Tag Archives: container

Mac Docker pull Error: Error response from daemon: Get https://xx.xx.xx.xx/v2/: Service Unavailable

Execute docker pull xx.xx.xx.xx/xx/xx to download the image of the private library. The errors are as follows:

Error response from daemon: Get https://xx.xx.xx.xx/v2/: Service Unavailable

The reason is that docker supports HTTPS protocol by default, while the private library is HTTP protocol.

Mac desktop can be in preferences – & gt; Configure the following code in docker engine. Xx.xx.xx.xx is the address of your private library.

{
    "insecure-registries":[
        "xx.xx.xx.xx"
    ]
}

CentOS system, modify/etc/docker/daemon.json, and add the following code.

{
    "insecure-registries":[
        "xx.xx.xx.xx"
    ]
}

Add here

CUDA Error： no kernel image is available for execution on device

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2121213333333333333999888883333333333333333333333333333333333333333333333333333333333333333333333333333333333333333333333333333333333333333333333————–9999999999993333333333———————————————————-4.run

“209150;”26377;”23558;” wonder 29256;”21040;” 8″261744;”28982;”202155;” 32622;”docker38236;” 206873;”3279138271e;

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“Darkness, Darkness, Darkness, Darkness, Darkness, Darkness, Darkness, Darkness, Darkness, Darkness, Darkness, Darkness, Darkness.”

“20462;” 25913;”ARCH32622;” 19982;”26174;” 21345;”21495;” 21305;”2130555;” 3579797;”30528;” 27880;”25481;” 75735793;”darknet;”2652482;”20915;” 3838382;”39064;

“38468;” 26174;”21345;” 31639;”

GeForce TITAN

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GeForce RTX <<<<<<<<<<<<<<<<<<<<<<<

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GeForce GTX 960
GeForce GTX 7503.0GeForce GTX 550

<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<

<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<

8.6
NVIDIA TITAN RTX 7.5
GeForce RTX 2080 Ti 7.5
NVIDIA TITAN Xp 6.1
NVIDIA TITAN X 6 <<<<<<<<<<<<<<<<<<<<<<<
GeForce GTX TITAN X 5.2
GeForce GTX TITAN Z 3.5
GeForce GTX TITAN Black 3.5
5.2
GeForce GTX 950 5.2
GeForce GTX 780 Ti 3.5 5.0
GeForce GTX 690 GeForce GTX 680 GeForce GTX 680 GeForce GTX GTX <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<< GeForce GTX 650 Ti 3.0
GeForce GTX 650 3.0
GeForce GTX 560 Ti 2.1
2.0
GeForce GTX 580 2.0
GeForce GTX 570 2.0 GeForce GTX GTX GTX <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<< GeForce GT 730 3.5
GeForce GT 730 DDR3128 <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<
GeForce GT 620 2.1
GeForce GT 610 2.1
GeForce GT 520 2.1

Docker Create tomcat Error standard_init_linux.go:211: exec user process caused “no such file or directory”

Using the command before Tomcat creates a container

docker pull tomcat
docker run -it -P tomcat

Report the following error: Standard_ init_ linux.go:211 : exec user process caused “no such file or directory”

Solution:

Use other Tomcat images to create Tomcat container and run it successfully

docker run -d --name tomcat -p 8888:8080 registry.cn-hangzhou.aliyuncs.com/youdao/tomcat

Speculation: before using the docker hub with the highest number of stars, there was a problem, indicating that this kind of file and directory could not be found. Maybe the image was damaged when downloading

If we use the new container to download and run, it’s OK

Personal test!!! This error is the download image is damaged! The docker needs to be unloaded clearly. Remember to clear all the associated file directories

Yarn: runtime.ContainerExecutionException : launch container failed

introduction:

After the spark submit submits the task, the code of the dirver side is executed normally, but the program gets stuck in the exciter stage and frequently reports errors until the task fails

 

location:

The log failed location prints a lot of warning:

The initial job did not accept any resources. Please check the cluster UI to make sure that the worker process is registered and has enough resources. The initial analysis is about resources. Then yarn logs pull down the logs to see:

The initial heap size of the JVM exceeds the maximum heap size. Check the task environment to find out the truth

 

solve:

The initial memory of the JVM – XMS (the minimum heap value of heap memory) requires 13g, but Excutor.memory Only 12g is given, so the above problem appears. Modify the script to keep it stable excutor.mermory =The size of – XMS is OK, the problem is solved~

Tips: generally – XMS – Xmx (the maximum heap value of heap memory) can be set the same.

Oracle recommends setting the minimum heap size (-Xms)equal to the maximum heap size (-Xmx) to minimize garbage collections.

 

[exception] address already in use: bind

1. Problems:

Bind Exception:Address Already in use;
Failed to start connector;
Address Already in use:bind;
EmbeddedServletContainer Excepiton:Unable to start embedder Tomcat servlet container;
IllegalState Exception:Tomcat connector in failed state;

2. Source code:

None;

3. Screenshot:

4. Summary:

Here we put it java.exe Turn it all off;

code is 143 Container exited with a non-zero exit code 143

If we search this error message, and it is also possible due to code logic:
http://stackoverflow.com/questions/15281307/the-reduce-fails-due-to-task-attempt-failed-to-report-status-for-600-seconds (http://stackoverflow.com/questions/15281307/the-reduce-fails-due-to-task-attempt-failed-to-report-status-for-600-seconds-ki)
If you are sure code logic is not an issue, try to increase
mapred.task.timeout
 
ref:
1. https://mapr.com/community/s/question/0D50L00006BIu2GSAT/code-is-143-container-exited-with-a-nonzero-exit-code-143