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Mainline 5.12.x

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  • FrankMF

    OpenCloud - Storage Backends testen

    OpenCloud opencloud linux docker
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    123 Aufrufe
    FrankMF
    So, mal weiter damit beschäftigen. Also, durch meine ganze Testerei war doch ein Haufen Müll angefallen. dockeruser@opencloud:~/opencloud/deployments/examples/opencloud_full$ docker volume ls DRIVER VOLUME NAME local 0fcd6f237898477b251f3dacb6cd083996092b783f991f899b06d89befc41b1e local 1d8df3f5d41613ad93ed753ce2102a14738cf00e8e7d127ec79881660be291ab local 3b612ce20b207c226640d6b84c32c788cd0fad9f9157578c2310f4b3db63dd29 local 5dfdde733fefb9fdb805acec8338a860762e88cd0753f4bb4098a19fbcd4b6c3 local 6bd5659759fb99b0d0613175d2392ca268dbdb3bd0353b85ccdf9a6004e798c0 local 6f8881420aa0e7713ed5308e635fcb9382939b6570afbd1d776866a07f6d61f2 local 29f7d20edd9eda935041cea7af5aab0af748175d7df8f345288463753d2afa9a local 66ca6287706aac5013b458a109e7c143c4fb177670734fc7a0f68495b1c62fd4 local 74d304835ef51f91226cc22dbbd494d2ddc9a4d91badf88814cae24126efd04a local 0203eb654c1f28a60899ded4660fb101ea222a5f8c86a225d39f3e5da877f1c0 local 271c474feb2ed915afb8efa85e422461fcfdf8acd4097355841eadf33847b7ef local 569a8c34804afd5861299973bed023c0146f40c0dbda0d980b8651bbcadc7fc9 local 655b1f446b5db9749787d4be4445887dcb3d19906d4244d059a0f292a6cd5f01 local 843bb8d0d7845adab06e146c44b153b842d5a1a1d8eb3972bdee1d3cbcb7e815 local 987ee19b8639ad5fffabba276ceb1ca09af6ebc66efb007e561570589c9c53a8 local 1004f5b7b161a4fe37a07d7960740e5cd09b90d5744f1922fb3e41c1265f800a local 2043c77b57728106cbcca8b7e2d3ae2f07ddf4ca44ee21fca232526c95e07381 local 3685c81df1be0061352dfc5b0e6db8d8d9f9b0915a271f1ca53d2796a7876805 local 9581abcfb4fb42b2fabfabbc8139cc4659ca83d92a8b60041957565409293ef4 local 796650f1fa887ff0b153822b268a10aa3579f4f2ca3ce6855ff292e49b3bb6b8 local 426251107e3131a250b27b96e795355332127f19ccf1ec8252860aff5d0caec8 local bd43ceef38448db348cc34e7dc5c4fee9c834d8b6c5957b1e6cdb83cec7b0974 local d94e7ce6c0fb1f4f7b811f624b4526ea889f2f8b99d2aa1b21e79d00dfeb38d0 local e87a27c307a8be80839fae1c006273d57570bb99f60c78c95e86a1e9ea1a786c local f2b3e30406db730e2a341850243c115b6eb231f30f41f5353c7b2427de39af75 local opencloud_full_certs local opencloud_full_opencloud-apps local opencloud_full_opencloud-config local opencloud_full_opencloud-data Oje, das sieht ziemlich vermüllt aus. Dann mal ganz mutig alles löschen. Vorher alles gestoppt. docker compose down Volume löschen, nur ein Beispiel docker volume rm opencloud_full_opencloud-data Alles gelöscht. Dann mal ein Neustart docker compose up -d Jetzt sieht das schon viel besser aus. dockeruser@opencloud:~/opencloud/deployments/examples/opencloud_full$ docker volume ls DRIVER VOLUME NAME local 3737a8eab68ffdc08d6e41493346feeb2e06ef350a210213ab450775318e49f8 local opencloud_full_opencloud-apps Da ich neugierig bin, schauen wir mal rein. root@opencloud:~ ls -lha /var/lib/docker/volumes/3737a8eab68ffdc08d6e41493346feeb2e06ef350a210213ab450775318e49f8/_data/web/assets/apps/ total 8.0K drwxr-x--x 2 dockeruser dockeruser 4.0K May 19 18:25 . drwxr-x--x 3 dockeruser dockeruser 4.0K May 31 10:21 .. Vermutlich ein Speicher, wo die Web Apps was ablegen können. Der andere zeigt es dann klarer. root@opencloud-4gb-fsn1-2:~# ls -lha /var/lib/docker/volumes/opencloud_full_opencloud-apps/_data total 28K drwxr-x--x 7 dockeruser dockeruser 4.0K May 31 10:22 . drwx-----x 3 root root 4.0K May 31 10:21 .. drwxr-xr-x 2 root root 4.0K May 31 10:22 draw-io drwxr-xr-x 2 root root 4.0K May 31 10:21 external-sites drwxr-xr-x 3 root root 4.0K May 31 10:22 json-viewer drwxr-xr-x 2 root root 4.0K May 31 10:22 progress-bars drwxr-xr-x 3 root root 4.0K May 31 10:22 unzip Ok, das sollte mir erst mal reichen. Meine Installation lagert die certs ja aus, das habe ich im docker compose geändert. dockeruser@opencloud:~/opencloud/deployments/examples/opencloud_full$ ls -lha certs/ total 44K drwxr-xr-x 2 dockeruser dockeruser 4.0K May 30 05:49 . drwxr-xr-x 6 dockeruser dockeruser 4.0K May 31 10:38 .. -rw------- 1 dockeruser dockeruser 33K May 29 11:00 acme.json Im docker-compose.yml volumes: - ./certs:/certs # bind-mount acme.json Der Grund dafür ist, das ich das docker-compose nicht als root laufen haben möchte. Die Hauptdaten sind nach lokal ausgelagert. OC_CONFIG_DIR=/home/dockeruser/oc_data/config OC_DATA_DIR=/home/dockeruser/oc_data/data Somit sollte jetzt alles so passen und ich muss mal langsam mit der Spielerei aufhören
  • P

