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April 21, 2020 19:33
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| def worker(ctx: object, heartbeat_interval_param: int, custom_log_dir: str, | |
| custom_job_log_dir_name: str, pool_name_param: str, dry_run: bool, | |
| slurm_job_id_param: int, worker_type_param: str, cluster_name_param: str, | |
| worker_clone_time_rate_param: float, num_workers_per_node_param: int, | |
| worker_id_param: str, charging_account_param: str, | |
| num_nodes_to_request_param: int, num_cores_to_request_param: int, | |
| constraint_param: str, mem_per_node_to_request_param: str, | |
| mem_per_cpu_to_request_param: str, | |
| qos_param: str, job_time_to_request_param: str) -> int: | |
| global CONFIG | |
| CONFIG = ctx.obj['config'] | |
| debug = ctx.obj['debug'] | |
| # config file has precedence | |
| config_debug = CONFIG.configparser.getboolean("SITE", "debug") | |
| if config_debug: | |
| debug = config_debug | |
| global DEBUG | |
| DEBUG = debug | |
| global WORKER_TYPE | |
| WORKER_TYPE = CONFIG.constants.WORKER_TYPE | |
| global HB_MSG | |
| HB_MSG = CONFIG.constants.HB_MSG | |
| global VERSION | |
| VERSION = CONFIG.constants.VERSION | |
| global COMPUTE_RESOURCES | |
| COMPUTE_RESOURCES = CONFIG.constants.COMPUTE_RESOURCES | |
| global TASK_TYPE | |
| TASK_TYPE = CONFIG.constants.TASK_TYPE | |
| global DONE_FLAGS | |
| DONE_FLAGS = CONFIG.constants.DONE_FLAGS | |
| global NUM_WORKER_PROCS | |
| NUM_WORKER_PROCS = CONFIG.constants.NUM_WORKER_PROCS | |
| global TASK_KILL_TIMEOUT_MINUTE | |
| TASK_KILL_TIMEOUT_MINUTE = CONFIG.constants.TASK_KILL_TIMEOUT_MINUTE | |
| global CNAME | |
| CNAME = CONFIG.configparser.get("SITE", "instance_name") | |
| global JTM_HOST_NAME | |
| JTM_HOST_NAME = CONFIG.configparser.get("SITE", "jtm_host_name") | |
| global JTM_INNER_REQUEST_Q | |
| JTM_INNER_REQUEST_Q = CONFIG.configparser.get("JTM", "jtm_inner_request_q") | |
| global CTR | |
| CTR = CONFIG.configparser.getfloat("JTM", "clone_time_rate") | |
| global JTM_INNER_MAIN_EXCH | |
| JTM_INNER_MAIN_EXCH = CONFIG.configparser.get("JTM", "jtm_inner_main_exch") | |
| global JTM_CLIENT_HB_EXCH | |
| JTM_CLIENT_HB_EXCH = CONFIG.configparser.get("JTM", "jtm_client_hb_exch") | |
| global JTM_WORKER_HB_EXCH | |
| JTM_WORKER_HB_EXCH = CONFIG.configparser.get("JTM", "jtm_worker_hb_exch") | |
| global CLIENT_HB_Q_POSTFIX | |
| CLIENT_HB_Q_POSTFIX = CONFIG.configparser.get("JTM", "client_hb_q_postfix") | |
| global WORKER_HB_Q_POSTFIX | |
| WORKER_HB_Q_POSTFIX = CONFIG.configparser.get("JTM", "worker_hb_q_postfix") | |
| global JTM_TASK_KILL_EXCH | |
| JTM_TASK_KILL_EXCH = CONFIG.configparser.get("JTM", "jtm_task_kill_exch") | |
| global JTM_TASK_KILL_Q | |
| JTM_TASK_KILL_Q = CONFIG.configparser.get("JTM", "jtm_task_kill_q") | |
| global JTM_WORKER_POISON_EXCH | |
| JTM_WORKER_POISON_EXCH = CONFIG.configparser.get("JTM", "jtm_worker_poison_exch") | |
| global JTM_WORKER_POISON_Q | |
| JTM_WORKER_POISON_Q = CONFIG.configparser.get("JTM", "jtm_worker_poison_q") | |
| global NUM_PROCS_CHECK_INTERVAL | |
| NUM_PROCS_CHECK_INTERVAL = CONFIG.configparser.getfloat("JTM", "num_procs_check_interval") | |
| global ENV_ACTIVATION | |
| ENV_ACTIVATION = CONFIG.configparser.get("JTM", "env_activation") | |
| WORKER_CONFIG_FILE = CONFIG.configparser.get("JTM", "worker_config_file") | |
| RMQ_HOST = CONFIG.configparser.get("RMQ", "host") | |
| RMQ_PORT = CONFIG.configparser.get("RMQ", "port") | |
