Deduplication: Not found or no asset.delete access

[shad00m]

The bug

When trying to deduplicate all my pictures in the GUI it gives me the error Not found or no asset.delete access

Trying to deduplicate them one by one works, and it can move them to the trash just fine. There's also no problem cleaning the trash.
All my photos are in an external Library, and this library has the same permissions set to all files and folders in DSM.
I assume 154637 duplicates is too much for it or there's a problem with "some" duplicates? How can I find which duplicate is causing this error?

The OS that Immich Server is running on

Synology DSM via Portainer

Version of Immich Server

v1.123.0

Version of Immich Mobile App

none

Platform with the issue

• Server
• Web
• Mobile

Your docker-compose.yml content

name: immich

services:
  immich-server:
    container_name: immich_server
    image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
    # extends:
    #   file: hwaccel.transcoding.yml
    #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
    volumes:
      # Do not edit the next line. If you want to change the media storage location on your system, edit the value of UPLOAD_LOCATION in the .env file
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
      - /etc/localtime:/etc/localtime:ro
      - /volume1/homes/shadoom/Photos:/home/photos
    env_file:
      - stack.env
    ports:
      - '2283:2283'
    depends_on:
      - immich_redis
      - database
    restart: always
    healthcheck:
      disable: false

  immich-machine-learning:
    container_name: immich_machine_learning
    # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
    # Example tag: ${IMMICH_VERSION:-release}-cuda
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
    # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
    #   file: hwaccel.ml.yml
    #   service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
    volumes:
      - /volume2/docker/immich/cache:/cache
    env_file:
      - stack.env
    restart: always
    healthcheck:
      disable: false

  immich_redis:
    container_name: immich_redis
    image: docker.io/redis:6.2-alpine@sha256:eaba718fecd1196d88533de7ba49bf903ad33664a92debb24660a922ecd9cac8

    healthcheck:
      test: redis-cli ping || exit 1
    restart: always

  database:
    container_name: immich_postgres
    image: docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
    environment:
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_DB: ${DB_DATABASE_NAME}
      POSTGRES_INITDB_ARGS: '--data-checksums'
    volumes:
      # Do not edit the next line. If you want to change the database storage location on your system, edit the value of DB_DATA_LOCATION in the .env file
      - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
    command: >-
      postgres
      -c shared_preload_libraries=vectors.so
      -c 'search_path="$$user", public, vectors'
      -c logging_collector=on
      -c max_wal_size=2GB
      -c shared_buffers=512MB
      -c wal_compression=on
    restart: always

Your .env content

UPLOAD_LOCATION=/volume2/docker/immich/upload
DB_DATA_LOCATION=/volume2/docker/immich/db
IMMICH_VERSION=release
DB_PASSWORD=dbpassword
DB_USERNAME=postgres
DB_DATABASE_NAME=immich
REDIS_HOSTNAME=immich_redis

Reproduction steps

1. Review Duplicates

2. Click "Deduplicate All"

3. Confirm
   

4. Top right corner shows this error:
   

...

