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the api docker service took a long time to start #6286

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opened 2026-02-21 18:14:57 -05:00 by yindo · 27 comments
yindo commented 2026-02-21 18:14:57 -05:00
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Originally created by @Gaocarri on GitHub (Oct 23, 2024).

Originally assigned to: @laipz8200 on GitHub.

Self Checks

  • This is only for bug report, if you would like to ask a question, please head to Discussions.
  • I have searched for existing issues search for existing issues, including closed ones.
  • I confirm that I am using English to submit this report (我已阅读并同意 Language Policy).
  • [FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）
  • Please do not modify this template :) and fill in all the required fields.

Dify version

0.10.0、0.10.1

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

When I updated from 0.9.x to 0.10.0, after docker compose up, the api service was unavailable 502, and it took a long time before it could be used（next day i found it is available）.
Then when I upgraded from 0.10.0 to 0.10.1, the same thing happened and the api service is still unavailable now, here is the docker log

docker logs dfe44f71c60b

Running migrations
None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
sagemaker.config INFO - Not applying SDK defaults from location: /etc/xdg/sagemaker/config.yaml
sagemaker.config INFO - Not applying SDK defaults from location: /root/.config/sagemaker/config.yaml
/app/api/.venv/lib/python3.10/site-packages/pydub/utils.py:170: RuntimeWarning: Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work
  warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning)

How to solve this problem

✔️ Expected Behavior

docker service starts normally

❌ Actual Behavior

docker service starts normally

Originally created by @Gaocarri on GitHub (Oct 23, 2024). Originally assigned to: @laipz8200 on GitHub. ### Self Checks - [X] This is only for bug report, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general). - [X] I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones. - [X] I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)). - [X] [FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:） - [X] Please do not modify this template :) and fill in all the required fields. ### Dify version 0.10.0、0.10.1 ### Cloud or Self Hosted Self Hosted (Docker) ### Steps to reproduce When I updated from 0.9.x to 0.10.0, after docker compose up, the api service was unavailable 502, and it took a long time before it could be used（next day i found it is available）. Then when I upgraded from 0.10.0 to 0.10.1, the same thing happened and the api service is still unavailable now, here is the docker log ``` docker logs dfe44f71c60b Running migrations None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used. sagemaker.config INFO - Not applying SDK defaults from location: /etc/xdg/sagemaker/config.yaml sagemaker.config INFO - Not applying SDK defaults from location: /root/.config/sagemaker/config.yaml /app/api/.venv/lib/python3.10/site-packages/pydub/utils.py:170: RuntimeWarning: Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning) ``` How to solve this problem ### ✔️ Expected Behavior docker service starts normally ### ❌ Actual Behavior docker service starts normally
yindo added the 🐞 bug label 2026-02-21 18:14:57 -05:00
yindo closed this issue 2026-02-21 18:14:58 -05:00
yindo commented 2026-02-21 18:14:58 -05:00
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@dosubot[bot] commented on GitHub (Oct 23, 2024):

I found some similar issues and discussions that might be relevant to your problem:

  1. Local Docker Setup Failure - This discussion is unsolved and might provide some insights into Docker setup issues [1].

  2. About docker-compose deployment issues - Another unsolved discussion that could be related to your deployment issues [2].

  3. docker version can't start up after update to v1.0 - This closed issue suggests that a "No space left on device" error can cause the API server to shut down. The solution involves cleaning up Docker resources, checking disk usage, and possibly increasing Docker disk space [3].

Regarding your specific issue, the logs indicate that none of PyTorch, TensorFlow, or Flax have been found, which might affect model availability. Additionally, there's a warning about missing ffmpeg, which is required for certain functionalities like OpenAI TTS. You should ensure that these dependencies are installed and properly configured.

To address the migration delay, ensure that the MIGRATION_ENABLED environment variable is set to 'true', as migrations are executed before the application starts. Delays can occur if the migrations are extensive or if there are database connection issues [4].

Make sure to install ffmpeg on your system to resolve the related warning. This can be done using package managers like apt on Ubuntu or brew on macOS.

To continue talking to Dosu, mention @dosu.

