bucket

问题 Is there a way to configure on S3 Lifecycle to delete object less than 30 days (say I want to delete in 5 days Permanently without moving to any other Storage class like glacier? Or should I go by other alternative like Lambda ? I believe, S3 'Lifecycle Rule' allows storage class only more than 30 days. 回答1: You can use expiration action: Define when objects expire. Amazon S3 deletes expired objects on your behalf. You can set expiration time to 5 days or 1 day, or what suits you. For example

问题 Is there a way to configure on S3 Lifecycle to delete object less than 30 days (say I want to delete in 5 days Permanently without moving to any other Storage class like glacier? Or should I go by other alternative like Lambda ? I believe, S3 'Lifecycle Rule' allows storage class only more than 30 days. 回答1: You can use expiration action: Define when objects expire. Amazon S3 deletes expired objects on your behalf. You can set expiration time to 5 days or 1 day, or what suits you. For example

问题 Sorry if my question may seem messy I have only a basic idea about DNS or hosting. The story is the following: I have created a couple of my personal webpages and registered a domain. Then I found out that I don't need a "big" hosting for my couple of pages and it's better to host a website in the cloud, I chose GCP for hosting, found this tutorial and followed through to successfully achieve my goal of hosting a static website. Then I wanted to share a link to my website in social media and

问题 Sorry if my question may seem messy I have only a basic idea about DNS or hosting. The story is the following: I have created a couple of my personal webpages and registered a domain. Then I found out that I don't need a "big" hosting for my couple of pages and it's better to host a website in the cloud, I chose GCP for hosting, found this tutorial and followed through to successfully achieve my goal of hosting a static website. Then I wanted to share a link to my website in social media and

问题 We are trying to create different bucket for different source system, and give them access only to dump data on particular bucket. They should not have read access, i.e. they shouldnt be able to see hats there inside the bucket. Is it doable , if yes how ? 回答1: You are probably looking for roles/storage.objectCreator role (take a look at IAM roles for Storage) : Allows users to create objects. Does not give permission to view, delete, or overwrite objects. 回答2: You can create a custom role

问题 I try to optimize a join query between two spark dataframes, let's call them df1, df2 (join on common column "SaleId"). df1 is very small (5M) so I broadcast it among the nodes of the spark cluster. df2 is very large (200M rows) so I tried to bucket/repartition it by "SaleId". In Spark, what is the difference between partitioning the data by column and bucketing the data by column? for example: partition: df2 = df2.repartition(10, "SaleId") bucket: df2.write.format('parquet').bucketBy(10,

来源： https://stackoverflow.com/questions/14502448/amazon-s3-bucket-policy-referer

来源： https://stackoverflow.com/questions/14502448/amazon-s3-bucket-policy-referer

来源： https://stackoverflow.com/questions/14502448/amazon-s3-bucket-policy-referer

来源： https://stackoverflow.com/questions/53829042/google-cloud-storage-bucket-throws-error-the-project-to-be-billed-is-associated