amazon-web-services - Terraform - 在同一个存储桶上触发多个 aws_s3_bucket_notification

Question

我需要为 S3 存储桶创建触发器。我们使用以下内容来创建触发器:

resource "aws_s3_bucket_notification" "bucket_notification" {
  bucket = var.aws_s3_bucket_id

  lambda_function {
    lambda_function_arn = var.lambda_function_arn
    events              = ["s3:ObjectCreated:Put"]
    filter_prefix       = var.filter_prefix
    filter_suffix       = var.filter_suffix
  }
}

当存储桶还没有触发器时，这可以正常工作，除生产之外的所有环境都是这种情况。
当我们部署生产时，我们看到存储桶上已经存在的触发器被删除了。我们需要两个触发器。
我能够手动添加另一个触发器，例如 PUT 事件触发器，只需更改前缀，但是当我从 Terraform 执行此操作时，前一个总是被删除。有什么我想念的吗？

Answer 1

aws_s3_bucket_notification resource documentation在顶部提到了这一点:

NOTE: S3 Buckets only support a single notification configuration. Declaring multiple aws_s3_bucket_notification resources to the same S3 Bucket will cause a perpetual difference in configuration. See the example "Trigger multiple Lambda functions" for an option.

他们的例子展示了如何通过添加多个 lambda_function 来实现这一点。 aws_s3_bucket_notification 中的块资源:

resource "aws_iam_role" "iam_for_lambda" {
  name = "iam_for_lambda"

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

resource "aws_lambda_permission" "allow_bucket1" {
  statement_id  = "AllowExecutionFromS3Bucket1"
  action        = "lambda:InvokeFunction"
  function_name = "${aws_lambda_function.func1.arn}"
  principal     = "s3.amazonaws.com"
  source_arn    = "${aws_s3_bucket.bucket.arn}"
}

resource "aws_lambda_function" "func1" {
  filename      = "your-function1.zip"
  function_name = "example_lambda_name1"
  role          = "${aws_iam_role.iam_for_lambda.arn}"
  handler       = "exports.example"
  runtime       = "go1.x"
}

resource "aws_lambda_permission" "allow_bucket2" {
  statement_id  = "AllowExecutionFromS3Bucket2"
  action        = "lambda:InvokeFunction"
  function_name = "${aws_lambda_function.func2.arn}"
  principal     = "s3.amazonaws.com"
  source_arn    = "${aws_s3_bucket.bucket.arn}"
}

resource "aws_lambda_function" "func2" {
  filename      = "your-function2.zip"
  function_name = "example_lambda_name2"
  role          = "${aws_iam_role.iam_for_lambda.arn}"
  handler       = "exports.example"
}

resource "aws_s3_bucket" "bucket" {
  bucket = "your_bucket_name"
}

resource "aws_s3_bucket_notification" "bucket_notification" {
  bucket = "${aws_s3_bucket.bucket.id}"

  lambda_function {
    lambda_function_arn = "${aws_lambda_function.func1.arn}"
    events              = ["s3:ObjectCreated:*"]
    filter_prefix       = "AWSLogs/"
    filter_suffix       = ".log"
  }

  lambda_function {
    lambda_function_arn = "${aws_lambda_function.func2.arn}"
    events              = ["s3:ObjectCreated:*"]
    filter_prefix       = "OtherLogs/"
    filter_suffix       = ".log"
  }
}