@dosubot[bot] commented on GitHub (Oct 23, 2024): <!-- Answer --> I found some similar issues and discussions that might be relevant to your problem: 1. [Local Docker Setup Failure](https://github.com/langgenius/dify/discussions/9344) - This discussion is unsolved and might provide some insights into Docker setup issues <sup>[[1]](https://github.com/langgenius/dify/discussions/9344)</sup>. 2. [About docker-compose deployment issues](https://github.com/langgenius/dify/discussions/3648) - Another unsolved discussion that could be related to your deployment issues <sup>[[2]](https://github.com/langgenius/dify/discussions/3648)</sup>. 3. [docker version can't start up after update to v1.0](https://github.com/langgenius/dify/issues/9692) - This closed issue suggests that a "No space left on device" error can cause the API server to shut down. The solution involves cleaning up Docker resources, checking disk usage, and possibly increasing Docker disk space <sup>[[3]](https://github.com/langgenius/dify/issues/9692)</sup>. Regarding your specific issue, the logs indicate that none of PyTorch, TensorFlow, or Flax have been found, which might affect model availability. Additionally, there's a warning about missing `ffmpeg`, which is required for certain functionalities like OpenAI TTS. You should ensure that these dependencies are installed and properly configured. To address the migration delay, ensure that the `MIGRATION_ENABLED` environment variable is set to `'true'`, as migrations are executed before the application starts. Delays can occur if the migrations are extensive or if there are database connection issues <sup>[[4]](https://github.com/langgenius/dify/blob/main/docker-legacy/docker-compose.yaml)</sup>. Make sure to install `ffmpeg` on your system to resolve the related warning. This can be done using package managers like `apt` on Ubuntu or `brew` on macOS. <!-- Dosu Comment Footer --> *To continue talking to [Dosu](https://dosu.dev), mention @dosu.*
yindo commented 2026-02-21 18:14:58 -05:00
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@Gaocarri commented on GitHub (Oct 23, 2024):

1 hour later, i found it success，what happened

Running migrations
None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
sagemaker.config INFO - Not applying SDK defaults from location: /etc/xdg/sagemaker/config.yaml
sagemaker.config INFO - Not applying SDK defaults from location: /root/.config/sagemaker/config.yaml
/app/api/.venv/lib/python3.10/site-packages/pydub/utils.py:170: RuntimeWarning: Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work
  warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning)
Preparing database migration...
Starting database migration.
INFO  [alembic.runtime.migration] Context impl PostgresqlImpl.
INFO  [alembic.runtime.migration] Will assume transactional DDL.
Database migration successful!
None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
sagemaker.config INFO - Not applying SDK defaults from location: /etc/xdg/sagemaker/config.yaml
sagemaker.config INFO - Not applying SDK defaults from location: /root/.config/sagemaker/config.yaml
/app/api/.venv/lib/python3.10/site-packages/pydub/utils.py:170: RuntimeWarning: Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work
  warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning)
[2024-10-24 03:01:46 +0000] [1] [INFO] Starting gunicorn 22.0.0
[2024-10-24 03:01:46 +0000] [1] [INFO] Listening at: http://0.0.0.0:5001 (1)
[2024-10-24 03:01:46 +0000] [1] [INFO] Using worker: gevent
[2024-10-24 03:01:46 +0000] [87] [INFO] Booting worker with pid: 87
@Gaocarri commented on GitHub (Oct 23, 2024): 1 hour later, i found it success，what happened ``` Running migrations None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used. sagemaker.config INFO - Not applying SDK defaults from location: /etc/xdg/sagemaker/config.yaml sagemaker.config INFO - Not applying SDK defaults from location: /root/.config/sagemaker/config.yaml /app/api/.venv/lib/python3.10/site-packages/pydub/utils.py:170: RuntimeWarning: Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning) Preparing database migration... Starting database migration. INFO [alembic.runtime.migration] Context impl PostgresqlImpl. INFO [alembic.runtime.migration] Will assume transactional DDL. Database migration successful! None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used. sagemaker.config INFO - Not applying SDK defaults from location: /etc/xdg/sagemaker/config.yaml sagemaker.config INFO - Not applying SDK defaults from location: /root/.config/sagemaker/config.yaml /app/api/.venv/lib/python3.10/site-packages/pydub/utils.py:170: RuntimeWarning: Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning) [2024-10-24 03:01:46 +0000] [1] [INFO] Starting gunicorn 22.0.0 [2024-10-24 03:01:46 +0000] [1] [INFO] Listening at: http://0.0.0.0:5001 (1) [2024-10-24 03:01:46 +0000] [1] [INFO] Using worker: gevent [2024-10-24 03:01:46 +0000] [87] [INFO] Booting worker with pid: 87 ```
yindo commented 2026-02-21 18:14:58 -05:00
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@wanshichenguang commented on GitHub (Oct 23, 2024):

