Google Cloud Spanner, every mention
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tap a year for its mentions
every year anyone Daniel Chia 17Spencer Kimball 10Michael Selick 2Peter Fenton 1Nate Stewart 1
Verbatim, from the transcripts: the passages where Google Cloud Spanner comes up
A Cloud SQL Database Built for Survival | Cockroach CEO & Co-Founder, Spencer Kimball
- ▶ 5:38 Spencer Kimball Uh, and it didn't have a lot of these sort of schema management tools that help you manage complexity, but that was okay because Google just needed something that would get very, very large, but even two years later, they said, you know… 5 times in the scene
- ▶ 8:44 Spencer Kimball It's really around survivability, and that was one of the key things that we, we sought to build into the product from the start, and it was one of the things that motivated Megastore at Google and then Spanner at Google.
- ▶ 49:20 Spencer Kimball So Google didn't replace that system with Spanner, I think for almost 10 years.
Fireside Chat: Nate Stewart (CPO & BOD at Cockroach Labs) with Matt Turck (Partner, FirstMark)
- ▶ 12:50 Nate Stewart And so, unfortunately, with some breakthroughs in computer science, there was the Google Spanner paper that came out, and it said, hey, you can get transactions.
Dynamic Range Sharding with Spanner // Daniel Chia, Google Spanner (FirstMark's Data Driven NYC)
- ▶ 0:40 unnamed speaker Uh, turns out that you need to have managers when you, when you grow teams, uh, and I'm fairly happy to be working with a team of really amazing and talented engineers, uh, working on Spanner, uh, which is the main database that Google… 6 times in the scene
- ▶ 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
A Fireside Chat with Benchmark General Partner Peter Fenton (Data Driven NYC / FirstMark)
- ▶ 14:05 Peter Fenton So, here's what I sensed, is that Spencer had worked on some of the most important, I think, foundational work of, of the internet, and broadly computing at Google, and what Spanner and F-One did was, you have to be an idiot not to see it,…
Spencer Kimball, Cockroach Labs // A New Kind of Database (Hosted by FirstMark Capital)
- ▶ 3:46 Spencer Kimball So Google kind of took this to heart, and the infrastructure group reimagined Bigtable to something called Spanner, and that paper was published in 2012. 2 times in the scene
- ▶ 12:45 Spencer Kimball This is what, uh, Big Table used, HBase uses, and also some of Google's newer architectures like Megastore and, um, uh, Spanner.
Fireside chat with Dwight Merriman // Data Driven #8 // Sep 2012 (interviewed by Matt Turck)
- ▶ 44:50 Michael Selick Um, I was, I was wondering if, uh, if you've read the Google Spanner, um, paper, and, um, how, uh, how you think that'll affect demand for NoSQL in general, and, uh, and I guess scalable products. 2 times in the scene