电脑版淘宝网页,怎样优化自己的网站,微信小程序第三方开发,珠海企业网站搭建制作大家好#xff0c;本文将围绕python作业提交什么文件展开说明#xff0c;python123怎么提交作业是一个很多人都想弄明白的事情#xff0c;想搞清楚python期末作业程序需要先了解以下几个事情。 火车头采集ai伪原创插件截图#xff1a; I have a python project, whose fold…大家好本文将围绕python作业提交什么文件展开说明python123怎么提交作业是一个很多人都想弄明白的事情想搞清楚python期末作业程序需要先了解以下几个事情。 火车头采集ai伪原创插件截图 I have a python project, whose folder has the structure main_directory - lib - lib.py - run - .py .py is from lib.lib import add_two spark SparkSession \ .builder \ .master(yarn) \ .appName() \ .getOrCreate() print(add_two(1,2)) and lib.py is def add_two(x,y): return xy I want to launch as a Dataproc job in GCP. I have checked online, but I have not understood well how to do it. I am trying to launch the with gcloud dataproc jobs submit pyspark --cluster$CLUSTER_NAME --region$REGION \ run/.py But I receive the following error message: from lib.lib import add_two ModuleNotFoundError: No module named lib.lib Could you help me on how I should do to launch the job on Dataproc? The only way I have found to do it is to remove the absolute path, making this change to .py: from lib import add_two and the launch the job as gcloud dataproc jobs submit pyspark --cluster$CLUSTER_NAME --region$REGION \ --files /lib/lib.py \ /run/.py However, I would like to avoid the tedious process to list the files manually every time. Following the suggestion of Igor, to pack in a zip file I have found that zip -j --update -r libpack.zip /projectfolder/* spark-submit --py-files libpack.zip /projectfolder/run/.py works. However, this puts all files in the same root folder in libpack.zip, so if there were files with the same names in subfolders this would not work. Any suggestions? 解决方案 To zip the dependencies - cd base-path-to-python-modules zip -qr deps.zip ./* -x .py Copy deps.zip to hdfs/gs. Use uri when submitting the job as shown below. Submit a python project (pyspark) using Dataproc Python connector from google.cloud import dataproc_v1 from google.cloud.dataproc_v1.gapic.transports import ( job_controller_grpc_transport) region cluster_name project_id job_transport ( job_controller_grpc_transport.JobControllerGrpcTransport( address{}-dataproc.googleapis.com:443.format(region))) dataproc_job_client dataproc_v1.JobControllerClient(job_transport) job_file # command line for the main job file args [args1, arg2] # required only if main python job file has imports from other modules # can be one of .py, .zip, or .egg. addtional_python_files [hdfs://path/to/deps.zip, gs://path/to/moredeps.zip] job_details { placement: { cluster_name: cluster_name }, pyspark_job: { main_python_file_uri: job_file, args: args, python_file_uris: addtional_python_files } } res dataproc_job_client.submit_job(project_idproject_id, regionregion, jobjob_details) job_id res.reference.job_id print(fSubmitted dataproc job id: {job_id})