我也经常遇见这种问题，每次更新像渡劫，更新完就进不去了。
真的不敢更新了

@wanshichenguang commented on GitHub (Oct 23, 2024): 我也经常遇见这种问题，每次更新像渡劫，更新完就进不去了。 真的不敢更新了
yindo commented 2026-02-21 18:14:58 -05:00
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@Gaocarri commented on GitHub (Oct 23, 2024):

我也经常遇见这种问题，每次更新像渡劫，更新完就进不去了。 真的不敢更新了

Did you have the problem starting from 0.10.x?

@Gaocarri commented on GitHub (Oct 23, 2024): > 我也经常遇见这种问题，每次更新像渡劫，更新完就进不去了。 真的不敢更新了 Did you have the problem starting from 0.10.x?
yindo commented 2026-02-21 18:14:58 -05:00
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@crazywoola commented on GitHub (Oct 24, 2024):

We have received several reports regarding this from 3 minutes to 1 hour. Not sure what's happening yet.

@crazywoola commented on GitHub (Oct 24, 2024): We have received several reports regarding this from 3 minutes to 1 hour. Not sure what's happening yet.
yindo commented 2026-02-21 18:14:58 -05:00
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@Gaocarri commented on GitHub (Oct 24, 2024):

We have received several reports regarding this from 3 minutes to 1 hour. Not sure what's happening yet.

this problem happened in my server machine, but in my macbook it start success in 2min.
I noticed that the warning for pydub on the macbook appears after the database is successfully migrated, but on the server the warning for pydub appears before the database is successfully migrated

macbook :

2024-10-24 11:39:00 Running migrations
2024-10-24 11:39:17 sagemaker.config INFO - Not applying SDK defaults from location: /etc/xdg/sagemaker/config.yaml
2024-10-24 11:39:17 sagemaker.config INFO - Not applying SDK defaults from location: /root/.config/sagemaker/config.yaml
2024-10-24 11:39:29 Preparing database migration...
2024-10-24 11:39:29 Starting database migration.
2024-10-24 11:39:29 Database migration successful!
2024-10-24 11:39:42 sagemaker.config INFO - Not applying SDK defaults from location: /etc/xdg/sagemaker/config.yaml
2024-10-24 11:39:42 sagemaker.config INFO - Not applying SDK defaults from location: /root/.config/sagemaker/config.yaml
2024-10-24 11:39:48  
2024-10-24 11:39:48  -------------- celery@9546df7e67b5 v5.3.6 (emerald-rush)
2024-10-24 11:39:48 --- ***** ----- 
2024-10-24 11:39:48 -- ******* ---- Linux-6.6.31-linuxkit-aarch64-with-glibc2.40 2024-10-24 03:39:48
2024-10-24 11:39:48 - *** --- * --- 
2024-10-24 11:39:48 - ** ---------- [config]
2024-10-24 11:39:48 - ** ---------- .> app:         app_factory:0xffff24d828f0
2024-10-24 11:39:48 - ** ---------- .> transport:   redis://:**@redis:6379/1
2024-10-24 11:39:48 - ** ---------- .> results:     postgresql://postgres:**@db:5432/dify
2024-10-24 11:39:48 - *** --- * --- .> concurrency: 1 (gevent)
2024-10-24 11:39:48 -- ******* ---- .> task events: OFF (enable -E to monitor tasks in this worker)
2024-10-24 11:39:48 --- ***** ----- 
2024-10-24 11:39:48  -------------- [queues]
2024-10-24 11:39:48                 .> app_deletion     exchange=app_deletion(direct) key=app_deletion
2024-10-24 11:39:48                 .> dataset          exchange=dataset(direct) key=dataset
2024-10-24 11:39:48                 .> generation       exchange=generation(direct) key=generation
2024-10-24 11:39:48                 .> mail             exchange=mail(direct) key=mail
2024-10-24 11:39:48                 .> ops_trace        exchange=ops_trace(direct) key=ops_trace
2024-10-24 11:39:48 
2024-10-24 11:39:48 [tasks]
2024-10-24 11:39:48   . schedule.clean_embedding_cache_task.clean_embedding_cache_task
2024-10-24 11:39:48   . schedule.clean_unused_datasets_task.clean_unused_datasets_task
2024-10-24 11:39:48   . tasks.add_document_to_index_task.add_document_to_index_task
2024-10-24 11:39:48   . tasks.annotation.add_annotation_to_index_task.add_annotation_to_index_task
2024-10-24 11:39:48   . tasks.annotation.batch_import_annotations_task.batch_import_annotations_task
2024-10-24 11:39:48   . tasks.annotation.delete_annotation_index_task.delete_annotation_index_task
2024-10-24 11:39:48   . tasks.annotation.disable_annotation_reply_task.disable_annotation_reply_task
2024-10-24 11:39:48   . tasks.annotation.enable_annotation_reply_task.enable_annotation_reply_task
2024-10-24 11:39:48   . tasks.annotation.update_annotation_to_index_task.update_annotation_to_index_task
2024-10-24 11:39:48   . tasks.batch_create_segment_to_index_task.batch_create_segment_to_index_task
2024-10-24 11:39:48   . tasks.clean_dataset_task.clean_dataset_task
2024-10-24 11:39:48   . tasks.clean_document_task.clean_document_task
2024-10-24 11:39:04 None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
2024-10-24 11:39:23 /app/api/.venv/lib/python3.10/site-packages/pydub/utils.py:170: RuntimeWarning: Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work
2024-10-24 11:39:23   warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning)
2024-10-24 11:39:29 INFO  [alembic.runtime.migration] Context impl PostgresqlImpl.
2024-10-24 11:39:29 INFO  [alembic.runtime.migration] Will assume transactional DDL.
2024-10-24 11:39:33 None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
2024-10-24 11:39:44 /app/api/.venv/lib/python3.10/site-packages/pydub/utils.py:170: RuntimeWarning: Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work
2024-10-24 11:39:44   warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning)
2024-10-24 11:39:48 /app/api/.venv/lib/python3.10/site-packages/celery/platforms.py:829: SecurityWarning: You're running the worker with superuser privileges: this is
2024-10-24 11:39:48 absolutely not recommended!

