Since I have mounted NAS, I want my server to get directly access to NAS.

Is it ok if the path of ServerA and ServerB is difference.
For example, ServerA stores file at /opt/clearml but ServeB stores at /some_path/clearml

Did I migrate the data correctly using the steps I took?

After I did
docker-compose -f docker-compose.yml down docker-compose -f docker-compose.yml up -d
Then elasticsearch container got this error

` ElasticsearchException[failed to bind service]; nested: IOException[failed to test writes in data directory [/usr/share/elasticsearch/data/nodes/0/indices/mQ-x_DoZQ-iZ7OfIWGZ72g/_state] write permission is required]; nested: AccessDeniedException[/usr/share/elasticsearch/data/nodes/0/indices/mQ-x_DoZQ-iZ7OfIWGZ72g/_state/.es_temp_file];
clearml-el...

Hello, after did the steps you mentioned https://clearml.slack.com/archives/CTK20V944/p1659702067809619?thread_ts=1659694970.919069&cid=CTK20V944
The server is now can start properly but Clearml UI doesn’t show any experiments that I cloned from serverA. Any suggestion? thank you!

I’ve follow the installation steps that mentioned in this page
https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_linux_mac/

Then I replaced /opt/clearml/data of ServerB by ServerA /opt/clearml/data .

I already did
chmod 777 on /opt/clearml/data or there’s other folders I need to grant the permission

Yes, the latest version.

Oh, I just realized that the mondo version between ServerA and ServerB is mismatch.
The problem was resolved by updating the mongo image to 4.0.23 as serverA.

There’s another log from elastic contatiner.
The logs is too long, I have to store them in txt file.

` {"type": "server", "timestamp": "2021-12-22T10:56:48,500Z", "level": "DEBUG", "component": "o.e.a.s.TransportSearchAction", "cluster.name": "clearml", "node.name": "clearml", "message": "All shards failed for phase: [query]", "cluster.uuid": "0aOZYv7bQD--rcBaPQvSJQ", "node.id": "6hqtnbZLSyCot85eDVoHAw" }
{"type": "server", "timestamp": "2021-12-22T10:56:48,500Z", "level": "WARN", "component": "r.suppressed", "cluster.name": "clearml", "node.name": "clearml", "message": "path: /events-log-d...

I think these are all errors in container.
I also attached all logs in file.

No, the run out of space occurred 3 day ago but MongoDB issue just occurred today.

Restarting the MongoDB doesn’t help as well.

mongo: 3.6.5, clearml-server: lastest

Actually run out of space was a issue, but we already move the clearml-storage to the bigger one.

Yes, I backed up only Mongo path.

Yes, It was working.
When this error occurred every experiment projects in Clearml UI are disappeared.

Then I did docker container ls ever containers work fine, except the mongo which pushed to “restarting” status.

The error attached in this post is logs from mongo container.

OS: Ubuntu
It works fine, but after sometimes MongoDB stops working. We find out that MongoDB is restarting from docker-compose ps.

We also tried to change the engine from “WiredTiger” to “mmpav1",

Just for update. This issue fixed by
Start mongo container in bash mode. [sudo docker-compose -f docker-compose.yml run mongo bash] Run mongo db repair. [mongod --dbpath /data/db --repair] The DB is repaired successfully and restored.

I’ll try that approach

Sorry, how to create a new version of dataset.

I execute add_file and then, upload.

I mean migrating the data from serverA to serverB.
I just replace serverB with ServerA’s /opt/clearml/data .

I’ll try that, thank you

` import tensorflow as tf
from clearml import Model
from clearml.model import InputModel

def get_model_id(model_name,tags = None):
print("Model name: ", model_name)
print("Model tags: ", tags)
response = Model.query_models(model_name=model_name,
tags=tags)
if not response:
raise ValueError('your model name and tags result in empty query')
model_data= None
for model_obj in response:
if model_obj.name == model_name:
...

Thank you :)

My code are attached above. The version of Clearml is 1.0.5.

Example of filename: patch_ver3_dense_image_model_2 - srr_b4v2-large - step2 - patch_ver3_dense_image_model_2 - srr_b4v2-large - step1 - patch_ver3_dense_image_model_2_weights.03-1.31_weights.15-0.26_weights.10-0.18.h5