在使用无服务器部署Lambdas时,如何重用S3存储桶？

Question

最近,我们采用了Serverless来处理AWS环境中Lambda功能的部署,但是对于部署的每个独特功能,都会创建一个新的S3存储桶.这是低效的,并且无服务器创建的每个堆栈都有一个存储桶是理想的.有没有办法在serverless.yml文件中执行此操作？我尝试了以下资源的yml文件配置,但没有成功.

1 - 将存储桶列为要在yml中使用的资源

resources:
  Resources:
    ServerlessBucket:
      Type: AWS::S3::Bucket
      Properties:
        BucketName: serverless-test-bucket

输出:

Serverless: Packaging service...
Serverless: Removing old service versions...
Serverless: Uploading CloudFormation file to S3...
Serverless: Uploading service .zip file to S3...
Serverless: Updating Stack...
Serverless: Checking Stack update progress...
............Serverless: Deployment failed!

  Serverless Error ---------------------------------------

     An error occurred while provisioning your stack: ServerlessBucket
     - serverless-test-bucket already exists.

2 - 尝试引用yml中的存储桶

resources:
  Resources:
    ServerlessBucket:
      Type: AWS::S3::Bucket
      Properties:
        Ref: serverless-test-bucket

输出:

Serverless: Packaging service...
Serverless: Removing old service versions...
Serverless: Uploading CloudFormation file to S3...
Serverless: Uploading service .zip file to S3...
Serverless: Updating Stack...

  Serverless Error ---------------------------------------

     Template format error: Unresolved resource dependencies
     [serverless-test-bucket] in the
     Resources block of the template

Answer 1

这已在最近的Serverless版本中添加,但该版本在某些操作系统上破坏了部署功能,因此发布版本为1.1.0.

这是在serverless.yml文件中通过添加deploymentBucket作为提供者下的字段来完成的.例:

provider:
  name: aws
  runtime: python2.7
  stage: dev
  region: us-east-1
  deploymentBucket: bucketName
  iamRoleStatements:
    - Effect: "Allow"
      Action:
      -  "*"
      Resource: "*"