I can't tell if this is related to the issue, I'm just reporting the phenomenon

@Gaocarri commented on GitHub (Oct 24, 2024): > We have received several reports regarding this from 3 minutes to 1 hour. Not sure what's happening yet. this problem happened in my server machine, but in my macbook it start success in 2min. I noticed that the warning for pydub on the macbook appears after the database is successfully migrated, but on the server the warning for pydub appears before the database is successfully migrated macbook : ``` 2024-10-24 11:39:00 Running migrations 2024-10-24 11:39:17 sagemaker.config INFO - Not applying SDK defaults from location: /etc/xdg/sagemaker/config.yaml 2024-10-24 11:39:17 sagemaker.config INFO - Not applying SDK defaults from location: /root/.config/sagemaker/config.yaml 2024-10-24 11:39:29 Preparing database migration... 2024-10-24 11:39:29 Starting database migration. 2024-10-24 11:39:29 Database migration successful! 2024-10-24 11:39:42 sagemaker.config INFO - Not applying SDK defaults from location: /etc/xdg/sagemaker/config.yaml 2024-10-24 11:39:42 sagemaker.config INFO - Not applying SDK defaults from location: /root/.config/sagemaker/config.yaml 2024-10-24 11:39:48 2024-10-24 11:39:48 -------------- celery@9546df7e67b5 v5.3.6 (emerald-rush) 2024-10-24 11:39:48 --- ***** ----- 2024-10-24 11:39:48 -- ******* ---- Linux-6.6.31-linuxkit-aarch64-with-glibc2.40 2024-10-24 03:39:48 2024-10-24 11:39:48 - *** --- * --- 2024-10-24 11:39:48 - ** ---------- [config] 2024-10-24 11:39:48 - ** ---------- .> app: app_factory:0xffff24d828f0 2024-10-24 11:39:48 - ** ---------- .> transport: redis://:**@redis:6379/1 2024-10-24 11:39:48 - ** ---------- .> results: postgresql://postgres:**@db:5432/dify 2024-10-24 11:39:48 - *** --- * --- .> concurrency: 1 (gevent) 2024-10-24 11:39:48 -- ******* ---- .> task events: OFF (enable -E to monitor tasks in this worker) 2024-10-24 11:39:48 --- ***** ----- 2024-10-24 11:39:48 -------------- [queues] 2024-10-24 11:39:48 .> app_deletion exchange=app_deletion(direct) key=app_deletion 2024-10-24 11:39:48 .> dataset exchange=dataset(direct) key=dataset 2024-10-24 11:39:48 .> generation exchange=generation(direct) key=generation 2024-10-24 11:39:48 .> mail exchange=mail(direct) key=mail 2024-10-24 11:39:48 .> ops_trace exchange=ops_trace(direct) key=ops_trace 2024-10-24 11:39:48 2024-10-24 11:39:48 [tasks] 2024-10-24 11:39:48 . schedule.clean_embedding_cache_task.clean_embedding_cache_task 2024-10-24 11:39:48 . schedule.clean_unused_datasets_task.clean_unused_datasets_task 2024-10-24 11:39:48 . tasks.add_document_to_index_task.add_document_to_index_task 2024-10-24 11:39:48 . tasks.annotation.add_annotation_to_index_task.add_annotation_to_index_task 2024-10-24 11:39:48 . tasks.annotation.batch_import_annotations_task.batch_import_annotations_task 