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Dynamic Range Sharding with Spanner // Daniel Chia, Google Spanner (FirstMark's Data Driven NYC) Feb 25, 2019 · 17 mentions

• ▶ 1:17 Daniel Chia Um, so just to help you understand where I'm coming from, um, what is Spanner? 3 times in the scene
• ▶ 2:17 Daniel Chia But the really cool thing about Spanner is we use this technology called TrueTime, which allows us to get an estimate of what is the exact accurate time anywhere in the world to assign a unique timestamp to every transaction that Spanner… 3 times in the scene
• ▶ 3:50 Daniel Chia Over here, I'm going to talk about how Spanner applies to it, to a relational table, but this can be applied in many other kinds of big data systems that need to distribute work across many machines. 2 times in the scene
• ▶ 7:07 Daniel Chia Um, but the problem is Spanner is a relational database and people expect to be able to do queries like, you know, select all songs where the singer ID is three and the album ID is greater than one.
• ▶ 8:31 Daniel Chia Um, so what Spanner does is something different.
• ▶ 10:42 Daniel Chia So what we can do is Spanner will actually notice that, Hey, the load on these shards are increasing.
• ▶ 12:18 Daniel Chia As a small side note, you must think that maybe my life as a Spanish engineer is horrendous. 2 times in the scene
• ▶ 14:54 Daniel Chia So unless Spanner has a crystal ball to be able to predict in five seconds exactly where in the key range you're going to be writing to, we can't split it. 2 times in the scene
• ▶ 15:48 Daniel Chia Uh, the two examples that I mentioned in the Cloud Spanner blog post, but in, in essence, it's a distributed relational database that works really well, so there's very little reason to choose it unless you have a very specific workload… 2 times in the scene