Relevant log output

[Nest] 17  - 12/20/2024, 12:10:48 PM   DEBUG [Api:LoggingInterceptor~52hrbm3m] DELETE /api/assets 204 3120.61ms ::ffff:172.27.0.1
[Nest] 17  - 12/20/2024, 12:10:48 PM VERBOSE [Api:LoggingInterceptor~52hrbm3m] {"ids":["46d68ba2-257b-4b9d-b66d-6bf8067854b5","313bc638-4f07-4322-a3e1-6b6ab63c650a","2f92f43d-6e50-4bc8-8572-5cfa36f76a1f","3f6ff897-8377-4d0a-84c7-a48faa29de08","ccd3e0a9-bab3-4ddc-9c0e-c5be3dc8ed8f","a25be367-cbe3-4801-85ae-860b056fe426","c891967f-ca26-4829-9a68-ee51ef2c8e94","3daf6043-e213-4aec-aaa8-bc43d1b0fded","6ba23e1e-795c-4abc-acd4-b570dab06c94","a1148fb2-4279-43df-b045-0fdc30df02e2","2c8cdb68-2b38-416d-8e56-2eb67473ceaf","a58b08dc-17a0-45f2-92f9-aec433bf8d05","25c2be32-8ca4-4bfb-8ab6-d7fe250654c6","877e849d-b8ee-41c9-b1dc-740d7f452aff","5dfc9fb6-5ca2-41f8-8808-4553dbeebb48","caaf409e-f6d6-4e80-825a-a19ee85b6f68","83fa2be9-dc53-41f6-96d1-81444be77ca4","f4d5de3f-f46b-4e0b-b09e-a8391fe85934","39ad0e6f-dc20-4ce0-b486-2163defa8e56","e208a51e-8af5-47fd-a8df-7a8a0a1bae19","d7a8425b-443c-46da-9b19-4096dc15d61c","17087e6f-17b7-4e3c-8910-24f7643340f0","4096ca51-d22c-4ae1-bef6-691a9ca0d2a5","63a8436e-ec47-4b83-bf3f-9a2cae800953","4bd3ae2a-a936-4426-856e-ee1e024a63c5","9d27b9ce-a40c-427a-9d00-46582f357a30","b405e88f-ec9b-4cad-ad21-45944a9595aa","580c2b04-57ff-4afa-b6a2-11172a36c973","b0cc779b-49b4-40d4-ba7a-c13320c2ae8d","0d2b2504-1f45-4ac0-bb28-9153d1e55f65","61f782e4-2fac-4c10-8cc4-9c1a521cdf8e","80645d58-641f-43ec-bf1f-273529add736","0264db4a-38bb-42d3-a8b8-ec61f60db22a","d1a9469b-79c1-4946-b9a4-c7c55367a208","fad98ac3-4676-4d9d-a6eb-1858e459c062","31b6d2f2-c121-4afb-9558-398fc09e3750","60ba97c3-309c-4794-bcae-f8dd1830722b","01fb2101-41f5-4ac0-8a6f-1df50262395c","2e9b158a-99cc-4fd5-9983-f0ade1a0849d","f0a282df-26d5-4036-a74b-d18e850dccf3","b34dda89-60ce-499a-b26b-ec1c2cd17906","86b2f26a-d368-4ee9-ae48-684cdb269288","5dfcdbe2-83ae-4a38-a3b9-468c7f869769","9414eee5-28e5-4831-985a-9e041eb721ff","49f4de11-313a-44a1-8176-34bfced30dfb","2e03f81f-0de7-4f04-8011-1a11b7076bcd","70e14285-73cd-4099-bca8-3059855e1e62","a57e4809-3c61-4539-bb5a-748fd3d2441d","fbdfa59a-2773-4a53-9901-422d0fa462bf","b89f075d-e127-481a-8098-0b9133c36df5","43b4e984-104e-41c3-878e-dd6571e71bf4","26938466-2f41-4d90-8b41-598668151a27","9bf4b23f-cc97-44ae-879b-727821f59d8e","1b6d0dda-6d57-4c29-b702-fef29f70ace9","1050890a-67b8-4e5e-9ede-dad3c0663d85","4895fce1-57cf-4ede-b863-dd58a291f61b","94c185ab-ce0f-4604-96fd-9f05e206e49a","a1fbcd7e-39f2-47f0-ba1f-af106c149123","8dd8d079-e9ab-4fd5-bf8f-a7b1134175d8","3119ab6b-1c77-4e78-9fab-360b246ba6a7","29ebab94-fa5a-45ee-88e9-cdd4bffa9c42","e1ea3d77-90c1-43bd-b914-ff455af595f5","83a8db03-2cba-46ed-882e-77d063149a76","bd17fa44-0e7f-49b2-aaef-e5ce7696ba8a","97bb3e84-15c0-49e5-a761-5ca56129ad61","6309034b-7304-42f4-9f10-2a6d85019f05","5500027b-48a2-4bc5-869f-ff209eea6190","1014ee7c-a695-4ee0-b069-7824f6676c6f","aac4e5f2-b187-4386-9002-68535989e96d","54ca49ac-e894-4c39-923d-f5df0449a5d8","47782279-6c2d-46d0-bb1c-29880ac8b3b7","68824585-98c3-4afb-93ff-46f3c4cbf6ab","ff6fd083-5ea7-4c59-9496-c56db5a59ecf","d4f71d8d-04a7-458a-944e-13b6e0671a2c","74be561f-14d8-419d-b49e-fd67d1371129","9a48b898-61f6-47c0-a127-c3e951da7cb2","6dc246b1-04f3-403e-b672-c269cad6c639","ff656157-a2be-44ce-996d-0e377ce156eb","7a3440a5-6de0-4575-a20c-37b28201a4db","5ebd07cf-be02-4eaa-890c-d5efd24796fc","5ede83d4-dd0f-4bdd-9197-abe2e6ae9590","429179c2-8a73-4f0a-84a5-a3fccb1336ed","881968ca-88ce-4733-a790-0207e10b3ba9","43842535-3727-4437-9617-3256609172d2","58783f5c-90c8-41cf-9d4a-9a08ce3822ad","eaee754c-296a-46f2-ad59-dc6b10820882","866aac07-5283-46a3-a254-8a58f449bdcb","36a12f0a-e7cc-4558-bab8-d3e03f901215","3a0a3163-ed0d-4e70-83dd-63501f14c158","1dda6f53-8b56-4b64-98de-96be938336ef","9a83fbd3-058a-47cf-aa99-7ee3e0901ee4","f3ae5dc3-c756-4bab-bf8c-029afd313c0b","fc4c46bc-de7d-443b-b74c-a62d15fbf0cd","26c4aa96-6b92-49c0-aba7-f286a7c2b834","da042d54-2881-48fc-a482-8b5daba6355a","28d6e8f1-e548-4b44-90cd-f463a68b1fb4","9f02d9aa-bb04-4b26-81c0-87bbe605c73d","a3c794a5-515b-48f6-8811-2d6664cbb82a","d3131c64-88b7-4d71-8b06-a9640e14107a","ff593132-9db4-41c8-b14f-e84d92baa699","...and 154637 more"],"force":false}
[Nest] 17  - 12/20/2024, 12:10:48 PM   DEBUG [Api:GlobalExceptionFilter~52hrbm3m] HttpException(400): {"message":"Not found or no asset.delete access","error":"Bad Request","statusCode":400}
[Nest] 17  - 12/20/2024, 12:11:04 PM   DEBUG [Api:LoggingInterceptor~1xlr9aph] GET /api/server/ping 200 0.22ms ::ffff:127.0.0.1

Additional information

[ASupinski]

Identical issue with me, also a new setup running on the latest recommended docker with a single giant external library. Also able to remove duplicates one at a time, same error in logs and in browser (firefox). Happy to provide any additional information possible.