There was Redis [1] which was around ~10% slower than the memory only version but gained you durability. And there was an implementation of Spark Shuffle [2] which was 1.3x - 3.2x faster but that isn't really stressing I/O as much as other use cases.
For a filesystem you can store the entire metadata in Optane so EXISTS/LIST type operations and anything involving a bloom filter would see the full benefit e.g. order of magnitude better than NVME.
[1] https://github.com/pmem/pmem-redis
[2] https://databricks.com/session_na20/accelerating-apache-spar...
For a filesystem I'm less sure about the benefits. Most of the waiting time I see is for the CPU, even if the information is already in memory. What I need is better code implementing the filesystem, not a hardware bump. And even if you go all-in on optane metadata, you only need to replace 1% of your NAND.
I do think there's some really nice potential, but almost all of what I'm interested in can be done with tiny amounts.
Other platforms may not have the anti-malware scan but do similar things.
Also I think you're conflating workloads with operations. Sure, the occasional operation like EXISTS and LIST operation might be faster, but surely most workloads do a lot more than checking a trillion things for existence?
I feel like everything you wrote just makes the case against Optane better than even I could. There seems to be little if any clear performance benefit (being generous here, given slowdowns are also possible as you noted!) to most people's workloads to justify upending everyone's current model of computing. Something like this would probably need to deliver at least an order of magnitude of visible speedup in typical use cases for people to consider it. Which isn't to say some niche workloads might not see 2+ orders of magnitude performance improvement, but the rest of the world clearly won't; why should they have to pay the price for niche use cases?
Redis is an in-memory system where you are compromising performance for durability. Optane Redis gets you the best of both worlds.
Examples where you are comparing Optane against SSD is where you do see significant improvements especially for smaller bits of data.
And EXISTS/LIST operations are more than just "occasional" operations for data storage systems.
Sorry for the confusion. To clarify, my sentences were separate; I wasn't saying I expected 2x for Redis specifically. I was just saying I didn't expect a 10% slowdown for Redis, and that I expected a 2x improvement typically (not necessarily for Redis).
> And EXISTS/LIST operations are more than just "occasional" operations for data storage systems.
Again, communication issue. I wrote "occasional" in the sense of "a small set of operations", not "infrequent operations". As in, you're going through a list of all operations a DB supports, and occasionally one pops out as potentially substantially benefiting from Optane.
Regardless, your argument misses the point I'm making. The point was: how much of the total workload time do they take up. Even if Optane brought down EXISTS/LIST latency to zero, your workload (including all OS/network/client/etc. overhead) would literally have to be 90% composed of (i.e. overwhelmingly dominated by) EXISTS/LIST checks to get an order of magnitude speed improvement for the user.
Pretty sure you misunderstood. If you forced redis use an SSD (persistent storage) for everything redis normally uses DRAM for and only observed a 10% slowdown, it would be a goddamn miracle!
> how much of the total workload time do they take up
If you're talking about a read-heavy workload, the only good thing about Optane is that it's a little cheaper than DRAM. But those workloads are easy to scale (just buy 2x caches to get 2x throughout) so they're often not worth discussing.
Also reposting my comment from above:
> PCIe Optane was a thing and it achieved 10us latency whereas today's fastest SSDs get 40us. IIRC the DIMM version of Optane was <1us, literally an order of magnitude faster!