Ejemplo n.º 1
0
 def doBrokerage(self,inputList,vo,prodSourceLabel,workQueue):
     # list with a lock
     inputListWorld = ListWithLock([])
     # variables for submission
     maxBunchTask = 100
     # make logger
     tmpLog = MsgWrapper(logger)
     tmpLog.debug('start doBrokerage')
     # return for failure
     retFatal    = self.SC_FATAL
     retTmpError = self.SC_FAILED
     tmpLog.debug('vo={0} label={1} queue={2} nTasks={3}'.format(vo,prodSourceLabel,
                                                                 workQueue.queue_name,
                                                                 len(inputList)))
     # loop over all tasks
     allRwMap    = {}
     prioMap     = {}
     tt2Map      = {}
     expRWs      = {}
     jobSpecList = []
     for tmpJediTaskID,tmpInputList in inputList:
         for taskSpec,cloudName,inputChunk in tmpInputList:
             # collect tasks for WORLD
             if taskSpec.useWorldCloud():
                 inputListWorld.append((taskSpec,inputChunk))
                 continue
             # make JobSpec to be submitted for TaskAssigner
             jobSpec = JobSpec()
             jobSpec.taskID     = taskSpec.jediTaskID
             jobSpec.jediTaskID = taskSpec.jediTaskID
             # set managed to trigger TA
             jobSpec.prodSourceLabel  = 'managed'
             jobSpec.processingType   = taskSpec.processingType
             jobSpec.workingGroup     = taskSpec.workingGroup
             jobSpec.metadata         = taskSpec.processingType
             jobSpec.assignedPriority = taskSpec.taskPriority
             jobSpec.currentPriority  = taskSpec.currentPriority
             jobSpec.maxDiskCount     = (taskSpec.getOutDiskSize() + taskSpec.getWorkDiskSize()) / 1024 / 1024
             if taskSpec.useWorldCloud():
                 # use destinationSE to trigger task brokerage in WORLD cloud
                 jobSpec.destinationSE = taskSpec.cloud
             prodDBlock = None
             setProdDBlock = False
             for datasetSpec in inputChunk.getDatasets():
                 prodDBlock = datasetSpec.datasetName
                 if datasetSpec.isMaster():
                     jobSpec.prodDBlock = datasetSpec.datasetName
                     setProdDBlock = True
                 for fileSpec in datasetSpec.Files:
                     tmpInFileSpec = fileSpec.convertToJobFileSpec(datasetSpec)
                     jobSpec.addFile(tmpInFileSpec)
             # use secondary dataset name as prodDBlock
             if setProdDBlock == False and prodDBlock != None:
                 jobSpec.prodDBlock = prodDBlock
             # append
             jobSpecList.append(jobSpec)
             prioMap[jobSpec.taskID] = jobSpec.currentPriority
             tt2Map[jobSpec.taskID]  = jobSpec.processingType
             # get RW for a priority
             if not allRwMap.has_key(jobSpec.currentPriority):
                 tmpRW = self.taskBufferIF.calculateRWwithPrio_JEDI(vo,prodSourceLabel,workQueue,
                                                                    jobSpec.currentPriority) 
                 if tmpRW == None:
                     tmpLog.error('failed to calculate RW with prio={0}'.format(jobSpec.currentPriority))
                     return retTmpError
                 allRwMap[jobSpec.currentPriority] = tmpRW
             # get expected RW
             expRW = self.taskBufferIF.calculateTaskRW_JEDI(jobSpec.jediTaskID)
             if expRW == None:
                 tmpLog.error('failed to calculate RW for jediTaskID={0}'.format(jobSpec.jediTaskID))
                 return retTmpError
             expRWs[jobSpec.taskID] = expRW
     # for old clouds
     if jobSpecList != []:
         # get fullRWs
         fullRWs = self.taskBufferIF.calculateRWwithPrio_JEDI(vo,prodSourceLabel,None,None)
         if fullRWs == None:
             tmpLog.error('failed to calculate full RW')
             return retTmpError
         # set metadata
         for jobSpec in jobSpecList:
             rwValues = allRwMap[jobSpec.currentPriority]
             jobSpec.metadata = "%s;%s;%s;%s;%s;%s" % (jobSpec.metadata,
                                                       str(rwValues),str(expRWs),
                                                       str(prioMap),str(fullRWs),
                                                       str(tt2Map))
         tmpLog.debug('run task assigner for {0} tasks'.format(len(jobSpecList)))
