nvme usage not on par with TBW and DWPD

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ano

Well-Known Member
Nov 7, 2022
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smartctl -a, says 1.12PB written and 1% used

drive is 7.68TB and 1DWPD 5 years, this suggest almost 8-9% used, not 1%

any insight?



datadump below, but key points as follows

Percentage Used: 1%
Data Units Written: 2,197,966,397 [1.12 PB]




smartctl -a output




PCI Vendor/Subsystem ID: 0x1e0f
IEEE OUI Identifier: 0x8ce38e
Total NVM Capacity: 7,681,501,126,656 [7.68 TB]
Unallocated NVM Capacity: 0
Controller ID: 1
Number of Namespaces: 16
Local Time is: Mon Dec 19 18:51:10 2022 UTC
Firmware Updates (0x16): 3 Slots, no Reset required
Optional Admin Commands (0x025e): Format Frmw_DL NS_Mngmt Self_Test MI_Snd/Rec *Other*
Optional NVM Commands (0x00ff): Comp Wr_Unc DS_Mngmt Wr_Zero Sav/Sel_Feat Resv Timestmp *Other*
Maximum Data Transfer Size: 8192 Pages
Warning Comp. Temp. Threshold: 73 Celsius
Critical Comp. Temp. Threshold: 82 Celsius

Supported Power States
St Op Max Active Idle RL RT WL WT Ent_Lat Ex_Lat
0 + 27.50W 25.00W - 0 0 0 0 500000 500000
1 + 19.80W 18.00W - 0 0 1 1 500000 500000
2 + 15.40W 14.00W - 1 1 2 2 500000 500000
3 + 15.40W 14.00W - 1 1 2 2 500000 500000
4 + 15.40W 14.00W - 1 1 2 2 500000 500000
5 + 15.40W 14.00W - 1 1 2 2 500000 500000
6 - 5.00W - - 6 6 6 6 500000 500000

=== START OF SMART DATA SECTION ===
SMART overall-health self-assessment test result: PASSED

SMART/Health Information (NVMe Log 0x02)
Critical Warning: 0x00
Temperature: 43 Celsius
Available Spare: 100%
Available Spare Threshold: 36%
Percentage Used: 1%
Data Units Read: 6,921,881,046 [3.54 PB]
Data Units Written: 2,197,966,397 [1.12 PB]
Host Read Commands: 17,614,306,446
Host Write Commands: 4,151,825,509
Controller Busy Time: 43,598
Power Cycles: 14
Power On Hours: 5,792
Unsafe Shutdowns: 11
Media and Data Integrity Errors: 0
Error Information Log Entries: 21
Warning Comp. Temperature Time: 0
Critical Comp. Temperature Time: 0

Error Information (NVMe Log 0x01, max 256 entries)
Num ErrCount SQId CmdId Status PELoc LBA NSID VS
0 21 0 0x700a 0xc004 0x028 - 0 -
1 20 0 0x2013 0xc004 0x028 - 0 -
2 19 0 0x500b 0xc004 0x028 - 0 -
3 18 0 0x5001 0xc004 0x028 - 0 -
4 17 0 0x4002 0xc004 0x028 - 0 -
5 16 0 0x400d 0xc004 0x028 - 0 -
6 15 0 0x300e 0xc004 0x028 - 0 -
7 14 0 0x6009 0xc004 0x028 - 0 -
8 13 0 0x400b 0xc004 0x028 - 0 -
9 12 0 0x101b 0xc004 0x028 - 0 -
10 11 0 0x300b 0xc004 0x028 - 0 -
11 10 0 0xa006 0xc238 - - 1 -
12 9 0 0x3017 0xc004 0x028 - 0 -
13 8 0 0x3008 0xc004 0x028 - 0 -
14 7 0 0x301d 0xc004 0x028 - 0 -
15 6 0 0x3000 0xc004 0x028 - 0 -
... (3 entries not shown)
 

BlueFox

Legendary Member Spam Hunter Extraordinaire
Oct 26, 2015
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Wear is heavily dependent on workload. Large continuous writes are much easier on NAND than random small ones.
 
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ano

Well-Known Member
Nov 7, 2022
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pretty sure theese are "chia specials", any idea on the IO pattern on that workload?