    Every Ubuntu Linux default wallpaper

    Linux linux
    6
    1
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    6 Beiträge
    99 Aufrufe
    julian@community.nodebb.orgJ
    > Ubuntu 8.10 Intrepid Ibex also had its namesake animal on the default wallpaper, but more subtle than the last release. That was an Ibex? All this time I thought it was a coffee stain.
  • FrankMF

    Debian Bookworm 12.9 released

    Verschoben Linux debian linux bookworm
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    342 Aufrufe
    Niemand hat geantwortet
  • FrankMF

    Vaultwarden - SystemD

    Linux vaultwarden linux
    1
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    1 Beiträge
    278 Aufrufe
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  • FrankMF

    Docker & Redis Datenbank

    Verschoben Linux docker linux redis
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    2 Beiträge
    284 Aufrufe
    FrankMF
    @FrankM sagte in Docker & Redis Datenbank: save 60 1 #save 900 1 save 300 10 save 60 10000 Hier kann man auch noch schön sehen, wie ich gekämpft habe, bis ich mal eine dump.rdb gesehen habe. Auch irgendwie logisch, das ich nie eine gesehen hatte, wenn man weiß das save 900 1 bedeutet, das er alle 900 Sekunden speichert, wenn mindestens eine Änderung vorhanden ist. Das kann dann schon was dauern. Ich habe das dann mal verkürzt, damit ich schneller ein Ergebnis habe. save 60 1 Das brachte mich dann dem Ziel näher. Danach konnte ich die dump.rdb auch finden. Bitte keine Redis DB ohne Passwort laufen lassen!
  • FrankMF

    ROCKPro64 - DKMS im Release RC12 möglich

    ROCKPro64 rockpro64
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    310 Aufrufe
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  • FrankMF

    sign_and_send_pubkey: signing failed: agent refused operation

    Linux linux
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    850 Aufrufe
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  • FrankMF

