Answer
This error is thrown because the host memory is not sufficient for the VM to run. Close all the applications running on your host machine and just run the VM. The best option will be to increase the RAM of your system and further increase the RAM provided to the VM.
You need to have the nginx.conf file at the location where you have the dockerfile. Place the nginx.conf file where your dockerfile is and the issue will be resolved.
Execute the below command in the terminal, and make sure the contents of the file is as below, If you do not see the contents as shown in the above screenshot, then edit the file and add the above-shown uncommented lines as it is. Save the file and then try to log in to the …
For Git: In Jenkins -> Manage Jenkins -> Global Tool Configuration -> for Git, provide the name as git and path as /usr/bin/git (or the path where git is installed) For Maven: In Jenkins -> Manage Jenkins -> Global Tool Configuration -> for Maven, click on Add Maven -> uncheck the Install automatically checkbox -> provide the name as maven and path as /usr/share/maven (or the path where maven is installed)
This error is thrown when the libraries required for the code are not included in the project. You need to include the libraries in the build.sbt file. Create a build.sbt file in your project and add the below lines in it,
To suppress these warning messages, you can edit the inventory file and write localhost in it. Execute the below command to edit the inventory file, Write localhost at the very bottom of the file. Save and exit. Run the playbook again.
You need to create a host-only adapter and attach it to the VM. Follow the below steps, In VirtualBox, click on File Host Network Manager Create Check Enable and Close Open VM settings Network Enable Adapter 2, Attached to: Host-only Adapter Name: VirtualBox Host-Only Ethernet Adapter Advance > Promiscuous Mode: Allow All OK Start the …
You need the databricks avro jar to read an avro file. Execute the below command to download the jar file Now add this jar while starting the spark-shell Now you can read the avro file
You need to start the Spark daemons before starting the spark-shell to resolve the issue. Execute the below commands
