创建Lambda函数时出现Terraform错误：应用带有Terraform刚创建的资源的ResourceConflictException

如何解决创建Lambda函数时出现Terraform错误：应用带有Terraform刚创建的资源的ResourceConflictException

我正在帐户的每个AWS区域中部署Lambda函数，并遇到奇怪的问题，其中应用失败，其中某些AWS区域出现以下错误消息

应用Terraform时出错

Error: Error creating Lambda function: ResourceConflictException: Function already exist: log-forwarder
{
  RespMetadata: {
    StatusCode: 409,RequestID: "8cfd7260-7c4a-42d2-98c6-6619c7b2804f"
  },Message_: "Function already exist: log-forwarder",Type: "User"
}

上面的Lambda函数刚由失败的同一Terraform Apply创建。

terraform计划和init不会引发任何有关TF配置问题的错误。

计划和初始化都成功运行。

下面是我的目录结构

.
├── log_forwarder.tf
├── log_forwarder_lambdas
│   └── main.tf
└── providers.tf

下面是我的providers.tf文件

provider "aws" {
  region  = "us-east-1"
  version = "3.9.0"
}
provider "aws" {
  alias   = "us-east-2"
  region  = "us-east-2"
  version = "3.9.0"
}
provider "aws" {
  alias   = "us-west-2"
  region  = "us-west-2"
  version = "3.9.0"
}  
provider "aws" {
  alias   = "us-west-1"
  region  = "us-west-1"
  version = "3.9.0"
}
provider "aws" {
  alias   = "ca-central-1"
  region  = "ca-central-1"
  version = "3.9.0"
}


... with all the AWS Regions.

下面是log_forwarder.tf的tf配置

terraform {
  required_version = "0.12.25"

  backend "s3" {
    All the backend Config
  }
}


resource "aws_iam_role" "log_forwarder" {
  name = "LogForwarder"

  assume_role_policy = <<EOF
{
  "Version": "2012-10-17","Statement": [
    {
      "Sid": "","Effect": "Allow","Principal": {
        "Service": ["lambda.amazonaws.com"]
      },"Action": "sts:AssumeRole"
    }
  ]
}
EOF
}

resource "aws_iam_role_policy" "log_forwarder" {
  name = "LogForwarder"
  role = aws_iam_role.log_forwarder.id

  policy = <<EOF
{
  "Version": "2012-10-17","Statement": [
    {
      "Effect": "Allow","Action": [
        "lambda:ListTags","logs:CreateLogGroup","logs:CreateLogStream","logs:PutLogEvents"
      ],"Resource": [
        "arn:aws:logs:*","arn:aws:lambda:*"
      ]
    },{
      "Effect": "Allow","Action": [
        "lambda:InvokeFunction"
      ],"Resource": "*"
    },{
    "Sid": "AWSDatadogPermissionsForCloudtrail","Action": ["s3:ListBucket","s3:GetBucketLocation","s3:GetObject","s3:ListObjects"],"Resource": [
        "arn:aws:s3:::BucketName","arn:aws:s3:::BucketName/*"
    ]
}

  ]
}
EOF
}


module "DDLogForwarderUSEast1" {
  source                = "./log_forwarder_lambdas"
  dd_log_forwarder_role = aws_iam_role.log_forwarder.arn
  region                = "us-east-1"

}

module "DDLogForwarderUSEast2" {
  source                = "./log_forwarder_lambdas"
  dd_log_forwarder_role = aws_iam_role.log_forwarder.arn
  providers             = { aws = aws.us-east-2 }
  region                = "us-east-2"
}

module "DDLogForwarderUSWest1" {
  source                = "./log_forwarder_lambdas"
  dd_log_forwarder_role = aws_iam_role.log_forwarder.arn
  providers             = { aws = aws.us-west-1 }
  region                = "us-west-1"
}

module "DDLogForwarderUSWest2" {
  source                = "./log_forwarder_lambdas"
  dd_log_forwarder_role = aws_iam_role.log_forwarder.arn
  region                = "us-west-2"
  providers             = { aws = aws.us-west-2 }
}

module "DDLogForwarderAPEast1" {
  source                = "./log_forwarder_lambdas"
  dd_log_forwarder_role = aws_iam_role.log_forwarder.arn
  providers             = { aws = aws.ap-east-1 }
  region                = "ap-east-1"
}

module "DDLogForwarderAPSouth1" {
  source                = "./log_forwarder_lambdas"
  dd_log_forwarder_role = aws_iam_role.log_forwarder.arn
  region                = "ap-south-1"
  providers             = { aws = aws.ap-south-1 }
}