| USER_NAME = CONFIG.configparser.get("SITE", "user_name") | |
| PRODUCTION = False | |
| if CONFIG.configparser.get("JTM", "run_mode") == "prod": | |
| PRODUCTION = True | |
| JOBTIME = CONFIG.configparser.get("SLURM", "jobtime") | |
| CONSTRAINT = CONFIG.configparser.get("SLURM", "constraint") | |
| CHARGE_ACCNT = CONFIG.configparser.get("SLURM", "charge_accnt") | |
| QOS = CONFIG.configparser.get("SLURM", "qos") | |
| PARTITION = CONFIG.configparser.get("SLURM", "partition") | |
| MEMPERCPU = CONFIG.configparser.get("SLURM", "mempercpu") | |
| MEMPERNODE = CONFIG.configparser.get("SLURM", "mempernode") | |
| NWORKERS = CONFIG.configparser.getint("JTM", "num_workers_per_node") | |
| NCPUS = CONFIG.configparser.getint("SLURM", "ncpus") | |
| global FILE_CHECK_INTERVAL | |
| FILE_CHECK_INTERVAL = CONFIG.configparser.getfloat("JTM", "file_check_interval") | |
| global FILE_CHECKING_MAX_TRIAL | |
| FILE_CHECKING_MAX_TRIAL = CONFIG.configparser.getint("JTM", "file_checking_max_trial") | |
| global FILE_CHECK_INT_INC | |
| FILE_CHECK_INT_INC = CONFIG.configparser.getfloat("JTM", "file_check_int_inc") | |
| # Job dir setting | |
| job_script_dir_name = os.path.join(CONFIG.configparser.get("JTM", "log_dir"), "job") | |
| if custom_job_log_dir_name: | |
| job_script_dir_name = custom_job_log_dir_name | |
| make_dir(job_script_dir_name) | |
| # Log dir setting | |
| log_dir_name = os.path.join(CONFIG.configparser.get("JTM", "log_dir"), "log") | |
| if custom_log_dir: | |
| log_dir_name = custom_log_dir | |
| make_dir(log_dir_name) | |
| print("JTM Worker, version: {}".format(VERSION)) | |
| # Set uniq worker id if worker id is provided in the params | |
| if worker_id_param: | |
| global UNIQ_WORKER_ID | |
| UNIQ_WORKER_ID = worker_id_param | |
| # Logger setting | |
| log_level = "info" | |
| if DEBUG: | |
| log_level = "debug" | |
| setup_custom_logger(log_level, log_dir_name, | |
| 1, 1, | |
| worker_id=UNIQ_WORKER_ID) | |
| logger.info("\n*****************\nDebug mode is %s\n*****************" | |
| % ("ON" if DEBUG else "OFF")) | |
| # # Todo: site specific setting --> remove | |
| # CORI_KNL_CHARGE_ACCNT = CONFIG.configparser.get("SLURM", "knl_charge_accnt") | |
| # CORI_KNL_QOS = CONFIG.configparser.get("SLURM", "knl_qos") | |
| hearbeat_interval = CONFIG.configparser.getfloat("JTM", "worker_hb_send_interval") | |
| logger.info("Set jtm log file location to %s", log_dir_name) | |
| logger.info("Set jtm job file location to %s", job_script_dir_name) | |
| logger.info("RabbitMQ broker: %s", RMQ_HOST) | |
| logger.info("RabbitMQ port: %s", RMQ_PORT) | |
| logger.info("Pika version: %s", pika.__version__) | |
| logger.info("JTM user name: %s", USER_NAME) | |
| logger.info("Unique worker ID: %s", UNIQ_WORKER_ID) | |
| logger.info("\n*****************\nRun mode is %s\n*****************" | |
| % ("PROD" if PRODUCTION else "DEV")) | |
| logger.info("env activation: %s", ENV_ACTIVATION) | |
| logger.info("JTM config file: %s" % (CONFIG.config_file)) | |
| # Slurm config | |
| num_nodes_to_request = 0 | |
| if num_nodes_to_request_param: | |
| num_nodes_to_request = num_nodes_to_request_param | |
| # Todo | |
| # Cori and JGI Cloud are exclusive allocation. So this is not needed. | |
| # assert mem_per_node_to_request_param is not None, "-N needs --mem-per-cpu (-mc) setting." | |
| # 11.13.2018 decided to remove all default values from argparse | |
| num_workers_per_node = num_workers_per_node_param if num_workers_per_node_param else NWORKERS | |
