init.sh | Linux 环境部署脚本,一键配置系统设置,安装常用工具/开发环境/渗透测试工具等
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Linux 环境部署脚本,一键配置系统设置,安装常用工具/开发环境/渗透测试工具等
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QUESTION
I have a function to download a file which is async:
...ANSWER
Answered 2022-Feb-14 at 18:37An established pattern for this is here.
From a synchronous block, build a new runtime then call block_on()
on it:
QUESTION
I'm trying to have Terraform run my bash script after deploying my Bitnami EC2 instance (AMI: ami-0f185ef928bf37528
). I can find the file at /var/lib/cloud/instance/scripts/part-001
but it isn't being run.
My desired script is a little more complicated but even this isn't being run:
...ANSWER
Answered 2022-Apr-02 at 22:56I tried to replicate your issue, but your code works perfectly:
QUESTION
i'm having a issue setting up cordova on my mac.
I get this error No installed build tools found. Install the Android build tools version 30.0.3 or higher.
I have already installed the build tools using android studio. But from what i notice cordova isn't using it when i run 'cordova build android'
my build logs
...ANSWER
Answered 2022-Mar-29 at 10:17I had the same problem and this worked for me on my mac.
Add the path to your ~/.bash_profile ( /users/ad8kunle/.bash_profile )
QUESTION
I use Gitlab runner on an EC2 to build
, test
and deploy
docker images on a ECS.
I start my CI workflow using a "push/pull" logic: I build all my docker images during the first stage and push them to my gitlab repository then I pull them during the test
stage.
I thought that I could drastically improve the workflow time by keeping the image builded during the build
stage between build
and test
stages.
My gitlab-ci.yml
looks like this:
ANSWER
Answered 2022-Mar-18 at 04:00Try mounting the "Docker Root Dir" as a persistent/nfs volume that is shared by the fleet of runners.
Docker images are stored in "Docker Root Dir" path. You can find out your docker root by running:
QUESTION
I am trying to deploy a spring boot docker container on OpenJDK image into APP service on Azure. What baffles me is the time the web app takes on initial run (only during the initial run). I also see on the KUDU console that the container started up in less than 6 seconds but the APP service ran for more than 200 seconds and fails. Please see the attached screenshot. Has some one faced this issue before?
Edit 1: Adding the Docker File
...ANSWER
Answered 2022-Mar-16 at 17:12So after long research and help from MS support, Finally figured out the issue. As I said before, it is not related to how the container starts up as the container was starting up in less than 6 seconds. The issue we noticed is that when the start up fails due to HTTP health-check timeout, the app is starting up with port 80 as the listening port. When it is successful, it starts up with port 8080.
Spring-Boot default listening port is 8080. The fix is to manually add the configuration for the APP service
QUESTION
When i set my airflow on kubernetes infra i got some problem. I refered this blog. and some setting was changed for my situation. and I think everything work out but I run dag manually or scheduled. worker pod work nicely ( I think ) but web-ui always didn't change the status just running and queued... I want to know what is wrong...
here is my setting value.
Version info
...ANSWER
Answered 2022-Mar-15 at 04:01the issue is with the airflow Docker image you are using.
The ENTRYPOINT
I see is a custom .sh
file you have written and that decides whether to run a webserver or scheduler.
Airflow scheduler submits a pod for the tasks with args as follows
QUESTION
When I try to run the (simplified/illustrative) Spark/Python script shown below in the Mac Terminal (Bash), errors occur if imports are used for numpy
, pandas
, or pyspark.ml
. The sample Python code shown here runs well when using the 'Section 1' imports listed below (when they include from pyspark.sql import SparkSession
), but fails when any of the 'Section 2' imports are used. The full error message is shown below; part of it reads: '..._multiarray_umath.cpython-310-darwin.so' (mach-o file, but is an incompatible architecture (have 'arm64', need 'x86_64')
. Apparently, there was a problem importing NumPy 'c-extensions' to some of the computing nodes. Is there a way to resolve the error so a variety of pyspark.ml
and other imports will function normally? [Spoiler alert: It turns out there is! See the solution below!]
