允许开发人员使用简单的声明性语言定义和管理云基础设施。Terraform使用迭代组合的map和list来实现灵活的配置和部署。 迭代组合的map是指在Terraform中可以使用map数据结构来定义一组键值对,其中键和值可以是任意类型的数据。通过使用map,可以轻松地定义和管理多
> split(",","name,age,title") tolist([ "name", "age", "title", ]) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. Collection 集合函数 Map 映射函数
transpose对Map的key和value进行换位: > transpose({"a" = ["1", "2"], "b" = ["2", "3"]}) tomap({ "1" = tolist([ "a", ]) "2" = tolist([ "a", "b", ]) "3" = tolist([ "b", ]) }) zipmap根据key和value的列表按一对一关系生成Map: > zipmap(["age", "name"...
network_id"` SubnetID types.String `tfsdk:"subnet_id"` IsAuditLog types.String `tfsdk:"is_audit_log"` Status types.String `tfsdk:"status"` CTime types.String `tfsdk:"ctime"` VipData types.List `tfsdk:"vip_data"` MasterNum types.List `...
除开String类型变量,Terraform还支持List和Map类型: List的定义: variable “cidrs” { type=“list” } List的赋值: cidrs=[ “10.0.0.0/16”, “10.1.0.0/16” ] Map的定义和赋值: variable “amis” { type = “map” default = { “us-east-1” = “ami-b374d5a5” ...
-merge(map1,map2,map3) 合并map,相同key会被最后覆盖 -keys(map) 创建map中key的list -values(map) 创建map中value的list 示例 output.tf //内置数值函数output"my_func1"{ value = {f1= [max(1,2,3), min(7,8,9), parseint("111",2)],f2= [max([1,2,3]...), min([7,8,9]......
(), }, }, "network_id": schema.StringAttribute{ Description: "The network id of the mysql instance", Required: true, }, "vip_data": schema.ListNestedAttribute{ Description: "The vip data of the mysql instance", Computed: true, NestedObject: schema.NestedAttributeObject{ Attributes: map[...
默认情况下,Terraform plan/apply 操作将检测云上资源的属性和本地资源块中 的差异,如果不一致将会调用更新或者重建操作来匹配配置.我们可以用 ignore_changes 来忽略某些参数不进行更新或重新.ignore_changes 的值可以是 属性的相对地址列表,对于 Map 和 List 类型,可以使用索引表示法引用,如 tags["Name"],list[0...
, {"Effect":"Allow","Action":["vpc:CreateVpc","vpc:DeleteVpc","vpc:CreateVSwitch","vpc:DeleteVSwitch"],"Resource":"*"}, {"Effect":"Allow","Action":["vpc:DescribeVpcAttribute","vpc:DescribeRouteTableList","vpc:DescribeVSwitchAttributes"],"Resource":"*"}, {"Effect":"Allow","Action...
"2" = tolist([ "a", "b", ]) "3" = tolist([ "b", ]) }) zipmap根据key和value的列表按一对一关系生成Map: > zipmap(["age", "name"], [18, "Larry Deng"]) { "age" = 18 "name" = "Larry Deng" } 加密解密 Base64: ...