         nBunchTask = 0
         while nBunchTask < len(jobSpecList):
             # get a bunch
             jobsBunch = jobSpecList[nBunchTask:nBunchTask+maxBunchTask]
             strIDs = 'jediTaskID='
             for tmpJobSpec in jobsBunch:
                 strIDs += '{0},'.format(tmpJobSpec.taskID)
             strIDs = strIDs[:-1]
             tmpLog.debug(strIDs)
             # increment index
             nBunchTask += maxBunchTask
             # run task brokerge
             stS,outSs = PandaClient.runTaskAssignment(jobsBunch)
             tmpLog.debug('{0}:{1}'.format(stS,str(outSs)))
     # for WORLD
     if len(inputListWorld) > 0:
         # thread pool
         threadPool = ThreadPool()
         # get full RW for WORLD
         fullRWs = self.taskBufferIF.calculateWorldRWwithPrio_JEDI(vo,prodSourceLabel,None,None)
         if fullRWs == None:
             tmpLog.error('failed to calculate full WORLD RW')
             return retTmpError
         # get RW per priority
         for taskSpec,inputChunk in inputListWorld:
             if not taskSpec.currentPriority in allRwMap:
                 tmpRW = self.taskBufferIF.calculateWorldRWwithPrio_JEDI(vo,prodSourceLabel,workQueue,
                                                                         taskSpec.currentPriority)
                 if tmpRW == None:
                     tmpLog.error('failed to calculate RW with prio={0}'.format(taskSpec.currentPriority))
                     return retTmpError
                 allRwMap[taskSpec.currentPriority] = tmpRW
         # live counter for RWs
         liveCounter = MapWithLock(allRwMap)
         # make workers
         ddmIF = self.ddmIF.getInterface(vo)
         for iWorker in range(4):
             thr = AtlasProdTaskBrokerThread(inputListWorld,threadPool,
                                             self.taskBufferIF,ddmIF,
                                             fullRWs,liveCounter)
             thr.start()
         threadPool.join(60*10)
     # return
     tmpLog.debug('doBrokerage done')
     return self.SC_SUCCEEDED
Ejemplo n.º 2
0
 def doBrokerage(self, inputList, vo, prodSourceLabel, workQueue):
     # variables for submission
     maxBunchTask = 100
     # make logger
     tmpLog = MsgWrapper(logger)
     tmpLog.debug('start doBrokerage')
     # return for failure
     retFatal = self.SC_FATAL
     retTmpError = self.SC_FAILED
     tmpLog.debug('vo={0} label={1} queue={2}'.format(
         vo, prodSourceLabel, workQueue.queue_name))
     # loop over all tasks
     allRwMap = {}
     prioMap = {}
     tt2Map = {}
     expRWs = {}
     jobSpecList = []
     for tmpJediTaskID, tmpInputList in inputList:
         for taskSpec, cloudName, inputChunk in tmpInputList:
             # make JobSpec to be submitted for TaskAssigner
             jobSpec = JobSpec()
             jobSpec.taskID = taskSpec.jediTaskID
             jobSpec.jediTaskID = taskSpec.jediTaskID
             # set managed to trigger TA
             jobSpec.prodSourceLabel = 'managed'
             jobSpec.processingType = taskSpec.processingType
             jobSpec.workingGroup = taskSpec.workingGroup
             jobSpec.metadata = taskSpec.processingType
             jobSpec.assignedPriority = taskSpec.taskPriority
             jobSpec.currentPriority = taskSpec.currentPriority
             jobSpec.maxDiskCount = (
                 taskSpec.getOutDiskSize() +
                 taskSpec.getWorkDiskSize()) / 1024 / 1024
             if taskSpec.useWorldCloud():
                 # use destinationSE to trigger task brokerage in WORLD cloud
                 jobSpec.destinationSE = taskSpec.cloud
             prodDBlock = None
             setProdDBlock = False
             for datasetSpec in inputChunk.getDatasets():
                 prodDBlock = datasetSpec.datasetName
                 if datasetSpec.isMaster():
                     jobSpec.prodDBlock = datasetSpec.datasetName
                     setProdDBlock = True
                 for fileSpec in datasetSpec.Files:
                     tmpInFileSpec = fileSpec.convertToJobFileSpec(
                         datasetSpec)
                     jobSpec.addFile(tmpInFileSpec)
             # use secondary dataset name as prodDBlock
             if setProdDBlock == False and prodDBlock != None:
                 jobSpec.prodDBlock = prodDBlock
             # append
             jobSpecList.append(jobSpec)
             prioMap[jobSpec.taskID] = jobSpec.currentPriority