The problem could stem from one or more potential causes, I believe: (1) improper setting of the environment variables (e.g., PATH
), (2) an incorrect SparkSession
setting in the code, (3) an omitted but necessary Python module import, (4) improper integration of related downloads (in this case, Spark 3.2.1 (spark-3.2.1-bin-hadoop2.7), Scala (2.12.15), Java (1.8.0_321), sbt (1.6.2), Python 3.10.1, and NumPy 1.22.2) in the local development environment (a 2021 MacBook Pro (Apple M1 Max) running macOS Monterey version 12.2.1), or (5) perhaps a hardware/software incompatibility.
Please note that the existing combination of code (in more complex forms), plus software and hardware runs fine to import and process data and display Spark dataframes, etc., using Terminal--as long as the imports are restricted to basic versions of pyspark.sql
. Other imports seem to cause problems, and probably shouldn't.
The sample code (a simple but working program only intended to illustrate the problem):
...ANSWER
Answered 2022-Mar-12 at 22:10Solved it. The errors experienced while trying to import numpy c-extensions involved the challenge of ensuring each computing node had the environment it needed to execute the target script (test.py
). It turns out this can be accomplished by zipping the necessary modules (in this case, only numpy
) into a tarball (.tar.gz) for use in a 'spark-submit' command to execute the Python script. The approach I used involved leveraging conda-forge/miniforge to 'pack' the required dependencies into a file. (It felt like a hack, but it worked.)
The following websites were helpful for developing a solution:
- Hyukjin Kwon's blog, "How to Manage Python Dependencies in PySpark" https://databricks.com/blog/2020/12/22/how-to-manage-python-dependencies-in-pyspark.html
- "Python Package Management: Using Conda": https://spark.apache.org/docs/latest/api/python/user_guide/python_packaging.html
- Alex Ziskind's video "python environment setup on Apple Silicon | M1, M1 Pro/Max with Conda-forge": https://www.youtube.com/watch?v=2Acht_5_HTo
- conda-forge/miniforge on GitHub: https://github.com/conda-forge/miniforge (for Apple chips, use the
Miniforge3-MacOSX-arm64
download for OS X (arm64, Apple Silicon).
Steps for implementing a solution:
- Install conda-forge/miniforge on your computer (in my case, a MacBook Pro with Apple silicon), following Alex's recommendations. You do not yet need to activate any conda environment on your computer. During installation, I recommend these settings:
QUESTION
After installing sdkman, and adding the following two lines to my ~/.bashrc
:
ANSWER
Answered 2022-Mar-08 at 14:00Are there any other alternatives that would allow calling the functions defined in the parent environment from Java?
Yes there is but you'll have to source
the .bashrc
file first.
QUESTION
for my measurements on a Ubuntu OS I need to open in total 8 terminal and run services/commands that requires sudo. So the idea is to do that in a bash script.
What I want: call "sudo ./init.sh" ones, enter sudo password and then all 8 terminals should open parallel and execute the services/commands without any further sudo password request.
What I tried: (example with 2 terminals)
...ANSWER
Answered 2022-Feb-25 at 16:30Easier way is to use tmux
(see) to do it.
You can do initial sudo in terminal. Then launch the tmux with the commands you need to run in parallel (you can use the sample command below and add it in script).
QUESTION
We are seeing some 404 logs coming from a bot in Azure always On. It trigged every 5min. Our health check is not in the root directory.
We are using Docker image for this, NodeJs 14.x. In documentation, they say to use web.config to redirect some urls but I'm not sure this will work.
...ANSWER
Answered 2022-Feb-22 at 06:15404 logs coming from a bot in Azure always On.
Issue can be fixed by rewriting the Always on path.
After a cold start of your application, AlwaysOn will send a request to the ROOT of your application “/”. Whatever file is delivered when a request is made to, / is the one which will be warmed up, it will fail because the root doesn’t exist.
Make AlwaysOn to warmup a specific page instead of the root, implement URL Rewrite rule.
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