SuccessfulKoala55
Even if with Logger.report_scatter2d() the result is still so large ,and i found where the digits change: https://github.com/allegroai/trains/blob/master/trains/utilities/plotly_reporter.py#L122
Tolist will change the digits , but i haven't figure out why.

Hi GrumpyPenguin23 ,
Thanks your reply.
In 2, dose that mean i should develop another tool to parse the json standalone? 3 is a good solutionAnd i think what i actually need is the solution to integrate application based server,such as plotly dash or bokeh server in web ui?

@<1523701205467926528:profile|AgitatedDove14>
Hi, after rounding down numbers, the plot size decrease to 300Kb from 11M.This really works, thanks!

Maybe plotly dash can help, is there is any other solution?

SuccessfulKoala55
I have manually control the number of data under 800K, because i found the budget would be 0 if len(series_sizes) = 1, https://github.com/allegroai/trains/blob/master/trains/utilities/plotly_reporter.py#L101

Ok , i will start a new experiment to see if the error will be still there? Sorry i dont really get how to show the trains-apiserver log

SuccessfulKoala55 Thanks, If restarting server wont stop running experiments, then what i say is not necessary !

Ok, i have reverte the change ,here is two log:

Thanks for your reply!

And actually the problem here is round doesn't work before tolist

Do you mean i send the old one to you?

Cam you perhaps send the docker-compose in the current server? (已編輯)

Sorry I don't undestand what' your meaning...

And i try to upgrade elastic by your script, but it cannot success, the log shows :

Hi SuccessfulKoala55 I have run this in step 2

My docker-compose is lateset, download by this:
curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml

I know why, because i used the old apiserver.conf, i set fixed_users. After log in http://xxx:8080/login , it's ok now

But without navigation bar, it's quiet inconvenient 😢 ...Do you known why? SuccessfulKoala55

But when i click view_all, i can see all the experiments

AppetizingMouse58 After i modify the max_buckets to 200000000000, I cannot see any information in web ui. Here is the log:

May be its due to my curl?

I want to use clearml, the old one's mongo is 3.65...

The error is still there for new experiment

AgitatedDove14 OK, i see, thanks so much!

https://stackoverflow.com/questions/28287261/connection-timeout-with-elasticsearch
How to set the timeout?

SuccessfulKoala55 It seems ok

I tried as below, it can works fine:
copy(scp) /opt/trains to target machine upgrade mongo by this: https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_mongo44_migration/ mv /opt/trains /opt/clearml Increase vm.max_map_count ;Grant access to the Dockers; get lastest docker-compose.yml and pull/upBut the web ui dashboard is still weird, anyway it can work now

OK i will try again, this time i won't upgrade ES, But do increase vm.max_map_count and open access of /opt/clearm. Why i do again is i found the web ui is fine in deployed machine, but it's weird in my local machine:

SuccessfulKoala55 AppetizingMouse58 I delete logs/apiserver.log, and restart the server , and here is the log. It show cannot connect to ElasticSearch

AppetizingMouse58 here:

Hi SuccessfulKoala55 I find why the ES version is not upgraded to 7.16, because the script provided here is 7.6 https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_es7_migration