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1
2 Build & Release Notes
3 *********************
4
5 ``rustup`` Toolchain
6 ====================
7
8 We normally want to build with the ``rustc`` Debian package. To do that
9 you can set the following ``rustup`` configuration:
10
11 # rustup toolchain link system /usr
12 # rustup default system
13
14
15 Versioning of proxmox helper crates
16 ===================================
17
18 To use current git master code of the proxmox* helper crates, add::
19
20 git = "git://git.proxmox.com/git/proxmox"
21
22 or::
23
24 path = "../proxmox/proxmox"
25
26 to the proxmox dependency, and update the version to reflect the current,
27 pre-release version number (e.g., "0.1.1-dev.1" instead of "0.1.0").
28
29
30 Local cargo config
31 ==================
32
33 This repository ships with a ``.cargo/config`` that replaces the crates.io
34 registry with packaged crates located in ``/usr/share/cargo/registry``.
35
36 A similar config is also applied building with dh_cargo. Cargo.lock needs to be
37 deleted when switching between packaged crates and crates.io, since the
38 checksums are not compatible.
39
40 To reference new dependencies (or updated versions) that are not yet packaged,
41 the dependency needs to point directly to a path or git source (e.g., see
42 example for proxmox crate above).
43
44
45 Build
46 =====
47 on Debian 11 Bullseye
48
49 Setup:
50 1. # echo 'deb http://download.proxmox.com/debian/devel/ bullseye main' | sudo tee /etc/apt/sources.list.d/proxmox-devel.list
51 2. # sudo wget https://enterprise.proxmox.com/debian/proxmox-release-bullseye.gpg -O /etc/apt/trusted.gpg.d/proxmox-release-bullseye.gpg
52 3. # sudo apt update
53 4. # sudo apt install devscripts debcargo clang
54 5. # git clone git://git.proxmox.com/git/proxmox-backup.git
55 6. # cd proxmox-backup; sudo mk-build-deps -ir
56
57 Note: 2. may be skipped if you already added the PVE or PBS package repository
58
59 You are now able to build using the Makefile or cargo itself, e.g.::
60
61 # make deb-all
62 # # or for a non-package build
63 # cargo build --all --release
64
65 Design Notes
66 ************
67
68 Here are some random thought about the software design (unless I find a better place).
69
70
71 Large chunk sizes
72 =================
73
74 It is important to notice that large chunk sizes are crucial for performance.
75 We have a multi-user system, where different people can do different operations
76 on a datastore at the same time, and most operation involves reading a series
77 of chunks.
78
79 So what is the maximal theoretical speed we can get when reading a series of
80 chunks? Reading a chunk sequence need the following steps:
81
82 - seek to the first chunk's start location
83 - read the chunk data
84 - seek to the next chunk's start location
85 - read the chunk data
86 - ...
87
88 Lets use the following disk performance metrics:
89
90 :AST: Average Seek Time (second)
91 :MRS: Maximum sequential Read Speed (bytes/second)
92 :ACS: Average Chunk Size (bytes)
93
94 The maximum performance you can get is::
95
96 MAX(ACS) = ACS /(AST + ACS/MRS)
97
98 Please note that chunk data is likely to be sequential arranged on disk, but
99 this it is sort of a best case assumption.
100
101 For a typical rotational disk, we assume the following values::
102
103 AST: 10ms
104 MRS: 170MB/s
105
106 MAX(4MB) = 115.37 MB/s
107 MAX(1MB) = 61.85 MB/s;
108 MAX(64KB) = 6.02 MB/s;
109 MAX(4KB) = 0.39 MB/s;
110 MAX(1KB) = 0.10 MB/s;
111
112 Modern SSD are much faster, lets assume the following::
113
114 max IOPS: 20000 => AST = 0.00005
115 MRS: 500Mb/s
116
117 MAX(4MB) = 474 MB/s
118 MAX(1MB) = 465 MB/s;
119 MAX(64KB) = 354 MB/s;
120 MAX(4KB) = 67 MB/s;
121 MAX(1KB) = 18 MB/s;
122
123
124 Also, the average chunk directly relates to the number of chunks produced by
125 a backup::
126
127 CHUNK_COUNT = BACKUP_SIZE / ACS
128
129 Here are some staticics from my developer worstation::
130
131 Disk Usage: 65 GB
132 Directories: 58971
133 Files: 726314
134 Files < 64KB: 617541
135
136 As you see, there are really many small files. If we would do file
137 level deduplication, i.e. generate one chunk per file, we end up with
138 more than 700000 chunks.
139
140 Instead, our current algorithm only produce large chunks with an
141 average chunks size of 4MB. With above data, this produce about 15000
142 chunks (factor 50 less chunks).