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FAQ(常见问题解答)

How do I find the transaction ID of a dataset to use the transaction filter in the Data Lifetime application?

To find a transaction ID, navigate to the relevant dataset. Select the History tab, then choose the specific transaction you need. Scroll to the end of the Transaction details section to view the Transaction RID field. Copy the RID and paste it into the dedicated filter in the Data Lifetime application.

Does the History tab within a policy allow me to view when a dataset was deleted?

No, the Removals section only refers to when a dataset was removed from a policy. Deletions can be tracked from the Deletion tab, found in the upper right corner of your screen.

Can deletion policies be applied to media sets or model assets?

Currently, Data Lifetime policies can only be applied to datasets.

I have concerns regarding compute costs after initiating a sizable deletion request. Could you provide more information about the potential implications?

The Data Lifetime application rate limits the evaluation of policies and transaction deletions. While protecting resources by limiting the number of requests, it improves performance by controlling the rate of incoming requests and ensuring the completion of prior requests. This resource conservation and performance boost reduces the need for additional resources, leading to cost control.

How long does it take to delete previous transactions after a new SNAPSHOT is built, specifically if I have a "latest view only" policy?

Data Lifetime marks transactions for deletion at multiple points during the day, but the underlying data stores used by Foundry (such as S3) often take time to delete. Typically, the longest duration you can expect for data to be fully deleted is around 30 days.


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常见问题解答

如何使用数据生命周期(Data Lifetime)应用中的事务过滤器时,如何找到数据集的事务ID?

要查找事务ID,请导航至相关数据集。选择历史记录(History)选项卡,然后选择所需的具体事务。滚动至事务详情(Transaction details)部分的末尾,查看事务RID(Transaction RID)字段。复制该RID并粘贴到数据生命周期(Data Lifetime)应用的专用过滤器中。

策略中的历史记录(History)选项卡能否让我查看数据集何时被删除?

不能,移除(Removals)部分仅指数据集(dataset)何时从策略中移除。删除操作可通过屏幕右上角的删除(Deletion)选项卡进行追踪。

删除策略能否应用于媒体集(media sets)或模型资产(model assets)?

目前,数据生命周期(Data Lifetime)策略仅可应用于数据集(datasets)。

我担心发起大规模删除请求后会产生计算成本。能否提供更多关于潜在影响的信息?

数据生命周期(Data Lifetime)应用会对策略评估和事务删除进行速率限制。在通过限制请求数量来保护资源的同时,它通过控制传入请求的速率并确保先前请求的完成来提升性能。这种资源节约和性能提升减少了对额外资源的需求,从而实现了成本控制。

在构建新的快照(SNAPSHOT)后,删除先前事务需要多长时间?具体来说,如果我设置了"仅保留最新视图(latest view only)"策略会怎样?

数据生命周期(Data Lifetime)会在一天中的多个时间点标记待删除的事务,但Foundry使用的底层数据存储(如S3)通常需要时间来完成删除。通常情况下,数据完全删除的最长等待时间约为30天。