             tt2Map[jobSpec.taskID] = jobSpec.processingType
             # get RW for a priority
             if not allRwMap.has_key(jobSpec.currentPriority):
                 tmpRW = self.taskBufferIF.calculateRWwithPrio_JEDI(
                     vo, prodSourceLabel, workQueue,
                     jobSpec.currentPriority)
                 if tmpRW == None:
                     tmpLog.error(
                         'failed to calculate RW with prio={0}'.format(
                             jobSpec.currentPriority))
                     return retTmpError
                 allRwMap[jobSpec.currentPriority] = tmpRW
             # get expected RW
             expRW = self.taskBufferIF.calculateTaskRW_JEDI(
                 jobSpec.jediTaskID)
             if expRW == None:
                 tmpLog.error(
                     'failed to calculate RW for jediTaskID={0}'.format(
                         jobSpec.jediTaskID))
                 return retTmpError
             expRWs[jobSpec.taskID] = expRW
     # get fullRWs
     fullRWs = self.taskBufferIF.calculateRWwithPrio_JEDI(
         vo, prodSourceLabel, None, None)
     if fullRWs == None:
         tmpLog.error('failed to calculate full RW')
         return retTmpError
     # set metadata
     for jobSpec in jobSpecList:
         rwValues = allRwMap[jobSpec.currentPriority]
         jobSpec.metadata = "%s;%s;%s;%s;%s;%s" % (
             jobSpec.metadata, str(rwValues), str(expRWs), str(prioMap),
             str(fullRWs), str(tt2Map))
     tmpLog.debug('run task assigner for {0} tasks'.format(
         len(jobSpecList)))
     nBunchTask = 0
     while nBunchTask < len(jobSpecList):
         # get a bunch
         jobsBunch = jobSpecList[nBunchTask:nBunchTask + maxBunchTask]
         strIDs = 'jediTaskID='
         for tmpJobSpec in jobsBunch:
             strIDs += '{0},'.format(tmpJobSpec.taskID)
         strIDs = strIDs[:-1]
         tmpLog.debug(strIDs)
         # increment index
         nBunchTask += maxBunchTask
         # run task brokerge
         stS, outSs = PandaClient.runTaskAssignment(jobsBunch)
         tmpLog.debug('{0}:{1}'.format(stS, str(outSs)))
     # return
     tmpLog.debug('done')
     return self.SC_SUCCEEDED
Ejemplo n.º 3
0
 def doBrokerage(self, inputList, vo, prodSourceLabel, workQueue):
     # variables for submission
     maxBunchTask = 100
     # make logger
     tmpLog = MsgWrapper(logger)
     tmpLog.debug("start doBrokerage")
     # return for failure
     retFatal = self.SC_FATAL
     retTmpError = self.SC_FAILED
     tmpLog.debug("vo={0} label={1} queue={2}".format(vo, prodSourceLabel, workQueue.queue_name))
     # loop over all tasks
     allRwMap = {}
     prioMap = {}
     tt2Map = {}
     expRWs = {}
     jobSpecList = []
     for tmpJediTaskID, tmpInputList in inputList:
         for taskSpec, cloudName, inputChunk in tmpInputList:
             # make JobSpec to be submitted for TaskAssigner
             jobSpec = JobSpec()
             jobSpec.taskID = taskSpec.jediTaskID
             jobSpec.jediTaskID = taskSpec.jediTaskID
             # set managed to trigger TA
             jobSpec.prodSourceLabel = "managed"
             jobSpec.processingType = taskSpec.processingType
             jobSpec.workingGroup = taskSpec.workingGroup
             jobSpec.metadata = taskSpec.processingType
             jobSpec.assignedPriority = taskSpec.taskPriority
             jobSpec.currentPriority = taskSpec.currentPriority
             jobSpec.maxDiskCount = (taskSpec.getOutDiskSize() + taskSpec.getWorkDiskSize()) / 1024 / 1024
             if taskSpec.useWorldCloud():
                 # use destinationSE to trigger task brokerage in WORLD cloud
                 jobSpec.destinationSE = taskSpec.cloud
             prodDBlock = None
             setProdDBlock = False
             for datasetSpec in inputChunk.getDatasets():
                 prodDBlock = datasetSpec.datasetName
                 if datasetSpec.isMaster():
                     jobSpec.prodDBlock = datasetSpec.datasetName
                     setProdDBlock = True
                 for fileSpec in datasetSpec.Files:
                     tmpInFileSpec = fileSpec.convertToJobFileSpec(datasetSpec)
                     jobSpec.addFile(tmpInFileSpec)
             # use secondary dataset name as prodDBlock
             if setProdDBlock == False and prodDBlock != None:
                 jobSpec.prodDBlock = prodDBlock
