Tag Archives: Environment configuration

[Solved] filebeat Startup Error: Exiting: error unpacking config data: more than one namespace configured accessing

After extracting filebeat from the virtual machine, enter #: ./filebeat -c filebeat.yml

Encountered the following problems!!!!!!

Exiting: error unpacking config data: more than one namespace configured accessing ‘output’ (source:’filebeat.yml’)

resolvent:

#Note that you must install filebeat in your own directory to modify filebeat.yml

[filebeat directory] #: VIM filebeat.yml

After entering, find the following configuration location

#—————————-Elasticsearch output ———————————-

output. elasticsearch:

#Array of hosts to connecr to.

hosts: [“localhost:9200”]

=====================Modification====================

Just comment out the contents under Elasticsearch output

#—————————-Elasticsearch output ———————————-

#output. elasticsearch:

#Array of hosts to connecr to.

hosts: [“localhost:9200”]

Save exit after modification

Restart filebeat

Enter #:/ filebeat -c filebeat.yml

View process

Enter #:/ filebeat -e -c filebeat.yml

Successfully started filebeat!!!!!

error while loading shared libraries: libmetis.so [How to Solve]

Running LIO-SAM reported the following error:

lio_sam/lio_sam_imuPreintegration: error while loading shared libraries: libmetis.so: cannot open shared object file: No such file or directory

 

Solution:

Use the following code to install:

sudo apt-get install libparmetis-dev

Problem solved successfully

NVM use error: exit status [How to Solve]

Solution:

1. First, the installation directory should be free of spaces and Chinese

2. Check whether the administrator permission is turned on and check the steps

3. Change environment variables

NVM_HOME should be the installation directory of nvm, such as C:\development\nvm
NVM_SYMLINK should be the directory of nodejs, as follows

should be C:\development\NVM\v16.13.0
note that both user variables and system variables need to be changed, and then OK OK
4. Close the terminal, reopen it, and then use NVM use.

[Solved] ERROR: Unable to find the development tool `cc`

ERROR: Unable to find the development tool cc in your path; please make sure that you have the package ‘gcc’ installed. If gcc is installed on your system, then please check that cc is in your PATH.

Solution:
You probably don’t have build-essential installed, and NVIDIA needs the compiler bits to actually install and handle the driver. Run sudo apt install build-essential and install the GCC compiler and such via that package.

How to Solve bootstrap.sh error during the construction of fabric environment

I also checked some blogs and found that it can be solved in this way. Record it here.

Cause finding

When building the fabric 1.4.4 environment, bootstrap.sh reported an error and forgot the screenshot. The error should be this course not resolve host: nexus.Hyperledger.Org
the reason is that nexus.hyperledger.org is no longer maintained
analysis bootstrap.Sh shows that it is the download of binary files, and an error is reported here, You can’t connect and download

and then further analyze the bootstrap.Shfile. You can see that this file mainly does three things: downloading fabric sample, binary script file and docker image
when downloading binary files, call the binariesinstall function, that is, the function reporting an error in the figure above

Solution:

Found the problem and how to solve it
that is, modify the bootstrap.Hfile to automatically download fabric sample and docker images, manually download binary script files, and then upload them to the specified path
step1 modify the bootstrap.H file
comment download the binary file module

and then execute ./bootstrap. Sh , there may be an error when downloading the image

I don’t know the specific reason, but just pull it manually. It’s not a big problem

Pull first and then add tags
docker pull hyperledger/fabric-peer:1.4.4
docker image tag hyperledger/fabric-peer:1.4.4 hyperledger/fabric-peer:latest

Step 2 download binary files
the download path is as follows
https://github.com/hyperledger/fabric/releases/download/v1.4.4/hyperledger-fabric-linux-amd64-1.4.4.tar.gz
https://github.com/hyperledger/fabric-ca/releases/download/v1.4.4/hyperledger-fabric-ca-linux-amd64-1.4.4.tar.gz
if you don’t surf the Internet scientifically, The download speed will be very slow. Here I also uploaded resources. You can download
upload the downloaded files to the /fabric/scripts/fabric samples/first network/ folder and unzip them

tar -xzvf hyperledger-fabric-linux-amd64-1.4.4.tar.gz
tar -xzvf hyperledger-fabric-ca-linux-amd64-1.4.4.tar.gz

In fact, there seems to be another solution. I haven’t tried. Please refer to this blog: Ubuntu 18.04 configuring hyperledger fabric 1.4.4 environment (basic)

How to Solve Error: Error no module “Tkinter”

Error no module “Tkinter”

Principle:

Import Tkinter in python3 import Tkinter in python2

It’s just the difference in the case of the beginning in the python version.

Therefore, we can modify the startup version of Python. One is to directly modify the system version, and the other is to modify the specified version of Python file
here we mainly talk about how to modify the specified version of Python files.

