On October 29, 2024 at the GroupBy conference, I was moderator for Jeff Taylor's session "How To Tune A Multi-Terabyte Database For Optimum Performance"
The video is available at https://www.youtube.com/watch?v=9j51bD0DPZE
Listed below are some take aways and Q&As from his session:
Ideal Latency time:
20ms for IO
10ms for TempDB
Crystal Disk Mark is a simple disk benchmark software: https://crystalmark.info/en/software/crystaldiskmark/
What is the overhead of running these diagnostics (i.e. diskspd and Crystal Disk)?
No adverse effects during mid-day testing, but don't run it during a busy time.
It's best to test it during both busy and non-busy times
Mutlipath: multiple network cards between host, switch and SAN appliance
For tempdb storage, what's preferable?
Shared space on a disk pool with a lot of drives or dedicated pool with just 2 drives (raid 1)? all drives of the same type (NVMe).
"Shared" means with other databases
Run in memory for newer versions
Raid10 will be fastest
keep tempDB separate from other DBs
By in memory tempdb, does that mean memory optimized tempdb metadata option? Yes
Jumbo Frames are 8192 when enabled, should be used for storage network to avoid issues
to transfer more across the network
Raid 5 is best for economy/performance combination on both SSD and conventional drives
RAID 5 for data? What about that write penalty overhead? Why not RAID 10 ? RAID 10 is best but RAID 5 will sufficiently perform but make sure you have enough memory for operational needs
Use New Mbsv3 series VMs from Azure
Would you consider local raid0 for tempdb? Yes, you can but RAID 1 so it's redundant so it stays live.
nvarchar: N for "National" characters for various foreign languages, 2+ bytes per character
Prefer to use INT instead of BigInt
Datetime2 (8 bytes) is preferred over Datetime(6-8 bytes)
Unicode size on disk is one thing, size when in cache is a worse problem
What do you think about using IFI (Instant File Initialization) for log file in 2022? Recommended
Avoid Heap tables. However, Markus Winand, author or SQL Performance Explained, shows some specialized cases where Heap is better.
See https://medium.com/@nhatcuong/sql-performance-explained-by-markus-winand-some-notes-after-the-first-read-1dde208f2fd7 for more info
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