2024-10-24 11:39:48 . tasks.annotation.delete_annotation_index_task.delete_annotation_index_task 2024-10-24 11:39:48 . tasks.annotation.disable_annotation_reply_task.disable_annotation_reply_task 2024-10-24 11:39:48 . tasks.annotation.enable_annotation_reply_task.enable_annotation_reply_task 2024-10-24 11:39:48 . tasks.annotation.update_annotation_to_index_task.update_annotation_to_index_task 2024-10-24 11:39:48 . tasks.batch_create_segment_to_index_task.batch_create_segment_to_index_task 2024-10-24 11:39:48 . tasks.clean_dataset_task.clean_dataset_task 2024-10-24 11:39:48 . tasks.clean_document_task.clean_document_task 2024-10-24 11:39:04 None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used. 2024-10-24 11:39:23 /app/api/.venv/lib/python3.10/site-packages/pydub/utils.py:170: RuntimeWarning: Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work 2024-10-24 11:39:23 warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning) 2024-10-24 11:39:29 INFO [alembic.runtime.migration] Context impl PostgresqlImpl. 2024-10-24 11:39:29 INFO [alembic.runtime.migration] Will assume transactional DDL. 2024-10-24 11:39:33 None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used. 2024-10-24 11:39:44 /app/api/.venv/lib/python3.10/site-packages/pydub/utils.py:170: RuntimeWarning: Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work 2024-10-24 11:39:44 warn("Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work", RuntimeWarning) 2024-10-24 11:39:48 /app/api/.venv/lib/python3.10/site-packages/celery/platforms.py:829: SecurityWarning: You're running the worker with superuser privileges: this is 2024-10-24 11:39:48 absolutely not recommended! ``` I can't tell if this is related to the issue, I'm just reporting the phenomenon
yindo commented 2026-02-21 18:14:59 -05:00
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@wanshichenguang commented on GitHub (Oct 24, 2024):

我也经常遇见这种问题，每次更新像渡劫，更新完就进不去了。 真的不敢更新了

Did you have the problem starting from 0.10.x?

I encountered this in previous versions as well.

@wanshichenguang commented on GitHub (Oct 24, 2024): > > 我也经常遇见这种问题，每次更新像渡劫，更新完就进不去了。 真的不敢更新了 > > Did you have the problem starting from 0.10.x? I encountered this in previous versions as well.
yindo commented 2026-02-21 18:14:59 -05:00
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@Gaocarri commented on GitHub (Oct 28, 2024):

Hi, @laipz8200, i tried and same in 0.10.2, could u possibly consider this issue?

@Gaocarri commented on GitHub (Oct 28, 2024): Hi, @laipz8200, i tried and same in 0.10.2, could u possibly consider this issue?
yindo commented 2026-02-21 18:14:59 -05:00
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@Hanfee commented on GitHub (Oct 30, 2024):

I am also finding that after updating to 0.10.2 , restarting the container is blocked by one and the restart fails!