| assert num_workers_per_node > 0 | |
| mem_per_cpu_to_request = mem_per_cpu_to_request_param if mem_per_cpu_to_request_param else MEMPERCPU | |
| mem_per_node_to_request = mem_per_node_to_request_param if mem_per_node_to_request_param else MEMPERNODE | |
| assert mem_per_cpu_to_request | |
| assert mem_per_node_to_request | |
| num_cpus_to_request = num_cores_to_request_param if num_cores_to_request_param else NCPUS | |
| assert num_cpus_to_request | |
| # Set CPU affinity for limiting the number of cores to use | |
| if worker_type_param != "manual" and worker_id_param and worker_id_param.find('_') != -1: | |
| # ex) | |
| # total_cpu_num = 32, num_workers_per_node_param = 4 | |
| # split_cpu_num = 8 | |
| # worker_number - 1 == 0 --> [0, 1, 2, 3, 4, 5, 6, 7] | |
| # worker_number - 1 == 1 --> [8, 9, 10, 11, 12, 13, 14, 15] | |
| proc = psutil.Process(PARENT_PROCESS_ID) | |
| try: | |
| # Use the appended worker id number as worker_number | |
| # ex) 5wZwyCM8rxgNtERsU8znJU_1 --> extract "1" --> worker number | |
| worker_number = int(worker_id_param.split('_')[-1]) - 1 | |
| except ValueError: | |
| logger.exception("Not an expected worker ID. Cancelling CPU affinity setting") | |
| else: | |
| # Note: may need to use num_cpus_to_request outside LBL | |
| total_cpu_num = psutil.cpu_count() | |
| logger.info("Total number of cores available: {}".format(total_cpu_num)) | |
| split_cpu_num = int(total_cpu_num / num_workers_per_node) | |
| cpu_affinity_list = list(range(worker_number * split_cpu_num, | |
| ((worker_number + 1) * split_cpu_num))) | |
| logger.info("Set CPU affinity to use: {}".format(cpu_affinity_list)) | |
| try: | |
| proc.cpu_affinity(cpu_affinity_list) | |
| except Exception as e: | |
| logger.exception("Failed to set the CPU usage limit: %s" % (e)) | |
| sys.exit(1) | |
| # Set memory upper limit | |
| # Todo: May need to use all free_memory on Cori and Lbl | |
| system_free_mem_bytes = get_free_memory() | |
| logger.info("Total available memory (MBytes): %d" | |
| % (system_free_mem_bytes / 1024.0 / 1024.0)) | |
| if worker_type_param != "manual" and num_workers_per_node > 1: | |
| try: | |
| mem_per_node_to_request_byte = int(mem_per_node_to_request.lower() | |
| .replace("gb", "") | |
| .replace("g", "")) * 1024.0 * 1024.0 * 1024.0 | |
| logger.info("Requested memory for this worker (MBytes): %d" | |
| % (mem_per_node_to_request_byte / 1024.0 / 1024.0)) | |
| # if requested mempernode is larger than system avaiable mem space | |
| if system_free_mem_bytes < mem_per_node_to_request_byte: | |
| logger.critical("Requested memory space is not available") | |
| logger.critical("Available space: %d (MBytes)" | |
| % (system_free_mem_bytes / 1024.0 / 1024.0)) | |
| logger.critical("Requested space: %d (MBytes)" | |
| % (mem_per_node_to_request_byte / 1024.0 / 1024.0)) | |
| # Option 1 | |
| # mem_per_node_to_request_byte = system_free_mem_bytes | |
| # Option 2 | |
| raise MemoryError | |
| MEM_LIMIT_PER_WORKER_BYTES = int(mem_per_node_to_request_byte / | |
| num_workers_per_node) | |
| except Exception as e: | |
| logger.exception("Failed to compute the memory limit: %s", mem_per_node_to_request) | |
| logger.exception(e) | |
| sys.exit(1) | |
| try: | |
| soft, hard = resource.getrlimit(resource.RLIMIT_AS) | |
| resource.setrlimit(resource.RLIMIT_AS, (MEM_LIMIT_PER_WORKER_BYTES, hard)) | |
| logger.info("Set the memory usage upper limit (MBytes): %d" | |
| % (MEM_LIMIT_PER_WORKER_BYTES / 1024.0 / 1024.0)) | |
