Google Cloud Spanner的外部备份/快照 [英] External Backups/Snapshots for Google Cloud Spanner

问题描述

是否可以快照Google Cloud Spanner数据库/表格？出于合规性原因，我们必须每天都有当前数据库的快照，在发生灾难时可以回滚到这个数据库中：这在Spanner中是可行的吗？是否有意愿支持它，如果没有？

对于那些可能会问为什么我们需要它，因为扳手复制/冗余等 - 它不防范人为错误（不小心丢掉一张桌子）或破坏/间谍活动，因此这个问题和要求。

谢谢，M

解决方案今天，您可以通过使用您最喜欢的工具（mapreduce，spark，dataflow）读取所有数据并在特定时间戳（使用时间戳记边界）读取数据流来创建一致的快照。

https：//云。 google.com/spanner/docs/timestamp-bounds

在数据被垃圾收集之前，您大约需要一个小时完成导出操作。

未来，我们将提供一个Apache Beam / Dataflow连接器，以更具扩展性的方式完成此操作。这将是我们进行数据导入/导出到Cloud Spanner的首选方法。从长远来看，我们将支持备份和恢复到备份的功能，但该功能目前尚不可用。

Is it possible to snapshot a Google Cloud Spanner Database/table(s)? For compliance reasons we have to have daily snapshots of the current database that can be rolled back to in the event of a disaster: is this possible in Spanner? Is there intention to support it if not?

For those who might ask why we would need it as Spanner is replicated/redundant etc - it doesn't guard against human error (dropping a table by accident) or sabotage/espionage hence the question and requirement.

Thanks, M

解决方案

Today, you can stream out a consistent snapshot by reading out all the data using your favorite tool (mapreduce, spark, dataflow) and reads at a specific timestamp (using Timestamp Bounds).

https://cloud.google.com/spanner/docs/timestamp-bounds

You have about an hour to do the export before the data gets garbage collected.

In the future, we will provide a Apache Beam/Dataflow connector to do this in a more scalable fashion. This will be our preferred method for doing import/export of data into Cloud Spanner.

Longer term, we will support backups and the ability to restore to a backup but that functionality is not currently available.

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