![]() ![]() If a topic has three replicas and you set to 2, then you can only write to a partition in the topic if at least two out of the three replicas are in-sync. If you would like to be sure that committed data is written to more than one replica, you need to set the minimum number of in-sync replicas to a higher value. A value of 2 implies that at least 2 brokers that are ISR (including leader) must respond that they have the data. The data is considered committed when it is written to all in-sync replicas. The can be configured both at the topic and the broker-level. The request will be stored in a buffer until the leader observes that the follower replicas replicated the message, at which point a successful acknowledgement is sent back to the client. In case you can successfully install and use a package with another interpreter in the system terminal (not the one you are using in IDE), you may consider configuring it as your Project Interpreter.The lead replica for a partition checks to see if there are enough in-sync replicas for safely writing the message (controlled by the broker setting ). A screenshot showing the successful installation of the package in the system terminal with the same environment/interpreter.ģ. A screenshot or a text of the whole window with the error message.Ģ. ![]() A screenshot showing the successful import of the package in the system terminal with the same environment/interpreter.Ĥ. If it's not possible to capture all of the installed packages in one picture, it's better to provide a text file ( pip list or pip freeze > requirements.txt will do the trick )ģ. A screenshot of your Project Interpreter including the list of installed packages. The whole console output including the executed command in P圜harm.Ģ. We kindly ask you to provide it when reporting an issue. The following information will help us investigate the issue in depth. If it is installed/executed successfully - just to be sure, check one more time that you are using the same environment/interpreter and if so, file an issue to P圜harm issue tracker providing the information as described in the paragraph below. It is likely to be related to pip, your environment or some compatibility issue. Search the web for similar problems and possible solutions ( StackOverflow, python forums, etc.). If it fails with the same error as in P圜harm - the problem is most likely not related to P圜harm. It is a common case with the base environment after Anaconda/Miniconda installation. Note: be sure your terminal is not activating some environment by default. run pip install or conda install accordingly if you have problems installing a package in P圜harm You may as well copy the executed by P圜harm command from Run window, paste it to the terminal and run. run python if you have problems importing some package in P圜harm virtualenvs//bin/activate or conda activate In case you are using a virtualenv/conda environment as your Project Interpreter in P圜harm, it is enough to activate that environment in the system terminal and then do the test.Įxample for virtualenv and conda environment:Ī) Go to File | Settings | Project: | Project Interpreter ( Preferences | Project: | Project Interpreter for macOS) to find where your environment/interpreter is located ī) Open your system terminal/cmd prompt and activate the same environment Į.g. ![]() Try installing/importing a package from the system terminal (outside of P圜harm) using the same interpreter/environment. Note: Having installed something from the system terminal/cmd prompt doesn't always mean it will be available in P圜harm. ![]()
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