| except Exception as e: | |
| logger.exception("Failed to set the memory usage limit: %s", mem_per_node_to_request) | |
| logger.exception(e) | |
| sys.exit(1) | |
| job_time_to_request = job_time_to_request_param if job_time_to_request_param else JOBTIME | |
| constraint = constraint_param if constraint_param else CONSTRAINT | |
| charging_account = charging_account_param if charging_account_param else CHARGE_ACCNT | |
| qos = qos_param if qos_param else QOS | |
| global THIS_WORKER_TYPE | |
| THIS_WORKER_TYPE = worker_type_param | |
| job_name = "jtm_worker_" + pool_name_param | |
| # Set task queue name | |
| inner_task_request_queue = None | |
| if heartbeat_interval_param: | |
| hearbeat_interval = heartbeat_interval_param | |
| # Start hb receive thread | |
| tp_name = "" | |
| if pool_name_param: | |
| tp_name = pool_name_param | |
| assert pool_name_param is not None, "User pool name is not set" | |
| inner_task_request_queue = JTM_INNER_REQUEST_Q + "." + pool_name_param | |
| worker_clone_time_rate = worker_clone_time_rate_param if worker_clone_time_rate_param else CTR | |
| if THIS_WORKER_TYPE in ("static", "dynamic"): | |
| assert cluster_name_param != "" and \ | |
| cluster_name_param != "local", "Static or dynamic worker needs a cluster setting (-cl)." | |
| slurm_job_id = slurm_job_id_param | |
| cluster_name = cluster_name_param | |
| if cluster_name == "cori" and mem_per_cpu_to_request != "" and \ | |
| float(mem_per_cpu_to_request.replace("GB", "").replace("G", "").replace("gb", "")) > 1.0: | |
| logger.critical("--mem-per-cpu in Cori shouldn't be larger than 1GB. User '--mem' instead.") | |
| sys.exit(1) | |
| logger.info("RabbitMQ broker: %s", RMQ_HOST) | |
| logger.info("Task queue name: %s", inner_task_request_queue) | |
| logger.info("Worker type: %s", THIS_WORKER_TYPE) | |
| if slurm_job_id == 0 and THIS_WORKER_TYPE in ["static", "dynamic"]: | |
| batch_job_script_file = os.path.join(job_script_dir_name, "jtm_%s_worker_%s.job" % | |
| (THIS_WORKER_TYPE, UNIQ_WORKER_ID)) | |
| batch_job_script_str = "" | |
| batch_job_misc_params = "" | |
| worker_config = CONFIG.config_file if CONFIG else "" | |
| if WORKER_CONFIG_FILE: | |
| worker_config = WORKER_CONFIG_FILE | |
| if cluster_name in ("cori", "lawrencium", "jgi_cloud", "jaws_lbl_gov", "lbl", "jgi_cluster"): | |
| with open(batch_job_script_file, "w") as jf: | |
| batch_job_script_str += "#!/bin/bash -l" | |
| if cluster_name in ("cori"): | |
| if num_nodes_to_request_param: | |
| batch_job_script_str += """ | |
| #SBATCH -N %(num_nodes_to_request)d | |
| #SBATCH --mem=%(mem)s""" % dict(num_nodes_to_request=num_nodes_to_request, mem=mem_per_node_to_request) | |
| batch_job_misc_params += " -N %(num_nodes_to_request)d -m %(mem)s" % \ | |
| dict(num_nodes_to_request=num_nodes_to_request, | |
| mem=mem_per_node_to_request) | |
| if num_cores_to_request_param: | |
| batch_job_script_str += """ | |
| #SBATCH -c %(num_cores)d""" % dict(num_cores=num_cpus_to_request) | |
| batch_job_misc_params += " -c %(num_cores)d" % \ | |
| dict(num_cores=num_cpus_to_request) | |
| else: | |
| batch_job_script_str += """ | |
| #SBATCH -c %(num_cores)d""" % dict(num_cores=num_cpus_to_request) | |
| batch_job_misc_params += " -c %(num_cores)d" % \ | |
| dict(num_cores=num_cpus_to_request) | |
| if mem_per_node_to_request: | |
| batch_job_script_str += """ | |
| #SBATCH --mem=%(mem)s""" % dict(mem=mem_per_node_to_request) | |
| batch_job_misc_params += " -m %(mem)s " % \ | |