@Hanfee commented on GitHub (Oct 30, 2024): I am also finding that after updating to 0.10.2 , restarting the container is blocked by one and the restart fails!
yindo commented 2026-02-21 18:14:59 -05:00
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@Gaocarri commented on GitHub (Oct 30, 2024):

I am also finding that after updating to 0.10.2 , restarting the container is blocked by one and the restart fails!

I confirm that my problem occured from 0.9.2 -> 0.10.0, 0.9.2 is ok，did your 0.10.0 and 0.10.1 normal ?

@Gaocarri commented on GitHub (Oct 30, 2024): > I am also finding that after updating to 0.10.2 , restarting the container is blocked by one and the restart fails! I confirm that my problem occured from 0.9.2 -> 0.10.0, 0.9.2 is ok，did your 0.10.0 and 0.10.1 normal ?
yindo commented 2026-02-21 18:14:59 -05:00
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@cjhgit commented on GitHub (Oct 30, 2024):

I meet same problem. how to resolve it?

@cjhgit commented on GitHub (Oct 30, 2024): I meet same problem. how to resolve it?
yindo commented 2026-02-21 18:14:59 -05:00
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@Gaocarri commented on GitHub (Oct 30, 2024):

I meet same problem. how to resolve it?

@cjhgit I could only wait 1 hour......

@Gaocarri commented on GitHub (Oct 30, 2024): > I meet same problem. how to resolve it? @cjhgit I could only wait 1 hour......
yindo commented 2026-02-21 18:14:59 -05:00
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@cjhgit commented on GitHub (Nov 1, 2024):

I meet same problem. how to resolve it?

I solved this problem by using a high-performance computer. It wasted a lot of time

@cjhgit commented on GitHub (Nov 1, 2024): > I meet same problem. how to resolve it? I solved this problem by using a high-performance computer. It wasted a lot of time
yindo commented 2026-02-21 18:14:59 -05:00
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@Gaocarri commented on GitHub (Nov 3, 2024):

I meet same problem. how to resolve it?

I solved this problem by using a high-performance computer. It wasted a lot of time

what reason？

@Gaocarri commented on GitHub (Nov 3, 2024): > > I meet same problem. how to resolve it? > > I solved this problem by using a high-performance computer. It wasted a lot of time what reason？
yindo commented 2026-02-21 18:14:59 -05:00
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@prosscode commented on GitHub (Nov 11, 2024):

any progress about this issue?

@prosscode commented on GitHub (Nov 11, 2024): any progress about this issue?
yindo commented 2026-02-21 18:14:59 -05:00
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@laipz8200 commented on GitHub (Nov 11, 2024):

In fact, I haven't encountered this error myself. I hope you can provide the system you're using, the Docker version, and detailed logs to help us resolve the issue.

@laipz8200 commented on GitHub (Nov 11, 2024): In fact, I haven't encountered this error myself. I hope you can provide the system you're using, the Docker version, and detailed logs to help us resolve the issue.
yindo commented 2026-02-21 18:14:59 -05:00
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@Gaocarri commented on GitHub (Nov 11, 2024):

In fact, I haven't encountered this error myself. I hope you can provide the system you're using, the Docker version, and detailed logs to help us resolve the issue.

server is alibaba ECS:
image

other infos:
image

Docker version:
image

The docker log has been provided at the beginning of the issue

@Gaocarri commented on GitHub (Nov 11, 2024): > In fact, I haven't encountered this error myself. I hope you can provide the system you're using, the Docker version, and detailed logs to help us resolve the issue. server is alibaba ECS: ![image](https://github.com/user-attachments/assets/119a67bd-349e-4855-b00f-685b3de66bde) other infos: ![image](https://github.com/user-attachments/assets/8ecb522c-c41b-49d0-9449-fa411192c546) Docker version: ![image](https://github.com/user-attachments/assets/fd6fce3f-8ce4-4e25-b5dc-0391a59345c6) The docker log has been provided at the beginning of the issue
yindo commented 2026-02-21 18:14:59 -05:00
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@prosscode commented on GitHub (Nov 12, 2024):

the previous issue ticket: issue/9874

image

Docker Engine version: 27.3.1
Docker Compose version v2.29.7

@prosscode commented on GitHub (Nov 12, 2024): the previous issue ticket: [issue/9874](https://github.com/langgenius/dify/issues/9874) <img width="344" alt="image" src="https://github.com/user-attachments/assets/7007ccd3-0f20-4449-99fc-4257cc894dba"> Docker Engine version: 27.3.1 Docker Compose version v2.29.7
yindo commented 2026-02-21 18:14:59 -05:00
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@Gaocarri commented on GitHub (Nov 17, 2024):

@laipz8200 Any progress? Have you reproduced this problem using other test environments?