             # append
             jobSpecList.append(jobSpec)
             prioMap[jobSpec.taskID] = jobSpec.currentPriority
             tt2Map[jobSpec.taskID] = jobSpec.processingType
             # get RW for a priority
             if not allRwMap.has_key(jobSpec.currentPriority):
                 tmpRW = self.taskBufferIF.calculateRWwithPrio_JEDI(
                     vo, prodSourceLabel, workQueue, jobSpec.currentPriority
                 )
                 if tmpRW == None:
                     tmpLog.error("failed to calculate RW with prio={0}".format(jobSpec.currentPriority))
                     return retTmpError
                 allRwMap[jobSpec.currentPriority] = tmpRW
             # get expected RW
             expRW = self.taskBufferIF.calculateTaskRW_JEDI(jobSpec.jediTaskID)
             if expRW == None:
                 tmpLog.error("failed to calculate RW for jediTaskID={0}".format(jobSpec.jediTaskID))
                 return retTmpError
             expRWs[jobSpec.taskID] = expRW
     # get fullRWs
     fullRWs = self.taskBufferIF.calculateRWwithPrio_JEDI(vo, prodSourceLabel, None, None)
     if fullRWs == None:
         tmpLog.error("failed to calculate full RW")
         return retTmpError
     # set metadata
     for jobSpec in jobSpecList:
         rwValues = allRwMap[jobSpec.currentPriority]
         jobSpec.metadata = "%s;%s;%s;%s;%s;%s" % (
             jobSpec.metadata,
             str(rwValues),
             str(expRWs),
             str(prioMap),
             str(fullRWs),
             str(tt2Map),
         )
     tmpLog.debug("run task assigner for {0} tasks".format(len(jobSpecList)))
     nBunchTask = 0
     while nBunchTask < len(jobSpecList):
         # get a bunch
         jobsBunch = jobSpecList[nBunchTask : nBunchTask + maxBunchTask]
         strIDs = "jediTaskID="
         for tmpJobSpec in jobsBunch:
             strIDs += "{0},".format(tmpJobSpec.taskID)
         strIDs = strIDs[:-1]
         tmpLog.debug(strIDs)
         # increment index
         nBunchTask += maxBunchTask
         # run task brokerge
         stS, outSs = PandaClient.runTaskAssignment(jobsBunch)
         tmpLog.debug("{0}:{1}".format(stS, str(outSs)))
     # return
     tmpLog.debug("done")
     return self.SC_SUCCEEDED
Ejemplo n.º 4
0
 def doBrokerage(self, inputList, vo, prodSourceLabel, workQueue,
                 resource_name):
     # list with a lock
     inputListWorld = ListWithLock([])
     # variables for submission
     maxBunchTask = 100
     # make logger
     tmpLog = MsgWrapper(logger)
     tmpLog.debug('start doBrokerage')
     # return for failure
     retFatal = self.SC_FATAL
     retTmpError = self.SC_FAILED
     tmpLog.debug(
         'vo={0} label={1} queue={2} resource_name={3} nTasks={4}'.format(
             vo, prodSourceLabel, workQueue.queue_name, resource_name,
             len(inputList)))
     # loop over all tasks
     allRwMap = {}
     prioMap = {}
     tt2Map = {}
     expRWs = {}
     jobSpecList = []
     for tmpJediTaskID, tmpInputList in inputList:
         for taskSpec, cloudName, inputChunk in tmpInputList:
             # collect tasks for WORLD
             if taskSpec.useWorldCloud():
                 inputListWorld.append((taskSpec, inputChunk))
                 continue
             # make JobSpec to be submitted for TaskAssigner
             jobSpec = JobSpec()
             jobSpec.taskID = taskSpec.jediTaskID
             jobSpec.jediTaskID = taskSpec.jediTaskID
             # set managed to trigger TA
             jobSpec.prodSourceLabel = 'managed'
             jobSpec.processingType = taskSpec.processingType
             jobSpec.workingGroup = taskSpec.workingGroup
             jobSpec.metadata = taskSpec.processingType
             jobSpec.assignedPriority = taskSpec.taskPriority
             jobSpec.currentPriority = taskSpec.currentPriority
             jobSpec.maxDiskCount = (
                 taskSpec.getOutDiskSize() +
                 taskSpec.getWorkDiskSize()) // 1024 // 1024
             if taskSpec.useWorldCloud():
                 # use destinationSE to trigger task brokerage in WORLD cloud
                 jobSpec.destinationSE = taskSpec.cloud
             prodDBlock = None
             setProdDBlock = False
             for datasetSpec in inputChunk.getDatasets():
                 prodDBlock = datasetSpec.datasetName
                 if datasetSpec.isMaster():
                     jobSpec.prodDBlock = datasetSpec.datasetName
