Bucket Lifecycle Management
Application scenarios
Data has a lifecycle, spanning from creation to archiving and eventually deletion, which forms a complete cycle. Data is frequently accessed and read in its early stages, cools down and gets archived over time, and is ultimately deleted. Lifecycle management in object storage services helps users automate the management of data lifecycle. It is generally useful for the following situations:
- Automatically archive or delete data when it reaches a specified age.
- Perform specific operations at predefined times.
Create a new lifecycle configuration
The following code creates a new lifecycle configuration
1rule = {}
2rule['id'] = 'rule1'
3rule['status'] = 'enabled'
4rule['action'] = {}
5rule['action']['name'] = 'Transition'
6rule['action']['storageClass'] = 'STANDARD_IA'
7 #Apply to all objects in baidubosmty2
8rule['resource'] = ['baidubosmty2/*']
9rule['condition'] = {}
10rule['condition']['time'] = {'dateGreaterThan': 'XXXX-XX-XXTXX:XX:XXZ'}
11rules=[]
12rules.append(rule)
13bos_client.put_bucket_lifecycle(bucket_name, rules)Note:
- Only the bucket owner with full permissions can carry out this operation.
- "resource" indicates resources to which the rules apply. Example: To apply to objects in “samplebucket” with the
prefix/:samplebucket/prefix/*; to apply to all objects in “samplebucket”:samplebucket/*.
For detailed explanations of parameters related to the lifecycle management function and configuration precautions, please refer to [PutBucketLifecycle接口](BOS/API Reference/Bucket-Related Interface/Lifecycle/PutBucketLifecycle.md).
Read the lifecycle configuration of the bucket
The following code can read the lifecycle configuration of the bucket
1response = bos_client.get_bucket_lifecycle(bucket_name)Delete bucket lifecycle
The following code can delete the lifecycle of the bucket:
1bos_client.delete_bucket_lifecycle(bucket_name)