29%
18.12.2013
(One-by-One)
1 #include
2
3 /* Our structure */
4 struct rec
5 {
6 int x,y,z;
7 float value;
8 };
9
10 int main()
11 {
12 int counter;
13 struct rec my_record;
14 int counter_limit;
15
29%
29.09.2020
-line operations.
To install Dockly [3], you can choose one of two routes: with npm (see the "Installation by npm" box for that route) and in a Docker container. For context, on my laptop, about 43MB of file space
29%
25.09.2023
-V architecture [3] (Figure 2). RISC-V is a relatively recent open source CPU instruction set available royalty-free and has successfully drawn interest from more than a dozen chip suppliers so far. It cannot yet
29%
16.03.2021
, (T) 4096B-4096B, ioengine=libaio, iodepth=32
fio-3.12
Starting 1 process
Jobs: 1 (f=1)
test: (groupid=0, jobs=1): err= 0: pid=5956: Sat Jan 9 16:38:53 2021
read: IOPS=256k, BW=998MiB/s (1047MB
29%
11.04.2016
(512 MB) copied, 49.1424 s, 10.4 MB/s
If you want to empty the read and write cache for benchmark purposes, you can do so using:
sync; echo 3 > /proc/sys/vm/drop_caches
Sequential access
29%
20.03.2014
access is aligned to internal sector size, so that should be your first consideration. Without further data, the rule of thumb adopted by Microsoft in Windows 7 of aligning to 1MB (2048x512 and 256x4096
28%
04.12.2013
permissions; I have ignored that part of the output because I’m interested in the primary I/O portion.
Notice that the code writes 24 bytes per element (2,400 bytes/100 elements) with a throughput of 114.3GBps
28%
30.11.2025
creates a 256MB file in the current directory along with process for the job. This process reads complete file content in random order. Fio records the areas that have already been read and reads each area
28%
02.08.2021
%util
sda 10.91 6.97 768.20 584.64 4.87 18.20 30.85 72.31 13.16 20.40 0.26 70.44 83.89 1.97 3.52
nvme0n1 58.80 12.22 17720.47 48.71 230
28%
11.02.2016
defaults for Table Definition Cache, from 256 to 400, would be sufficiently dimensioned for this example.
Query Cache
The next relevant MySQL parameter from the SQL area is the Query Cache. This should
