I attempted to use the information from GitHub to output point cloud data, monitor joints in real-time, and get camera information from the Unitree Go2. I couldn't figure out how to set up with WebRTC, so I tried setting CONN_TYPE to cyclonedds. The output was as follows. Previously,...
Experimental script exists to automate pipeline/job creation. Check the jenkins-scripts/seed-jobs.sh for details. Get the script seed-jobs.sh And its assets (jobs.json, jobTemplate.xml). git clone https://github.com/dd010101/vyos-jenkins.git cd vyos-jenkins/jenkins-scripts Install dependencie...
scripts might require deeper customizations if datasets are large and come with dependencies on data chunking. Chunking is not supported in R Client. In R Client, theblocksPerReadargument is ignored and all data is read into memory. Large datasets that exceed memory must be pushed to a...
In order to do this, you need to specify the parallelism level to define how many separate executors should be spun up for your job. After that, for separating the test files, you can either use CircleCI CLI or environment variables to configure each machine individually. How to set up pa...
from rclpy.executors import MultiThreadedExecutor from custom_interfaces.action import Patrol class Turtlebot3PatrolServer(Node): def __init__(self): super().__init__('turtlebot3_patrol_server') self.goal = Patrol.Goal() qos = QoSProfile(depth=10) ...
While submitting an application, you can also specify how much memory and cores you wanted to give for driver and executors. Example: ./bin/spark2-submit \ --master yarn \ --deploy-mode cluster \ --driver-memory 8g \ --executor-memory 16g \ ...
(SQLOperation.java:306) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(...
You will be redirected to a page with details about this node. ForRemote root directory, type/var/jenkins. ForLaunch method, chooseLaunch slave agents via Java Web Start. You may also want to update the# of executorssetting to higher than its default of 1 to increase the number of paralle...
AnApplication Master(AM) is responsible for monitoring the application and coordinating distributed executors in the cluster. Some executors that are created by the AM actually run the job. For a MapReduce jobs, they’ll perform map or reduce operation, in parallel. ...
discussed earlier. CircleCI’s version of parallelism enables the execution of multiple build jobs to occur at the same time on individualexecutors. In any case, having a CI/CD Engineer overseeing these potential optimization opportunities is yet another justification for the role among DevOps ...