... All AWS Regions with different providers

log_forwarder_lambdas/main.tf的TF配置

variable "region" {}

variable "account_id" {
  default = "AWS Account Id"
}

variable "dd_log_forwarder_role" {}

variable "exclude_at_match" {
  default = "([A-Z]* RequestId: .*)"
}

data "aws_s3_bucket" "cloudtrail_bucket" {
  count  = var.region == "us-west-2" ? 1 : 0
  bucket = "BucketName"
}


resource "aws_lambda_function" "log_forwarder" {
  filename      = "${path.cwd}/log_forwarder_lambdas/aws-dd-forwarder-3.16.3.zip"
  function_name = "log-forwarder"
  role          = var.dd_log_forwarder_role
  description   = "Gathers logs from targetted Cloudwatch Log Groups and sends them to DataDog"
  handler       = "lambda_function.lambda_handler"
  runtime       = "python3.7"
  timeout       = 600
  memory_size   = 1024
  layers        = ["arn:aws:lambda:${var.region}:464622532012:layer:Datadog-Python37:11"]


  environment {
    variables = {
      DD_ENHANCED_METRICS = false
      EXCLUDE_AT_MATCH    = var.exclude_at_match
    }
  }
}

resource "aws_cloudwatch_log_group" "log_forwarder" {
  name              = "/aws/lambda/${aws_lambda_function.log_forwarder.function_name}"
  retention_in_days = 90
}

resource "aws_lambda_permission" "cloudtrail_bucket" {
  count         = var.region == "us-west-2" ? 1 : 0
  statement_id  = "AllowExecutionFromS3Bucket"
  action        = "lambda:InvokeFunction"
  function_name = aws_lambda_function.log_forwarder.arn
  principal     = "s3.amazonaws.com"
  source_arn    = element(data.aws_s3_bucket.cloudtrail_bucket.*.arn,count.index)
}

resource "aws_s3_bucket_notification" "cloudtrail_bucket_notification" {
  count  = var.region == "us-west-2" ? 1 : 0
  bucket = element(data.aws_s3_bucket.cloudtrail_bucket.*.id,count.index)


  lambda_function {
    lambda_function_arn = aws_lambda_function.log_forwarder.arn
    events              = ["s3:ObjectCreated:*"]
  }

  depends_on = [aws_lambda_permission.cloudtrail_bucket,aws_cloudwatch_log_group.log_forwarder]
}

在这种情况下，我使用的是TF 0.12.25。

到目前为止我尝试过的事情。

每次我运行Terraform的init / plan / apply循环时，从根模块中删除.terraform文件夹
我尝试了尽可能多地重构代码。
我正在本地运行TF计划/申请周期，没有任何CI。

解决方法

乍看之下，Lambda函数似乎未处于Terraform状态（无论出于何种原因）。您是否更改了后端/从后端删除了数据？

运行terraform show和/或terraform state show，查看有冲突的Lambda函数是否处于您的状态。
如果不是，但是它已经存在于AWS中，则可以将其导入。
看到这里：https://registry.terraform.io/providers/hashicorp/aws/latest/docs/resources/lambda_function#import

更新：

根据您的评论，由于资源存在于AWS中但不处于状态中，因此这是预期的错误。（Terraform不知道资源存在，因此尝试创建它； AWS知道它已经存在，因此返回错误。）

您有两种选择：

在AWS中删除资源，然后再次运行Terraform；或
将现有资源导入Terraform（推荐）。

尝试类似的东西：

terraform import module.DDLogForwarderUSEast1.aws_lambda_function.log-forwarder log-forwarder

（如果在其他区域尝试此操作，请确保您设置了正确的提供者/区域！）

创建Lambda函数时出现Terraform错误：应用带有Terraform刚创建的资源的ResourceConflictException

如何解决创建Lambda函数时出现Terraform错误：应用带有Terraform刚创建的资源的ResourceConflictException

解决方法

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