| dict(mem=mem_per_node_to_request) | |
| else: | |
| batch_job_script_str += """ | |
| #SBATCH --mem-per-cpu=%(mempercore)s""" % dict(mempercore=mem_per_cpu_to_request) | |
| batch_job_misc_params += " -mc %(mempercore)s" % \ | |
| dict(mempercore=mem_per_cpu_to_request) | |
| if worker_id_param: | |
| batch_job_misc_params += " -wi %(worker_id)s_${i}" % \ | |
| dict(worker_id=UNIQ_WORKER_ID) | |
| ########################### | |
| if 1: | |
| # Need to set both --qos=genepool (or genepool_shared) _and_ -A fungalp | |
| # OR | |
| # no qos _and_ -A m342 _and_ -C haswell | |
| # Note: currently constraint in ["haswell" | "knl"] | |
| if constraint == "haswell": | |
| if qos_param: | |
| batch_job_script_str += """ | |
| #SBATCH -q %(qosname)s""" % dict(qosname=qos) | |
| batch_job_misc_params += " -q %(qosname)s" % dict(qosname=qos) | |
| else: | |
| batch_job_script_str += """ | |
| #SBATCH -q %(qosname)s""" % dict(qosname=qos) | |
| batch_job_script_str += """ | |
| #SBATCH -C haswell""" | |
| if charging_account == "m342": | |
| batch_job_misc_params += " -A %(sa)s" % dict(sa="m342") | |
| batch_job_script_str += """ | |
| #SBATCH -A %(charging_account)s""" % dict(charging_account=charging_account) | |
| elif constraint == "knl": | |
| # Note: Basic KNL setting = "-q regular -A m342 -C knl" | |
| # | |
| # Note: KNL MCDRAM setting -> cache or flat | |
| # cache mode - MCDRAM is configured entirely as a last-level cache (L3) | |
| # flat mode - MCDRAM is configured entirely as addressable memory | |
| # ex) #SBATCH -C knl,quad,cache | |
| # ex) #SBATCH -C knl,quad,flat | |
| # --> srun <srun options> numactl -p 1 yourapplication.x | |
| # | |
| # Note: for knl, we should use m342 | |
| # | |
| # Note: for knl, charging_account can be set via runtime (like lanl, m3408) | |
| # | |
| batch_job_script_str += """ | |
| #SBATCH -C knl | |
| #SBATCH -A %(charging_account)s | |
| #SBATCH -q %(qosname)s""" % \ | |
| dict(charging_account=charging_account, qosname=qos) | |
| batch_job_misc_params += " -A %(charging_account)s -q %(qosname)s" % \ | |
| dict(charging_account=charging_account, qosname=qos) | |
| elif constraint == "skylake": | |
| # Example usage with skylakte for Brian F. | |
| # 120G | |
| # ====================== | |
| # -t 48:00:00 -c 16 --job-name=mga-627530 --mem=115G --qos=genepool_special | |
| # --exclusive -A gtrqc | |
| # | |
| # 250G | |
| # ====================== | |
| # -t 96:00:00 -c 72 --job-name=mga-627834 --mem=240G -C skylake --qos=jgi_exvivo | |
| # -A gtrqc | |
| # | |
| # 500G | |
| # ====================== | |
| # -t 96:00:00 -c 72 --job-name=mga-627834 --mem=240G -C skylake --qos=jgi_exvivo | |
| # -A gtrqc | |
| batch_job_script_str += """ | |
| #SBATCH -C skylake | |
| #SBATCH -A %(charging_account)s | |
| #SBATCH -q %(qosname)s""" % \ | |
| dict(charging_account=charging_account, qosname=qos) | |
| batch_job_misc_params += " -A %(charging_account)s -q %(qosname)s" % \ | |
| dict(charging_account=charging_account, qosname=qos) | |
| excl_param = "" | |
| if constraint != "skylake": | |
| excl_param = "#SBATCH --exclusive" | |
| tq_param = "" | |
| if pool_name_param: | |
| tq_param = "-p " + pool_name_param | |
| batch_job_script_str += """ | |
| #SBATCH -t %(wall_time)s | |
| #SBATCH --job-name=%(job_name)s | |
| #SBATCH -o %(job_dir)s/jtm_%(worker_type)s_worker_%(worker_id)s.out | |
| #SBATCH -e %(job_dir)s/jtm_%(worker_type)s_worker_%(worker_id)s.err | |
| %(exclusive)s | |
| module unload python | |
