Of workers on a cluster or other infrastructure. To run at larger scale, you will need to run a large number Admins can customize which information reps see for each lead. Submitted processing task id 6 item p_5, with 100056 event Sales reps can sort leads to organize their work queue. Submitted processing task id 5 item p_4, with 100056 event Submitted processing task id 4 item p_3, with 100056 event ![]() Submitted processing task id 3 item p_2, with 100056 event Measured cores: 0.3, memory: 120 MB, disk 6 MB, gpus: 0.0, runtime 2.9 s Preprocessing task id 1 item pre_0 with 1 events on localhost. Measured cores: 0.3, memory: 120 MB, disk 6 MB, gpus: 0.0, runtime 3.1 s return code 0 (success)Īllocated cores: 2.0, memory: 1000 MB, disk 2000 MB, gpus: 0.0 Preprocessing task id 2 item pre_1 with 1 events on localhost. Submitted preprocessing task id 2 item pre_1, with 1 file Submitted preprocessing task id 1 item pre_0, with 1 file Listening for work queue workers on port 9123. For testing purposes, you can startĪ single worker on the same machine, and direct it to connect to your managerĮxample Coffea Analysis with Work Queue Executor You can also launch workers outside python. Workers are created locally using the factory You should see that Coffea begins to run, and a progress bar time () - tstart print ( hists ) print ( hists ) # (assert only valid when using maxchunks=4) assert hists = 400224 # workers.scratch_dir = "./my-scratch-dir" with workers : # define the Runner instance run_fn = Runner ( executor = executor, chunksize = 100000, maxchunks = 4, # change this to None for a large run ) # execute the analysis on the given dataset hists = run_fn ( fileset, "Events", MyProcessor ()) elapsed = time. When # this is not available, or causes errors, this scracth directory can be # manually set. # workers.python_package = "" # The factory tries to write temporary files to $TMPDIR (usually /tmp). It also ensures that the worker # itself executes in a friendly environment. This is useful if you are going to run a workflow # several times using the same set of workers. password = my_password_file # Instead of declaring the python environment per task, you can set it in # the factory directly. ![]() # (If coffea not at the installation site, then a conda # environment_file should be defined in the work_queue_executor_args.) # batch_type="condor", manager_name=wq_manager_name ) workers. # print ( "-" ) print ( "Example Coffea Analysis with Work Queue Executor" ) print ( "-" ) import getpass wq_manager_name = f "coffea-wq- " # with a batch system, e.g., condor. # import work_queue as wq from coffea.processor import Runner, WorkQueueExecutor # Collect and display setup info. # Sample processor class given in the Coffea manual. To # scale this up, see the wq.Factory configuration below to change to your # favorite batch system. # For simple testing this script will automatically use one local worker. For a real run, change maxchunks=None in the main program # below. # Note that, as written, this only processes 4 data chunks and should complete # in a short time. # To execute, start this application, and then start workers that will connect # to it and execute tasks. Get guided help for printer issues from our automated virtual assistant.# Example of Coffea with the Work Queue executor. ![]() Get guided help for printer issues from our automated virtual assistant. Get guided help for problems with accessories from our automated Virtual Assistant. Our automated Virtual Assistant can guide you through diagnosing and solving laptop and PC display issues. Get guided help for fax-related issues with our automated Virtual Assistant. Get guided help for cartridge issues with our automated Virtual Assistant. Get guided help for ink quality issues from our automated Virtual Assistant. Get guided help with low disk space or memory from our automated Virtual Assistant. I can help you with sound issues, or any additional issues. ![]() Get guided help with an HP System Recovery from our automated Virtual Assistant. Get guided help for Bluetooth, wireless, or wired networking issues with our automated Virtual Assistant. Get guided help for a slow computer from our automated Virtual Assistant. Get guided help for battery issues with our automated Virtual Assistant. Get guided help for issues with Windows OS with our automated Virtual Assistant. Get guided help for offline printer issues from our automated virtual assistant.
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