本文介绍了Google BigQuery基础架构的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

所以我刚刚开始在大约10分钟前搞砸了Google BigQuery,我想知道是否有人知道他们用来存储数据的底层架构?例如,这只是他们自己的BigTable基础设施的下一代?

So I just started messing around with Google BigQuery about 10 minutes ago, and I was wondering if anyone is aware of the underlying architecture that they're using to store the data? For example, is this just the next generation of their own BigTable infrastructure?

此外,它是否清楚他们用于索引,索引重建等等的策略类型?我只是想分析这是否成熟,在这一点上,你可以100%确定你的数据端到端,或有一个黑盒子区域,东西只是工作

Also, is it clear what sorts of strategies they're using for indexes, index rebuilds, etc? I'm just trying to analyze whether this is mature enough at this point where you can be 100% sure of what's going on with your data end-to-end, or is there a bit of a black box area where "things just work"?

推荐答案

没有索引...每个查询都是一个表扫描。查询架构在,这是6月到期的。

If you're interested in more details about how BigQuery works under the covers or how to use it effectively, here is a shameless plug for our book on the subject which is due out in June.

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07-29 11:41