forked from ALHP/ALHP.GO
Giovanni Harting
ece8c4c7d9
Switched to parsing srcinfo with channels on all available cpus, speeding up srcinfo-parsing and queue generation by a lot. New memory-limit based building will max out the available memory while not building the same packages at the same time for different marchs, fixing some long-standing bugs like firefox not building at the same time because the same ports are used for profile-based optimization. This also drops the artificial delay on build-start, speeding up things even more. This also means there is no hard-coded limit on how many packages can be build at once anymore. As long as there is RAM available, builds will be started.
71 lines
1.5 KiB
YAML
71 lines
1.5 KiB
YAML
arch: x86_64
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repos:
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- core
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- extra
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- community
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svn2git:
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upstream-core-extra: "https://github.com/archlinux/svntogit-packages.git"
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upstream-community: "https://github.com/archlinux/svntogit-community.git"
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kernel_to_patch:
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- linux
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- linux-lts
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- linux-zen
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- linux-hardened
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kernel_patches:
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4.19: "https://raw.githubusercontent.com/graysky2/kernel_compiler_patch/master/more-uarches-for-kernel-4.19-5.4.patch"
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5.5: "none"
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5.8: "https://raw.githubusercontent.com/graysky2/kernel_compiler_patch/master/more-uarches-for-kernel-5.8-5.14.patch"
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5.15: "https://raw.githubusercontent.com/graysky2/kernel_compiler_patch/master/more-uarches-for-kernel-5.15%2B.patch"
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linux-zen: "skip"
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db:
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driver: pgx
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connect_to: "postgres://username:password@localhost:5432/database_name"
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basedir:
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repo: /var/lib/alhp/repo/
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work: /var/lib/alhp/workspace/
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debug: /var/lib/alhp/debug/
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march:
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- x86-64-v3
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blacklist:
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packages:
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- tensorflow
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- tensorflow-cuda
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- gcc
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repo:
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- testing
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- i686
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- staging
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- unstable
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lto:
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- llvm
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- rust
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status:
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class:
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skipped: "secondary"
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queued: "warning"
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latest: "primary"
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failed: "danger"
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signing: "success"
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building: "info"
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unknown: "dark"
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build:
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# number of workers total
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worker: 4
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makej: 8
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checks: true
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# how much memory ALHP should use
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# this will also decide how many builds will run concurrently,
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# since ALHP will try to optimise the queue for speed while not going over this limit
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memory_limit: "16gb"
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logging:
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level: INFO |