    stretch-minimal-rockpro64

    Verschoben Linux rockpro64
    3
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    3 Beiträge
    1k Aufrufe
    FrankMF
    Mal ein Test was der Speicher so kann. rock64@rockpro64:~/tinymembench$ ./tinymembench tinymembench v0.4.9 (simple benchmark for memory throughput and latency) ========================================================================== == Memory bandwidth tests == == == == Note 1: 1MB = 1000000 bytes == == Note 2: Results for 'copy' tests show how many bytes can be == == copied per second (adding together read and writen == == bytes would have provided twice higher numbers) == == Note 3: 2-pass copy means that we are using a small temporary buffer == == to first fetch data into it, and only then write it to the == == destination (source -> L1 cache, L1 cache -> destination) == == Note 4: If sample standard deviation exceeds 0.1%, it is shown in == == brackets == ========================================================================== C copy backwards : 2812.7 MB/s C copy backwards (32 byte blocks) : 2811.9 MB/s C copy backwards (64 byte blocks) : 2632.8 MB/s C copy : 2667.2 MB/s C copy prefetched (32 bytes step) : 2633.5 MB/s C copy prefetched (64 bytes step) : 2640.8 MB/s C 2-pass copy : 2509.8 MB/s C 2-pass copy prefetched (32 bytes step) : 2431.6 MB/s C 2-pass copy prefetched (64 bytes step) : 2424.1 MB/s C fill : 4887.7 MB/s (0.5%) C fill (shuffle within 16 byte blocks) : 4883.0 MB/s C fill (shuffle within 32 byte blocks) : 4889.3 MB/s C fill (shuffle within 64 byte blocks) : 4889.2 MB/s --- standard memcpy : 2807.3 MB/s standard memset : 4890.4 MB/s (0.3%) --- NEON LDP/STP copy : 2803.7 MB/s NEON LDP/STP copy pldl2strm (32 bytes step) : 2802.1 MB/s NEON LDP/STP copy pldl2strm (64 bytes step) : 2800.7 MB/s NEON LDP/STP copy pldl1keep (32 bytes step) : 2745.5 MB/s NEON LDP/STP copy pldl1keep (64 bytes step) : 2745.8 MB/s NEON LD1/ST1 copy : 2801.9 MB/s NEON STP fill : 4888.9 MB/s (0.3%) NEON STNP fill : 4850.1 MB/s ARM LDP/STP copy : 2803.8 MB/s ARM STP fill : 4893.0 MB/s (0.5%) ARM STNP fill : 4851.7 MB/s ========================================================================== == Framebuffer read tests. == == == == Many ARM devices use a part of the system memory as the framebuffer, == == typically mapped as uncached but with write-combining enabled. == == Writes to such framebuffers are quite fast, but reads are much == == slower and very sensitive to the alignment and the selection of == == CPU instructions which are used for accessing memory. == == == == Many x86 systems allocate the framebuffer in the GPU memory, == == accessible for the CPU via a relatively slow PCI-E bus. Moreover, == == PCI-E is asymmetric and handles reads a lot worse than writes. == == == == If uncached framebuffer reads are reasonably fast (at least 100 MB/s == == or preferably >300 MB/s), then using the shadow framebuffer layer == == is not necessary in Xorg DDX drivers, resulting in a nice overall == == performance improvement. For example, the xf86-video-fbturbo DDX == == uses this trick. == ========================================================================== NEON LDP/STP copy (from framebuffer) : 602.5 MB/s NEON LDP/STP 2-pass copy (from framebuffer) : 551.6 MB/s NEON LD1/ST1 copy (from framebuffer) : 667.1 MB/s NEON LD1/ST1 2-pass copy (from framebuffer) : 605.6 MB/s ARM LDP/STP copy (from framebuffer) : 445.3 MB/s ARM LDP/STP 2-pass copy (from framebuffer) : 428.8 MB/s ========================================================================== == Memory latency test == == == == Average time is measured for random memory accesses in the buffers == == of different sizes. The larger is the buffer, the more significant == == are relative contributions of TLB, L1/L2 cache misses and SDRAM == == accesses. For extremely large buffer sizes we are expecting to see == == page table walk with several requests to SDRAM for almost every == == memory access (though 64MiB is not nearly large enough to experience == == this effect to its fullest). == == == == Note 1: All the numbers are representing extra time, which needs to == == be added to L1 cache latency. The cycle timings for L1 cache == == latency can be usually found in the processor documentation. == == Note 2: Dual random read means that we are simultaneously performing == == two independent memory accesses at a time. In the case if == == the memory subsystem can't handle multiple outstanding == == requests, dual random read has the same timings as two == == single reads performed one after another. == ========================================================================== block size : single random read / dual random read 1024 : 0.0 ns / 0.0 ns 2048 : 0.0 ns / 0.0 ns 4096 : 0.0 ns / 0.0 ns 8192 : 0.0 ns / 0.0 ns 16384 : 0.0 ns / 0.0 ns 32768 : 0.0 ns / 0.0 ns 65536 : 4.5 ns / 7.2 ns 131072 : 6.8 ns / 9.7 ns 262144 : 9.8 ns / 12.8 ns 524288 : 11.4 ns / 14.7 ns 1048576 : 16.0 ns / 22.6 ns 2097152 : 114.0 ns / 175.3 ns 4194304 : 161.7 ns / 219.9 ns 8388608 : 190.7 ns / 241.5 ns 16777216 : 205.3 ns / 250.5 ns 33554432 : 212.9 ns / 255.5 ns 67108864 : 222.3 ns / 271.1 ns