@Gaocarri commented on GitHub (Nov 17, 2024): @laipz8200 Any progress? Have you reproduced this problem using other test environments?
yindo commented 2026-02-21 18:14:59 -05:00
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@laipz8200 commented on GitHub (Nov 19, 2024):

@Gaocarri We tested in an amd64 environment but still couldn’t pinpoint what happened. Could you try changing the operating system (e.g., to Ubuntu or Debian) and disabling swap to see if there are any changes?

@laipz8200 commented on GitHub (Nov 19, 2024): @Gaocarri We tested in an amd64 environment but still couldn’t pinpoint what happened. Could you try changing the operating system (e.g., to Ubuntu or Debian) and disabling swap to see if there are any changes?
yindo commented 2026-02-21 18:15:00 -05:00
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@prosscode commented on GitHub (Nov 20, 2024):

is normal launch api service when you update to latest version?

@prosscode commented on GitHub (Nov 20, 2024): is normal launch api service when you update to latest version?
yindo commented 2026-02-21 18:15:00 -05:00
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@Gaocarri commented on GitHub (Nov 20, 2024):

@Gaocarri We tested in an amd64 environment but still couldn’t pinpoint what happened. Could you try changing the operating system (e.g., to Ubuntu or Debian) and disabling swap to see if there are any changes?

It's not practical for me to change the system ): maybe i need to try to start a new service, have you also reproduced this problem?

@Gaocarri commented on GitHub (Nov 20, 2024): > @Gaocarri We tested in an amd64 environment but still couldn’t pinpoint what happened. Could you try changing the operating system (e.g., to Ubuntu or Debian) and disabling swap to see if there are any changes? It's not practical for me to change the system ): maybe i need to try to start a new service, have you also reproduced this problem?
yindo commented 2026-02-21 18:15:00 -05:00
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@laipz8200 commented on GitHub (Dec 6, 2024):

Hi @Gaocarri, we have had a lot of updates recently. Are you still facing this issue in the newest version?

@laipz8200 commented on GitHub (Dec 6, 2024): Hi @Gaocarri, we have had a lot of updates recently. Are you still facing this issue in the newest version?
yindo commented 2026-02-21 18:15:00 -05:00
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@prosscode commented on GitHub (Dec 6, 2024):

note I updated to version 0.12.1 and now startup is normal.

@prosscode commented on GitHub (Dec 6, 2024): note I updated to version 0.12.1 and now startup is normal.
yindo commented 2026-02-21 18:15:00 -05:00
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@bikevit2008 commented on GitHub (Dec 17, 2024):

I have same problem
on any version on cloud VPS

i have 8gb ram and 4 vCPU

root@cv4338665:~/dify/docker# lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description:    Ubuntu 24.04.1 LTS
Release:        24.04
Codename:       noble
root@cv4338665:~/dify/docker#
@bikevit2008 commented on GitHub (Dec 17, 2024): I have same problem on any version on cloud VPS i have 8gb ram and 4 vCPU ```sh root@cv4338665:~/dify/docker# lsb_release -a No LSB modules are available. Distributor ID: Ubuntu Description: Ubuntu 24.04.1 LTS Release: 24.04 Codename: noble root@cv4338665:~/dify/docker# ```
yindo commented 2026-02-21 18:15:00 -05:00
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@Hanfee commented on GitHub (Dec 19, 2024):

Upgraded 0.12.x, 0.13.x ,0.14.x, no such problem found.

@Hanfee commented on GitHub (Dec 19, 2024): Upgraded 0.12.x, 0.13.x ,0.14.x, no such problem found.
yindo commented 2026-02-21 18:15:00 -05:00
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@Gaocarri commented on GitHub (Feb 6, 2025):

after 0.13.x noproblem

@Gaocarri commented on GitHub (Feb 6, 2025): after 0.13.x noproblem
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