Add the following two lines at the beginning of the .Py file:

#! /usr/bin/python2.7
# -*- coding utf-8 -*-

“The CC version check failed” is reported when Ubuntu installs NVIDIA graphics card driver

I have referred to the questions answered by many bloggers, but there are many problems or troubles. I recommend a better solution after I try to solve it:

The reason for this problem is that the driver may be relatively new, and the GCC version of the system kernel is inconsistent with the default GCC version of the compiler. First, GCC -v check the default GCC version of the current compiler. If it is relatively low and you have not updated the GCC version, upgrade the GCC and C + + versions: sudo apt get install gcc-9 G + ± 9 – Y

Then open the installation path to see the GCC versions: LS/usr/bin/GCC*

Generally, the GCC version has been upgraded. If there are multiple versions in this directory, set the soft connection between GCC and G + +:
CD/usr/bin

sudo ln -sf gcc-9 gcc
sudo ln -sf g+±9 g++

Finally, just update the environment:
source/etc/environment

At this time, GCC -v check the GCC version of the current compiler. If it is consistent with the version prompted by the kernel, you can install it according to the normal graphics card driver steps

[Solved] WordPress Upgrade PHP 5.6 to 7.x Fatal error: Uncaught Error: Call to undefined function mysql_connect()

Error reporting when upgrading PHP version 5.6 to 7. X under WordPress (resolved)

Cause of event:

When using WordPress, the theme needs to be upgraded. The PHP version required for viewing the theme is 7.1+

When the website is not backed up, the PHP version is changed to 7.2, which directly leads to the website error

Fatal error: Uncaught Error: Call to undefined function mysql_ connect()

Check many online tutorials, which are MySQL in wp-db.php_Change connect() to mysqli_Connect(), no result

At first, I thought that the database reported an error, checked the database in detail, wrote checkdb.php, locally connected to the database, and checked that the database server was running well

Solution:

Set define ('wp_use_ext_mysql ', true) in wp-config.php delete

error explanation:

define('WP_USE_EXT_MYSQL',true);

define(‘WP_USE_EXT_MYSQL’, true); Force WP to use MySQL by default instead of MySQL Li
so please delete this line and the problem should be solved.

Otherwise, you can check nd in the PHP 7 configuration_Mysqli extension, and disable mysqli extension – > Select the PHP version.

RuntimeError: NCCL error in: /pytorch/torch/lib/c10d/ProcessGroupNCCL.cpp:784 torch 

-- Process 6 terminated with the following error:
Traceback (most recent call last):
  File "/media/home/intern/anaconda3/envs/torch17/lib/python3.7/site-packages/torch/multiprocessing/spawn.py", line 19, in _wrap
    fn(i, *args)
  File "/media/home/intern/anaconda3/envs/torch17/lib/python3.7/site-packages/detectron2/engine/launch.py", line 108, in _distributed_worker
    raise e
  File "/media/home/intern/anaconda3/envs/torch17/lib/python3.7/site-packages/detectron2/engine/launch.py", line 103, in _distributed_worker
    timeout=timeout,
  File "/media/home/intern/anaconda3/envs/torch17/lib/python3.7/site-packages/torch/distributed/distributed_c10d.py", line 455, in init_process_group
    barrier()
  File "/media/home/intern/anaconda3/envs/torch17/lib/python3.7/site-packages/torch/distributed/distributed_c10d.py", line 1960, in barrier
    work = _default_pg.barrier()
RuntimeError: NCCL error in: /pytorch/torch/lib/c10d/ProcessGroupNCCL.cpp:784, invalid usage, NCCL version 2.7.8

The code requires 8 GPUs to run, while the machine has only two cards
so set the code to run with two cards.

Ubuntu: How to deal with the fatal: the remote end hung up unexpected error of GIT clone Android kernel

Questions

Use git command to clone Android kernel from Tsinghua open source software image station in Ubuntu, but the following error is reported:

$ git clone https://aosp.tuna.tsinghua.edu.cn/kernel/goldfish
Cloning into 'goldfish'...
remote: Enumerating objects: 116, done.
remote: Counting objects: 100% (116/116), done.
remote: Compressing objects: 100% (69/69), done.
error: RPC failed; curl 56 GnuTLS recv error (-9): Error decoding the received TLS packet.
fatal: The remote end hung up unexpectedly
fatal: early EOF
fatal: index-pack failed

Treatment method

After querying some blogs, this error is summed up as the reason why the file is too large

According to the method of the first problem in reference 1, execute the following commands respectively to solve the problem:

Set git minimum speed
$ git config --global http.lowSpeedLimit 0
$ git config --global http.lowSpeedTime 999999
Set http cache
$ git config --global http.postBuffer 1048576000

Among them, postbuffer is used to set HTTP cache, which can be set larger, such as 1g: git config — global http.postbuffer 1048576000, or 3G 3194304000

[Solved] Tensorflow cuda Error: Could not load dynamic library ‘libcudart.so.11.0‘； dlerror: libcudart.so.11.0:

Dlerror: libcudart. So. 11.0: problem solving

First find your computer path

/usr/local/cuda/lib64

Check your CUDA version
. According to the above figure, I find that my computer’s CUDA version is 10.0, so I will report an error at runtime. At this time, there are two solutions.

Scheme 1

If you force the CUDA environment of the local computer to be the running CUDA environment, there may be problems, which I haven’t tried.

cd /usr/local/cuda/lib64/
sudo ln -sf libcudart.so.10.0 libcudart.so.11.0

Scheme 2

Installing dynamic CUDA environment in CONDA environment

conda install tensorflow-gpu cudatoolkit=11.0