                     setProdDBlock = True
                 for fileSpec in datasetSpec.Files:
                     tmpInFileSpec = fileSpec.convertToJobFileSpec(
                         datasetSpec)
                     jobSpec.addFile(tmpInFileSpec)
             # use secondary dataset name as prodDBlock
             if setProdDBlock is False and prodDBlock is not None:
                 jobSpec.prodDBlock = prodDBlock
             # append
             jobSpecList.append(jobSpec)
             prioMap[jobSpec.taskID] = jobSpec.currentPriority
             tt2Map[jobSpec.taskID] = jobSpec.processingType
             # get RW for a priority
             if jobSpec.currentPriority not in allRwMap:
                 tmpRW = self.taskBufferIF.calculateRWwithPrio_JEDI(
                     vo, prodSourceLabel, workQueue,
                     jobSpec.currentPriority)
                 if tmpRW is None:
                     tmpLog.error(
                         'failed to calculate RW with prio={0}'.format(
                             jobSpec.currentPriority))
                     return retTmpError
                 allRwMap[jobSpec.currentPriority] = tmpRW
             # get expected RW
             expRW = self.taskBufferIF.calculateTaskRW_JEDI(
                 jobSpec.jediTaskID)
             if expRW is None:
                 tmpLog.error(
                     'failed to calculate RW for jediTaskID={0}'.format(
                         jobSpec.jediTaskID))
                 return retTmpError
             expRWs[jobSpec.taskID] = expRW
     # for old clouds
     if jobSpecList != []:
         # get fullRWs
         fullRWs = self.taskBufferIF.calculateRWwithPrio_JEDI(
             vo, prodSourceLabel, None, None)
         if fullRWs is None:
             tmpLog.error('failed to calculate full RW')
             return retTmpError
         # set metadata
         for jobSpec in jobSpecList:
             rwValues = allRwMap[jobSpec.currentPriority]
             jobSpec.metadata = "%s;%s;%s;%s;%s;%s" % (
                 jobSpec.metadata, str(rwValues), str(expRWs), str(prioMap),
                 str(fullRWs), str(tt2Map))
         tmpLog.debug('run task assigner for {0} tasks'.format(
             len(jobSpecList)))
         nBunchTask = 0
         while nBunchTask < len(jobSpecList):
             # get a bunch
             jobsBunch = jobSpecList[nBunchTask:nBunchTask + maxBunchTask]
             strIDs = 'jediTaskID='
             for tmpJobSpec in jobsBunch:
                 strIDs += '{0},'.format(tmpJobSpec.taskID)
             strIDs = strIDs[:-1]
             tmpLog.debug(strIDs)
             # increment index
             nBunchTask += maxBunchTask
             # run task brokerge
             stS, outSs = PandaClient.runTaskAssignment(jobsBunch)
             tmpLog.debug('{0}:{1}'.format(stS, str(outSs)))
     # for WORLD
     if len(inputListWorld) > 0:
         # thread pool
         threadPool = ThreadPool()
         # get full RW for WORLD
         fullRWs = self.taskBufferIF.calculateWorldRWwithPrio_JEDI(
             vo, prodSourceLabel, None, None)
         if fullRWs is None:
             tmpLog.error('failed to calculate full WORLD RW')
             return retTmpError
         # get RW per priority
         for taskSpec, inputChunk in inputListWorld:
             if taskSpec.currentPriority not in allRwMap:
                 tmpRW = self.taskBufferIF.calculateWorldRWwithPrio_JEDI(
                     vo, prodSourceLabel, workQueue,
                     taskSpec.currentPriority)
                 if tmpRW is None:
                     tmpLog.error(
                         'failed to calculate RW with prio={0}'.format(
                             taskSpec.currentPriority))
                     return retTmpError
                 allRwMap[taskSpec.currentPriority] = tmpRW
         # live counter for RWs
         liveCounter = MapWithLock(allRwMap)
         # make workers
         ddmIF = self.ddmIF.getInterface(vo)
         for iWorker in range(4):
             thr = AtlasProdTaskBrokerThread(inputListWorld, threadPool,
                                             self.taskBufferIF, ddmIF,
                                             fullRWs, liveCounter,
                                             workQueue)
             thr.start()
         threadPool.join(60 * 10)
     # return
     tmpLog.debug('doBrokerage done')
     return self.SC_SUCCEEDED