| %(env_activation_cmd)s | |
| %(export_jtm_config_file)s | |
| for i in {1..%(num_workers_per_node)d} | |
| do | |
| echo "jobid: $SLURM_JOB_ID" | |
| jtm %(set_jtm_config_file)s %(debug)s worker --slurm_job_id $SLURM_JOB_ID \ | |
| -cl cori \ | |
| -wt %(worker_type)s \ | |
| -t %(wall_time)s \ | |
| --clone_time_rate %(clone_time_rate)f %(task_queue)s \ | |
| --num_worker_per_node %(num_workers_per_node)d \ | |
| -C %(constraint)s \ | |
| -m %(mem)s \ | |
| %(other_params)s & | |
| sleep 1 | |
| done | |
| wait | |
| """ % \ | |
| dict(debug="--debug" if DEBUG else "", | |
| wall_time=job_time_to_request, | |
| job_dir=job_script_dir_name, | |
| worker_id=UNIQ_WORKER_ID, | |
| worker_type=THIS_WORKER_TYPE, | |
| clone_time_rate=worker_clone_time_rate, | |
| task_queue=tq_param, | |
| num_workers_per_node=num_workers_per_node, | |
| env_activation_cmd=ENV_ACTIVATION, | |
| other_params=batch_job_misc_params, | |
| constraint=constraint, | |
| mem=mem_per_node_to_request, | |
| job_name=job_name, | |
| exclusive=excl_param, | |
| export_jtm_config_file="export JTM_CONFIG_FILE=%s" | |
| % worker_config, | |
| set_jtm_config_file="--config=%s" | |
| % worker_config) | |
| elif cluster_name in ("lawrencium", "jgi_cloud", "jaws_lbl_gov", "jgi_cluster", "lbl"): | |
| if worker_id_param: | |
| batch_job_misc_params += " -wi %(worker_id)s_${i}" \ | |
| % dict(worker_id=UNIQ_WORKER_ID) | |
| tp_param = "" | |
| if pool_name_param: | |
| tp_param = "-p " + pool_name_param | |
| part_param = "" | |
| if cluster_name == "lawrencium": | |
| part_param = PARTITION | |
| else: | |
| part_param = PARTITION | |
| qos_param = "" | |
| if cluster_name == "lawrencium": | |
| qos_param = QOS | |
| else: | |
| qos_param = QOS | |
| charge_param = "" | |
| if cluster_name == "lawrencium": | |
| charge_param = CHARGE_ACCNT | |
| else: | |
| charge_param = CHARGE_ACCNT | |
| nnode_param = 1 | |
| if num_nodes_to_request_param: | |
| nnode_param = num_nodes_to_request | |
| mnode_param = "#SBATCH --mem=%(mem)s" \ | |
| % dict(mem=mem_per_node_to_request) | |
| batch_job_script_str += """ | |
| #SBATCH --time=%(wall_time)s | |
| #SBATCH --job-name=%(job_name)s | |
| #SBATCH --partition=%(partition_name)s | |
| #SBATCH --qos=%(qosname)s | |
| #SBATCH --account=%(charging_account)s | |
| #SBATCH --nodes=%(num_nodes_to_request)d | |
| %(mem_per_node_setting)s | |
| #SBATCH -o %(job_dir)s/jtm_%(worker_type)s_worker_%(worker_id)s.out | |
| #SBATCH -e %(job_dir)s/jtm_%(worker_type)s_worker_%(worker_id)s.err | |
| %(env_activation_cmd)s | |
| %(export_jtm_config_file)s | |
| for i in {1..%(num_workers_per_node)d} | |
| do | |
| echo "jobid: $SLURM_JOB_ID" | |
| jtm %(set_jtm_config_file)s %(debug)s worker --slurm_job_id $SLURM_JOB_ID \ | |
| -cl %(lbl_cluster_name)s \ | |
| -wt %(worker_type)s \ | |
| -t %(wall_time)s \ | |
| --clone_time_rate %(clone_time_rate)f %(task_queue)s \ | |
| --num_worker_per_node %(num_workers_per_node)d \ | |
| -m %(mem)s \ | |
| %(other_params)s & | |
| sleep 1 | |
| done | |
| wait | |
| """ % \ | |
| dict(debug="--debug" if DEBUG else "", | |
| wall_time=job_time_to_request, | |
| job_name=job_name, | |
| partition_name=part_param, | |
| qosname=qos_param, | |
| charging_account=charge_param, | |
| num_nodes_to_request=nnode_param, | |
| mem_per_node_setting=mnode_param, | |
| worker_id=UNIQ_WORKER_ID, | |
| job_dir=job_script_dir_name, | |
| env_activation_cmd=ENV_ACTIVATION, | |
| num_workers_per_node=num_workers_per_node, | |
| mem=mem_per_node_to_request, | |
| lbl_cluster_name=cluster_name, | |
| worker_type=THIS_WORKER_TYPE, | |
| clone_time_rate=worker_clone_time_rate, | |
| task_queue=tp_param, | |
| other_params=batch_job_misc_params, | |
| export_jtm_config_file="export JTM_CONFIG_FILE=%s" | |
| % worker_config, | |
| set_jtm_config_file="--config=%s" | |
| % worker_config) | |
| jf.writelines(batch_job_script_str) | |
| os.chmod(batch_job_script_file, 0o775) | |
| if dry_run: | |
| print(batch_job_script_str) | |
| sys.exit(0) | |
| sbatch_cmd = "sbatch --parsable %s" % (batch_job_script_file) | |
| _, _, ec = run_sh_command(sbatch_cmd, log=logger) | |
| assert ec == 0, "Failed to run 'jtm worker' to sbatch dynamic worker." | |
| return ec | |
| elif cluster_name == "aws": | |
| pass | |
| # If it's spawned by sbatch | |
| # Todo: need to record job_id, worker_id, worker_type, starting_time, wallclocktime | |
| # scontrol show jobid -dd <jobid> ==> EndTime | |
| # scontrol show jobid <jobid> ==> EndTime | |
| # sstat --format=AveCPU,AvePages,AveRSS,AveVMSize,JobID -j <jobid> --allsteps | |
| # | |
| # if endtime - starttime <= 10%, execute sbatch again | |
| # if slurm_job_id != 0 and THIS_WORKER_TYPE == "static": | |
| # logger.debug("worker_type: {}".format(THIS_WORKER_TYPE)) | |
| # logger.debug("slurm_job_id: {}".format(slurm_job_id)) | |
| # Dynamic workers creates [[two]] children when it approaches to the wallclocktime limit | |
| # considering the task queue length | |
| # Also, maintain the already requested number of workers | |
| # if no more workers needed, it won't call sbatch | |
| # elif slurm_job_id != 0 and THIS_WORKER_TYPE == "dynamic": | |
| # logger.debug("worker_type: {}".format(THIS_WORKER_TYPE)) | |
| # logger.debug("slurm_job_id: {}".format(slurm_job_id)) | |
| # Remote broker (rmq.nersc.gov) | |
| rmq_conn = RmqConnectionHB(config=CONFIG) | |
| conn = rmq_conn.open() | |
| ch = conn.channel() | |
| # ch.confirm_delivery() | |
| ch.exchange_declare(exchange=JTM_INNER_MAIN_EXCH, | |
| exchange_type="direct", | |
| passive=False, | |
| durable=True, | |
| auto_delete=False) | |
| # Declare task receiving queue (client --> worker) | |
| # | |
| # If you have a queueu that is durable, RabbitMQ will never lose our queue. | |
| # If you have a queue that is exclusive, then when the channel that declared | |
| # the queue is closed, the queue is deleted. | |
| # If you have a queue that is auto-deleted, then when there are no | |
| # subscriptions left on that queue it will be deleted. | |
| # | |
| ch.queue_declare(queue=inner_task_request_queue, | |
| durable=True, | |
| exclusive=False, | |
| auto_delete=True) | |
| ch.queue_bind(exchange=JTM_INNER_MAIN_EXCH, | |
| queue=inner_task_request_queue, | |
| routing_key=inner_task_request_queue) | |
| logger.info("Waiting for a request...") | |
| logger.debug("Main pid = {}".format(PARENT_PROCESS_ID)) | |
| pid_list = [] | |
| # Start task termination proc | |
| try: | |
| task_kill_proc_hdl = mp.Process(target=recv_task_kill_request_proc) | |
| task_kill_proc_hdl.start() | |
| pid_list.append(task_kill_proc_hdl) | |
| except Exception as e: | |
| logger.exception("recv_task_kill_request_proc: {}".format(e)) | |
| proc_clean(pid_list) | |
| conn_clean(conn, ch) | |
| sys.exit(1) | |
| # Start send_hb_to_client_proc proc | |
| try: | |
| recv_hb_from_client_proc_hdl = mp.Process(target=send_hb_to_client_proc, | |
| args=(hearbeat_interval, | |
| slurm_job_id, | |
| mem_per_node_to_request, | |
| mem_per_cpu_to_request, | |
| num_cpus_to_request, | |
| job_time_to_request, | |
| worker_clone_time_rate, | |
| inner_task_request_queue, | |
| tp_name, | |
| num_workers_per_node, | |
| JTM_WORKER_HB_EXCH, | |
| WORKER_HB_Q_POSTFIX)) | |
| recv_hb_from_client_proc_hdl.start() | |
| pid_list.append(recv_hb_from_client_proc_hdl) | |
| except Exception as e: | |
| logger.exception("send_hb_to_client_proc: {}".format(e)) | |
| proc_clean(pid_list) | |
| conn_clean(conn, ch) | |
| sys.exit(1) | |
| logger.info("Start sending my heartbeat to the client in every %d sec to %s" | |
| % (hearbeat_interval, WORKER_HB_Q_POSTFIX)) | |
| # Start poison receive thread | |
| try: | |
| recv_poison_proc_hdl = mp.Process(target=recv_reproduce_or_die_proc, | |
| args=(pool_name_param, | |
| cluster_name, | |
| mem_per_node_to_request, | |
| mem_per_cpu_to_request, | |
| num_nodes_to_request, | |
| num_cpus_to_request, | |
| job_time_to_request, | |
| worker_clone_time_rate, | |
| num_workers_per_node, | |
| JTM_WORKER_POISON_EXCH, | |
| JTM_WORKER_POISON_Q)) | |
| recv_poison_proc_hdl.start() | |
| pid_list.append(recv_poison_proc_hdl) | |
| except Exception as e: | |
| logger.exception("recv_reproduce_or_die_proc: {}".format(e)) | |
| proc_clean(pid_list) | |
| conn_clean(conn, ch) | |
| sys.exit(1) | |
| # Start hb send thread | |
| try: | |
| send_hb_to_client_proc_hdl = mp.Process(target=recv_hb_from_client_proc2, | |
| args=(inner_task_request_queue, | |
| JTM_CLIENT_HB_EXCH, | |
| CLIENT_HB_Q_POSTFIX)) | |
| send_hb_to_client_proc_hdl.start() | |
| pid_list.append(send_hb_to_client_proc_hdl) | |
| except Exception as e: | |
| logger.exception("Worker termination request: {}".format(e)) | |
| proc_clean(pid_list) | |
| conn_clean(conn, ch) | |
| sys.exit(1) | |
| # Checking the total number of child processes | |
| try: | |
| check_processes_hdl = mp.Process(target=check_processes, | |
| args=(pid_list,)) | |
| check_processes_hdl.start() | |
| pid_list.append(check_processes_hdl) | |
| except Exception as e: | |
| logger.exception("check_processes: {}".format(e)) | |
| proc_clean(pid_list) | |
| conn_clean(conn, ch) | |
| sys.exit(1) | |
| def signal_handler(signum, frame): | |
| proc_clean(pid_list) | |
| signal.signal(signal.SIGTERM, signal_handler) | |
| # Waiting for request | |
| ch.basic_qos(prefetch_count=1) | |
| # OLD | |
| # try: | |
| # ch.basic_consume(queue=inner_task_request_queue, | |
| # on_message_callback=do_work, | |
| # auto_ack=False) | |
| # except OSError as err: | |
| # logger.exception("Worker terminated: {}".format(err)) | |
| # proc_clean() | |
| # conn_clean() | |
| # sys.exit(1) | |
| # NEW | |
| # Ref) https://github.com/pika/pika/blob/1.0.1/examples/ | |
| # https://stackoverflow.com/questions/51752890/how-to-disable-heartbeats-with-pika-and-rabbitmq | |
| # https://github.com/pika/pika/blob/master/examples/basic_consumer_threaded.py | |
| threads = [] | |
| on_message_callback = functools.partial(on_task_request, | |
| args=(conn, threads)) | |
| ch.basic_consume(queue=inner_task_request_queue, | |
| on_message_callback=on_message_callback) | |
| try: | |
| ch.start_consuming() | |
| except KeyboardInterrupt: | |
| proc_clean() | |
| conn_clean() | |
| # Wait for all to complete | |
| # Note: prefetch_count=1 ==> #thread = 1 | |
| for thread in threads: | |
| thread.join() | |
| if conn: | |
| conn.close() | |
| return 0 |
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